TL; DR
Meta will begin cutting 8,000 jobs on May 20, while reporting record quarterly revenue of $56.31 billion as it ramps up AI infrastructure spending to $145 billion in 2026.
Meta will start On May 20, about 8,000 jobs were cutIt’s the company’s biggest single round of layoffs since its 2023 restructuring, in a move that underlines the scale of Mark Zuckerberg’s claim that its AI infrastructure is worth more than the people it replaces. The company is also eliminating 6,000 open requisitions, bringing the effective headcount reduction to 14,000 positions.
The layoffs occur during periods of record financial performance, not during recessions. Meta reported Q1 2026 revenue of $56.31 billion and net income of $26.8 billion. Full-year 2025 revenue was $201 billion, up 22 percent year-over-year, with free cash flow of $43.6 billion. A company isn’t shrinking because it’s struggling. It’s shrinking because it’s decided that the return on AI infrastructure is greater than the return on human labor, and it’s turning one into the other on a scale no tech company has attempted before.
Financial arithmetic
Meta raised its 2026 capex guidance to $125 billion to $145 billion from $72.2 billion in 2025 and $39.2 billion in 2024. Almost all of the growth was focused on data centers, Nvidia GPUs, custom silicon, and enterprise systems support and infrastructure models. In the first quarter alone, Meta added $107 billion in new contract commitments for cloud and infrastructure deals and committed $27 billion to a joint venture with Nebius for a one-gigawatt-scale AI data center campus in Louisiana.
Bank of America estimates that the layoffs could generate $7 billion to $8 billion in annual savings, part of a capital spending plan but a significant contribution to operating margins that CFO Susan Lee has vowed to protect. Lee told investors during the Q1 earnings call that he believes the company’s leaner operating model will allow it to move faster while helping offset infrastructure investments. He also admitted that executives “don’t really know what the optimal size of the company will be in the future,” a remarkable admission from a CFO whose company reported record revenues at the same time.
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The score is clear: Meta spends more in one year on its AI infrastructure than the combined annual revenue of most Fortune 500 companies, and it finances some of that spending by eliminating the jobs of the people who helped build the profitable business in the first place.
What happens inside the company
The financial situation for reconstruction is suitable. He has very little human experience. Meta’s record quarterly results was reported three weeks before the layoff notices were scheduled to go out in what workers and industry observers described as a particularly corrosive form of corporate dissonance.
Zuckerberg held a company-wide town hall on April 30 to directly address the layoffs. He made one thing clear: AI tools were not causing job losses. “Forcing everyone to use AI tools internally and get things done more efficiently is not what drives the layoffs,” he said. But he didn’t identify what was driving them, and the silence raised concerns within the company.
At the same time, Meta is reducing compensation for the broader workforce and dramatically increasing it for AI researchers. Median total compensation at Meta fell from $417,400 in 2024 to $388,200 in 2025. Stocks’ share of annual gains fell 5 percent in February 2026, on top of a 10 percent decline a year earlier. At the same time, Zuckerberg is personally hiring AI researchers, with compensation packages reaching $100 million for employees at Meta Superintelligence Labs, a unit he launched last year under former Scale AI CEO Alexander Wang.
The gap between these two realities, declining pay for most workers and nine-figure packages for a select few, has created what multiple reports describe as a climate of resignation. Employees have set up at least three countdown websites that track the days leading up to May 20, one of which has the headline “The Big Beautiful Layoff.” Data from Blind, an anonymous professional network that requires verification of work email, shows that Meta’s overall employee rating is down 25 percent from its peak in Q2 2024, and its culture rating is down 39 percent. In all categories except compensation, Meta now underperforms Amazon, Google and Netflix.
Control question
Boosting the mood is a program called the Model Capability Initiative that Meta put on the work laptops of US employees in April. The program captures mouse movements, clicks, keystrokes and screenshots for a specific set of applications. Meta said the data is used to teach AI agents how humans operate the software, rather than as a general control tool. Employees of several US offices responded with visible protestdistribution of flyers describing the program as an “Employee Data Extraction Factory” and referencing the National Labor Relations Act. Employees described the tool as “dystopian” and created an online petition urging Zuckerberg to shut it down, with some reporting that their work computers slowed down noticeably after installing the software.
The objection is not only about privacy. Here’s what it means: Meta is asking its remaining employees to create training data that will teach AI systems to replicate the computer usage patterns of eliminated roles. The program may have been a legitimate research initiative, but its timing, just weeks before massive layoffs, made it impossible for workers to read it as anything more than a preview of their attrition.
An example of reconstruction
Including the May round, Zuckerberg has now overseen nearly 33,000 job cuts through 2022. The cuts in 2022 corrected over-hiring during the pandemic. The 2023 round was rated as the “year of efficiency”. At the beginning of 2025, the cuts were introduced as performance management. The cuts were targeted in January and March 2026, eliminating about 1,700 employees from Reality Labs, recruiting and other divisions. May’s round is different: it’s a company-wide restructuring that touches every major business unit, with teams reorganized into AI-focused “pods” under Wang’s Superintelligence Labs division.
More layoffs are expected this year, including a potential tour in August and another in the fall, according to people with knowledge of the plans. Previous reports suggested that the overall reduction could eventually reach 20 percent of the workforce.
Meta is not alone in turning wages into AI capital expenditures. Microsoft announced its first voluntary retirement program the same week, offering to buy out about 7 percent of its U.S. workforce. Oracle cut about 30,000 jobs in March. Amazon eliminated 16,000 corporate roles in the first quarter. According to Layoffs.fyi, about 110,000 jobs will be lost at 137 companies by 2026 in the technology sector, after about 125,000 layoffs in all of 2025.
Bet
The theory behind Meta’s restructuring is that a smaller number of highly talented people working together with powerful artificial intelligence systems can do the jobs previously required of entire departments. Zuckerberg described his vision as developing AI-powered products that would constitute a kind of “personal superintelligence” for billions of users. The Superintelligence Labs division, AI-focused pods, and massive infrastructure spending are all geared toward this goal.
Whether the bet pays off depends on whether Meta’s $100 billion-plus-a-year AI systems can generate enough additional revenue through improved ad targeting, content recommendations and new AI-powered products to justify both the infrastructure costs and the loss of institutional knowledge that comes with eliminating 10% of work in a month.
The human cost of the tech industry’s AI revolution not evenly distributed. The roles being eliminated at Meta are concentrated in recruiting, sales, middle management and non-AI-adjacent product work, too wide for incremental retraining to bridge the gap between what employees currently do and the skills the company needs now. With salaries of $62,000 for entry-level positions and $240,000 or more for senior AI researchers, the roles the company is actively hiring for are almost entirely in machine learning, infrastructure engineering, computer vision and natural language processing.
Zuckerberg has experienced this before. The 2023 efficiency program, which resulted in 21,000 job cuts in two waves, was followed by a period of exceptional financial performance that silenced critics and sent shares to record highs. This time, the market has been less forgiving: Meta’s shares are down about 7 percent year-to-date, underperforming all megacap peers except Microsoft. A larger sample of Big Tech in 2026 suggests that investors are rewarding the same playbook at every company that adopts it: cut headcount, channel savings into AI infrastructure, and let the stock price validate the decision.
For the 8,000 people who received a notification this week, someone else will have the verification. For Zuckerberg, the question is whether personal superintelligence, a product that doesn’t yet exist, can justify a restructuring whose costs are immediate, measurable, and borne by people who have done nothing wrong other than work in roles the algorithm has yet to learn to perform.
