AI is becoming a go-to reason for layoffs — but is it actually replacing workers?
Economists say the technology’s footprint on the job market remains hard to find... for now.
The US labor market is at an interesting place. On the one hand, unemployment remains pretty low. But Corporate America is still unwinding some of the pandemic-era hiring binge — data out yesterday from outplacement firm Challenger, Gray & Christmas showed that layoffs in January were the highest to start a year since 2009.
And some of those job cuts are being blamed on AI.
Just last week, Pinterest said it would trim ~15% of its workforce, with CEO Bill Ready telling staff he was “doubling down on an AI-forward approach.” Dow Chemical announced plans to cut about 4,500 jobs while leaning into “AI and automation.” Amazon slashed 16,000 jobs, continuing cuts from last year, alongside a slew of tech giants like Microsoft, Meta, and Salesforce — all of which have linked job cuts to AI-driven efficiency gains.
Per Challenger, nearly 55,000 US job cuts were attributed to AI in 2025. That’s roughly a thirteenfold increase from two years earlier, when the category was first tracked.
Blame game
However, a growing body of research questions whether jobs are actually being lost to AI — or whether employers are simply “AI-washing,” using the investor-friendly buzzword to explain their downsizing decisions.
In a January report, Oxford Economics suggested the role of AI in recent layoffs may be “overstated,” noting that productivity growth hasn’t accelerated in a way consistent with widespread labor replacement. Attributing job cuts to AI, the group added, “conveys a more positive message to investors” than citing weak demand or past overhiring. Meanwhile, new analysis from Yale Budget Lab found that employment patterns look largely unchanged from pre-AI trends.
So why is AI looming so large in layoff narratives today, even as its macro impact remains hard to spot? One possibility is that companies are downsizing for what AI might deliver in the future, not what it already can.
Indeed, 60% of organizations have already reduced headcount in anticipation of AI’s future impact, according to a December Harvard Business Review survey of more than 1,000 global executives. Another 29% have slowed hiring for the same reason, while just 2% said they’ve made large layoffs tied to actual AI implementation.
