Meta begins cutting 8,000 jobs this week as record profits fund a $145 billion AI infrastructure bet

At a glance:

• Meta starts 8,000 job cuts on May 20, cancelling 6,000 open roles, as part of a strategic shift to AI-driven efficiency.
• The company reports record Q1 revenue of $56.31 billion and net income of $26.8 billion, raising 2026 AI infrastructure spending to $125-145 billion.
• Employee morale plummets due to surveillance software, compensation cuts, and fears of obsolescence amid AI-focused restructuring.

Financial Foundation: Record Profits Fuel AI Bet

Meta's first-quarter 2026 revenue hit $56.31 billion, with net income of $26.8 billion, marking record performance. Full-year 2025 revenue was $201 billion, up 22% year over year, and free cash flow reached $43.6 billion. Despite this, the company is slashing jobs to fund an unprecedented AI infrastructure build-out. Capital expenditure guidance for 2026 has been raised to between $125 billion and $145 billion, up from $72.2 billion in 2025 and $39.2 billion in 2024. Nearly all the increase is allocated to data centres, Nvidia GPUs, custom silicon, and infrastructure for the Llama model ecosystem and recommendation systems. In the first quarter alone, Meta added $107 billion in new contractual commitments for cloud and infrastructure deals, including a $27 billion joint venture with Nebius for a gigawatt-scale AI data centre campus in Louisiana.

The Human Cost: Layoffs and Internal Unrest

Meta will begin cutting approximately 8,000 jobs on 20 May, the largest single round since its 2023 restructuring, and cancelling 6,000 open requisitions, effective a reduction of 14,000 positions. This comes as employee morale has cratered, with internal protests over surveillance software, declining compensation, and expectations of further layoffs through autumn. The cuts arrive during a period of record financial performance, not a downturn, highlighting Meta's decision that AI infrastructure returns exceed human labour returns. Zuckerberg has overseen about 33,000 job eliminations since 2022, with the May round being a company-wide structural reorganisation touching every major business unit. More layoffs are expected in 2026, potentially reaching 20% of the workforce, according to people with knowledge of the plans.

Surveillance and Data Extraction: The Model Capability Initiative

Compounding the mood is the Model Capability Initiative, deployed in April on US employees' work laptops. It captures mouse movements, clicks, keystrokes, and screenshots across designated work applications to train AI agents. Meta claims it's for research, not general surveillance, but employees have protested, calling it an "Employee Data Extraction Factory" and citing National Labour Relations Act concerns. The timing—weeks before mass layoffs—has made it seem like a preview of obsolescence. Workers have built at least three countdown websites tracking the days until 20 May, one with the header "Big Beautiful Layoff." Data from Blind shows Meta's overall employee rating has declined 25% from its peak in the second quarter of 2024, with a 39% drop in its culture rating.

Strategic Realignment: From Headcount to AI Pods

Including the May round, Zuckerberg has now overseen the elimination of roughly 33,000 positions since 2022. The 2022 cuts corrected pandemic-era over-hiring, the 2023 round was framed as a "year of efficiency," and early 2025 cuts were performance management. The January and March 2026 reductions removed about 1,700 employees from Reality Labs, recruiting, and other divisions, but the May round is different: it is a company-wide structural reorganisation that reconstitutes teams into AI-focused "pods" under Alexandr Wang's Superintelligence Labs division. Meta is not alone in converting payroll into AI capital expenditure; Microsoft announced a voluntary retirement programme, Oracle cut an estimated 30,000 employees, and Amazon eliminated 16,000 corporate roles in Q1 2026. Across the tech sector, almost 110,000 jobs have been lost at 137 companies so far in 2026, according to Layoffs.fyi.

Industry-Wide Trend: Tech's AI Pivot

Meta's bet reflects a broader industry trend where companies redirect savings from job cuts to AI infrastructure. Investors are rewarding this playbook: cut headcount, boost AI spending, and let stock prices validate the decision. However, Meta's stock is down roughly 7% year to date, underperforming every megacap peer except Microsoft. The human cost is unevenly distributed, with roles in recruiting, sales, middle management, and non-AI-adjacent product work being eliminated, while hiring for AI researchers continues at salaries between $62,000 for entry-level and $240,000 or more for senior scientists. Zuckerberg has described the vision as developing AI-powered products that amount to a kind of "personal superintelligence" for billions of users.

The Bet's Viability: Can AI Outperform Humans?

Whether Meta's $100 billion+ annual AI investment pays off depends on whether its AI systems can generate enough incremental revenue through improved advertising targeting, content recommendations, and new AI products to justify both the infrastructure spending and the loss of institutional knowledge. The theory is that a smaller number of highly talented people working alongside powerful AI systems can accomplish what previously required entire departments. For the 8,000 people receiving notifications this week, the validation will be someone else's. For Zuckerberg, the question is whether personal superintelligence, a product that does not yet exist, can justify a restructuring whose costs are immediate, measurable, and borne by people who did nothing wrong except work in roles that an algorithm has not yet learned to perform.