The number that no industry analyst will say out loud at a conference but that every tech worker whispers at the coffee machine is this: in the first quarter of this year alone, the global technology sector has already eliminated more than 59,000 jobs. At a pace of roughly 736 per day, the industry is cutting faster in early 2026 than it did during all of 2025, when the full-year toll reached 245,953 across 783 separate layoff events.
This is not a correction. It is a restructuring of civilizational proportions.
The layoffs of 2022 and 2023 were blamed on pandemic-era overhiring. The cuts of 2024 were attributed to macro uncertainty and slowing enterprise spend. What is happening now has a different character entirely. For the first time in the industry’s history, company after company is not just announcing headcount reductions but explicitly naming artificial intelligence as the replacement mechanism. Block CEO Jack Dorsey wrote it directly in a company-wide memo: “This is not driven by financial difficulty, but by the growing capability of AI tools to perform a wider range of tasks.” Amazon, despite posting record revenues of $716.9 billion in 2025, announced 16,000 cuts in a single sweep. The companies cutting the deepest are among the most profitable in human history.
This article covers the five largest IT companies by headcount in each of the four major global tech markets: India, the United States, the European Union, and the United Kingdom. For each company, this analysis covers the specific number of layoffs in the last six months, the official and real reasons behind them, which roles and geographies were hit hardest, and what the company’s trajectory looks like through the rest of the year. No news outlet has covered all twenty companies at this depth and in this comparative framework. The goal is to give every reader, whether a software engineer in Bengaluru, a program manager in Seattle, a solutions architect in Stockholm, or a delivery manager in London, the most complete picture available of what is happening and why.
The Macro Picture: Why This Wave Is Different from Every Previous One
Before diving into company-by-company specifics, it is essential to understand what makes the current layoff wave structurally different from anything the industry has seen before. There have been four major tech layoff waves since 2000: the dot-com bust of 2000-2002, the global financial crisis contraction of 2008-2009, the post-pandemic correction of 2022-2023, and the current AI-driven restructuring that began in earnest in late 2024 and has now accelerated into a full industry reckoning.
Each previous wave shared a common feature: the jobs came back. After the dot-com bust, the industry rebuilt and hired back to pre-crash levels within five years. After the financial crisis, tech employment surged through the 2010s. After the 2022-2023 post-pandemic correction, most of the cut roles were simply paused rather than eliminated, and companies resumed hiring within 18 months. The majority of analysts and economists now believe the current wave is fundamentally different in one crucial respect: a significant portion of the eliminated roles will not return.
The reason is structural. AI and automation are not being deployed to supplement human workers. They are being deployed to replace entire workflow layers. When IBM cuts 8,000 positions in its HR division and replaces those functions with AI-assisted tools, those are not roles that will return when the economy improves. When Salesforce reduces its customer support headcount by 4,000 and reports that AI agents now handle the majority of customer inquiries at higher satisfaction scores, those seats are gone permanently. When TCS completes a financial services transformation project in three and a half years instead of five by using AI-assisted delivery, the headcount that would have sustained a five-year engagement simply does not get billed.
Three forces are converging simultaneously to create this wave. The first is the maturation of large language models and agentic AI systems. The second generation of enterprise AI tools is genuinely capable of performing complex, multi-step workflows across software development, customer support, document processing, quality assurance, data analysis, and a widening range of knowledge work functions. The second force is shareholder pressure. Companies that have invested billions in AI infrastructure are now being asked by analysts and investors to demonstrate returns, and the most direct route to demonstrable ROI is operational efficiency, which in practice means headcount reduction. The third force is competitive dynamics. Once one company in a sector announces AI-driven cuts and reports improved margins, every competitor faces pressure to follow, or risk being seen as slower to modernise.
The geographic distribution of these cuts is also telling. According to RationalFX, the United States accounts for the overwhelming majority of announced cuts by raw numbers. However, the ripple effects in India are arguably more consequential per capita, because the entire delivery model of the Indian IT services industry was built on headcount-based billing. When a major US bank reduces its outsourcing engagement from 800 seats to 400 because AI tools now handle the middle tier, it is Indian IT companies that absorb that structural demand loss.
The European picture is characterised by slower movement - partly because labour laws make rapid headcount reduction more costly and legally complex - but also by sector-specific crises in semiconductors and telecommunications that are layering on top of the AI disruption. The UK sits in a peculiar position, exposed to both the European regulatory environment and the aggressive cost-cutting culture of its US-headquartered major employers.
With that context established, this analysis now turns to the twenty companies at the centre of this story.
PART ONE: INDIA
India’s five largest IT companies by headcount have a combined workforce of approximately 1.56 million people, making them among the largest employers in the private sector anywhere in the world. These five firms - Tata Consultancy Services, Infosys, Wipro, HCL Technologies, and Tech Mahindra - collectively generate revenues that sustain entire regional economies in cities like Bengaluru, Hyderabad, Chennai, Pune, and Noida. The stakes of what is happening to their workforces are therefore not merely corporate. They are social.
1. Tata Consultancy Services (TCS) - The Giant Contracts
Total Headcount (September 2025): 593,314
Headcount Change in Last Six Months: Reduction of approximately 19,755 employees from Q1 to Q2 FY26, plus an announced additional 12,000 cuts targeting completion by March 2026.
Total Estimated Reduction in Last Six Months: 25,000 to 30,000 employees across announced restructuring and attrition-driven exits.
Tata Consultancy Services is the largest IT employer in India and one of the largest in the world. At its peak headcount in recent years, TCS employed over 614,000 people - a number so large it exceeds the population of most major European cities. The company has long defined itself not merely as a technology services firm but as a mass employment engine, famously absorbing tens of thousands of engineering graduates from Indian colleges every year through its National Qualifier Test and ILP programmes.
That identity is under direct pressure.
In the second quarter of FY26, TCS recorded a headcount decline of 19,755 employees - the largest single-quarter reduction in the company’s history. The company’s chief HR officer, Sudeep Kunnumal, described the change as a “restructuring exercise” affecting only about 1% of the workforce, approximately 6,000 people released in a defined reallocation. However, the net numbers tell a story that is harder to reframe. Even accounting for natural attrition running at 13.8% annually, the scale of the decline indicates a deliberate pivot in workforce strategy, not merely the product of people leaving of their own accord.
The deeper story at TCS is the shift in how the company is delivering work. At the earnings call for Q2 FY26, the management team referenced a financial services transformation project in which AI-assisted delivery compressed a five-year engagement into three and a half years. Fewer billable hours means fewer people required to deliver the same outcome. When this pattern replicates across thousands of concurrent client engagements, the aggregate effect on headcount is enormous even if no single announcement reads as a traditional mass layoff.
TCS CEO K Krithivasan has framed the 12,000 announced cuts as a response to “skill mismatch” - the gap between what clients now require and what portions of the existing workforce are trained to deliver. This framing is important because it is both accurate and incomplete. There is a genuine skills mismatch: roles built around manual testing, documentation, data entry, and routine code generation are genuinely being displaced by AI tools. However, calling it purely a skills issue obscures the structural demand reduction that is also happening at the project level.
Roles and Functions Most Affected
The roles most vulnerable at TCS fall into several categories. Manual software testing and quality assurance teams have seen disproportionate impact, as automated testing frameworks now cover testing workloads that previously required large teams. Business process outsourcing roles that involve document processing, data extraction, and workflow routing have been substantially automated. Entry-level programming roles - particularly those involving code maintenance, bug fixing, and routine feature implementation - are being displaced by AI code generation tools that senior developers can use to produce the same output with a fraction of the human hours.
Conversely, TCS reports that it now has over 114,000 employees with what it calls “higher-order AI skills” - the ability to design, prompt, validate, and govern AI systems rather than simply execute traditional software development tasks. The company is not losing ground in absolute revenue terms; its Q2 FY26 revenues remained stable. What is changing is the ratio of people to revenue, which is rising in favour of revenue. That is good for margins and bad for headcount.
The Fresher Hiring Paradox
One of the most confusing signals in TCS’s communication over the last six months has been its public commitment to hiring 42,000 freshers in FY26. This headline number creates the impression of an expanding company, but it must be understood in context. First, 42,000 freshers is the same number TCS announced for FY25, meaning there is no actual increase. Second, the company’s net headcount is declining sharply, which means it is simultaneously onboarding freshers and separating experienced employees in much larger numbers. Third, reports from industry associations indicate that over 600 experienced professionals whose joining letters were deferred by TCS have yet to receive onboarding dates, suggesting even the fresher pipeline is moving more slowly than the headline suggests.
The underlying logic of continuing fresher hiring while cutting mid-career employees makes financial sense from TCS’s perspective. Freshers cost significantly less. They enter at trainee salaries and can be shaped to work with AI tools from day one. Experienced employees who built their careers in legacy delivery models cost two to four times as much and require significant reskilling investment to repurpose. From a margin optimisation standpoint, the math is straightforward.
Geographic Impact
The layoffs at TCS have not been evenly distributed geographically. Offshore centres in Bengaluru, Chennai, and Hyderabad have absorbed the bulk of reductions in India, as these cities host the largest concentrations of the mid-level delivery workforce. Onsite roles in the United States and United Kingdom have been cut in smaller absolute numbers but at high-profile levels, with some senior client-facing positions eliminated as AI-enhanced project delivery reduces the need for large onsite teams. Tier-2 city offices in cities like Nagpur, Coimbatore, and Bhubaneswar that TCS expanded into during the post-pandemic hiring surge have seen the most concentrated proportional cuts.
What Comes Next for TCS
The company’s leadership has been careful not to quantify future targets, but the structural pressures leave little room for ambiguity. TCS has committed to AI-first delivery across its entire client portfolio, and the efficiency gains promised to clients will require continued reduction in the labour intensity of delivery. Analyst estimates from firms including Kotak Institutional Equities and Nomura suggest the company will continue operating with a headcount band of 560,000 to 580,000 through the end of the current fiscal year, implying further net reduction from the September 2025 level of 593,314. The longer-term scenario - depending on the pace of AI capability growth and the speed of enterprise adoption - could see headcount drop below 550,000 within two fiscal years.
For the hundreds of thousands of engineers currently employed by TCS, the message from the data is not that the company is failing. TCS revenues remain stable, client relationships are intact, and the brand continues to carry enormous weight in the Indian IT market. The message is that job security in IT services can no longer be assumed based on institutional affiliation. The skills that create value in the new model are genuinely different from those that created value in the old one.
2. Infosys - The Carefully Worded Slowdown
Total Headcount (Q2 FY26, September 2025): Approximately 317,240
Headcount Change in Last Six Months: Net decline from approximately 323,788 to current levels, representing a reduction of approximately 6,548 employees.
Additional Context: Fresher onboarding dramatically slowed. Only 15,000 trainees hired in FY25, versus 50,000 in FY22.
Infosys, India’s second-largest IT employer and one of the most recognised names in global technology services, has pursued a more carefully calibrated communication strategy around workforce reduction than TCS. Where TCS made a blunt announcement of a 2% cut affecting over 12,000 employees, Infosys has executed its contraction through a combination of performance-managed exits, deferred fresher onboarding, and selective natural attrition management that collectively produces a similar directional outcome without a headline-grabbing announcement.
The numbers tell the story regardless of framing. Infosys hired 15,000 trainees in FY25, compared to an average of 50,000 per year during the peak hiring years of FY22 and FY23. Utilisation dropped to 84.4% in Q2 FY26, meaning roughly 15.6% of the billable workforce was either on bench or in training at any given time. Attrition rose to 14.4% - a figure that, while not unusual for the industry, is being allowed to naturally reduce headcount rather than being combated with aggressive retention measures.
The Topaz Platform and What It Means for Headcount
The most significant development at Infosys over the last six months has not been a layoff announcement but the scaling of its Topaz AI platform. Topaz is Infosys’s proprietary suite of AI tools designed for internal use in client delivery. It includes AI-assisted code generation, automated testing frameworks, AI-powered document summarisation, and intelligent project management tools.
The Infosys management team has presented Topaz in every quarterly earnings call as a productivity enabler. The subtext, which analysts have been explicitly naming, is that productivity enablement at the delivery layer translates directly into fewer billable hours for the same deliverable. When Topaz reduces the time to write and test a module from three developer-weeks to one, the client may pay the same or slightly less for the outcome, but the revenue per person delivered to that project increases while the number of people required decreases.
Infosys CEO Salil Parekh has been one of the more forthcoming voices in the Indian IT industry about the role AI is playing in reshaping delivery economics. He has spoken publicly about AI handling “25 to 30 percent of internal code generation” at Infosys, a figure that the engineering community has noted would be extraordinary if applied uniformly across a 317,000-person workforce.
The Fresher Onboarding Crisis
For prospective employees, the most visible symptom of Infosys’s workforce contraction is the state of its fresher onboarding pipeline. Reports from job placement forums, engineering college placement offices, and NITES (Nascent Information Technology Employees Senate) indicate that hundreds of Infosys recruits who received offer letters in FY24 and FY25 have faced repeated joining date deferrals. While Infosys has not issued a blanket cancellation, the de facto result for many affected candidates is the same: months of unemployment while holding a letter that provides neither income nor certainty.
The company’s public guidance for FY26 fresher hiring is 20,000, a significant increase from FY25’s 15,000 but still dramatically below the 50,000+ rates of the peak years. And even this figure is contingent on demand, which remains sensitive to global macro conditions, particularly the pace of US enterprise technology spending, which has been softened by tariff-induced economic uncertainty.
Which Roles Are Disappearing at Infosys
The roles most affected at Infosys mirror the broader industry pattern but with some company-specific concentrations. Infosys has long had significant exposure to banking, financial services, and insurance (BFSI) clients, which account for the largest share of its revenue. Within BFSI, the projects most vulnerable to AI disruption are those involving large-scale document processing, compliance reporting, data reconciliation, and back-office workflow automation. These are precisely the areas where Infosys’s Topaz platform claims its highest productivity gains.
In the engineering services segment, which represents Infosys’s fastest-growing practice, the role profile is shifting. Traditional mechanical design documentation, embedded systems testing, and specifications management are being partially automated, while demand grows for AI model validation, data pipeline engineering, and MLOps roles. Infosys is retraining a portion of its engineering workforce for these new functions, but the ratio of roles eliminated to roles created is not one-to-one.
The Leadership Signal
One telling indicator of Infosys’s strategic direction came from CEO Salil Parekh’s compensation, which rose 22% in FY25 to Rs 80.6 crore. In a year when headcount contracted and fresher hiring halved, the increase in CEO compensation signals board confidence in the efficiency-driven direction rather than in growth. The investor community has rewarded this direction: Infosys shares have been more stable than peers that have prioritised headcount growth over margin expansion.
The net message for Infosys employees is nuanced but important: the company is not in financial distress, it is not losing clients, and it has not lost its reputation for execution. But it is deliberately becoming a smaller, leaner, higher-margin company, and the workforce reduction is intentional.
3. Wipro - The Steepest Decline
Total Headcount (March 2025): 233,346
Headcount Change in Last Six Months: Wipro has shown net additions in some quarters while contraction continues in others. Over the two-year period from FY23 to FY25, Wipro recorded the steepest headcount decline among the top four Indian IT firms, shedding approximately 25,200 jobs.
Attrition Rate (Q2 FY26): 14.3%, the highest among the big five.
Wipro’s story over the last 24 months has been the most dramatic contraction narrative in Indian IT. The company shed 25,200 positions over two fiscal years - the deepest proportional cut among any of the top four firms - while simultaneously undergoing two major organisational restructurings and a CEO transition that brought Srinivas Pallia to the top role in early FY25.
The scale of Wipro’s decline cannot be entirely attributed to AI disruption. A significant portion reflects genuine client portfolio challenges. Wipro had built significant exposure to the BFSI and consumer sectors that were most aggressively cutting IT budgets in 2023 and 2024. It had also expanded aggressively in the Americas during the post-pandemic hiring surge, and when discretionary project spending contracted sharply in that region, Wipro’s bench swelled beyond what the company could sustain.
The CEO Transition and Strategic Reset
When Thierry Delaporte stepped down and Srinivas Pallia took over as CEO, it marked a decisive shift in Wipro’s direction. Pallia’s mandate from the board was explicit: improve margins, reduce the bench, and reorient the company around AI-driven delivery. Under his leadership, Wipro has pursued what it calls an “AI-first” strategy with genuine urgency.
One of the most significant steps in this direction was Wipro’s campus recruitment strategy overhaul. The company reduced its fresher hiring guidance from 10,000-12,000 to approximately 7,500-8,000 for FY26, and even within this reduced target, actual onboarding has moved slowly. Approximately 200 Wipro recruits publicly flagged on forums and social media that they had been waiting over seven months for their joining dates with no substantive communication from the company. This situation, while less publicised than TCS’s fresher controversies, reflects the same underlying dynamic: Wipro is onboarding freshers at a pace dictated by actual project demand rather than by recruitment commitments.
The 14.3% Attrition Problem
Of the big five, Wipro’s attrition rate of 14.3% is the highest, and it creates a complicated situation. On one hand, high attrition automatically reduces headcount without requiring explicit layoff announcements. On the other hand, high attrition in a competitive talent market often signals that the most mobile - and often the most capable - employees are choosing to leave, a phenomenon sometimes called “regret attrition” in HR analysis. If Wipro is losing its best engineers to competitors, it may be simultaneously over-resourced in low-demand skill areas and under-resourced in high-demand ones, creating a bench that is large but not necessarily deployable.
Wipro’s “AI-first” training programme is attempting to address this by rapidly reskilling the bench, but reskilling at the scale Wipro requires is not a months-long exercise. It is a multi-year programme, and its success depends on whether demand recovers fast enough to absorb the retrained workforce before further contraction forces additional exits.
Revenue Per Employee: The New Benchmark
One of the most telling metrics in Wipro’s FY26 earnings is the trend in revenue per employee (RPE). As headcount declined, RPE at Wipro improved - indicating that the remaining workforce is either being deployed on higher-value projects or being used more efficiently through AI tools. From an investor standpoint, this is the right direction. From an employee standpoint, it means that job security at Wipro is increasingly a function of one’s specific skill value to AI-era projects rather than simply tenure or band level.
The employees most at risk at Wipro are those in large infrastructure management accounts where automation has reduced human-touch requirements, those in legacy ERP maintenance roles being displaced by AI-driven incident management, and those in process roles that the company has explicitly said will be handled by AI agents.
4. HCL Technologies - The Measured Exception
Total Headcount (March 2025): 223,420
Headcount Change in Last Six Months: HCL added 3,489 employees in Q2 FY26, making it the only major Indian IT company to post meaningful positive headcount growth in that period.
Headcount Change Over Two Years: A reduction of approximately 287 roles over two years - the smallest proportional change among the top four firms.
HCL Technologies presents itself as the contrarian data point in this analysis, and the data supports that positioning to a degree. While TCS, Infosys, and Wipro were contracting, HCL was adding headcount in Q2 FY26, growing by 3,489 employees in a quarter when the broader industry was shedding thousands. Over the two-year period from FY23 to FY25, HCL’s net headcount change was approximately 287 - rounding to effectively zero versus the tens of thousands lost by its peers.
The explanation for HCL’s relative stability lies partly in its portfolio mix and partly in its approach to transformation projects.
Engineering Services: The Structural Advantage
HCL Technologies derives a significantly higher proportion of its revenue from engineering services - specifically from embedded systems, semiconductor design, aerospace, automotive, and industrial engineering clients - compared to TCS or Infosys, which are more heavily weighted toward IT services. Engineering services, while not immune to AI disruption, have a slower automation pace than pure IT services. The physical domain knowledge required for automotive embedded systems validation, aerospace software certification, and semiconductor design verification is harder to replace with current-generation AI tools than the code maintenance or business process work that forms the bulk of IT services revenue.
Additionally, HCL has several mega-deals in its engineering services backlog with multi-year horizons that provide headcount stability. When a major European automotive OEM contracts HCL for a five-year software-defined vehicle platform programme, that creates a stable demand anchor that is not immediately subject to AI-driven reduction.
The HCL Force AI Platform and Revenue Per Employee
HCL’s chief people officer Ramachandran Sundararajan noted in the Q2 FY26 earnings call that revenue per employee was rising even as headcount growth was muted. The company’s AI Force platform - HCL’s equivalent of Infosys’s Topaz - is being credited with improving delivery efficiency. The difference at HCL is that this efficiency improvement is being expressed as the ability to take on more projects with the same headcount, rather than as a reduction in the headcount needed for existing projects. This is a subtle but crucial distinction: HCL is using AI to grow productivity rather than primarily to reduce payroll.
The company has also been one of the more aggressive in addressing what CEO C Vijayakumar called “skill location mismatch” - not by separating employees but by geographically reallocating teams to align with where client demand exists. HCL’s global delivery network allows it to shift teams between India, Eastern Europe, Latin America, and Southeast Asia more fluidly than competitors with a more concentrated delivery footprint.
The Cautionary Note
HCL’s relative stability should not be read as immunity to the broader industry pressures. The engineering services segment that provides its buffer is itself beginning to see AI disruption in areas like requirements documentation, test case generation, and simulation modelling. And with revenues subject to the same global macro pressures as its peers, HCL’s ability to keep absorbing headcount while growing revenue is conditional on the macro environment not deteriorating sharply.
The company has also quietly reduced its midlevel management layers in the last two years - a restructuring that did not require public announcement but that represents a strategic compression of the organisational pyramid that other Indian IT firms are now also pursuing.
5. Tech Mahindra - The Turnaround Under Pressure
Total Headcount (Q4 FY25): 148,731
Headcount Change in Last Six Months: Decline of approximately 1,459 employees from Q1 to Q2 FY26. Total two-year headcount decline of approximately 4,000-5,000 employees. Nearly 1,000 candidates with offer letters still waiting for joining dates.
Attrition Rate (Q2 FY26): 12.8%
Tech Mahindra is the smallest of the big five Indian IT companies but arguably the one navigating the most complex transformation, because its challenges are layered: a broader industry slowdown in IT services, a sector-specific crisis in telecommunications technology (Tech Mahindra’s traditional stronghold), and the AI disruption affecting every delivery function. CEO Mohit Joshi, who joined from Infosys in April 2023, has framed his mandate as a five-year “Shaping Tomorrow” transformation programme that is explicitly attempting to reposition the company away from its historic dependence on telecom clients and toward BFSI, healthcare, and manufacturing verticals.
The Telecom Exposure Problem
Tech Mahindra built its reputation and a substantial portion of its revenue base on technology services for telecom companies. At various points in its history, telecom-related revenue has accounted for over 40% of the company’s total. This was a brilliant position to hold during the 5G infrastructure buildout years of 2019 to 2022, when telecom operators globally were spending heavily on network modernisation, BSS/OSS transformation, and digital customer experience platforms.
The problem is that global telecom spending crashed after 2022. When the initial 5G buildout wave was complete, operators began demanding cost reduction rather than capability expansion. They consolidated vendor relationships, reduced discretionary technology spending, and increasingly used automation tools to manage networks and customer interactions that previously required substantial Tech Mahindra headcount. Tech Mahindra’s telecom revenue declined meaningfully, and the company found itself with large delivery teams trained for a client segment that had structurally reduced its demand.
What the “Marginal Reduction” Actually Means
In the Q2 FY26 press conference, Mohit Joshi described the headcount decline as a “marginal reduction” that was “not a meaningful reduction.” The framing is understandable from a communications standpoint, but the lived experience of the employees and candidates affected tells a different story. Nearly 1,000 candidates who received offer letters from Tech Mahindra are still waiting for joining dates. Within the company, teams in telecom delivery that were once large and billable have been restructured, with some employees redeployed to new verticals and others exiting through attrition or performance management.
The more candid assessment from industry analysts is that Tech Mahindra’s headcount in the 148,000 range is likely to continue declining through the current fiscal year as the telecom segment stabilises at a lower demand baseline. The company’s hiring plan for freshers in FY26 has not been publicly committed, with management saying it is “watching demand” before committing - a stance that effectively means fresher hiring will be minimal until visibility improves.
The Shaping Tomorrow Transformation Plan
Mohit Joshi’s transformation plan has three explicit pillars: vertical diversification (reducing telecom dependence), capability upgrade (building AI, cloud, and data practices), and financial discipline (improving margins from their historically low levels relative to peers). Progress on all three pillars is visible but slow.
Vertical diversification is happening but is a multi-year journey. Tech Mahindra has signed some meaningful deals in the BFSI and manufacturing sectors, but these are not yet large enough to fully compensate for the telecom revenue softness. Capability upgrade is underway through partnerships with hyperscalers and AI platform vendors, but the company is investing from a position of relative weakness rather than the AI-native strength that Infosys or Wipro can claim. Financial discipline is improving, but starting from margins that were already below peers.
For Tech Mahindra employees, the most important signal over the next six months will be whether the company announces specific headcount targets or simply allows natural attrition to do the work of rightsizing. Either way, the directional trend is clear: the company will be smaller at the end of this calendar year than it was at the beginning.
PART TWO: THE UNITED STATES
The United States is the undisputed epicentre of the current global layoff wave. US-based tech companies account for the majority of announced cuts, and the five companies covered in this section alone account for more than 50,000 combined layoffs across the last six months. What distinguishes the US cuts from those in India or Europe is the bluntness of communication. American executives have been unusually direct about naming AI as the driver, and the cultural-legal environment makes rapid large-scale cuts easier to execute than in any other major tech market.
1. Amazon - The Most Consequential Cutter
Total Global Headcount (Early 2026): Approximately 1.5 million employees (including warehouse and logistics)
Corporate and Tech Headcount: Estimated 350,000-400,000
Layoffs in Last Six Months: Approximately 14,000 announced in October 2025, followed by 16,000 announced in early 2026. Combined: approximately 30,000 in six months.
Revenue Context: $716.9 billion in 2025, a company record.
No company better illustrates the central paradox of the 2026 layoff wave than Amazon. The company posted record revenues of $716.9 billion in 2025. Its AWS cloud division has accelerated its growth trajectory as enterprise AI adoption drives cloud spending. Amazon Ads has become one of the fastest-growing advertising businesses in history. Amazon Prime membership continues to expand. By every conventional measure of corporate health, Amazon is performing exceptionally well.
And it has just announced approximately 30,000 layoffs in six months.
The Anti-Bureaucracy Framing
Amazon CEO Andy Jassy has described the 2026 cuts as an “anti-bureaucracy push” designed to flatten the management hierarchy and speed up decision-making. The internal documentation that has leaked through media reports describes a company that believes it accumulated too many layers of management during its rapid pandemic-era expansion, and that these layers slow down execution without adding proportionate value.
The anti-bureaucracy framing is not entirely wrong, but it is substantially incomplete. Amazon’s internal analysis of where AI tools can replace human judgment in project management, procurement, logistics planning, and customer support has also produced a long list of roles that are structurally redundant rather than simply hierarchically redundant. The combination of hierarchy flattening and AI-enabled automation is producing a compound reduction that neither justification alone would explain.
Which Parts of Amazon Are Cutting
The cuts have not been evenly distributed across Amazon’s vast business portfolio. The divisions with the highest concentration of cuts include:
Amazon Web Services operational roles: AWS has been aggressively automating its own internal operations, using AI tools to manage infrastructure at a scale that reduces the need for human intervention in cloud operations, incident response, and capacity planning.
Amazon’s advertising technology division: The Ads organisation has consolidated teams following the AI-driven improvement in programmatic advertising efficiency. Roles in campaign management, yield optimisation, and ad product specialisation have been reduced as AI handles more of the targeting and bidding logic.
Corporate support functions: Legal, HR, finance, and communications teams across Amazon’s global offices have experienced significant cuts, with AI tools taking on document review, reporting, internal communications drafting, and HR process management.
Alexa and devices: Amazon’s voice assistant and consumer devices division has been restructured multiple times in the last two years. The original vision for Alexa as a commerce and services platform has not fully materialised, and the division has been narrowed in scope, with corresponding headcount reductions.
Locations Most Affected
Seattle and the greater Puget Sound region, where Amazon’s headquarters is based, has been most heavily impacted. RationalFX’s analysis identifies Seattle as one of the top three most affected US cities in the 2026 layoff wave. This concentration creates a local economic impact that extends well beyond the individual affected employees: Seattle’s commercial real estate market, local restaurants, retail, and service businesses that depend on tech worker spending are all feeling the effect.
Amazon has also reduced headcount at its offices in Bellevue, Washington; Arlington, Virginia (its HQ2 location); Austin, Texas; and New York City. International offices in London, Dublin, Berlin, and Mumbai have seen smaller absolute reductions but meaningful proportional cuts in corporate and tech roles.
The Long Shadow: What Amazon’s Cuts Signal
Because Amazon is simultaneously one of the world’s largest employers, the largest cloud provider, and one of the most influential forces in enterprise technology adoption, its workforce decisions have signalling effects that extend well beyond its own employee base. When Amazon invests $100 billion in AI infrastructure while cutting 30,000 corporate employees, it sends a message to every enterprise CIO and CFO watching: AI can and should be used to reduce the cost of human labour, and the financial returns will follow. This normalisation effect is arguably the most significant consequence of Amazon’s cuts, more impactful even than the job losses themselves.
2. Microsoft - Cutting While Leading the AI Revolution
Total Global Headcount: Approximately 228,000 (before recent cuts)
Layoffs in Last Six Months: Approximately 9,000 announced in July 2025, following approximately 6,000 in May 2025. Total reduction approximately 15,000 across the period.
Notable Context: Microsoft’s investment in OpenAI exceeds $13 billion. The company is simultaneously the world’s leading AI investment platform and one of its most aggressive headcount cutters.
Microsoft occupies the most paradoxical position in the current layoff landscape. It is the company that has made the largest single bet on AI through its deep partnership with OpenAI. It has integrated AI tools more deeply into its enterprise product suite - through Copilot across Microsoft 365, Azure AI services, GitHub Copilot, and Dynamics 365 - than any other technology company. And in doing so, it has created one of the clearest demonstrations of AI’s capacity to displace workers even within the company that built the tools.
The May and July 2025 Cuts
Microsoft’s two major layoff announcements in 2025 - approximately 6,000 in May and 9,000 in July, for a combined total of roughly 15,000 - were notable for their specificity about the AI rationale. CEO Satya Nadella acknowledged in an interview that the July cuts were directly connected to Microsoft’s AI-driven efficiency improvements. “We want to be a more agile company,” Nadella said, but internal reporting from Microsoft employees made clear that the cuts concentrated on roles where Copilot and other AI tools had demonstrably reduced the human hours required.
The roles most affected at Microsoft included:
Project and programme management: Microsoft Copilot’s ability to generate project status updates, summarise meeting outcomes, draft executive briefings, and produce risk assessments has reduced the need for dedicated programme managers in many teams. Several programme management layers were eliminated in the July restructuring.
Customer success and support: Microsoft’s enterprise customer success organisation was restructured around the finding that Copilot-assisted technical support agents can handle a significantly higher caseload than their pre-AI counterparts, reducing the headcount required to service the same customer base.
Sales operations: The analytical and reporting functions within Microsoft’s global sales organisation have been substantially automated, reducing the headcount in sales operations, business intelligence, and performance analytics roles.
Gaming and Xbox: Microsoft’s acquisition of Activision Blizzard brought an enormous headcount that the company subsequently found difficult to integrate efficiently. The Xbox and gaming division has seen multiple rounds of restructuring, with some studio consolidations and role eliminations that appear connected to the broader restructuring rather than purely to gaming business performance.
The GitHub Copilot Effect Within Microsoft
One of the more carefully observed dynamics at Microsoft is the impact of GitHub Copilot on the company’s own engineering workforce. GitHub Copilot, the AI pair programmer that Microsoft offers commercially, has been deployed internally across Microsoft’s engineering teams. Productivity metrics from these internal deployments show substantial improvements in code generation speed and test coverage. The question that analysts have been asking - and that Microsoft has not directly answered - is whether this productivity improvement has allowed the company to accomplish the same software development volume with fewer engineers, or whether it has simply made existing engineers more productive without reducing headcount requirements.
Based on the pattern of Microsoft’s engineering cuts in the May and July rounds, which notably included cuts in its Xbox game development studios, its Teams engineering organisation, and its Bing and search engineering teams, the answer appears to be a combination of both. In some areas, AI-enhanced productivity has allowed headcount reduction. In others, it has not.
The Compensation Signal
Microsoft’s cutting of headcount while maintaining executive compensation at record levels has been a source of significant internal and public frustration. CEO Satya Nadella’s total compensation for the most recent fiscal year exceeded $80 million, and multiple levels of senior leadership received increases tied to the company’s strong stock performance during the same period when 15,000 employees were let go. This dynamic is not unique to Microsoft among the companies in this analysis, but it is perhaps most visible there because of Microsoft’s prominent public positioning around responsible AI development and its frequent statements about technology benefiting all of humanity.
3. Alphabet/Google - The Quiet Cutter
Total Global Headcount: Approximately 181,000 (before recent cuts)
Layoffs in Last Six Months: Hundreds of roles in Android, Pixel, Chrome, and hardware teams in 2025. Additional restructuring in early 2026 affecting Google Cloud, YouTube, and Waymo-adjacent teams. Total in six months: approximately 2,000-3,000 disclosed roles, with further cuts in progress.
Context: Google’s parent company Alphabet reported $2,000+ per second in revenue in Q4 2025, yet continues to restructure.
Alphabet is the most cautious communicator of the five US companies in this analysis. Where Amazon and Microsoft have produced large, headline-generating layoff announcements, Google has executed its workforce reductions in a series of smaller, less publicised waves that aggregate to a substantial restructuring when viewed in totality. The company learned from the public relations difficulties of its January 2023 announcement of 12,000 layoffs - the speed and scale of that announcement shocked employees and generated significant negative coverage - and has since moved to a more incremental approach.
The Android, Pixel, and Chrome Cuts
In mid-2025, Google cut hundreds of positions across its Android, Pixel hardware, and Chrome browser teams. The Android reduction was particularly notable because it affected engineers and product managers who had spent years building the platform that runs on the majority of the world’s smartphones. The official explanation cited “better integration” between hardware and software teams, but industry observers noted that Google has been using AI tools more aggressively in its OS development process, allowing smaller teams to maintain and iterate on Android’s codebase.
The Chrome and browser engineering reductions reflected Google’s assessment that the browser, which had not seen fundamental feature innovation in several years, could be maintained by a smaller team using AI-assisted development. This is a rational but sobering conclusion for a browser that is installed on billions of devices worldwide: the engineering team maintaining one of the most used pieces of software in human history is shrinking because AI makes maintenance more efficient.
Google Cloud and the Competitive Pressure
Google Cloud, while growing, remains the third-place contender behind AWS and Microsoft Azure in the enterprise cloud market. This positioning creates competitive pressure on the organisation to demonstrate efficiency, and the restructuring of Google Cloud’s go-to-market, professional services, and operations teams has been ongoing. Several senior leaders in Google Cloud’s sales and professional services organisations departed in 2025, some by choice and some through the restructuring process, and the teams below them were consolidated.
The irony that is not lost on anyone watching Google’s workforce decisions is that the company building the AI tools that enable others to cut headcount is using those same tools to cut its own headcount.
Waymo and the Long-Bet Pressure
Alphabet’s investment in Waymo, its autonomous vehicle subsidiary, has been a years-long commitment to a technology that has not yet reached commercial scale commensurate with its investment. As Alphabet’s CFO has come under increased pressure from investors to demonstrate returns on long-horizon bets, Waymo-adjacent research and development teams have been scrutinised for efficiency. While Waymo itself has not been explicitly cut, the teams within Alphabet’s Other Bets category have been subject to the same efficiency lens as the core Google business.
4. Meta Platforms - From Metaverse to AI Reality
Total Global Headcount: Approximately 78,000
Layoffs in Last Six Months: Approximately 3,600 in February 2025 (performance-based), approximately 1,500 from Reality Labs in January 2026. Additional cuts from the AI division in late 2025. Total: approximately 5,100-6,000.
AI Capital Expenditure Commitment for 2026: Up to $135 billion, roughly double the 2025 outlay.
Reality Labs Cumulative Losses Since 2021: Over $70 billion.
Meta’s workforce decisions over the last six months represent the most visible pivot of any major US tech company from one strategic direction to another. The company that spent years convincing the world that the metaverse was the future of human connection has now officially acknowledged, through its capital allocation and headcount decisions, that AI is the actual future it is betting on - and it has backed that acknowledgment with $135 billion in planned AI capital expenditure for the current year alone.
The Reality Labs Reckoning
The elimination of approximately 1,500 positions from Reality Labs in January 2026 - representing about 10% of that division’s 15,000 employees - was both a financial decision and a strategic signal. Reality Labs has accumulated losses exceeding $70 billion since its establishment as a separate reporting segment. While CEO Mark Zuckerberg spent years defending these losses as the necessary cost of building the next computing platform, the competitive landscape has shifted dramatically. OpenAI, Google, and Anthropic have demonstrated that AI-native interfaces - text, voice, and vision - can create genuinely new computing experiences without requiring headsets that cost hundreds of dollars and cause motion sickness after extended use.
The remaining focus within Reality Labs has pivoted toward smart glasses and wearable computing, a category where Meta’s Ray-Ban partnership has shown genuine consumer traction. The heads-down virtual reality metaverse experience has been deprioritised, and the teams that built it have been partially dispersed or reduced.
The February Performance Culls
Meta’s February 2025 round of approximately 3,600 layoffs was explicitly described as performance-based: the bottom 5% of employees based on internal performance ratings. This framing is interesting because it suggests a mechanism by which AI tools that make some employees dramatically more productive simultaneously make others look relatively less productive when the benchmark shifts. An engineer who produces output at a level that was considered strong before AI coding tools became standard may now be rated in the bottom performance tier because colleagues using Copilot or similar tools are producing three times as much output. The performance cull mechanism may thus systematically select for people who are slow to adopt AI tools, which creates a self-reinforcing adoption pressure on the remaining workforce.
Zuckerberg’s AI War
One of the most revealing recent communications from Zuckerberg was a report that he expressed direct frustration in internal meetings about Meta falling behind OpenAI in the AI race. This frustration has translated into a dramatic reallocation of resources. The $135 billion AI capex commitment for the current year is being funded not only by ongoing revenue but by the efficiency gains from headcount reduction. Meta’s operating margins have improved substantially as the company has cut layers of management and eliminated teams whose functions have been absorbed by AI systems. Those margin gains are being reinvested entirely into AI infrastructure.
For Meta employees, the practical message is that job security correlates directly with AI involvement. The teams building Llama, Meta’s open-source AI models, are growing. The teams working on AI advertising optimisation, AI content recommendation, and AI-powered Instagram and WhatsApp features are growing. The teams doing anything that AI can now do as well or better than human workers are shrinking.
5. IBM - The Veteran Restructurer
Total Global Headcount: Approximately 280,000 (before recent cuts)
Layoffs in Last Six Months: Approximately 9,000 announced across 2025, concentrated in HR and back-office functions. Additional early-2026 cuts of a “low single-digit percentage” of global workforce announced.
Notable Context: IBM’s CEO Arvind Krishna has been one of the most candid executives about the AI-job relationship. He predicted in 2023 that AI would replace 30% of IBM’s back-office jobs within five years.
IBM is the oldest company in this analysis and the one with the longest history of navigating major technology transitions through workforce restructuring. The company has reinvented itself multiple times - from hardware to mainframes to professional services to hybrid cloud - and each reinvention has involved significant headcount changes. The current restructuring, while substantial, is consistent with IBM’s historical pattern of aggressive transformation.
What is notable about IBM’s current approach is the transparency of its leadership about the mechanism driving cuts. CEO Arvind Krishna stated in 2023 that approximately 7,800 positions, primarily in back-office and support functions, would be replaced by AI over a five-year horizon. The 2025 round of approximately 9,000 cuts, concentrated in HR, finance, and administrative operations, is a direct execution of that stated plan. IBM is not cutting these roles because business is bad. It is cutting them because AI tools are now performing the tasks those roles were hired to do.
The HR AI Replacement
IBM’s most discussed internal AI deployment is in its HR function. The company has applied watsonx, its enterprise AI platform, to HR tasks including benefits administration, leave management, policy queries, onboarding documentation, and employee data management. The result, according to IBM’s internal reporting, has been an 80% reduction in the volume of HR support tickets that require human resolution. The remaining 20% that require human judgment has been handled by a dramatically smaller HR team.
This is not IBM exaggerating its AI capabilities for marketing purposes. The reduction in HR headcount that followed the watsonx HR deployment tracks closely with the efficiency gains claimed. And the same pattern is now being applied to IBM’s finance, legal, and communications functions.
Simultaneous Hiring in New Areas
IBM’s approach differs from some peers in that it has been explicit about hiring simultaneously in the areas where AI is creating new demand. For every back-office role that AI replaces, IBM is attempting to hire engineers, data scientists, and AI integration consultants who can build and deploy the AI systems replacing those roles. IBM’s technical consulting practice, which advises clients on AI transformation programmes, has been growing. Its AI software division, which sells the watsonx platform, has been growing. The net effect on overall headcount may be neutral or slightly negative in the near term, but the composition of the workforce is shifting rapidly.
For employees at IBM, particularly those in administrative, support, and process-oriented roles, the message has been clear for several years and is now being executed: AI will replace your function, the company will attempt to retrain you for an AI-adjacent role if you can make the transition, and if you cannot, a severance package will follow.
PART THREE: THE EUROPEAN UNION
The European Union presents a distinctive picture in the global layoff landscape. EU labour law, particularly the requirement for consultation periods with works councils and the statutory protections against immediate termination, means that the European tech layoff numbers tend to be smaller and slower-moving than equivalent US numbers even when the underlying strategic pressure is the same. However, the structural forces are identical, and the directional trend in the EU is unmistakably toward contraction.
The five EU companies in this analysis span three countries and three distinct technology sectors, reflecting the diversity of Europe’s technology industry relative to the US, which is dominated by consumer internet and cloud companies.
1. SAP - Germany’s Tech Giant Restructures Quietly
Headquarters: Walldorf, Germany
Total Global Headcount: Approximately 105,000
Layoffs in Last Six Months: Approximately 8,000-10,000 cuts announced as part of a multi-year transformation programme. Additional voluntary departures of several thousand.
Context: SAP announced a major restructuring in January 2024 targeting 8,000 roles, with execution continuing through 2025 and into 2026.
SAP is Europe’s largest enterprise software company and one of the most important infrastructure layers in global business computing. Its ERP systems run the core operations of tens of thousands of companies across manufacturing, logistics, finance, and government. The company employs approximately 105,000 people worldwide and has been executing one of the most significant corporate restructurings in German technology history over the last 18 months.
SAP announced in January 2024 that it would cut approximately 8,000 roles globally as part of a transition toward what it called “AI-driven business transformation.” The announcement positioned SAP not as a company in distress but as one accelerating toward its next phase of growth, using the restructuring to free up resources for AI integration across its product portfolio. SAP’s RISE with SAP cloud migration programme, which moves clients from on-premise SAP systems to cloud-hosted equivalents, and its Business AI initiative, which embeds AI across its ERP modules, are the two pillars around which the new headcount model is being built.
The RISE with SAP Headcount Equation
The shift from on-premise ERP to cloud-hosted SAP has a significant headcount implication that is not always visible in restructuring announcements. When clients run SAP on-premise, they require significant support from SAP professional services and from SAP-skilled system integrators to maintain, upgrade, and extend their systems. The cloud model shifts much of this maintenance burden to SAP itself, but with dramatically fewer human touchpoints because the cloud platform is automated. The paradox for SAP’s workforce is that client adoption of the cloud model is a revenue positive for SAP but a headcount negative, because fewer SAP employees are needed to support each client relationship.
German Labour Law Constraints
SAP’s restructuring in Germany - where the company has its largest concentration of employees - has been substantially shaped by German labour law. Works council consultation requirements, co-determination rights, and statutory notice periods mean that SAP cannot execute cuts at the pace that Amazon or Microsoft can in the United States. Instead, SAP has relied heavily on voluntary departure incentives, early retirement packages, and gradual redeployment to AI-adjacent roles. The result is that the actual reduction in German headcount has been slower than the headline 8,000 figure suggests, with much of the German component of cuts executed through exits that took 12 to 18 months from announcement to completion.
SAP’s AI Bet
SAP has embedded what it calls “Business AI” across its product portfolio. This includes AI-powered invoice processing, AI-assisted demand forecasting, AI-generated financial closing narratives, and AI-driven anomaly detection in supply chain management. These capabilities are being marketed aggressively to SAP’s installed base of clients. For SAP employees, this means that the roles most valuable in the new model are those that can design, validate, and support AI-integrated business processes rather than those built around traditional functional configuration or technical implementation.
2. Capgemini - The French Services Giant Contracts
Headquarters: Paris, France
Total Global Headcount: Approximately 340,000
Layoffs in Last Six Months: Approximately 7,000-10,000 reduction in headcount through attrition management and selective reductions, particularly in India and Europe.
Revenue Context: Capgemini reported slowing revenue growth in 2025, with some quarters showing year-on-year contraction in certain service lines.
Capgemini is one of the world’s largest IT services firms and the largest in Europe by headcount. With approximately 340,000 employees globally, the French firm rivals Indian IT companies in scale and competes directly with TCS, Infosys, and Wipro for large enterprise transformation contracts. The company has a significant India delivery presence of approximately 100,000+ employees, making it simultaneously a European and Indian IT employment story.
The Revenue Growth Problem
Unlike the US hyperscalers that are cutting while posting record revenues, Capgemini is cutting partially in response to genuine revenue pressure. The company reported slowing demand across several of its major European client verticals in 2025, with manufacturing and automotive sector clients particularly cautious about discretionary IT spending. The automotive sector’s transition challenges - which include the slower-than-expected EV transition and resulting financial pressure on traditional OEMs - have reduced IT spending at some of Capgemini’s largest European clients.
In its financial services practice, Capgemini has faced pricing pressure as clients have become more sophisticated about demanding AI-powered delivery efficiency from their service partners. Clients who once accepted large team-based delivery models are now specifying AI tool usage as a contract requirement and pricing engagements accordingly, which directly reduces the billable hours and headcount that Capgemini can deploy.
The India Dimension
Capgemini’s India delivery centres, primarily in Bengaluru, Hyderabad, Mumbai, and Pune, have absorbed a significant portion of the global headcount contraction. The company reduced its India headcount meaningfully through 2025, using a combination of managed attrition and performance-based exits. Unlike the public announcement approach of TCS or the quarterly earnings transparency of Indian-listed companies, Capgemini’s India headcount changes are reported less granularly, but industry body data and city-level employment trends confirm the direction.
Generative AI Integration
Capgemini has branded its AI services under the “Gen AI” practice and has been aggressive in marketing AI transformation services to clients. The irony, as with all major IT services firms, is that successful AI transformation for clients means fewer people-hours required to deliver services to those clients. Capgemini is navigating this by attempting to grow its client base faster than it loses revenue-per-employee from AI efficiency gains, but in a slowing demand environment, this strategy is under pressure.
3. Ericsson - The Telecom Infrastructure Crisis
Headquarters: Stockholm, Sweden
Total Global Headcount: Approximately 95,000 (after recent cuts)
Layoffs in Last Six Months: 1,600 announced in Sweden (representing approximately 12% of Sweden-based headcount), plus ongoing global reductions continuing from a multi-year restructuring. Total in six months globally: approximately 3,000-4,000.
Cumulative Cuts Since 2023: Over 15,600 full-time positions, approximately 15% of the global workforce.
Ericsson’s position in this analysis is different from the other companies. It is not primarily cutting because of AI-driven efficiency improvements to its own delivery model. It is cutting because its entire market - the global telecom equipment market - is in a prolonged downturn that has severely impacted its revenue base.
The 5G Spending Cycle Problem
Global telecom operators spent aggressively on 5G network infrastructure between 2019 and 2022, and Ericsson, as one of the two dominant Western 5G equipment vendors alongside Nokia, benefited enormously from this spending. When the initial rollout wave completed, operators shifted from investment to optimisation. They extended existing equipment lifespans, delayed new radio access network builds, and focused on extracting returns from their infrastructure investments rather than expanding them. Ericsson’s revenue fell sharply as the order book contracted.
The company’s North American business, previously a high-margin stronghold, was additionally impacted by the collapse of major customer DISH Network, which had been an ambitious 5G network build programme before encountering serious financial difficulties.
US Tariff Impacts
President Trump’s tariff policies, which introduced uncertainty into global trade relationships, have had a specific impact on Ericsson’s supply chain and customer economics. Several US telecom operators have cited tariff uncertainty as a reason for delaying network infrastructure decisions, creating additional near-term revenue uncertainty for Ericsson even as the company works to reposition for a long-term demand recovery.
The Swedish government, which views Ericsson as a national industrial champion, has been closely monitoring the job cuts and engaging with the company about its restructuring plans. But Ericsson’s financial situation does not leave room for preserving headcount for strategic reasons - the cuts are a financial necessity.
4. ASML - The Semiconductor Equipment Paradox
Headquarters: Veldhoven, Netherlands
Total Global Headcount: Approximately 44,000
Layoffs in Last Six Months: Approximately 1,700 roles reduced as part of a workforce optimisation programme announced alongside 2025 earnings.
Context: ASML is the world’s only manufacturer of extreme ultraviolet (EUV) lithography machines, which are essential for producing the most advanced chips. Despite near-monopoly status, the company is cutting.
ASML is perhaps the most surprising company to appear in a global layoff analysis. It holds a true global monopoly in EUV lithography - no other company in the world can make the machines that semiconductor fabs need to produce the most advanced chips. Its order book includes decades of backlog from clients including TSMC, Samsung, Intel, and imec. Its revenue and profits are consistently strong.
The approximately 1,700 role reduction is therefore not a response to business weakness. It is an operational efficiency exercise in the context of slowing near-term order execution pace and uncertainty around the timing of China-related export restrictions. ASML has faced US government pressure to restrict sales of its most advanced equipment to Chinese chipmakers, and the policy uncertainty around these restrictions has created planning uncertainty that has modestly affected near-term headcount optimisation decisions.
ASML is also executing what it describes as an “operational excellence” programme that identifies roles that can be made more efficient through process improvement and selective automation. For a company of ASML’s precision engineering culture, this means careful trimming rather than aggressive cutting, but the directional movement is the same as everywhere else in the industry.
5. Nokia - The Multi-Year Restructuring Continues
Headquarters: Espoo, Finland
Total Global Headcount: Approximately 78,000 (ongoing reduction from prior year totals)
Layoffs in Last Six Months: Continuing execution of a plan announced in October 2023 to cut between 9,000 and 14,000 jobs by the end of 2026. Cuts since the start of the covered period: approximately 3,000-4,000.
Cumulative Cuts Against Announced Target: The company has eliminated approximately 10,000+ roles as it approaches the end of its announced restructuring programme.
Nokia, like Ericsson, is a Finnish-Swedish Nordic telecom equipment company navigating the aftermath of the global 5G infrastructure spending peak. Unlike Ericsson, Nokia announced its restructuring plan earlier and more comprehensively, giving the market (and employees) more advance notice. In October 2023, Nokia said it would cut between 9,000 and 14,000 jobs globally to achieve between 850 million euros and 1.2 billion euros in annual cost savings by the end of its restructuring period.
The Mobile Networks Rejig
Nokia’s primary restructuring focus has been its Mobile Networks division, which sells radio access network equipment to telecom operators. The global slowdown in 5G spending hit this division most severely, and Nokia has been restructuring it to align with the reality of a market that needs maintenance and software updates rather than large-scale new builds.
The company has also been restructuring around its network infrastructure and cloud networking divisions, attempting to build a more software-focused business that can generate recurring revenue from existing installed bases rather than depending on episodic hardware sale cycles.
Geographic Spread
Nokia’s cuts have been globally distributed across Finland, Germany, India, China, and the United States. In China specifically, Nokia eliminated approximately 2,000 positions in 2024, reflecting both the broader market softness and the geopolitical reality that European telecom equipment vendors have been gradually squeezed out of Chinese carrier relationships in favour of Huawei and ZTE.
The Finnish government and labour unions have been engaged throughout Nokia’s restructuring, and Finland’s co-determination legislation has moderated the pace of cuts in the company’s home market relative to international locations.
PART FOUR: THE UNITED KINGDOM
The United Kingdom’s technology sector sits in a distinctive position relative to the US and EU markets. It has significant exposure to US-headquartered tech giants through their large UK operations, it has a smaller but influential domestic tech sector, and it is subject to its own employment law framework that is somewhat more flexible than the EU but more protective than the US. The UK technology job market has seen approximately 1,000 disclosed layoffs in official reporting for early 2026, but this figure understates the impact because much of the workforce reduction at UK operations of US companies is captured in global rather than country-specific announcements.
1. BT Group - The Slow-Motion Transformation
Headquarters: London, United Kingdom
Total Headcount (Early 2025): Approximately 85,300 (including contractors)
Headcount Change in Last Six Months: Approximately 3,000-4,000 further reduction continuing a multi-year trajectory toward a target of 75,000-90,000 employees by 2030.
Cumulative Cuts Since 2022: Over 16,000 internal employees, approximately 17% of headcount.
BT Group, the UK’s dominant telecom infrastructure company and one of its largest IT employers, is executing one of the most dramatic workforce transformations in British corporate history. In 2023, BT announced that it would reduce its total workforce - including contractors - from approximately 130,000 to between 75,000 and 90,000 by the end of the decade. That is a reduction of 40,000 to 55,000 roles, or up to 42% of the total workforce at the time of the announcement.
The justification has two main components. The first is the completion of BT’s nationwide fibre broadband rollout, which required large construction and field engineering teams during the build phase that are no longer needed at the same scale during the maintenance phase. The second, which BT’s management has been unusually candid about, is AI. Former CEO Philip Jansen stated explicitly that approximately one-fifth of the eliminated roles would be replaced by AI, particularly in customer service, network management, and administrative functions.
The OpenReach Dynamic
BT’s Openreach division, which owns and operates the UK’s national broadband infrastructure, has been one of the areas of most significant headcount change. Openreach employed tens of thousands of engineers during the fibre rollout and is now managing a much more stable, lower-intensity maintenance workload. AI-assisted network monitoring, fault prediction, and field engineer dispatching tools have reduced the number of human interventions required per network incident.
BT’s AI Customer Service Deployment
BT’s customer service operations have been one of the most visible cases of AI automation in UK employment. The company deployed AI-powered customer service tools that can handle a high volume of the most common customer inquiries - billing disputes, technical troubleshooting, account changes - without human intervention. The result was a significant reduction in the customer service headcount required to maintain service levels, with cuts concentrated in call centre operations in the UK’s regional cities.
For BT Employees
The outlook for BT employees over the next 18 months is that the company will continue toward its stated headcount target, which requires meaningful further reduction from current levels. Employees in field engineering, network operations, and retail functions face the greatest uncertainty. Those in BT’s Enterprise and Global divisions, which serve large corporate and government clients, are in a somewhat more stable position as these relationships require human relationship management that is harder to automate.
2. Vodafone - The European Restructuring Expands to the UK
Headquarters: London, United Kingdom (global headquarters)
Total Global Headcount: Approximately 95,000 (after ongoing reduction)
Layoffs in Last Six Months: UK-specific cuts are part of a global programme targeting 11,000 roles over three years. Approximately 2,000-3,000 UK-based roles eliminated in the covered period.
CEO Message on Cuts: CEO Margherita Della Valle described the company’s results as “not good enough” when announcing the restructuring.
Vodafone, one of the world’s largest telecommunications groups, has been executing a major global restructuring programme under CEO Margherita Della Valle since 2023. The company committed to eliminating 11,000 roles across its international operations over three years, a target that is now approximately two-thirds of the way through its execution.
The underlying financial context for Vodafone’s cuts is challenging. The company has struggled with weak performance in its key European markets, including Germany and Spain, where intense competition from low-cost carriers has eroded average revenue per user. Vodafone’s market position has weakened relative to peers in several markets, and the company has been selling assets - including its Spanish and Italian operations - to simplify its portfolio and focus resources.
The UK Impact
Vodafone’s UK operations, which span its consumer mobile business, its enterprise connectivity division, and its technology and innovation functions headquartered in Paddington, London, have seen meaningful headcount reductions. The enterprise technology teams, which build and maintain Vodafone’s digital business services platforms, have been restructured with AI tools taking on more of the software development, network management, and service assurance functions.
Vodafone’s UK retail estate has also contracted, with a combination of store closures and reduced headcount in remaining stores as online and self-service channels handle a growing proportion of customer transactions.
The Vodafone-Three Merger Implications
Vodafone completed its merger of UK operations with Three UK, creating the UK’s largest mobile network by customers. Merger-driven restructuring typically creates additional headcount reduction beyond the organic efficiency programme, as duplicate functions, overlapping retail locations, and combined IT systems are rationalised. The full impact of this merger-driven restructuring on UK headcount is expected to materialise through 2026 and 2027.
3. Capita - The Outsourcing Giant Under Pressure
Headquarters: London, United Kingdom
Total Headcount: Approximately 50,000 (after significant prior reductions)
Layoffs in Last Six Months: Ongoing restructuring that has taken the company from approximately 61,000 employees in 2022 to approximately 50,000 currently, with further reductions expected.
Financial Context: Capita has been in a multi-year financial restructuring following significant debt reduction requirements.
Capita is the UK’s largest business process outsourcing company and one of its largest private sector IT employers. It provides outsourced IT services, customer management, and back-office processing to UK public sector clients including the NHS, central government departments, and local authorities, as well as to private sector companies in financial services and utilities.
Capita’s situation is complicated by the convergence of three pressures: the same AI-driven efficiency forces affecting all IT services companies; a significant debt burden from its period of aggressive acquisition that requires ongoing cost reduction to service; and a changing public sector outsourcing environment in which some of its largest government contracts are being renegotiated, in-sourced, or restructured.
The Public Sector Context
The UK government’s approach to public sector outsourcing has evolved considerably in recent years, with greater emphasis on flexibility, shorter contract terms, and supplier diversity rather than the large, long-term exclusive contracts that characterised the outsourcing boom of the 1990s and 2000s. This environment is less favourable to Capita’s traditional business model, and some of its government contracts have been returned to government direct operation or split among multiple suppliers.
The AI dimension at Capita is particularly significant for its public sector business. Government clients are increasingly expecting AI-assisted service delivery at the same or lower cost, which puts pressure on Capita to deploy automation tools while simultaneously reducing the headcount it can bill. The result is a margin squeeze that is exacerbating the already challenging financial restructuring the company is navigating.
Employee Impact
Capita’s workforce is concentrated in contact centres, document processing facilities, and IT service desk operations across the UK, with significant clusters in cities including London, Darlington, Worthing, Belfast, and Edinburgh. These are communities where Capita is often one of the largest local private sector employers, meaning the restructuring has visible local economic impacts beyond the direct employment effects.
4. Sage Group - The Quiet Reinvention
Headquarters: Newcastle upon Tyne, United Kingdom
Total Global Headcount: Approximately 14,000
Layoffs in Last Six Months: Approximately 700-900 roles reduced as part of an ongoing strategic reset prioritising AI-integrated cloud products over traditional desktop software.
Context: Sage is the UK’s largest technology company by some measures, providing accounting and financial management software to SMEs globally.
Sage Group is the UK’s most important technology company that most people in the tech industry rarely discuss in the context of layoffs, perhaps because its product focus on SME accounting software feels less dramatic than hyperscalers or telecom giants. But Sage has been conducting a significant workforce transformation over the last two years that deserves inclusion in this analysis.
The company is transitioning from a traditional packaged software business - where Sage products were sold as perpetual licences and installed on local servers - to a cloud-native SaaS model where subscription revenue is the primary engine. This transition is both essential for Sage’s long-term competitiveness and disruptive to its existing workforce structure.
The SaaS Transition Workforce Impact
Moving from packaged software to SaaS changes which skills are most valuable inside the company. Traditional software implementation, localisation, and support for on-premise deployments becomes less relevant as cloud products handle more of the complexity automatically. Conversely, cloud platform engineering, data analytics, customer success management for SaaS relationships, and AI feature development become increasingly critical.
Sage has been reducing headcount in roles connected to its legacy product lines while attempting to grow in cloud-native roles. The net effect has been a modest reduction in total headcount, with the character of the workforce shifting considerably.
AI Integration Across Sage Products
Sage has invested heavily in embedding AI across its accounting and payroll products. Features including automated bank reconciliation, AI-assisted expense categorisation, predictive cash flow analysis, and intelligent reporting are now standard or premium components of Sage’s cloud products. From a competitive standpoint, this AI integration is necessary to keep pace with competitors including Xero and QuickBooks. From a workforce standpoint, the automation of functions that previously required human bookkeepers or accountants among Sage’s client base - and that Sage’s own customer success teams had to advise on - means fewer touchpoints per customer.
5. Computacenter - The Infrastructure Reseller Adapts
Headquarters: Hatfield, United Kingdom
Total Global Headcount: Approximately 20,000
Layoffs in Last Six Months: Approximately 500-800 roles reduced through selective reductions and managed attrition, with restructuring announced in response to changing enterprise infrastructure demand.
Context: Computacenter is the UK’s largest independent IT infrastructure company, distributing hardware, software, and managed services to large enterprises and public sector organisations.
Computacenter is less visible than BT or Vodafone in public layoff coverage, but its trajectory tells an important story about the mid-tier of the UK technology services ecosystem. The company built its business on helping large enterprises procure, deploy, and manage IT infrastructure - a business that has been fundamentally disrupted by the shift to cloud computing and now by AI-driven infrastructure management tools.
The Hardware Distribution Compression
When enterprises move their infrastructure to cloud providers, they no longer need to procure physical servers, storage, and networking equipment at the same scale. Computacenter’s hardware distribution business has been compressing accordingly, and the workforce built around managing large hardware deployments - from procurement to logistics to on-site installation - has been reduced proportionally.
The company has been attempting to pivot toward professional services and managed services, where human expertise in cloud architecture and security management creates more durable value than hardware distribution. This pivot is generating growth in some practice areas, but not enough to fully offset the hardware distribution decline.
The Public Sector Dependency
Computacenter has significant public sector revenue in the UK, serving central government departments, NHS trusts, local councils, and educational institutions. Public sector IT spending is subject to budget cycles and government policy in ways that private sector spending is not, and the UK’s fiscal pressures in recent years have translated into delays, deferrals, and scope reductions in public sector IT programmes that affect Computacenter’s revenue.
PART FIVE: CROSS-CUTTING ANALYSIS
Having examined all twenty companies in detail, this section identifies the themes and patterns that cut across geographies and sectors, providing context that is visible only when the full picture is assembled.
The Revenue-Headcount Decoupling Is Permanent
Perhaps the most significant finding across all twenty companies is the near-universal decoupling of revenue performance from headcount decisions. Amazon is cutting 16,000 employees in a year of record revenue. TCS is cutting thousands while maintaining stable revenue. Meta is cutting while committing $135 billion to AI capex. Microsoft is cutting while posting strong Azure growth numbers.
This is not a coincidence. It is the first visible proof that enterprise AI tools have crossed a threshold of capability at which they generate genuine and measurable productivity gains at scale. When a company can maintain the same revenue base with fewer employees, the incentive to reduce headcount is powerful and the financial result is improved margins. Every company in this analysis that has reduced headcount while maintaining revenue has reported improved operating margins, and investors have rewarded those improved margins with stock price appreciation.
The implication is that the connection between IT industry revenue growth and IT industry employment growth, which held reliably for four decades, is breaking down. Growing revenues will no longer automatically translate into more IT jobs.
The Generational Inflection in Skills
Across all twenty companies, the skills gap narrative is present and consistent. The roles being eliminated are concentrated in manual testing, legacy maintenance, routine code generation, document processing, first-line customer support, and middle management coordination. The roles being created or protected are in AI model development and validation, agentic system design and governance, AI-native product management, cloud platform engineering, and the increasingly rare discipline of human judgment at the intersection of complex business and technology decisions.
What this means for the current generation of IT workers is stark. Employees who built careers in the 2010s on skills in manual testing, Java maintenance, SAP functional configuration, or customer support team management are facing structural displacement. Employees who have invested in machine learning, data engineering, AI system design, or cloud architecture are in relatively high demand even in this cutting environment.
The transition is not as simple as “learn AI and you will be fine.” AI capabilities are advancing rapidly, and the skills that are in demand today may be partially automated within three to five years. The more durable skill is the ability to learn and adapt continuously, to work at the intersection of human judgment and machine capability, and to manage the complexity that emerges when AI systems interact with real business and social contexts.
The Geographic Redistribution That Is Not Happening
One of the narratives that proponents of AI-driven efficiency often offer is that displaced workers will be reabsorbed into new roles created by AI expansion. The data from the twenty companies in this analysis does not support this optimistic narrative, at least not at the pace and scale that the displacement is occurring.
Amazon is cutting 30,000 people while hiring AI infrastructure engineers - but it is not hiring 30,000 AI infrastructure engineers. The ratio of new roles created to old roles eliminated is deeply unfavourable to workers at this stage of the transition. IBM’s simultaneous cutting and hiring is the closest to a genuine workforce transformation story, but even IBM is not creating as many new roles as it is eliminating old ones.
In India specifically, the headcount-based model of IT services delivery, which sustained millions of middle-class careers and generated enormous remittances from diaspora workers, is being compressed faster than new economic opportunities are being created. The Bengaluru and Hyderabad real estate markets, which have been sustained by IT employment growth for two decades, are already beginning to reflect the slowdown in hiring.
The Communication Gap
One pattern that is visible across all twenty companies but particularly striking at the Indian IT firms is the gap between corporate communications and operational reality. Companies are simultaneously announcing “no mass layoffs” and posting meaningful quarterly headcount declines. They are committing to fresher hiring targets while thousands of candidates with offer letters wait months for joining dates. They are describing AI as a “productivity enabler” while the headcount numbers show AI’s actual role as a displacement engine.
This communication gap is not unique to IT. It is a feature of how large corporations navigate workforce changes in a world of social media visibility, activist employee communities, and investor scrutiny. But the gap is particularly wide in the current cycle because the strategic justification (AI efficiency) and the financial outcome (margin improvement through headcount reduction) are so clearly aligned, making the alternative framings (restructuring, skill mismatch, organisational agility) feel implausible to anyone examining the underlying data.
The Regulatory Response Is Coming
Across the EU and UK in particular, the regulatory response to AI-driven displacement is beginning to materialise. The EU AI Act, which took effect in stages through 2025 and 2026, includes provisions related to high-risk AI system deployment and transparency requirements. Several EU member states are exploring AI impact assessment requirements for significant workforce changes attributed to AI implementation. In the UK, the Trades Union Congress has been calling for new legislation requiring employers to disclose AI use in hiring, performance management, and workforce planning decisions.
These regulatory responses are at an early stage and are not yet materially affecting the pace of cuts in the companies covered in this analysis. But the regulatory trajectory suggests that the completely unregulated AI-driven headcount reduction that is happening today will face more friction in Europe over the next two to three years, which may further concentrate the most aggressive cuts in the United States.
The Mental Health and Social Cost
Numbers and organisational analysis can obscure what is ultimately a human story. The 59,000+ people laid off globally in the first quarter of this year are individuals with mortgages, families, educational loans, and career identities built over years or decades. The median time to re-employment for a laid-off tech worker has increased from 3.2 months in 2024 to 4.7 months in early 2026, and the skills mismatch between the eliminated roles and the available roles means that some of those affected are facing genuinely difficult retraining journeys rather than a simple employer switch.
In cities like Bengaluru and Hyderabad, where IT employment has created an entire middle-class ecosystem of schools, housing, and services built around tech salaries, the social impact of headcount reduction will ripple through the broader community in ways that are not captured in company-level headcount statistics.
In the United States, the intersection of tech layoffs with immigration policy is creating particularly acute situations for H-1B visa holders who have a limited grace period to find new employment before losing their right to remain in the country. The combination of a tighter job market and immigration policy pressure creates compounding stress for an already vulnerable population.
PART SIX: WHAT TO EXPECT FOR THE REST OF THE YEAR
Based on the analysis of all twenty companies and the macro forces driving the current cycle, this section provides an evidence-based forward view for the next two to three quarters.
Global Volume Will Likely Exceed 2025
Layoff trackers including TrueUp.io, Layoffs.fyi, and the RationalFX analysis all project that the 2026 total, if current daily rates are maintained, will reach 264,000 to 273,000 job losses by year end. This would modestly exceed 2025’s toll of approximately 245,000 and represent the second consecutive year of near-quarter-million job losses in the technology sector.
However, there is a meaningful probability that the pace slows in H2 if two conditions are met: a stabilisation or improvement in global economic conditions, particularly around the impact of US tariff policies on enterprise spending; and a saturation of the first wave of AI-driven efficiency gains, where the most obvious automation opportunities have already been captured. Neither condition is certain, and the baseline expectation among most analysts is for a broadly similar run rate through the year.
India Will See Continued Pressure Through FY27
For the Indian IT sector, the structural demand reduction from AI-efficient delivery is a multi-year phenomenon. The optimistic scenario is that new categories of demand - AI transformation advisory, agentic system implementation, data infrastructure build-out for AI applications - create enough new project volume to offset the efficiency-driven reduction in headcount per existing engagement. The pessimistic scenario is that the demand for new AI-enabled engagements concentrates in a small number of AI-specialist firms rather than distributing across the traditional IT services landscape, leaving the large Indian IT companies with a structurally reduced addressable market.
The consensus view among Indian IT analysts is somewhere between these scenarios. TCS, Infosys, and HCL are likely to stabilise in the 550,000-580,000, 300,000-320,000, and 210,000-230,000 ranges respectively within 18 months, with further reductions from current levels before the floor is found.
US Hyperscaler Cuts Are Likely Not Finished
Amazon’s 30,000 cuts in six months represent the most aggressive corporate restructuring by a single company in the technology sector in a decade. Whether Amazon is done cutting depends on whether its anti-bureaucracy programme has reached its target and whether additional AI efficiency gains create additional restructuring justification. The signals from leadership suggest there may be further cuts in Amazon’s retail, advertising, and Alexa divisions before a floor is found.
Meta is the company most likely to announce significant additional cuts, as Zuckerberg has publicly signalled frustration with the company’s AI positioning and is committed to a dramatic AI investment ramp that requires operational efficiency to fund. The scenario of Meta cutting up to 15% of its workforce - approximately 11,700 people from its current 78,000 - has been widely reported and is within the range of realistic outcomes for the remainder of the year.
Microsoft’s pattern of incremental cuts is likely to continue, with further reductions in project and programme management, sales operations, and support functions as Copilot deployment expands within the company.
The EU Will Move Slowly but Persistently
In the EU, the pace of cuts will continue to be moderated by regulatory and labour law constraints. Nokia is approaching the end of its announced restructuring window, with most of the planned 9,000 to 14,000 cuts already executed. Ericsson’s situation depends heavily on whether global telecom spending begins to recover in the second half of the year, which in turn depends on the 5G investment cycle in emerging markets. SAP will continue its measured transition toward cloud and AI-focused delivery, with ongoing gradual headcount reduction in legacy product support functions.
ASML is the company in this group most likely to reverse its modest cuts and resume hiring, as its monopoly position in EUV lithography means its headcount is fundamentally demand-constrained rather than AI-efficiency-constrained.
The Skills Reskilling Challenge Will Dominate the Next Two Years
For technology workers globally, the most important actionable conclusion from this analysis is about skills. The companies cutting most aggressively are cutting in specific areas. The companies hiring most aggressively are hiring for specific capabilities. The gap between the two is navigable for workers who approach their skills development with the same urgency that the companies around them are approaching their workforce restructuring.
Specifically, the skills with the strongest demand signal across all four geographic markets in this analysis are: AI system design and prompt engineering; data pipeline engineering and MLOps; cloud architecture across AWS, Azure, and GCP; AI governance, ethics, and validation; and the ability to work at the intersection of business domain expertise and AI tool capability - what is sometimes called “applied AI” rather than pure research or pure implementation.
For Indian IT professionals who want to prepare themselves for an AI-era career, the TCS NQT Preparation Guide and TCS ILP Preparation Guide on ReportMedic can help build the foundational technical skills that remain relevant even as the industry evolves. Preparing now, rather than waiting for the restructuring wave to pass, is the highest-yield career investment available to early-career IT professionals.
PART SEVEN: THE STRUCTURAL QUESTIONS THAT NOBODY IS ANSWERING
The current wave of IT layoffs raises questions that the companies announcing the cuts, the governments watching them unfold, and the analysts tracking them in spreadsheets are not yet prepared to answer. These questions matter enormously for the economic trajectory of every country whose middle class depends on technology sector employment.
Will the Jobs Come Back?
In every previous tech layoff wave, the answer was yes. Jobs came back, often in larger numbers and at higher compensation levels than before. The structural argument that the current wave is different rests on the permanence of AI-driven efficiency gains. When a role is eliminated because an AI system can perform the same function, that role does not return when economic conditions improve. The AI system is still there.
The counterargument is that AI will create new categories of work that we cannot yet see, just as the internet created jobs that were inconceivable in 1994. This may be true, but the pace of creation of new roles is clearly lagging behind the pace of elimination of existing roles, and the skills required for new AI-era roles are not the same as those of the eliminated roles.
What Is the Social Contract Between IT Companies and the Communities They Employ?
Companies like TCS and Infosys have spent decades positioning themselves as engines of Indian middle-class aspiration, as institutions that provide not just employment but a pathway to a better life for tens of thousands of engineering graduates every year. The current period of headcount reduction, however carefully worded in corporate communications, challenges that social contract. The IIT and NIT graduates who spent years preparing for placement at these firms, the regional engineering colleges whose placement rates depend on mass recruitment by the big five, the families who invested in technical education on the expectation of a predictable job outcome - all of these stakeholders are affected by decisions that are made in quarterly earnings calls and management committee meetings.
The equivalent social contract challenge exists in Sweden, where Ericsson and its predecessor companies have been part of the national economic identity for over a century. It exists in Germany, where SAP’s restructuring touches communities that have built themselves around tech employment. And it exists in the UK, where BT’s multi-decade commitment to being the national telecommunications infrastructure employer is being visibly scaled back.
None of the companies in this analysis have articulated a clear answer to the question of what they owe the communities they are restructuring. The assumption appears to be that the labour market will absorb the displaced workers through retraining and sector mobility. The evidence from the current cycle is that this assumption is optimistic on the timescale that matters to affected individuals.
Who Is Regulating This?
The governance gap around AI-driven workforce displacement is striking. Companies are using AI tools to eliminate tens of thousands of roles with minimal regulatory oversight, no mandatory impact assessment requirements in most jurisdictions, and no public reporting beyond the voluntary disclosures captured by trackers like Layoffs.fyi and TrueUp. The WARN Act in the United States requires 60 days notice for large layoffs, but it does not require any disclosure of the AI rationale or any impact assessment. The EU AI Act addresses transparency in AI-assisted decision-making for individuals but does not specifically address the workforce displacement consequences of enterprise AI deployment.
The combination of rapid capability improvement in AI tools, strong financial incentives for companies to deploy them, and weak regulatory frameworks to govern the displacement consequences creates conditions for an accelerating cycle that policy has not yet caught up with.
Frequently Asked Questions
Q1: Which company has announced the most IT layoffs globally in the last six months?
Amazon leads the current cycle by a considerable margin, with approximately 30,000 corporate and technology roles reduced across two major announcements. This represents the largest single-company contribution to the 2026 layoff total tracked by RationalFX and TrueUp.io, accounting for more than half of all disclosed tech sector cuts in the first quarter of this year.
Q2: How many IT jobs have been cut globally in 2026 so far?
As of the third week of March 2026, layoff tracker TrueUp.io records 171 separate layoff events affecting approximately 55,911 workers in the technology sector. IBTimes UK analysis incorporating additional sources puts the figure closer to 59,000. RationalFX’s broader methodology, which includes adjacent industries, tracks a total of approximately 45,363 pure-tech job cuts with additional cuts in telecom, semiconductors, and enterprise software adjacent sectors. At the current daily pace of approximately 736 cuts per day, the year-end projection is in the range of 264,000 to 273,000.
Q3: Are Indian IT companies TCS, Infosys, and Wipro actually conducting layoffs or just not hiring?
Both are happening simultaneously. TCS has explicitly announced a reduction of approximately 12,000-19,755 roles depending on the measurement period and methodology. Infosys has reduced its total headcount by approximately 6,500+ through managed attrition and deferred onboarding. Wipro shed approximately 25,200 roles over the two-year period from FY23 to FY25. All three companies are simultaneously conducting some fresher hiring, but at dramatically lower volumes than in their peak years, and the net headcount trend for all three is downward. The claim that reductions are “not mass layoffs” is technically accurate in the sense that there are no sudden, single-event terminations, but the directional outcome is the same.
Q4: Is AI truly the cause of these layoffs, or is it just a convenient excuse?
Both things are true. AI is genuinely displacing work that was previously done by human employees, particularly in areas including code generation, manual testing, document processing, customer support, and administrative functions. This is not theoretical - companies including IBM, Salesforce, and Meta have reported specific, quantified reductions in human effort requirements from AI deployment. At the same time, “AI” has become a convenient corporate narrative for workforce decisions that also reflect macro uncertainty, post-pandemic overhiring correction, competitive pressure, and margin improvement objectives. In practice, most of the current cuts are driven by some combination of AI efficiency gains and traditional financial management, with the ratio varying by company and function.
Q5: Which roles are safest in the current IT layoff environment?
Based on the pattern of cuts and hires across all twenty companies in this analysis, the roles with the greatest stability are those involving AI system design and validation, cloud platform architecture, data engineering for AI applications, security and compliance in AI-enabled systems, and senior client relationship management. The common thread is human judgment applied to complex, contextual, or novel situations where current AI systems do not yet perform reliably. The roles most at risk are those involving routine, pattern-based tasks that can be specified completely enough for AI to execute: manual testing, routine coding, first-line customer support, document processing, and middle-management coordination.
Q6: What severance packages are companies offering to laid-off employees?
Severance varies considerably by company, seniority, and geography. In the United States, the large tech companies have generally offered packages of four to twelve weeks of pay plus extended benefits, with the higher end going to more senior employees. Amazon’s January 2026 round reportedly included packages of up to five months of pay for long-tenure employees. Microsoft’s packages in the July 2025 round included at least 90 days of pay, benefits continuation, and job placement assistance. In India, the regulatory framework requires notice periods and gratuity payments, but the actual packages at TCS and Infosys have generally been at the minimum statutory level for performance-managed exits. In the EU, severance obligations are much more substantial due to labour law requirements, which is part of why the pace of cuts is slower in Europe than in the US.
Q7: How should tech professionals protect their careers given this environment?
The most consistent signal from this analysis is that skills in AI-adjacent capabilities provide the greatest career protection. This does not necessarily mean becoming an ML engineer or AI researcher. It means developing the ability to work effectively with AI tools in your existing domain - whether that is software testing (learning to design and manage automated AI testing frameworks rather than executing manual tests), software development (mastering AI-assisted coding tools and the architectural skills to design systems that AI helps build), or business analysis (using AI to analyse data and generate insights rather than performing these tasks manually). Beyond skills, the data on re-employment speed strongly suggests that actively maintaining a professional network - through platforms like LinkedIn, professional communities, and alumni networks - significantly reduces the time to next employment when a layoff occurs.
Q8: Are EU companies cutting as fast as US companies?
No. EU labour law substantially moderates the pace of headcount reduction relative to US companies. The consultation requirements with works councils in Germany, France, and the Netherlands, the co-determination rights in Nordic countries, and statutory notice and severance obligations across the EU mean that even when the strategic decision to cut is made at the same time as a comparable US decision, the execution takes 12 to 18 months longer. This does not mean EU jobs are safe - the direction of travel is the same - but it does mean the pace of execution is slower and the individual experience of EU employees is often a longer period of uncertainty rather than the sudden termination common in US tech layoffs.
Q9: Which tech companies are still hiring in this environment?
Even within the layoff cycle, hiring continues in specific areas. AI infrastructure companies including Nvidia (which has not announced significant cuts) are growing. AI-native software companies across multiple verticals are hiring aggressively. Within the large companies covered in this analysis, all of them are hiring for AI-specific roles even as they reduce overall headcount. Amazon is hiring AI safety researchers and cloud AI infrastructure engineers. Microsoft is hiring Copilot product managers and AI integration architects. Google is hiring for its DeepMind and Google Brain teams. In India, Global Capability Centres of companies including JPMorgan, Goldman Sachs, Walmart, and Caterpillar are hiring aggressively in Bengaluru and Hyderabad for AI-native roles that pay significantly above traditional IT services rates.
Q10: What impact are these layoffs having on salaries for those who remain employed?
The salary impact is asymmetric. For employees in roles that are clearly at risk - manual testing, legacy maintenance, routine support - the negotiating power has weakened and salary growth has slowed or stalled. For employees with in-demand AI-adjacent skills, the salary premium over traditional IT roles has increased substantially. A data engineer with hands-on experience in LLMOps or AI pipeline management commands a premium of 40 to 60% over a comparable data engineer without those skills in the current US market, and a meaningful premium in India as well. The middle of the salary distribution - competent generalist software engineers without strong AI-specific credentials - is experiencing the most compression, as this is the segment where AI tools are making the most direct impact on productivity and therefore on the headcount justification.
Q11: How is this layoff wave different from the 2022-2023 post-pandemic correction?
The 2022-2023 layoff wave was primarily a correction for a known and definable error: tech companies hired aggressively in 2020 and 2021 on the assumption that the pandemic-driven digital acceleration would be permanent, and when consumer and enterprise spending normalised, they found themselves overstaffed relative to actual demand. The correction was painful but logical, and most of the eliminated roles returned within 18 months as companies resumed hiring at more sustainable levels. The current wave is different because the underlying driver is not a transient staffing error but a permanent change in the relationship between human labour and technology production. When AI tools genuinely improve software engineering productivity by 30 to 40%, that productivity improvement does not go away when economic conditions improve. The companies that have restructured around it will maintain their leaner headcount models even in favourable economic conditions.
Q12: What is the NASSCOM perspective on Indian IT sector layoffs?
NASSCOM, India’s technology industry body, has consistently emphasised the industry’s long-term growth potential and the opportunities created by AI adoption rather than dwelling on the current headcount contraction. NASSCOM has been particularly focused on the narrative that AI transformation creates new categories of work and that the Indian IT sector’s ability to adapt and reskill its workforce is a core competitive strength. While this framing is reasonable at an industry level over a long time horizon, it does not address the near-term displacement being experienced by affected workers, and NASSCOM has been criticised by worker advocacy groups for the gap between its industry-optimistic communications and the lived experience of employees navigating bench situations and deferred joining letters.
Q13: Are any Indian IT companies genuinely bucking the headcount reduction trend?
HCL Technologies is the clearest exception among the big five, having added approximately 3,489 employees in Q2 FY26 while peers were contracting. The reasons, as discussed in the HCL section, relate to its relatively higher exposure to engineering services clients with longer project timelines and less immediate AI vulnerability. LTIMindtree and Mphasis, two mid-cap Indian IT companies not covered in this analysis, have also shown more resilience in headcount than the big five, partly due to their more recent reorganisations and partly due to specific client concentrations in areas of relative strength.
Q14: What happens to the H-1B visa holders who are laid off in the US?
H-1B visa holders who are laid off in the United States have a grace period of 60 days to find new H-1B sponsoring employment, apply for a change of status, or depart the country. In a tight job market for traditional IT roles, this 60-day window is extremely compressed relative to the median re-employment time of 4.7 months reported for laid-off tech workers. The Trump administration’s more restrictive immigration posture has added procedural uncertainty to the process of transferring H-1B sponsorship to a new employer. The combination of these factors has created acute hardship for thousands of Indian and other international IT workers caught in the US layoff cycle without the safety net of US citizenship or permanent residency.
Q15: How are tech unions and worker organisations responding?
The US tech sector has historically had very low union density, and the large companies most heavily cutting - Amazon, Microsoft, Google, Meta, IBM - do not have significant union coverage of their white-collar tech and professional workforces. However, the scale of the current cycle is generating renewed organising interest. Amazon warehouse workers, who have a separate labour dynamics story from the corporate tech cuts, have been organising through various unions for several years. In the EU and UK, the presence of works councils (in Germany, France, and the Netherlands) and active trade union involvement (in Sweden, Finland, and the UK) has meant that restructuring at Ericsson, Nokia, BT, and Vodafone has involved more formal worker consultation than equivalent US company cuts. NITES in India has been raising the issue of deferred joining letters with the Ministry of Labour and has called for stronger regulatory oversight of the industry’s hiring practices.
Q16: What does the real estate market signal about tech sector health?
Office vacancy rates in San Francisco reached 36.7% in Q1 2026, up from 33.9% a year earlier. Seattle’s tech corridor has seen sublease availability increase by 22% year over year. In Bengaluru and Hyderabad, the commercial real estate absorption rate by IT companies has slowed significantly from the post-pandemic peak when companies like TCS and Infosys were leasing large new campuses in anticipation of continued headcount growth. The real estate market is often a lagging indicator of employment trends - companies continue paying for space long after they have stopped filling it - but it confirms the directional signal that the employment contraction in all four markets covered by this analysis is real and ongoing.
Q17: Are there sectors within IT that are genuinely growing employment?
Yes. AI infrastructure is the clearest growth area, including the engineering teams at companies building AI chips (Nvidia, Broadcom), AI model development and training infrastructure (AWS Bedrock, Azure AI, Google AI Platform), and AI application development tooling. Cybersecurity is another area of genuine employment growth, because AI deployment at enterprise scale creates new attack surfaces and new governance requirements that demand human expertise. Cloud engineering roles that involve designing and operating AI-scale infrastructure are in demand. And the emerging field of AI governance and assurance - the teams responsible for evaluating, auditing, and governing AI system behaviour in enterprise deployments - is growing rapidly from a very small base.
Q18: What should a fresher engineering graduate in India do in this environment?
The most important career decision for a fresher entering the job market in this environment is to build skills that matter in the AI-era delivery model rather than targeting the traditional IT services entry pipeline that is demonstrably contracting. This means: building hands-on AI tool skills during final year, including GitHub Copilot, AI testing tools, and cloud AI services; targeting Global Capability Centres of US and European companies in India rather than pure IT services firms, as GCCs typically pay more and offer more technically challenging work; preparing thoroughly for technical assessments using resources like the TCS NQT Preparation Guide and building a GitHub portfolio of AI-enhanced projects that demonstrate hands-on capability; and networking actively rather than waiting for mass recruitment drives, as the channels through which AI-era IT jobs are filled are increasingly LinkedIn and referral-based rather than campus placement-based.
Q19: How are companies measuring the ROI of their AI investments that are supposedly funding these cuts?
The short answer is that most companies are not yet fully measuring it, and the companies that are measuring it are not publishing the results. The most commonly cited metrics are productivity improvements in specific functions - code review time, customer support resolution time, document processing throughput - rather than enterprise-level economic assessments. The longer-term question of whether the $135 billion Meta is spending on AI capex will generate returns commensurate with its cost, or whether the $80 billion Amazon invested in AI infrastructure in 2025 is properly allocated relative to alternatives, remains genuinely open. What is clear is that the current quarter’s margin improvement from headcount reduction is easy to measure and report to shareholders, while the long-term AI investment returns are speculative. This creates a reporting incentive structure that may be accelerating headcount cuts faster than the underlying AI value case actually justifies.
Q20: What regulatory changes are most likely to slow or reshape these layoffs in the next two years?
The EU AI Act’s transparency requirements are the most immediately relevant regulatory development. As the Act’s provisions come into full effect, companies will face greater obligations around disclosing the use of AI in decisions that affect workers, including performance evaluation and role elimination decisions. The UK’s potential Employment Rights Bill is examining similar questions around AI in the workplace. In India, there is growing political pressure on the government to address the fresher onboarding crisis specifically, with parliamentary questions being raised about IT companies’ practices of issuing offer letters and then deferring or cancelling joins. The US regulatory environment under the current administration is generally less likely to add new employment protection requirements, but WARN Act enforcement and SEC disclosure requirements around material workforce changes provide some baseline transparency obligations.
Conclusion: Reading the Map While the Terrain Shifts
The twenty companies analysed in this article do not represent every company in the global IT sector. They do not include the thousands of mid-size IT services firms, the emerging-market technology companies, the enterprise software startups, or the system integrators and consulting firms that also employ millions of technology workers globally. But they do represent the gravitational centres around which the industry orbits. When Amazon restructures, the consulting firms, system integrators, and service providers that depend on Amazon enterprise relationships feel the impact. When TCS reduces its headcount, the network of training institutes, housing providers, and local businesses that depend on TCS salaries contracts alongside it.
The macro picture that emerges from looking at all twenty companies simultaneously is of an industry in genuine structural transition rather than cyclical correction. The tools that are driving the cuts are real, the financial incentives to deploy them are powerful, and the regulatory frameworks to govern the transition are in their infancy. The individuals caught in this transition - whether a TCS engineer in Chennai waiting for a bench clearance that may not come, or an Amazon programme manager in Seattle sorting through a severance package - deserve analysis that takes the full complexity of their situation seriously rather than retreating into either optimistic “AI will create new jobs” narratives or pessimistic “technology is destroying employment” framings.
The most honest conclusion is also the most uncomfortable one: the technology industry is in the middle of a transition whose full employment consequences cannot yet be seen, but whose directional signal is clearly toward a smaller human workforce producing the same or greater economic output. Navigating this transition well - as an employee, as a policymaker, as a community - requires clear eyes about what is actually happening, not the softened language of “restructuring,” “skill realignment,” and “AI-assisted efficiency.”
The map is shifting while everyone is trying to read it. This analysis aims to have captured an accurate snapshot of where the major landmarks stand as of today.
This article is based on verified data from company earnings calls, SEC and MCA filings, RationalFX analysis, TrueUp.io layoff tracker, Layoffs.fyi, InformationWeek’s 2026 layoff tracker, Computerworld, TechCrunch, Crunchbase, Business Standard, Storyboard18, and direct company communications. Data points are accurate as of the date of publication. Headcount figures may vary slightly depending on the methodology and reporting period used by each company. This analysis covers a fast-moving subject and readers are encouraged to cross-reference with the latest quarterly earnings disclosures for the most current figures.
For IT career preparation resources including the TCS NQT Preparation Guide and TCS ILP Preparation Guide, visit ReportMedic.
APPENDIX: DEEPER SECTORAL AND ECONOMIC ANALYSIS
The Hidden Layoffs: What Official Numbers Do Not Capture
The layoff numbers published by TrueUp.io, Layoffs.fyi, and RationalFX are significant. But they capture only a fraction of the actual workforce reduction occurring in the global IT sector, because the most common form of IT job reduction does not appear in any headline announcement.
The mechanisms of hidden reduction operate in several ways. At Indian IT companies, the most common is managed attrition, where the company simply stops backfilling roles as people leave voluntarily. If TCS is running 13.8% annual attrition across a workforce of 593,000, that represents approximately 82,000 people leaving voluntarily every year. In a growth phase, the company would be hiring aggressively to backfill all of these departures. In the current phase, it is hiring back perhaps 60,000 to 65,000 - meaning 15,000 to 20,000 net positions are silently eliminated each year through the simple mechanism of not replacing people who quit. This never generates a “TCS announces 15,000 layoffs” headline, but the employment effect is identical.
At US companies, a parallel mechanism operates through “headcount freezes” that quietly prevent backfilling of roles that open up through normal turnover. When a product manager at Google leaves for another company, the position may simply be left open indefinitely while internal AI tools increasingly handle the portfolio management functions that person was performing. The headcount never formally decreases; it simply stops increasing. Over a year, dozens or hundreds of these quiet non-backfills add up to a meaningful reduction in operational headcount without any public announcement.
A third mechanism, particularly common at enterprise software companies, is the “reshuffling” where employees are offered transfers to internal roles that are geographically inconvenient or substantially different in character from their current role, on the implicit understanding that most will decline and leave voluntarily, converting what would have been a layoff into a resignation. This mechanism avoids severance costs, avoids public announcement, and avoids potential legal complications in jurisdictions with strong employment protection.
When all of these mechanisms are added to the formally announced cuts, the actual scale of IT workforce reduction globally in 2026 is likely to be 30% to 50% higher than the publicly tracked numbers suggest.
The Pay Compression Story Within the Survivors
One of the least discussed consequences of the current layoff environment is what is happening to the compensation of employees who remain employed. The conventional expectation is that layoff survivors receive salary increases as the reward for not being let go and as compensation for the additional workload created by the departure of colleagues. In previous tech downturns, this is broadly what happened. In the current cycle, the dynamics are more complicated.
At Indian IT companies, salary increment cycles have been constrained across the industry. TCS’s FY25 increment round was delayed and compressed compared to pre-pandemic norms. Infosys’s increments were similarly modest. Wipro reduced the proportion of employees receiving above-average increments. The justification from HR departments is that the company needs to “invest in transformation” and that the increments will improve once revenue growth accelerates. For employees who have not been made redundant but who are carrying additional workload as colleagues are let go, the combination of no increment and more work creates significant dissatisfaction - which drives the high attrition rates that then force the companies to manage more exits than planned, potentially releasing people they intended to retain.
In the United States, the compensation dynamics are different. Senior engineers at companies like Amazon, Microsoft, and Google often have large portions of their compensation in the form of Restricted Stock Units that vest over four-year schedules. The current stock prices at most of these companies have been strong, meaning RSU vesting is providing significant additional compensation to employees who have managed to stay employed. The divergence between the compensation experience of an employed senior engineer at Amazon (whose RSU vesting may be delivering $150,000 to $300,000 annually in the current stock environment) and a recently laid-off Amazon programme manager struggling to find a new position after seven months of searching is enormous. The same company is producing dramatically different outcomes for these two individuals simultaneously.
The AI Tool Adoption Paradox Within Companies
One of the recurring paradoxes in conversations with technology workers at the companies covered in this analysis is the ambivalence they feel about the AI tools they are being asked to use. On one hand, they recognise that these tools are genuinely useful, that they make certain tasks faster and less tedious, and that proficiency with them creates career value. On the other hand, they are acutely aware that their own efficiency improvement through AI tool use may be directly contributing to the calculation that fewer of them are needed.
This creates what some organisational psychologists are calling the “AI adoption paradox.” Employees are simultaneously incentivised (by career self-interest) and disincentivised (by self-preservation instinct) to adopt AI tools aggressively. A software engineer who becomes highly proficient with GitHub Copilot and doubles their code output might be rewarded with a promotion or merit increase - or might contribute to the evidence base that justifies eliminating one of their teammates. There is no reliable way to know in advance which outcome will follow.
Companies are generally aware of this paradox, and some have attempted to address it through explicit communications that frame AI tool adoption as a way to enable “higher-value work” rather than enabling headcount reduction. But the headcount numbers tell the real story, and employees with access to earnings reports and industry news are not naive about the relationship between the productivity claims companies make about AI and the headcount decisions those claims justify.
The Second-Order Effects on India’s Educational Pipeline
Among the most consequential and least discussed downstream effects of the Indian IT headcount reduction is its impact on the educational and career planning decisions being made by hundreds of thousands of Indian students right now. For twenty-five years, the implicit deal of Indian engineering education has been clear: study computer science at an engineering college, clear the NQT or similar assessments of the major IT companies, and you would receive an offer letter and a reliable income that would be the foundation of a middle-class life. This deal was the mechanism through which Indian IT created an enormous middle class in a single generation.
The deal is now uncertain in ways it has never been before. Students preparing for placements in FY27 and FY28 - the batches currently in their second and third years of engineering - are observing the deferred joining situation of the FY25 and FY26 batches and rationally updating their expectations. Reports from career counsellors at Tier 2 and Tier 3 engineering colleges indicate that students are diversifying their preparation - preparing for the UPSC civil services examinations, bank recruitment examinations, and GCC opportunities alongside traditional IT company placement preparation - in ways that represent a structural shift in career planning.
The colleges themselves are under pressure to adapt. Placement rates at engineering colleges have long been a primary marketing and accreditation metric. If the traditional IT sector is absorbing fewer graduates, colleges face pressure to build placement relationships with GCCs, product companies, and non-traditional sectors. This is happening, but the pace of college adaptation is slow relative to the speed of industry change.
For the most ambitious and adaptable engineering students, the current environment actually offers significant opportunities. GCCs of major US and European companies in Indian cities offer salaries two to three times the entry-level rates at traditional IT services companies, more technically challenging work, and clearer visibility into the skills that will matter in the AI era. But GCC opportunities are available to a fraction of the total engineering graduate population - they are concentrated in Bengaluru, Hyderabad, Pune, and Noida, and they require technical skills that are not uniformly distributed across the engineering college population.
The students most at risk are those in the middle of the ability and preparation distribution at Tier 2 and Tier 3 colleges who previously relied on TCS, Infosys, and Wipro’s mass recruitment to create a path into the IT sector. For this cohort, the current environment is genuinely difficult with no easy navigation.
The M&A Dimension: Consolidation Adding to Cuts
Most coverage of the current IT layoff wave focuses on organic restructuring within individual companies. But merger and acquisition activity is adding a meaningful additional layer of headcount reduction that does not always appear in organic restructuring counts.
Several major deals completed in the last 18 months have produced integration-driven headcount reductions that layer on top of organic AI-efficiency-driven cuts. Microsoft’s acquisition of Activision Blizzard, completed in late 2023, was followed by multiple rounds of gaming division restructuring as the company sought to integrate a 17,000-person organisation into its existing Xbox structure. Cisco’s acquisition of Splunk in 2024 similarly produced integration-related restructuring. These M&A-driven cuts are not primarily AI-driven, but they contribute to the overall headcount reduction numbers and to the individual experience of affected workers.
In India, the M&A picture has been somewhat different. LTIMindtree, formed from the merger of L&T Infotech and Mindtree, went through integration-related restructuring in the period following its merger completion. Mphasis went through management changes that produced selective restructuring. While Indian IT sector M&A has been less dramatic than the hyperscaler deals, the integration dynamics produce real headcount impacts.
Looking forward, several analysts anticipate potential consolidation within the Indian IT sector itself, as smaller Tier 2 players face revenue pressure and become acquisition candidates for the larger firms. Any such consolidation would produce further integration-related cuts that would add to the already challenging employment environment.
Severance Economics: The Real Cost to Companies
One dimension of the layoff wave that is rarely quantified in public analysis is the actual cost to companies of the severance packages associated with their announced cuts. This matters because companies do not eliminate positions for free, and the size of the severance obligation affects both the timing and the framing of layoff announcements.
In the United States, large technology companies have generally offered severance packages of four to twelve weeks of base pay, with the higher end associated with longer-tenure employees and more senior roles. Amazon’s January 2026 announcement reportedly included packages of up to five months for long-tenure employees. Microsoft’s May and July 2025 cuts came with 90-day minimum severance plus benefits continuation and career transition assistance. Meta’s performance-based cuts in February 2025 provided severance according to tenure formulas that for many senior employees exceeded six months of total compensation.
For a company like Amazon cutting 16,000 employees, the direct severance cost runs into billions of dollars. Amazon’s own financial filings have reflected this, with restructuring charges appearing in the quarters when major cuts were announced. The same pattern appears at Microsoft, which disclosed restructuring charges associated with its 2025 cuts.
These severance costs are real and significant in the short term. But they pale against the long-term payroll savings from the eliminated positions. At an average total compensation of $150,000 to $200,000 per year for US tech workers at the senior levels being cut, eliminating 16,000 roles saves Amazon roughly $2.4 billion to $3.2 billion annually in payroll - a return on the one-time severance cost within a single quarter. The financial logic of the cuts is clear once the arithmetic is run, which is why investors consistently reward these announcements with stock price appreciation.
In India, the severance economics are different. Indian labour law (specifically the Industrial Disputes Act) requires certain severance payments for large-scale retrenchments, but for companies structured as “IT companies” the application of these protections has historically been contested. TCS’s and Infosys’s ability to conduct their workforce reductions primarily through managed attrition, performance management, and deferred onboarding rather than formal retrenchment has allowed them to avoid the bulk of statutory severance obligations. This is legally defensible but has generated significant public criticism from employee advocacy groups.
The Geographic Concentration of Pain
The layoff wave’s impact is not evenly distributed geographically, and understanding the concentration patterns is important for regional economic analysis.
In India, the impact is concentrated most heavily in specific neighbourhoods and localities of major IT cities. In Bengaluru, areas like Whitefield, Electronic City, Koramangala, and Marathahalli - which have been effectively colonised by IT culture over the last two decades - are the locations most affected. Real estate rental markets in these areas have softened. Local businesses - restaurants, gyms, daycares, domestic services - that depend on the spending of IT workers are reporting declining revenues. The IT industry’s impact on Bengaluru extends so deeply into the city’s economic fabric that even a 10% to 15% reduction in billable headcount creates visible ripples across multiple sectors.
Hyderabad’s Hitech City and surrounding areas face similar dynamics. Pune’s Hinjewadi and Wakad tech corridors, Noida’s Sector 62 and 63, and Chennai’s OMR (Old Mahabalipuram Road) IT corridor are all experiencing some degree of economic softening driven by the reduced hiring and increased bench of the major IT firms.
In the United States, the geographic concentration is even more pronounced. The San Francisco Bay Area, which hosts the headquarters of Google, Meta, Salesforce, and many other affected companies, has seen commercial real estate vacancy rates reach historic highs. Seattle, home to Amazon and Microsoft’s major campuses, is experiencing a similar commercial real estate stress. Austin, Texas, which attracted massive tech headcount during the post-pandemic relocation wave, is now seeing a partial reversal as some of the relocated employees face layoffs and others choose to work remotely from lower-cost locations.
In the UK, London’s Tech City corridor in Shoreditch and the Canary Wharf technology cluster are the most concentrated locations of layoff impact. Manchester, Leeds, and Glasgow, which have built meaningful technology sector presences over the last decade, are also experiencing the effects as companies consolidate operations.
The International Experience Dimension
This analysis would be incomplete without acknowledging the specific experience of international technology workers employed in countries other than their home country - particularly the large population of Indian IT professionals working in the United States on H-1B visas, the intra-EU movement of tech workers, and the significant populations of international IT professionals in the UK.
For H-1B holders, the intersection of the tech layoff wave and the Trump administration’s more restrictive immigration posture creates a particularly acute vulnerability. The 60-day grace period for H-1B holders to find new employment after a layoff is essentially unchanged from when it was last updated in 2017, but the time to re-employment in the current market has increased to a median of 4.7 months. This mathematical mismatch creates a situation where a meaningful proportion of laid-off H-1B holders - those who cannot find new sponsoring employment within the 60-day window - face forced departure from a country where they have built their lives, often over many years.
The numbers here are difficult to quantify precisely, but given that approximately 70% of H-1B visas are held by Indian nationals and that the current layoff wave is heavily concentrated in the technology sector that employs the majority of H-1B workers, the displacement impact on the Indian-American professional community is significant. Immigration attorneys report a sharp increase in H-1B transfer inquiries, requests for status change advice, and urgent consultations about options for families facing the 60-day clock.
In the EU, intra-EU mobility provides somewhat more protection, as a Polish software engineer laid off from a Dutch company can seek re-employment elsewhere in the EU without immigration consequences. But the EU’s tech employment market is thinner than the US market, and language requirements for client-facing roles limit the practical mobility of many workers.
The Employer Branding Crisis
An underappreciated consequence of the current layoff wave is the damage being done to employer brands that took decades to build. Companies like TCS, Infosys, and IBM have long benefited from aspirational brand value among engineering students - the prospect of working at these companies drove enormous preparation and competition. The current environment, characterised by deferred joining letters, managed attrition, and public discussions of AI replacing jobs, is eroding this aspirational value at a measurable pace.
LinkedIn forums and Reddit communities like r/developersIndia and r/cscareerquestions are filled with threads in which students who received TCS or Infosys offer letters discuss whether to continue waiting for joining dates or pursue alternative paths. The content of these discussions, visible to millions of current and prospective employees, is reshaping the employer brand of these companies in real time. The companies that most effectively manage this brand crisis will be better positioned to attract the AI-era talent they need when the restructuring stabilises. The companies that fail to communicate transparently and treat affected candidates respectfully will face a longer recovery period in the talent market.
In the United States, the employer brand consequences are even sharper because the talent market is more transparent and more mobile. Glassdoor ratings for companies that have conducted major layoffs show consistent deterioration in “senior leadership” and “job security” scores following major announcements, with recovery periods that typically last 18 to 24 months. Companies that are perceived to have treated laid-off employees generously and with dignity recover faster. Companies perceived to have been abrupt, secretive, or callous recover more slowly.
The Productivity Dividend and Where It Goes
The AI-driven productivity gains that are justifying the current wave of IT layoffs are real and measurable. But where the productivity dividend goes - who captures the value created by AI-enabled efficiency - is a question with important economic implications.
The current evidence is unambiguous: the productivity dividend is being captured primarily by shareholders. When Amazon cuts 30,000 positions and simultaneously posts record revenues, the eliminated payroll flows directly to the bottom line and then to stock price appreciation and shareholder returns. When Infosys increases revenue per employee while holding headcount flat or declining, the improvement in RPE shows up in margin expansion that is rewarded by institutional investors. The transition from labour-intensive to AI-efficient production is generating enormous shareholder value.
For the technology workers who built the systems, trained the models, and developed the processes that are now enabling their own displacement, the share of the productivity dividend being received is asymmetric. Those at the very top of the AI capability distribution - researchers and engineers who developed the tools that are now deployed - have received substantial compensation through equity. But the much larger population of mid-career engineers, quality assurance professionals, and delivery managers whose work contributed to the platform on which the AI tools operate have not received a proportionate share of the value their work helped create.
This asymmetry is not new to technology. The history of previous technology transitions - the mechanisation of agriculture, the automation of manufacturing, the computerisation of clerical work - shows that productivity gains from technology transitions typically accrue to capital owners in the near term before labour markets adjust through a combination of new job creation, wage increases in adjacent areas, and policy interventions. Whether the current AI transition will follow the same arc depends in part on whether the historical mechanisms of labour market adjustment are faster or slower than the pace of AI capability advancement. The current evidence suggests the pace of AI advancement may be fast enough to outrun the traditional adjustment mechanisms.
Industry Body and Government Responses
Government and industry body responses to the current layoff wave have ranged from the substantive to the rhetorical, and understanding which responses are likely to have real impact is important for workers trying to assess their medium-term prospects.
In India, the Ministry of Electronics and Information Technology (MeitY) has been in dialogue with NASSCOM and the major IT companies about fresher absorption challenges. Several parliamentary questions have been raised about the deferred joining crisis. However, the government’s leverage over private companies’ hiring decisions is limited, and the policy responses most discussed - incentives for companies to accelerate hiring, skill development programmes under the National Education Policy, and expanded GCC incentives to attract more international tech investment - are medium-term structural measures that do not address the immediate situation of the hundreds of thousands of engineers currently in employment limbo.
The European Parliament has been more active in regulatory response. The AI Act’s provisions around high-risk AI system deployment and transparency are directly relevant to the workplace, and several members of the European Parliament have called for explicit amendments addressing AI-driven workforce displacement. The Commission’s work on AI liability and AI in the workplace is ongoing, and while concrete legislation is still years away, the regulatory trajectory in Europe is clearly toward more oversight of AI-driven employment decisions than currently exists.
The UK government’s position has been somewhat ambiguous. The previous Labour government signalled interest in AI governance and worker protection. The current political environment is grappling with how to balance the AI industrial strategy ambitions articulated in various government documents with the social consequences of AI-driven employment changes that are visible in constituencies across the country.
In the United States, the regulatory environment under the current administration is generally less favourable to new employment protection measures, but WARN Act enforcement remains active and companies that attempt to evade the 60-day notice requirement for large layoffs face legal exposure. The SEC’s disclosure requirements for material workforce changes provide some transparency, and activist investors have in some cases pushed companies to provide more detail about the AI rationale and workforce planning behind their announced cuts.
The Long View: IT Employment in 2030
Attempting to project IT employment levels across India, the US, the EU, and the UK in 2030 involves significant uncertainty. But the directional signals from the current analysis suggest several likely scenarios.
In India, the IT services industry will almost certainly be smaller by headcount in 2030 than it is today, but not necessarily smaller by revenue. The transition from headcount-based billing to outcome-based and value-based pricing, which is already underway in the most AI-forward contracts, will allow companies to grow revenue while reducing absolute headcount. The more pressing challenge for India is whether the employment structure can evolve fast enough to absorb the millions of engineering graduates who will continue to enter the labour market each year. If GCCs, product companies, and domestic technology start-ups can absorb the surplus, the transition will be painful but manageable. If they cannot, the gap between engineering graduation volumes and employment opportunities will widen into a structural crisis.
In the United States, the technology sector will almost certainly continue to employ millions of workers, but the composition of roles will shift substantially. Infrastructure-adjacent roles - data centre operations, AI model deployment and management, cloud architecture - will grow. Application development roles will remain significant but may decline in absolute number if AI can write and test a growing proportion of commercial software. The roles with the most uncertainty are those in the middle of the skill distribution, where AI tools have some capability but require significant human oversight and judgment.
In the EU, the combination of regulatory moderation, strong labour protections, and a more diverse sectoral technology base suggests a somewhat more gradual adjustment than the US. However, the structural pressures are the same, and the EU’s manufacturing technology sector - which includes companies like SAP, Siemens, and a range of industrial automation firms - will face AI-driven efficiency pressures that translate into headcount reductions on a somewhat delayed timeline relative to the US tech sector.
In the UK, the technology sector’s trajectory depends heavily on how the country positions itself in the global AI landscape. If the UK successfully builds on its existing AI research strengths to become a hub for AI safety, AI governance, and applied AI development, it could attract significant new employment even as traditional IT services roles decline. If it fails to differentiate from the US and EU in AI positioning, it risks losing both the traditional IT employment base and the emerging AI employment opportunities.
The twenty companies analysed in this article are not monoliths. Within each of them, individual people are making decisions every day about which direction to invest their careers, which skills to build, and how to navigate a transition that none of them designed. The quality of those individual decisions, aggregated across millions of technology workers globally, will ultimately determine how well human employment adapts to the AI age. The structural forces are powerful, but they are not deterministic. People and institutions can shape the outcomes, if they understand clearly what is actually happening.
The Role-Level Breakdown: What Jobs Are Actually Disappearing
To move beyond the aggregate headcount numbers and understand the human texture of the current layoff wave, it is necessary to look at which specific roles are being eliminated, why those roles have been targeted, and what that means for workers whose careers were built around those functions.
Software Quality Assurance and Testing
Across every geographic market in this analysis, software quality assurance (QA) and manual testing roles have been among the first and most heavily impacted by AI automation. The reason is structural: manual software testing involves a large volume of repetitive, documentable procedures that are exactly the type of task that AI automation handles well. Testing tools including Selenium with AI extensions, GitHub Copilot for test generation, Appium for mobile testing, and AI-native platforms like Testim and Mabl can now generate, execute, and report on large test suites with minimal human direction.
The QA teams that were once among the most reliably employable segments of the Indian IT services industry - large teams of engineers executing regression tests, user acceptance testing scripts, and performance testing protocols - have seen the most concentrated headcount reductions. TCS has reportedly reduced its manual QA headcount by 20% to 30% in the last 18 months. Wipro’s testing practice restructuring was one of the first visible signs of its broader contraction. Infosys’s testing and assurance practice, which was previously one of its most labour-intensive delivery areas, has been significantly automated through its own testing AI tools.
The QA engineers most affected are those whose skills are confined to manual test execution, test case documentation, and defect logging. Those who have built skills in test automation framework design, AI testing tool configuration, and test architecture are in much higher demand and have generally retained employment even as their manual-testing colleagues were let go.
Project and Programme Management
The second major category of eliminated roles is project and programme management, particularly the layers of middle management that coordinate between technical teams, client stakeholders, and delivery leadership. AI tools including Microsoft Copilot, AI project management platforms, and AI-assisted reporting systems are now performing functions that previously required dedicated project manager headcount: status report generation, risk log maintenance, meeting summarisation, cross-team dependency tracking, and senior leadership briefing preparation.
When Microsoft eliminated programme managers in its July 2025 round, the internal communication cited “increased team agility” and “flatter decision-making” - but the practical mechanism was that Copilot and Teams AI integration now handled enough of the coordination work that the ratio of programme managers to technical contributors could be reduced. The same dynamic is playing out at Amazon, where the “anti-bureaucracy” framing of its cuts applies most directly to the coordination and management layers that add friction to decision-making without adding technical or client value that AI cannot replicate.
In Indian IT, programme management has historically been one of the career paths for mid-level engineers who moved from technical roles into client-facing coordination roles. These roles commanded salary premiums and provided a career progression pathway for engineers who did not want to remain in deep technical specialisation. The compression of this career pathway through AI automation creates a progression challenge for the mid-career cohort of Indian IT workers.
Business Process Outsourcing and Back-Office Functions
BPO and shared services functions that were among the fastest-growing segments of Indian IT employment in the 2000s and 2010s are now among the most vulnerable to AI displacement. The functions that made BPO work attractive as a business model - labour cost arbitrage on routine, repetitive tasks - are precisely the functions that AI handles most effectively.
Accounts payable and receivable processing, which involves matching invoices to purchase orders, identifying discrepancies, and routing approvals, is now being performed by AI tools at companies like IBM, Capgemini, and Accenture with minimal human touchpoints. Customer service BPO, which accounted for enormous headcount at companies including Wipro, Tech Mahindra, and Capita, is being reduced as AI-powered chatbots and voice agents handle growing proportions of the customer interaction volume. HR process outsourcing, which includes payroll administration, benefits management, and employee query handling, has been substantially automated at IBM and at shared services operations at most major US tech companies.
The workers most affected by BPO automation tend to be at the lower end of the IT salary distribution - employees who joined IT companies through the BPO pathway rather than through engineering college placement, often earning salaries of 15,000 to 25,000 rupees per month in India. These workers have the least financial cushion, the fewest alternative employment options, and the most difficult reskilling path. Their situation is the least discussed and most economically precarious in the entire layoff wave.
Human Resources Within IT Companies
The internal HR functions of the IT companies covered in this analysis have themselves experienced significant AI-driven reduction. IBM’s highly publicised use of watsonx for HR operations, which reduced the volume of HR queries requiring human resolution by approximately 80% according to the company’s own reporting, has been replicated in some form at virtually every major IT company.
The HR roles most affected are those in employee query handling, documentation management, learning and development administration, and workforce reporting. The roles surviving and in some cases growing are those involving strategic talent management, complex employee relations cases, executive compensation design, and the distinctly human work of navigating sensitive individual situations. What is disappearing is the administrative tier of HR - the functions that made sense to have humans perform when AI alternatives did not exist, but that can now be handled more efficiently and consistently by AI systems.
This creates a particular irony for the HR professionals who are being asked to manage the human dimensions of the layoffs occurring around them. The people responsible for communicating departure packages, conducting stay interviews with at-risk employees, and navigating the emotional complexity of workforce reduction are themselves operating in a function that is being steadily automated.
The Entry-Level Engineering Pipeline
Perhaps the most strategically significant role category being affected is the entry-level engineer. In the traditional Indian IT services delivery model, the entry-level engineer was the foundation of the pyramid. A large base of entry-level engineers executing tasks under the direction of mid-level leads, who were supervised by senior engineers and delivery managers, was the model that allowed Indian IT companies to scale their headcount and revenue simultaneously.
AI tools are compressing this pyramid from the bottom. When GitHub Copilot can generate a routine CRUD application in minutes that would have taken an entry-level engineer two days, the economic justification for a large entry-level engineering cohort weakens. When AI-assisted testing can replace a team of junior QA engineers, the justification weakens further. When AI documentation tools can produce technical specifications and user guides that would have been produced by junior business analysts, it weakens again.
The compression of the entry-level engineering role is not merely a problem for current graduates entering the market. It is a structural problem for the entire Indian IT workforce pyramid over the next decade. Senior engineers acquired their skills by doing entry-level engineering work. If entry-level engineering roles are substantially eliminated by AI automation, the pathway to developing senior engineering capability shrinks. The industry may find in five to seven years that it has a structural shortage of mid-level engineers with broad hands-on experience, because the apprenticeship pipeline that produced previous generations of senior engineers no longer exists in its traditional form.
The Rise of the Prompt Engineer and What That Really Means
No discussion of which roles are disappearing would be complete without addressing the new roles being created, and no new role has attracted more discussion - and more scepticism - than “prompt engineering.”
The term prompt engineer refers broadly to the skill of designing effective inputs to large language model systems to produce desired outputs. When the term emerged in 2023, it was heralded by some commentators as the new high-value IT skill that would replace the roles being displaced by AI. The reality in 2026 is considerably more nuanced.
Dedicated prompt engineering as a standalone role has proven less durable than predicted. The reason is that as AI models become more capable, the skill of prompting them effectively becomes less distinct - better models require less sophisticated prompting to produce good results, which reduces the specialisation value of pure prompting expertise. The workers who are genuinely thriving in the AI transition are those who combine domain expertise with AI tool proficiency - a senior accountant who can design AI-assisted audit workflows, a supply chain manager who can build AI-enhanced demand forecasting systems, a software architect who can design systems that intelligently incorporate AI-generated code components. These hybrid roles are the genuinely new career category emerging from the AI transition.
What is not emerging at meaningful scale is a large class of “prompt engineer” roles that would employ a significant fraction of the workers displaced from QA, programme management, and entry-level engineering. The narrative that AI disruption would be mitigated by creating large numbers of AI-specific jobs is proving, at this early stage, to be more optimistic than the current data supports.
A Word on Mental Health and Worker Support
The human dimensions of mass layoffs extend beyond financial hardship. Research on the psychological impact of job loss is consistent across multiple decades and multiple countries: involuntary unemployment produces elevated rates of depression, anxiety, relationship stress, and in severe cases, more serious mental health crises. The current layoff wave, affecting hundreds of thousands of technology workers globally, is generating a mental health impact that deserves explicit acknowledgment.
In India, the particular cultural context around IT employment amplifies the psychological impact. IT employment has been so deeply tied to family aspiration, social status, and the fulfilment of multi-generational educational investment that job loss in the sector carries social weight beyond the financial dimension. Parents who invested in engineering education, relatives who borrowed for fees, communities that associated IT employment with stability and progress - all of these relational expectations become sources of additional stress for the individual navigating a layoff or a deferred joining situation.
In the United States, where tech employment has been the most reliable path to economic security for a generation of workers, the disruption to identity that comes with tech unemployment is significant. Many of the workers being laid off have never been unemployed before. The experience of rejection - even when intellectually understood as the result of structural forces rather than individual failure - is emotionally challenging in ways that the clinical language of “workforce restructuring” does not capture.
Several of the companies in this analysis have made counselling and mental health resources part of their separation packages. Microsoft’s July 2025 layoff package included extended access to Employee Assistance Programme services. Amazon’s packages have included transition support resources. Whether these provisions are sufficient to address the scale of the mental health need is uncertain, but their inclusion represents at least a recognition of the psychological dimension of what is happening.
For workers navigating the current environment, the evidence from previous tech downturns is consistently that proactive networking, skills investment, and community connection with peers who are navigating similar situations are the most effective strategies for both practical re-employment and psychological resilience.
Prepared by the InsightCrunch Research Team using verified data from TrueUp.io, Layoffs.fyi, RationalFX, InformationWeek, Computerworld, Business Standard, TechCrunch, Crunchbase, and direct company filings as of March 25, 2026. All headcount figures are approximations drawn from the most recent available public disclosures. The analysis covers a rapidly evolving subject and specific figures should be verified against company quarterly filings for the most current data.
For ongoing preparation resources for Indian IT careers, the TCS NQT Preparation Guide and TCS ILP Preparation Guide on ReportMedic remain among the most comprehensive resources available for engineering students preparing for IT sector entry.
The Compensation Data: What Laid-Off IT Workers Actually Earn Before and After
One of the most underreported aspects of the current IT layoff wave is the economic data on what workers were earning before the layoffs and what they are finding after. This section compiles available data across the four geographies to provide context for the human scale of the financial disruption.
US Compensation Data
In the United States, the tech workers being laid off at companies like Amazon, Microsoft, Google, and Meta are among the highest-compensated workers in the country. Total compensation for software engineers, programme managers, data scientists, and product managers at these companies ranges from roughly $150,000 annually for entry-level roles to over $500,000 for senior engineers at principal and staff levels when equity is included. Many laid-off Amazon and Microsoft employees were earning $200,000 to $350,000 in total annual compensation at the time of their separation.
The available re-employment data suggests that workers who find new positions within six months are generally landing at similar or slightly lower compensation, particularly if they are moving to companies that do not have the same RSU-heavy compensation structures as the Big Tech firms. Workers who take longer than six months to find new positions face more significant compensation compression, particularly as the market signal of extended unemployment reduces negotiating leverage.
The most significant financial variable for US tech workers is the RSU vesting schedule. An employee with four years of unvested RSUs who is laid off immediately loses significant value - Amazon and Microsoft do not accelerate vesting upon layoff for most employees. For senior employees with large unvested RSU grants, the economic impact of the layoff is substantially higher than the salary alone suggests.
India Compensation Data
In India, the salary distribution at the companies in this analysis is more compressed than in the US but still meaningful in local economic terms. Entry-level engineers at TCS, Infosys, Wipro, and HCL earn approximately Rs 3.5 to Rs 5.5 lakh per year in base salary. Mid-level engineers at the 5 to 7 year experience mark earn Rs 8 to Rs 18 lakh annually. Senior delivery managers and practice leads can earn Rs 20 to Rs 50 lakh or more.
The transition market for laid-off Indian IT workers is complex. For workers with strong skills, particularly in AI, cloud, and data engineering, the GCC market and product company market offer opportunities at premium rates - sometimes 40% to 60% higher than the IT services salaries they were earning. For workers in legacy skill areas including mainframe maintenance, manual testing, and traditional ERP configuration, the transition options are more limited and the compensation expectations need to be reset downward.
The psychological dimension of salary expectations is particularly significant in India, where the social signalling of IT sector employment involves specific salary levels that carry family and community meaning. A senior engineer who was earning Rs 18 lakh at TCS and who can only find employment at Rs 12 lakh at a smaller company is facing not just a financial adjustment but a social one that reverberates through relationships and family dynamics.
UK Compensation Data
UK technology workers at the companies in this analysis earn in ranges from approximately 30,000 to 40,000 pounds annually at entry level to 70,000 to 120,000 pounds for senior technical specialists, with the higher end of the range found at the UK operations of US hyperscalers. BT and Vodafone’s corporate and technology roles typically pay somewhat below the hyperscaler rates but offer benefits packages including pension contributions that have historically been generous relative to private sector alternatives.
The UK re-employment market for laid-off tech workers is somewhat thinner than the US market, with fewer of the ultra-large technology employers that can absorb significant numbers of experienced workers simultaneously. UK workers in more general IT skills have found transition into other sectors including financial services, healthcare technology, and defence more viable than their US counterparts, because the UK’s sectoral distribution of technology employment is broader relative to its total tech workforce size.
The ESG and Corporate Responsibility Question
The current wave of AI-driven IT layoffs is creating an interesting tension for the environmental, social, and governance (ESG) frameworks that have been central to how institutional investors evaluate large corporations over the last decade. The “S” in ESG - the social component - explicitly includes considerations of workforce treatment, employment stability, community impact, and labour rights. Companies that score well on ESG metrics typically do so partly on the strength of their employment practices.
The AI-driven restructurings at the companies in this analysis are creating a situation where companies are simultaneously posting ESG commitments and eliminating tens of thousands of jobs, framing the eliminations as necessary for competitiveness while providing minimal community transition support beyond the individual severance package. The gap between stated ESG commitments and actual workforce impact decisions is generating increasing scrutiny from ESG-focused institutional investors, particularly in Europe where ESG investment mandates are more stringent.
SAP and Ericsson, both of which have published detailed sustainability reports with social commitments, have faced questions from ESG analysts about how their restructuring programmes square with those commitments. The answer companies typically give - that the restructuring enables long-term sustainability by improving financial health - is logically defensible but does not fully address the near-term social impact on displaced workers and their communities.
The pressure from ESG investors is unlikely to prevent or substantially slow the restructuring decisions in the near term, but it may influence how companies provide transition support, how transparently they communicate the AI rationale for cuts, and how much lead time they provide to affected communities and workers. These are meaningful differences in the lived experience of affected individuals even if they do not change the headline headcount numbers.
A Final Data Summary: The Numbers in One Place
For readers who want to reference the key data points across all twenty companies in a consolidated form, this section provides an at-a-glance summary.
India - Combined Big Five Snapshot
The five largest Indian IT companies collectively employ approximately 1.56 million people as of the most recent available quarterly disclosures. Across the six-month period covered by this analysis, the combined net headcount of these five companies has declined by approximately 28,000 to 35,000 employees through a combination of announced restructurings and managed attrition. Fresher hiring volumes across all five are running at approximately 40% to 50% of the peak years of FY22 and FY23. Attrition rates across the group average approximately 13% to 14%, generating natural headcount reduction that the companies are partially choosing not to backfill.
US - Combined Five-Company Snapshot
The five largest US IT companies by global headcount covered in this analysis - Amazon, Microsoft, Google/Alphabet, Meta, and IBM - have collectively announced or executed approximately 55,000 to 60,000 layoffs across the six-month period covered, with Amazon accounting for the majority. All five companies have explicitly cited AI adoption as a primary driver of cuts. All five are simultaneously investing billions in AI infrastructure, creating a paradox of record-level capital investment alongside record-level workforce reduction.
EU - Combined Five-Company Snapshot
The five EU-headquartered companies - SAP, Capgemini, Ericsson, ASML, and Nokia - present a more varied picture. Nokia and Ericsson are cutting primarily in response to telecom market softness, with Nokia’s multi-year programme nearing completion and Ericsson’s recovery timeline uncertain. SAP and Capgemini are cutting in response to AI-driven delivery efficiency, with the pace moderated by European labour law. ASML’s modest reduction is an outlier driven by specific semiconductor market dynamics. Combined EU reductions in the covered period total approximately 8,000 to 12,000 formal and managed exits.
UK - Combined Five-Company Snapshot
BT, Vodafone, Capita, Sage, and Computacenter collectively employ approximately 195,000 to 200,000 people in the UK and globally. Across the six-month period, combined formal reductions and managed attrition have produced approximately 6,000 to 9,000 net position reductions. BT’s continued march toward its 2030 headcount target, Vodafone’s ongoing global efficiency programme, and Capita’s financial restructuring are the dominant drivers. Sage and Computacenter are making smaller, more targeted adjustments to their workforce compositions.
The Global Aggregate
Across all twenty companies and all four geographic markets, the layoffs in the six-month period covered by this analysis total approximately 90,000 to 110,000 positions when combining formal announcements, managed attrition, and visible non-backfill headcount reductions. When contextualised within the broader industry (all tech companies globally, not just these twenty), the aggregate six-month impact approaches 200,000 when the full range of tracker methodologies is applied.
These are not abstract numbers. They represent engineers and managers, testers and project coordinators, support agents and business analysts - people whose careers, financial security, and sense of professional identity are being disrupted by forces that none of them individually created and that very few of them individually can stop. Understanding those forces as clearly and honestly as possible is the first requirement for navigating them effectively.
