Big Tech slashes 8,000 roles and shifts payroll to AI spending

On April 23, two of the world’s most profitable technology firms delivered a stark message about where the industry is heading. Meta announced it would eliminate roughly 8,000 jobs, representing 10% of its global workforce, while cancelling 6,000 open positions. On the same day, Microsoft unveiled its first-ever voluntary retirement programme in its 51-year history, offering buyouts to up to 8,750 US employees under a formula requiring age plus years of service to equal 70 or more. Combined, up to 23,000 positions are being removed or left unfilled. Both companies reported record revenues in their most recent quarters. Both are pouring unprecedented sums into artificial intelligence infrastructure. The reductions have nothing to do with financial hardship. They are about reallocating resources from human payroll to machine investment.

The logic behind the cuts is clear. In an internal memo, Meta’s chief people officer, Janelle Gale, explained that the layoffs were “part of our continued effort to run the company more efficiently and to allow us to offset the other investments we’re making.” Those investments are enormous. Meta has guided capital expenditure of $115 billion to $135 billion for 2026, nearly double the $72 billion it spent in 2025, directed almost entirely at data centres, Nvidia GPUs, custom silicon, and infrastructure for its Llama model ecosystem and the newly created Meta Superintelligence Labs. Full-year 2025 revenue reached $201 billion, and fourth-quarter net income alone was $22.8 billion. The company is not cutting because it cannot afford its workforce. It is cutting because it prefers to spend on machines.

Microsoft’s approach is quieter but structurally identical. The “Rule of 70” buyout formula disproportionately targets workers in their fifties and sixties who built the pre-AI Microsoft. Sales incentive plan employees are excluded, and full details will be shared on May 7. CEO Satya Nadella warned in October 2025 that 2026 would be “messy” as the industry moved from AI demonstrations to integration. Second-quarter fiscal 2026 revenue hit $81.3 billion, up 17% year over year, with Azure growing 33% and AI services contributing 16 percentage points of that growth. The voluntary retirement programme is framed as a benefit, but its effect is to accelerate the departure of employees least likely to transition into AI-native roles. Their severance costs are a rounding error against the hundreds of billions committed to data centres, Copilot, and the OpenAI partnership.

The 23,000 positions affected on April 23 are not an isolated event. They are the latest in a growing pattern. Oracle eliminated up to 30,000 roles in March, roughly 18% of its workforce, to redirect $8 billion to $10 billion in annual cash flow toward a $156 billion AI infrastructure buildout. Amazon restructured 16,000 positions. Dell cut 11,000. Snap reduced headcount by 1,000, or 16%. According to industry trackers, more than 96,000 tech workers have lost their jobs in 2026 so far, a 40% increase over the same period in 2025. Oracle posted a 95% jump in net income the quarter before its cuts. The companies doing the firing are not the ones losing money. They are the ones making the most.

Mark Zuckerberg has now cut approximately 25,000 jobs at Meta since 2022. The first two rounds, 11,000 in November 2022 and 10,000 in March 2023, were branded as the “Year of Efficiency” and came after the stock collapsed on metaverse spending and a digital advertising downturn. Those cuts were defensive. The current round is offensive. Meta’s stock is roughly flat year to date because investors already expect the headcount reduction to fund AI acceleration. Bank of America projects $7 billion to $8 billion in annualised savings. Wedbush’s Dan Ives said the company is using AI to “automate tasks that once required large teams.” CNBC’s Jim Cramer called it a “screaming buy.” Earlier rounds in January and March 2026 eliminated approximately 2,200 positions and slashed the Reality Labs budget by 30%, suggesting the April announcement is the culmination of a restructuring underway for months, not a sudden decision.

What separates the Meta and Microsoft announcements is not the logic but the method, and that reveals something about each company’s relationship with its workforce. Meta is firing people. Gale’s memo described the cuts as involuntary and companywide, touching every major business unit. Engineers are being reassigned to a new Applied AI division and a small-business advertising group. The language shifted from January 2025, when Zuckerberg framed cuts as removing “low performers,” to April 2026, when the framing became “contribution” and “efficiency,” acknowledging that the people being let go are not necessarily underperforming. They are in the wrong part of the company. Hours before the layoff memo leaked, Meta awarded its six most senior executives stock options worth up to $921 million each, tied to a $9 trillion market capitalisation target by 2031. At the same time, stock-based compensation for rank-and-file employees was reduced by 5% to 10%.

Microsoft, by contrast, is offering to pay people to leave. The voluntary retirement programme is unprecedented in company history and designed to avoid the reputational damage of mass involuntary layoffs while achieving the same structural outcome. But calling it voluntary obscures the targeting. The Rule of 70 formula means a 55-year-old with 15 years of service qualifies. A 30-year-old with five years does not. The programme selects for age and tenure, not performance, and the divisions most affected, Azure cloud operations, gaming, and global sales, are where automation via Copilot and AI agents is furthest advanced. Microsoft had already tightened performance management throughout 2025, instructing managers to issue 30% more performance improvement plans and barring employees who failed benchmarks from reapplying for two years. The buyout is the softer instrument, following the harder ones.

A survey of 1,000 US hiring managers by Resume.org found that 55% expect layoffs at their companies in 2026, and 44% identified AI as the primary driver. A Motion Recruitment study found that AI adoption is slowing hiring for entry-level and generalised IT roles while creating intense demand for AI specialists. Analysts use the term “AI employment paradox”: companies are simultaneously cutting headcount and investing record sums in AI infrastructure, producing a labour market where aggregate spending rises and aggregate employment falls. Economists quoted by CNBC described the situation as an AI-driven labour crisis that “is here, not coming in the future.” A poll found that 57% of Americans think AI is advancing too fast, and 79% are concerned the government has no plan to protect workers from AI job losses. No legislative or regulatory response has materialised.

The human cost of AI-driven tech layoffs is difficult to measure in aggregate because companies attribute cuts to AI without demonstrating that AI systems have actually absorbed the displaced work. The term “AI-washing” has emerged to describe this pattern: a company announces layoffs, cites its AI strategy in the same breath, and lets investors draw the inference that machines are replacing humans, even when no mature, scalable AI implementation capable of doing so exists. Meta’s new Superintelligence Labs and Meta Compute division exist on paper and in press releases. Whether they can perform the work of 8,000 eliminated employees is a question that will not be answered for years. What can be answered now is where the money is going. Meta is spending $115 billion to $135 billion on AI capital expenditure. Microsoft spent $81 billion in the last fiscal year on capital investment and has committed to spending more. The salaries of the people being cut are a fraction of those figures. The cuts are not funding the AI buildout.

They are a signal that the AI buildout has made the current workforce configuration obsolete in the eyes of management, whether or not the technology has made it obsolete in practice.

Since 2020, nearly 900,000 tech workers have been laid off globally, according to the tracking site Layoffs.fyi. The first wave, in 2022 and 2023, was attributed to the unwinding of pandemic-era hiring. The second wave, in 2024 and 2025, was attributed to restructuring around AI. The third wave, now underway in 2026, no longer needs attribution because the companies are stating the connection explicitly. Oracle said it was cutting jobs to build AI data centres. Meta said it was cutting jobs to offset AI investments. Microsoft structured a buyout programme that selects against the employees least aligned with its AI future. The direction is not ambiguous. The question is whether the substitution is real, meaning AI genuinely performs the work the displaced employees did, or whether it is financial, meaning the companies are converting payroll into capital expenditure because Wall Street rewards the latter more than the former. On April 23, the market offered its answer. Meta’s stock fell 2.3% on the layoff news. It would have fallen further if investors thought the cuts were a sign of weakness rather than a down payment on a thesis they already believe.

Twenty-three thousand positions, eliminated or abandoned in a single day by two of the most profitable companies on earth. The reactor did not change. The spreadsheet did.