80,000 Tech Workers Laid Off in Q1 — Half Blamed on AI
What Happened
Tracking data shows Q1 tech layoffs hit 78,557, with 47.9% attributed to AI and workflow automation. Meta, Google, Amazon, Salesforce, and Oracle all cited AI productivity gains. But Sam Altman has acknowledged "AI washing," and a San Francisco Standard analysis found some companies citing AI efficiencies hadn't yet deployed the tools they credited. Meanwhile, Mercer's Global Talent Trends 2026 survey of 12,000 workers found 40% now fear losing their job to AI, up from 28% in 2024.
My Take
The number that matters is not 80,000. It's 47.9% — the share of cuts companies themselves attributed to AI. Whether or not every one of those attributions is honest, the fact that nearly half of all tech layoffs now carry an AI label changes the conversation. It gives other industries permission to do the same thing. If you manage people, the Mercer finding should get your attention: almost two-thirds of employees think leadership doesn't understand what this feels like. The companies that handle the human side of this transition well — honest communication, real retraining, clear answers about what AI changes and what it doesn't — will hold onto better people. The ones that wave vaguely at "AI efficiencies" while cutting heads will lose trust fast.
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