The tech industry eliminated 78,557 jobs in the first quarter of 2026. Companies attributed approximately 48% of those cuts explicitly to artificial intelligence — the first quarter in which AI attribution reached this scale in layoff disclosure documentation. [1]

The daily rate: 936 workers per day, every day from January 1 through April 1.

That number comes from RationalFX analysis of layoff disclosures across the sector. The methodology captures companies that explicitly named AI adoption, automation, or workflow restructuring driven by AI tools as the primary or contributing reason for the cuts. It does not capture companies that used AI to justify restructuring without naming it — a category that is harder to measure and almost certainly larger. [1]

The companies that named AI directly include Pendo, which cut 10% of its workforce citing AI-driven productivity gains, and Oracle, which reduced headcount by 6% while expanding its AI development budget. Goldman Sachs analysts warned that the average tech job search for displaced workers now extends beyond six months, up from three months in 2024. [2]

The attribution question is philosophically interesting and practically irrelevant to the people who lost their jobs. Whether a company is cutting workers because AI has genuinely replaced their function, or because AI provides political cover for cuts that would have happened anyway, the economic outcome for the worker is identical. The distinction matters for measuring AI's actual labor market impact; it does not change the monthly bills.

The Japan counterpoint sharpens the analysis. Japan is deploying AI and robotics at scale because the country faces a structural labor shortage — an aging population with insufficient workers to fill existing demand. The technology is filling a gap. The United States is deploying AI while simultaneously cutting the workers the technology ostensibly replaces — a configuration that produces not a labor market in equilibrium but a transfer of output from workers to capital. [2]

The $650 billion that the tech industry collectively invested in AI development in 2025, against which these layoffs are set, has not yet produced the productivity gains companies projected when making those investments. Metaintro's analysis of the sector found that productivity improvements from AI deployment have been concentrated in specific functions — code generation, customer service automation, certain data processing tasks — while the broader productivity gains that would justify the capital expenditure remain unrealized. [1]

What is realizing right now is the cost side of that equation. Companies are cutting the workers first and betting the productivity gains will arrive later. Whether that bet pays off is a question for 2027. What is certain is that 78,557 people are looking for work today.

-- ANNA WEBER, Berlin