AI Bloodbath Hits Jobs — Who’s Next?

Folder with layoff notice in yellow box.

AI is now the number one reason American workers are losing their jobs — and the pace is accelerating faster than most people realize.

At a Glance

AI was cited as the top reason for U.S. job cuts for three straight months, tied to a record 38,579 layoffs in May 2026 alone.
Over 97,000 total job cuts were announced in May — the highest May total since the COVID-19 pandemic shut down the economy in 2020.
Tech companies have cut 123,653 jobs in the first five months of 2026, a 66% jump compared to the same period in 2025.
AI-linked layoffs in 2026 have already surpassed the full-year total from 2025, with half the year still to go.

AI Tops the Layoff Charts for Three Months Running

Artificial intelligence (AI) was the leading cause of U.S. job cuts for the third month in a row in May 2026, according to outplacement firm Challenger, Gray & Christmas. The technology was tied to a record 38,579 announced layoffs that month. That figure accounts for 40% of all job cuts in May — up sharply from just 7% in January. “The labor market is being reshaped by technology in real time,” said Andy Challenger, the firm’s chief revenue officer.

The overall May layoff number hit 97,000 — a 16% jump from April and the highest May total since 2020, when the COVID-19 pandemic was crippling the economy.^[19] So far in 2026, employers have blamed AI for 87,714 planned layoffs, representing 22% of all announced cuts for the year. That total already exceeds the 54,836 AI-related cuts recorded during all of 2025.^[19]

Tech Sector Takes the Hardest Hit

U.S. tech companies announced 123,653 job cuts through the first five months of 2026 — a 66% increase compared to the same stretch in 2025.^[24] Companies like GitLab, Intuit, Cisco, and Cloudflare have explicitly named AI as the reason for cutting workers.^[3] The technology sector led all industries in AI-linked layoffs. Hiring in the broader market has also slowed to levels last seen in 2010, when unemployment was near 10%, with economists calling it a “big freeze.”^[22]

Young workers are feeling the squeeze most. Unemployment among recent college graduates has climbed to nearly 6%, rising twice as fast as the rest of the workforce since 2022. A Stanford Digital Economy Lab study found a 16% drop in early-career employment across the most AI-exposed jobs since late 2022.^[22] The share of U.S. workers who say it is a good time to find a job has fallen from about 70% in 2022 to just 28% today.

Is AI Really to Blame, or Is Something Else Going On?

Not every expert agrees that AI is the true driver. Some researchers point out that AI has delivered very little proven productivity gain so far. The Penn Wharton Budget Model estimated just a 0.01% productivity boost from AI in 2025.^[11] A McKinsey survey found that 94% of companies reported no significant value from AI investments despite wide deployment.^[16] Some analysts argue companies overhired during the pandemic and are now correcting course — using AI as a convenient excuse.

Goldman Sachs research projects AI’s overall impact on employment will be modest and short-lived, estimating that only 2.5% of U.S. jobs are truly at risk of displacement if current AI use cases expand across the whole economy.^[25] Still, Goldman Sachs separately estimates AI is already trimming roughly 16,000 U.S. jobs per month.^[22] The honest answer is that both forces are likely at work — real AI-driven cuts and corporate cost-cutting dressed up in tech language. Either way, American workers are paying the price, and the numbers are getting harder to ignore.