Meta began laying off approximately 8,000 employees on May 20, 2026 - 10% of its global workforce - while simultaneously moving 7,000 workers into new AI-focused roles and cancelling 6,000 open positions. The restructuring came three weeks after the company reported Q1 revenue of $56.31 billion and raised its full-year AI infrastructure budget to as much as $145 billion.

Meta just cut 10% of its workforce while posting record profits. Follow Web Snack for daily coverage of how AI spending is reshaping Big Tech and the broader market.

How Meta's $145B Infrastructure Bet Forced a Company-Wide Overhaul

At an employee town hall following Q1 earnings, Zuckerberg framed the trade-off in plain terms: "We basically have two major cost centers in the company: compute infrastructure and people-oriented things." With more capital flowing toward GPUs and data centers, he said, less remains for headcount - and he declined to rule out further cuts later in 2026.

The Q1 results backed the move financially. Revenue hit $56.31 billion, up 33% year-over-year. Net income climbed 61% to $26.8 billion. The company simultaneously raised 2026 capex guidance to $125-145 billion - nearly double the $72.2 billion spent in all of 2025, and more than its 2024 and 2025 totals combined.

This is not the first round of cuts in 2026. Meta trimmed Reality Labs by 10% in January, shutting VR game studios. Another 700 positions went in March across five divisions. May 20 is different in scope: it is company-wide, structural, and explicitly built around an AI rebuild.

14,000 Positions Affected: The Full Scope of Meta's May 20 Round

The headline figure understates the total impact. Meta also cancelled approximately 6,000 open job requisitions the same day, bringing the effective reduction to 14,000 positions. California WARN Act filings confirm 124 cuts at Meta's Burlingame office, effective May 22, and 74 at Sunnyvale, effective May 29.

The 7,000 employees being reassigned are moving into three new units: Applied AI Engineering, Agent Transformation Accelerator, and Central Analytics. Three new job categories rolled out alongside: "AI builder," "AI pod lead," and "AI org lead."

Bank of America estimates the layoffs generate $7-8 billion in annualized savings. The logic is transparent - payroll budgets are being converted into GPU purchases, data center contracts, and AI model training.

What Meta's Salary-to-Infrastructure Swap Means for the Industry

Meta's compensation data shows the gap plainly. Median employee pay fell from $417,400 in 2024 to $388,200 in 2025. The stock portion of raises was cut 5% in February 2026, on top of a 10% reduction the prior year. At the same time, Zuckerberg is recruiting AI researchers for Meta Superintelligence Labs with packages reportedly reaching $100 million.

The infrastructure build is substantial. Meta's Prometheus project - a one-gigawatt AI supercluster in Ohio - is scheduled to come online this year. A $27 billion joint venture with Nebius will add a gigawatt-scale data center campus in Louisiana. Q1 capex alone reached $19.84 billion.

Meta is not alone in this pattern. Cisco announced fewer than 4,000 cuts the same week, also citing AI-driven efficiency gains. Across Alphabet, Amazon, Meta, and Microsoft, combined 2026 capex is now projected to exceed $700 billion.

August Is Next: Meta's Layoff Timeline and What Comes After

Zuckerberg declined to rule out further reductions at the town hall. Multiple reports indicate another layoff round is planned for August 2026, with an additional wave expected later in the year. Earlier reporting suggested the total workforce reduction could reach 20%.

In April 2026, Meta deployed "Model Capability Initiative" software on U.S. employee laptops. The tool tracks mouse movements, keystrokes, and periodic screen snapshots; Meta says the data trains AI systems to replicate how employees perform digital tasks. More than 1,000 employees have signed internal petitions against the monitoring.

CFO Susan Li told investors she could not predict the company's optimal long-term workforce size given how fast AI capabilities are changing. Performance reviews now include whether employees actively use AI tools.

The next Meta layoff round is expected in August. Stay ahead of it with Web Snack's daily briefing on AI, markets, and corporate strategy.

P.S. This article is for informational purposes only and does not constitute investment advice. Always conduct your own research and make independent decisions.