As of early September 2026, tech companies have eliminated 209,032 jobs across 365 separate layoff events, according to real-time tracking data. That's an average of 832 people losing their jobs every day since January 1.
The AI citation surge
Half of all layoff announcements — 183 out of 365 events — now explicitly cite AI, automation, or machine learning as a contributing factor, affecting approximately 172,044 workers. That's a sharp shift: in January, AI was named in just 7% of layoffs. By May, it was 40%. Oracle cut roughly 30,000 roles in the past year, telling staff that adoption of AI technologies resulted in reductions. Amazon eliminated 16,000 corporate positions in January. Meta, Microsoft, Cisco, Block, and Atlassian all followed with cuts in the thousands, most naming AI directly.
Meanwhile, the same companies committed hundreds of billions to AI infrastructure. Amazon alone spent over 80 billion dollars on AI capital expenditures in 2025. Meta said it's becoming AI-first while cutting 8,000 workers to offset AI investments.
What economists see
Oxford Economics concluded in January that firms don't appear to be replacing workers with AI on a significant scale yet. OpenAI CEO Sam Altman acknowledged both phenomena at once: some AI washing where people blame AI for layoffs they'd do anyway, and real displacement happening in parallel. Deutsche Bank called it AI redundancy washing. The pattern is clear even if the cause isn't: companies are cutting roles, naming AI, and spending the savings on rented compute and tools they don't own.