AI Layoffs SURGE — Worse Than 2020?

Person using a tablet to monitor robotic machinery.

AI is now the number one reason American workers are losing their jobs — and the pace is accelerating fast enough to rival the darkest days of the pandemic.

Story Snapshot

AI was cited as the top reason for U.S. job cuts for three months in a row, accounting for 40% of all layoffs in May 2026.
Over 97,000 jobs were cut in May alone — the highest May total since the COVID-19 pandemic shut down the economy in 2020.
Tech companies have announced more than 123,000 cuts so far in 2026, a 66% jump compared to the same stretch in 2025.
AI-linked layoffs in just the first five months of 2026 have already surpassed the full-year totals for both 2024 and 2025 combined.

The Numbers Are Hard to Ignore

U.S. employers announced about 97,000 job cuts in May 2026. That is a 16% jump from April and the highest May total since 2020, when COVID-19 was crippling the economy. Outplacement firm Challenger, Gray and Christmas tracked the data and found AI was the leading reason given for layoffs — for the third month in a row. AI was blamed for a record 38,579 of those cuts, making up 40% of all job losses that month, up from just 7% back in January.

Through the first five months of 2026, employers have cited AI in nearly 88,000 planned layoffs — already more than the total AI-linked cuts recorded in all of 2025. Tech companies alone have announced more than 123,000 job cuts so far this year, a 66% increase over the same period in 2025. “The labor market is being reshaped by technology in real time,” said Andy Challenger of Challenger, Gray and Christmas. “AI is now the leading reason companies give for cutting jobs.”

Who Is Getting Hit Hardest

The technology sector is leading the layoff wave. Companies like GitLab, Intuit, Cisco, and Cloudflare have all publicly cited AI when announcing workforce cuts. Hiring has also slowed to levels not seen since 2010, when unemployment was near 10%. Economists are calling it a “big freeze” — companies are not firing en masse across the board, but they have stopped hiring. For workers trying to get in the door, opportunity is shrinking fast.

Young workers are feeling the squeeze the most. A Stanford University Digital Economy Lab study found a 16% drop in early-career jobs in the most AI-exposed fields since late 2022. Unemployment among recent college graduates has climbed to nearly 6% — rising twice as fast as the rest of the workforce. In computer science and engineering, that number is even higher, sitting around 7% to 7.8%, putting those fields on par with fine arts majors.

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

Not everyone agrees AI is the main driver. Some economists argue companies are using AI as a convenient excuse for layoffs that are really about cutting costs after pandemic-era over-hiring. A McKinsey survey found that 94% of companies reported no significant value from their AI investments, even though 90% had already deployed it. The Penn Wharton Budget Model estimated AI added just 0.01 percentage points to productivity growth in 2025 — a nearly invisible impact.

There is also a financial incentive for companies to frame layoffs as an AI upgrade rather than a sign of trouble. When Block announced AI-driven workforce cuts, its stock jumped 20%. That kind of reward pushes executives to spin bad news as bold strategy. Goldman Sachs Research projects that only about 2.5% of U.S. jobs are truly at risk of AI displacement if current trends hold — and that any unemployment bump from AI will likely be modest and short-lived. Still, with nearly 400,000 total job cuts announced in just five months, the pain is real for the workers living it right now.

What This Means for American Workers

Whether AI is the true cause or just a talking point, the result is the same for millions of Americans: pink slips are piling up. The share of U.S. workers who say it is a good time to find a job has dropped from about 70% in 2022 to just 28% today. That is a collapse in confidence that no amount of corporate spin can paper over. Workers — especially older ones and those in white-collar roles — need to pay close attention to how fast this is moving and plan accordingly.