120,000 tech jobs cut in 2026 as AI drives Big Tech's reset; India's IT could be next
Global technology layoffs are resurfacing in 2026, driven by artificial intelligence adoption. Companies are restructuring teams and automating tasks, even while reporting strong revenues. India's IT sector faces potential job losses as companies ...

The trigger is no longer slowing demand or over-hiring during Covid. Instead, artificial intelligence (AI) has become the common thread linking layoffs across Silicon Valley, with companies restructuring teams, flattening management layers and automating routine work even as they report record revenues and pour billions into AI.
Also Read: 35,000 tech roles on the chopping block as AI takes the wheel at IT
Microsoft this week became the latest tech giant to announce fresh layoffs, eliminating around 4,800 jobs, or about 2.1% of its global workforce. The company maintained the roles were "not being replaced by AI", but also acknowledged that AI is changing how work gets done and automating many everyday tasks.
It joins a growing list of companies — including Oracle, Meta, Cisco, Amazon, Cloudflare, Dell, Snap and PayPal — that have carried out thousands of job cuts this year while simultaneously doubling down on AI investments.
Now, the ripple effects are beginning to show up in India.
India's IT sector could lose up to 35,000 jobs this year
India's $315-billion technology and software services industry could eliminate 25,000-35,000 jobs this year, according to estimates cited by ETTech.
Unlike last year, however, these layoffs are not being announced with press releases or earnings calls.
The trend is already visible in hiring numbers. The combined headcount of India's five largest IT firms — TCS, Infosys, HCLTech, Wipro and Tech Mahindra — fell by 7,389 employees in FY26, reversing the modest gains seen a year earlier. TCS alone reduced its workforce by more than 23,000 employees, while Infosys added around 5,000.
The reason isn't weak demand anymore
If 2025 was about correcting over-hiring during the pandemic, 2026 is increasingly about redesigning organisations for the AI era.
According to TeamLease, companies are now targeting duplicated roles, redundant functions and bloated management structures instead of carrying out sweeping workforce reductions.
Demand is simultaneously shifting towards AI, cloud computing, cybersecurity, platform engineering and specialised engineering work, while routine and easily automatable functions are coming under increasing pressure.
"The workforce reductions we are seeing are mainly due to companies reshaping how they operate," Aditya Narayan Mishra, managing director and chief executive of CIEL HR Services, told ETTech.
Former Accenture India managing director Satish Viswanathan told the publication that companies are changing much more than just technology, they are redesigning their organisational structures, pricing models, learning strategies and overall workforce mix.
Big Tech is cutting jobs even as revenues rise
One of the defining features of the current layoff cycle is that many companies announcing job cuts are not struggling financially.
Microsoft announced around 4,800 layoffs while continuing to invest heavily in AI infrastructure.
Also Read: Microsoft layoffs: Here's the severance package employees are getting after latest job cuts
Oracle disclosed in its annual regulatory filing that it had reduced its workforce by around 21,000 employees over the past 12 months, saying the adoption and deployment of AI technologies had resulted — and could continue to result — in workforce reductions.
Meta laid off around 8,000 employees, or roughly 10% of its workforce, while simultaneously moving about 7,000 employees into AI-focused roles as part of a broader organisational overhaul, according to an internal memo reported by Reuters.
Cisco announced nearly 4,000 job cuts despite posting record quarterly revenue, saying the restructuring was aimed at reallocating resources towards silicon, networking, security and AI.
Cloudflare also reduced around 20% of its workforce despite reporting its strongest quarter ever. In an opinion piece published in The Wall Street Journal, CEO Matthew Prince argued that AI would increasingly automate "measurer" roles—including finance, legal, compliance and middle management—while allowing companies to hire more engineers and customer-facing employees.
Amazon, Dell, Snap and PayPal have also announced layoffs or restructuring measures this year as they accelerate AI adoption across their businesses.
Fresh graduates are already feeling the impact
The changing hiring strategy is beginning to show up on college campuses as well.
According to a recent Mint report, at least four major technology companies — TCS, Cognizant, Accenture and Oracle — have either delayed onboarding fresh engineering graduates or withdrawn job offers altogether.
Mint, citing candidates, placement officials and company communications, reported that some TCS and Cognizant recruits who cleared hiring processes months ago are still waiting for joining dates, with companies citing business requirements and project demand.
In Accenture's case, candidates who had already cleared final interviews were informed that the roles they had interviewed for were no longer being recruited.
Oracle, meanwhile, reportedly withdrew offers made to students from engineering colleges after internships, describing the move as arising from "unavoidable circumstances".
Placement officials told Mint that delayed onboarding has become increasingly common over the past few years, prompting many students to prefer product companies over traditional IT services firms.
The jobs aren't disappearing, they're changing
While routine and repetitive roles are coming under pressure, demand continues to remain strong for professionals with expertise in AI, cloud, cybersecurity, data engineering and platform engineering.
For India's technology workforce, the challenge may therefore be less about surviving another layoff cycle and more about adapting to an industry where revenue growth is no longer tied to adding more employees, but increasingly to getting more output from fewer people using AI.
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