The AI Effect Or Just A Cover: What’s Behind Big Tech Layoffs This Year?

AI was supposed to change how we work, boosting efficiency and giving a fillip to human expertise. Instead, something unsettling has begun to unfold. The apprehension that AI would one day throw people out of their jobs has arrived way too early, with thousands of big tech employees waking up to early-morning emails: “Unfortunately, your role has become redundant in a company-wide restructuring effort.”

That’s what’s happening at large tech companies, and technology giant Oracle is just one case in point. Recently, the company laid off 30,000 employees globally. In the final week of March itself, as many as 10,000 employees (across divisions, including cloud and engineering teams) reportedly woke up to an early morning email informing them that their roles had been eliminated, placing them on an immediate notice period, or garden leave, in Oracle’s lingo.

The news has once again sparked the debate that workforce reductions are directly tied to the unabated rise of AI. As far as Oracle is concerned, the reason behind job cuts is tied to its growing investments in this space. 

Sources privy to the development told Inc42 that Oracle’s India Development Center (IDC) alone may have seen up to 4,000 layoffs last week. Meanwhile, employees in the Oracle Financial Services Software (OFSS) division reportedly lost access to internal systems on April 1 and 2, retaining only email access before receiving formal termination notices and being placed on immediate two-month garden leave.

Oracle India employs over 50,000 people out of its global workforce of 1,60,000+. According to a termination email reviewed by Inc42, affected employees are being offered severance packages that include 15 days’ salary for every completed year of service, two months of paid garden leave, along with gratuity and leave encashment.

Job Cuts Fuel Future AI Ambitions 

At the heart of Oracle’s layoffs is an aggressive push toward AI and cloud infrastructure. The company is reallocating capital from legacy operations and support roles to high-cost AI investments, including large-scale data centres and advanced compute capacity.

Oracle is expected to spend up to $533 Bn on AI infrastructure to meet its remaining performance obligations, which is essentially the compute capacity required to fulfil customer contracts. 

From a people-heavy operations model, it is moving to become an infrastructure company, as is evident in its projected revenue for the next few years.

To fund this, the company is also planning to raise between $45 Bn and $50 Bn in 2026 through a mix of stock sales and debt. Notably, OpenAI, Softbank, Oracle, and MGX initiated a massive $500 Bn AI infrastructure mission, called Project Stargate, in 2025. 

The recent layoffs reflect a broader cost-optimisation strategy, trimming slower-growth areas to fund high-priority AI initiatives while maintaining margins and staying competitive in an increasingly AI-driven market.

Oracle is not the only one that is laying off to boost investments in AI. Amazon let go of 16,000 workers at the start of the year, culling employees from multiple divisions, including AWS.

Meta is said to be close to laying off more than 15,000 employees as it looks to rely more on AI agents and an AI-assisted workforce.

Atlassian recently announced a 10% workforce reduction to double down on AI and enterprise sales, with its CEO acknowledging that AI is reshaping skill requirements. 

Block, led by Twitter founder Jack Dorsey, reportedly cut up to 40% of its workforce, citing efficiency gains, with Dorsey predicting that most companies will follow a similar path within a year.

This could very well be the beginning of a new wave of layoffs in Big Tech and we are likely to see a lot more such action from large employers in the near future. Analysts argue that the current wave of layoffs is less about AI replacing jobs today and more about funding tomorrow’s capabilities.

According to Greyhound Research, enterprises are entering a phase of unprecedented capital intensity. Investments in AI infrastructure, specialised talent, data engineering, governance, and system integration are significant, immediate, and ongoing. Yet, returns are neither instant nor guaranteed, creating a structural imbalance. 

Companies must invest heavily in future capabilities while maintaining present-day financial discipline. The quickest lever to pull is headcount reduction.

“Layoffs, by contrast, are one of the most flexible levers available to management. They can be executed quickly and adjusted relatively easily. This creates a dynamic where organisations use workforce reduction to relieve short-term pressure while absorbing a long-term increase in capital and operating expenditure,” said Sanchit Vir Gogia, CEO of Greyhound Research

He added that organisations are cutting roles not because AI has already replaced them end-to-end, but because they anticipate a future where fewer employees will be needed once AI systems mature and workflows are re-engineered.

Using AI As A Smokescreen?

Investor Marc Andreessen recently called AI a ‘silver-bullet excuse’ for workforce reductions. He argues that many companies are simply correcting for pandemic-era overhiring, with some still overstaffed by as much as 25% to 75%.

This has given rise to the term AI washing, where companies attribute layoffs to AI to justify cuts driven by restructuring, cost pressures, or overexpansion, while also signalling technological progress to investors. 

“Many companies announcing AI-related layoffs do not have mature, vetted AI applications ready to fill those roles, highlighting a trend of ‘AI washing’, which is attributing financially motivated cuts to future AI implementation,” research firm Forrester’s January report cites.

While AI-driven disruption is real and growing, experts suggest that many of the layoffs in 2026 aren’t due to immediate automation. Another reason could be narrative setting.

Pareek Jain, the cofounder and CEO of consulting firm EIIRTrends believes that many of the companies announcing layoffs are also the biggest sellers of AI. 

“They need to demonstrate that AI is driving real productivity gains and they can do more with fewer people. In a way, they have to eat their own dog food to validate the promise of AI to customers and investors alike,” Jain added.

All in all, the ongoing churn at the tech giant is not about AI replacing humans but about companies reshaping their cost structures to fund an expensive, uncertain transition to an AI-first future. 

As companies pour billions into infrastructure and compute capacity, cutting headcount has emerged as the fastest way to protect margins while freeing up capital. The result? Layoffs are being framed as AI-driven disruption, even as most companies are still years away from realising meaningful productivity gains.

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