For months, workers have been saying it out loud: companies are blaming AI for cuts they were going to make anyway. The data finally caught up.
According to the latest Challenger, Gray & Christmas report, AI was the top reason companies gave for layoffs for the second straight month in April, before being narrowly edged out by economic restructuring in May. AI-linked cuts jumped from 8.7% of all announced layoffs in February to 24.3% in March, then took the top spot outright in April. May brought 82,744 total cuts, the highest May figure since 2023.
Tech is doing most of the lifting. Through April, tech companies announced 85,411 layoffs, up 33% year over year, and the sector accounted for 38.7% of all April cuts on its own. The corporate confessions have followed a familiar script. Amazon CEO Andy Jassy told employees in a June memo that the company expected to rightsize its corporate footprint "as we get efficiency gains from using AI extensively across the company," a line that landed shortly before Amazon moved to cut roughly 14,000 corporate roles.
The question is whether any of this is actually about AI.
Paul Osterman, a professor emeritus at MIT Sloan, doesn't think so. "AI functionally serves as a convenient justification for pre-planned workforce reductions," he told Miami Select. "Executives reach for technological explanations to depersonalize difficult decisions." For CEOs under pressure on costs, it's the cleanest way to lay people off without owning the call.
Forrester analyst J.P. Gownder calls the pattern AI washing. This framing benefits executives, he told The Daily Upside, because it makes them sound innovative while the actual driver is usually something more boring, like a softer revenue forecast or pressure from investors. Even Andy Challenger, whose firm publishes the data everyone's quoting, has been careful here. He noted in May that there is "no evidence of an AI-driven jobpocalypse" in the data and that productivity gains from AI remain speculative, even as companies cut now based on "hopes, not results."
The numbers under the hood back up the skepticism. A PitchBook analysis found that 40% of executives expected AI to deliver IT cost savings of 15–20%, but most achieved only 5–15% in specific functions. Companies are cutting first and hoping the productivity shows up later.
Sam Altman has argued the opposite, telling CNBC that organizations deeply integrating AI tend to show net job growth, while cautioning that the correlation shouldn't be mistaken for causation. There's some truth in that, but it also conveniently lets every layoff get sorted into a tidy story that flatters AI either way.
INTO THE VALLEY
Every restructuring era gets its own villain. In the '90s it was globalization. In the 2010s it was automation. In 2026 it's AI, and it's the most useful one yet because nobody can really prove or disprove the link. If you cut 10,000 people and say AI did it, you sound forward-looking. If you cut 10,000 people and say demand softened, you sound like you missed your number. Most of the CEOs reaching for AI as the reason haven't measured the productivity gains. They're reaching for it because it's the only excuse that comes with a stock bump attached.
