Oracle, Meta, Block Among Tech Firms Citing AI for Layoffs

The companies on TechCrunch's running layoff list are not struggling. Oracle cut 21,000 workers over twelve months, a 13% workforce reduction, while reporting $3.7 billion in quarterly net income, up 27% year-over-year. Cloudflare eliminated 20% of its workforce during a record quarter in which revenue rose 34%. Block dropped from over 10,000 employees to under 6,000, a nearly 50% reduction. The common thread across Oracle, Meta, Cisco, GitLab, Snap, PayPal, Intuit, and others is that cuts are happening alongside growth, and AI is the stated reason.

The justifications range from the tactical to the philosophical. Cloudflare's CEO Matthew Prince identified the eliminated roles as "measurers," a category encompassing middle management, finance, and legal. Jack Dorsey described "intelligence tools...paired with smaller and flatter teams" as something that "fundamentally changes what it means to build and run a company." GitLab CEO Bill Staples cited "100x growth requirements" for agent-scale workloads when announcing a 14% staff reduction the company projected would cost $30-35 million in restructuring charges. Coinbase CEO Brian Armstrong said "engineers use AI to ship in days what used to take a team weeks," announcing 700 cuts alongside organizational flattening to five layers below CEO and COO.

A few specifics complicate the clean efficiency story. General Motors cut 500-600 IT jobs while leaving 80 IT positions, including AI and autonomous vehicle roles, unfilled. IBM has eliminated more than 15,000 U.S. positions since September 2024, including 200 HR roles replaced by AI agents, while simultaneously announcing plans to triple entry-level hiring in AI and hybrid cloud. Outplacement firm Challenger, Gray & Christmas recorded May 2026 as the highest single-month tech layoff count in years, with AI cited as the most common reason, though the article also notes that pandemic-era over-hiring may be a factor in the numbers.

What the reporting does not resolve is whether the productivity gains companies are banking on are realized or merely anticipated. Companies are making permanent cuts based on what they expect AI to deliver, and that distinction matters if expectations run ahead of what the tools actually do.

The clearest beneficiaries right now are workers whose profiles align with what is being built rather than what is being maintained. Meta moved 7,000 employees into AI-focused roles even as it cut 8,000 others. IBM plans to triple entry-level AI and hybrid-cloud hiring. The cuts are landing heaviest on operations, support, and middle management, the roles companies are betting AI agents will absorb first.