Oracle has cut roughly 18% of its global workforce. But the real story is bigger — over 70 tech companies are quietly redirecting hundreds of billions toward AI while showing the door to the people who built them.
By NIRENDRA DEV
New Delhi, April 2, 2026 — At 6am, the email arrived. For nearly 12,000 Oracle employees in India — out of a local workforce of around 30,000 — it was the end of their jobs. Globally, the cuts are estimated at close to 30,000 positions, approximately 18% of Oracle’s total headcount of 162,000 as of May 2025.
Oracle declined to comment. Its stock is down 25% this year, a steeper fall than any of tech’s megacaps.
The company, chaired by Trump ally Larry Ellison, has been leaning on debt markets to fund an aggressive push into AI infrastructure — building data centres capable of handling AI workloads to compete with larger cloud rivals including Amazon. The layoffs are, in part, a signal to investors that the bet will pay off.
India is among the worst-hit nations in the restructuring.
$650 BILLION AND A DISAPPEARING WORKFORCE
Oracle’s cuts are not an isolated event. More than 70 tech companies have shed approximately 40,480 jobs so far in 2026, according to current tracking data. The stated reason, with increasing frequency, is artificial intelligence.
Amazon, Meta, Google, and Microsoft are collectively planning to invest $650 billion — roughly £485 billion — into AI infrastructure by 2027. Demand for both GPU and CPU capacity continues to outpace supply. For regular employees, that capital reallocation has a cost.
Meta is planning what reports describe as the largest layoffs in its history, potentially cutting over 15,000 employees — 20% or more of its approximately 79,000-strong workforce. “I think that 2026 is going to be the year that AI starts to dramatically change the way that we work,” Meta chief Mark Zuckerberg said in January.
Jack Dorsey, who leads financial technology firm Block — operator of CashApp, Square, and Tidal — has been among the most explicit. Announcing that his company would shed close to half its workforce, he told shareholders in February: “Intelligence tools have changed what it means to build and run a company. A significantly smaller team, using the tools we’re building, can do more and do it better.”
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THE WARNING SIGNS MOST WORKERS MISS
Layoffs rarely begin on the day the email arrives. They begin much earlier — without announcement, without fanfare, and often without anyone connecting the dots until it is too late.
The first signal is typically a hiring freeze. Roles are listed but never filled. Teams are told to manage with existing resources.
Next come the silent projects — work that slows, meetings that get cancelled, priorities that shift without explanation. Role overlap is another indicator. When two people are performing similar functions, one of those positions is already under review.
The subtler signs are harder to name: fewer one-on-one meetings with a manager, feedback that feels vague or non-committal, a drop in visibility despite unchanged performance.
Many companies are now reducing headcount without formal announcements. Contracts are not renewed. Teams are restructured quietly. Performance review standards tighten, nudging some employees out the door without the act ever being called a layoff.
THE INVISIBLE LAYOFF
This is what labour market watchers are increasingly calling the invisible layoff. It does not appear in headlines or regulatory filings. It shows up in smaller signals: a colleague who leaves and is not replaced, a project discontinued without explanation, a team that quietly shrinks over months.
The phenomenon is not new. Tech layoffs have been rolling since 2022 — a correction of pandemic-era over-hiring compounded by geopolitical and macroeconomic pressure. AI is, for many analysts, a convenient framing for restructuring that was already underway.
As one reading of the current moment goes: AI is a “nice, convenient story” that organisations use to dress up broader shifts in operating models. The drivers are multiple — post-Covid headcount corrections, rising interest rates, investor pressure for margin discipline, and genuine automation of certain task categories.
The AI narrative, however, is not entirely cover. The structural shift is real. The question for workers is how to distinguish between cyclical correction and permanent displacement — and how to act before the 6am email lands.
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