The chill in the global tech job market has not lifted in 2026; if anything, it has become sharper and more deliberate. Major technology companies across the US, Europe and India are no longer blaming only “macro headwinds” or pandemic hangovers. Instead, they are openly restructuring around profitability, automation and artificial intelligence, even as revenues stabilise or, in some cases, continue to rise.
From Big Tech names like Amazon, Microsoft and Meta to Indian IT giants such as TCS, Infosys and Wipro, thousands of white-collar jobs have disappeared in the last two years, with more cuts signalled. The message from boardrooms is clear: leaner teams, AI‑assisted operations and higher productivity per employee are now strategic goals, not optional experiments.
So what exactly is happening in tech employment, and what does it mean for workers, especially in countries like India that built entire middle-class dreams on IT and software careers?
A Second Wave Of Global Tech Layoffs
After the brutal rounds of job cuts in 2022–23, many expected hiring to bounce back once interest rates cooled and demand stabilised. Instead, 2025 and early 2026 have brought what looks like a second, more structural wave of layoffs.
Several large firms have made deep cuts:
Amazon has announced about 16,000 layoffs in 2026 so far, and nearly 30,000 if late‑2025 cuts are included.
Payments company Block is slashing roughly 4,000 roles, close to 40% of its workforce.
Atlassian has let go of about 1,600 employees, or around 10% of its staff.
Meta has cut around 1,500 roles this year, with internal plans suggesting total reductions could go much higher.
Oracle is reportedly considering 20,000–30,000 job cuts as it pushes aggressively into cloud and AI infrastructure.
These moves follow large 2025 layoffs across names like Google, Microsoft, Amazon, and TikTok, which collectively affected tens of thousands of employees worldwide. Microsoft alone laid off about 9,000 people in 2025, bringing the total number of layoffs that year to about 15,000. This was even though the company was doubling down on AI partnerships and cloud services. It’s not just the number of layoffs that are interesting right now, but also the reasons for them. Companies are increasingly saying that these layoffs are part of a “reset” of their business model, which means fewer levels of management, merging teams that do the same job, using AI tools to automate routine tasks, and focusing more on profitable, strategic lines of business. This is no longer just crisis management; it’s a planned redesign of how tech companies want to do business. AI and automation have gone from buzzwords to justifications. A few years ago, AI was mostly a buzzword used in earnings calls. Today, it has become a central part of how companies justify both investment and job cuts.
A recent analysis suggests that over the next two to three years, around 50–55% of jobs in the US could be materially reshaped by AI — not necessarily eliminated, but significantly changed in terms of how work is done and what is expected from employees. Only about 12% of current roles are estimated to be in the category where AI directly substitutes human labour and leads to net job losses, yet even that slice represents millions of workers.
Other projections are even starker: one study estimates that AI could automate tasks equivalent to 300 million full‑time jobs globally, with around a quarter of all work in advanced economies potentially performed entirely by AI tools. At the same time, the same analysis argues that AI could boost global output by about 7% over time by driving a productivity surge.
In boardrooms, those numbers translate into a powerful narrative:
Routine, repetitive and rules‑based tasks are increasingly seen as automation targets.
Entry‑level and back‑office roles in functions like IT support, customer service, content moderation and internal operations are under the most pressure.
Higher‑skilled coordination, system design, product strategy and complex problem‑solving roles are being protected or even expanded.
For example, AI systems can now resolve a large chunk of basic IT support tickets, run diagnostics and propose fixes, reducing the need for large frontline helpdesk teams. However, the same shift increases demand for people who can design, oversee and secure these AI‑driven systems.
This is the paradox at the heart of today’s layoffs: companies are cutting thousands of jobs while simultaneously insisting they will hire aggressively in areas such as AI engineering, cloud architecture, cybersecurity and data science.
India’s IT Employment Model Under Strain
The impact of this restructuring is particularly visible in India, which has long served as a global back‑office and development hub for the technology industry.
In just the last two years, the top four Indian IT firms have cut more than 42,000 jobs between them, even as many continue to report healthy revenues. TCS alone trimmed about 12,000 roles — roughly 2% of its workforce — under what it described as an effort to become “future‑ready and agile.” Infosys laid off around 25,994 employees in FY24, citing “workforce optimisation amid volatile demand,” while Wipro removed over 24,000 roles to improve cost efficiency and productivity.
By early 2026, hiring at the biggest Indian IT companies has slowed to a crawl. Across the top five players, net hiring in the first nine months of FY25–26 was just 17 employees. In one quarter alone, their combined headcount actually fell by more than 2,100, with TCS registering a sharp reduction of over 11,000 employees.
At the same time, global giants like Amazon, Microsoft and Oracle are also trimming staff in their Indian units as part of broader worldwide cuts. According to reports, Amazon’s latest global round of about 16,000 layoffs is likely to affect 500–700 roles in India, including in AWS and retail teams.
For a generation of Indian graduates who saw IT services as a stable path to the middle class, this is a jarring shift. The old model — large campus intakes, lengthy training, then deployment on overseas client projects — is being questioned as AI tools take over basic coding, testing and support tasks.
A former fund manager described it bluntly: India’s IT employment model “just broke,” as companies simultaneously grow revenue while shrinking headcount.
Why Profitability Now Trumps Hypergrowth
One of the deeper drivers of these layoffs is the end of the “growth at any cost” era. For much of the 2010s and the pandemic boom years, tech companies were rewarded for rapid user and revenue growth, even if profits were thin. Cheap capital allowed them to build large teams, launch experimental divisions and tolerate inefficiencies.
That environment has changed. With higher interest rates, investor patience has shortened. Markets are rewarding:
Clear profitability
Strong free cash flow
Higher revenue per employee
Tech firms have responded by aggressively pruning businesses viewed as non‑core, unprofitable or duplicative. Year‑end reviews of 2025 highlighted how giants from e‑commerce to social media used the cover of “macro uncertainty” to cut thousands of roles while refocusing on AI‑driven products and paid services.
Many companies now explicitly link their restructuring to AI. The argument is simple: if AI can do certain tasks faster, cheaper and at scale, then keeping large human teams for the same work is no longer defensible to shareholders. That logic may sound clinical, but it is increasingly common in earnings calls and internal memos.
This shift is also visible in how companies describe their workplace aspirations — leaner organisations, faster decision‑making and fewer managerial layers. In that vision, automation and AI are not just tools; they are core to how the business is designed.
Winners, Losers And The Great Reskilling Race
The big question, of course, is what happens to workers whose roles are being automated, merged or moved. Will they find better opportunities, or will a large segment of white‑collar professionals be left behind?
Analysts stress that most jobs are more likely to be reshaped than fully eliminated. Tasks within roles will change, with AI handling the repetitive, standardised work and humans focusing on judgment, creativity and complex interactions. That vision sounds optimistic, but it assumes one crucial condition: large‑scale upskilling.
To stay relevant in this new landscape, workers across levels will need to:
Gain at least basic AI literacy — understanding how tools work, where they fail and how to use them safely.
Learn to work alongside AI systems, treating them as collaborators rather than black boxes or threats.
Move up the value chain into roles that require problem‑solving, cross‑functional thinking and client‑facing skills.
Company leaders, too, face a serious test. Research suggests that managing the transition will require a clear strategy for reskilling, redesigned career paths and thoughtful handling of workers whose roles are most at risk. Without that, the promise that “AI will create more jobs than it destroys” could ring hollow for those watching their teams disappear.
In India, this reskilling challenge is even sharper, because many IT jobs were built around highly standardised processes and repeatable tasks — exactly the areas AI targets first. For employees who joined on the assumption of long‑term stability, being told mid‑career to “reinvent yourself for AI” can feel both unfair and overwhelming.
Have employers and governments invested enough in training, or has the pace of adoption simply outstripped the support available?
Tech Layoffs 2026: How Profit, AI And “Efficiency” Are Rewriting The Global Job Market
