Altman Calls Out 'AI Washing' for Layoffs
OpenAI CEO Sam Altman has again pushed back on companies blaming artificial intelligence for workforce reductions, a practice he terms "AI washing." Speaking at the AI Impact Summit, Altman argued that companies are often using AI as a scapegoat for layoffs that stem from broader business issues. He suggested that while AI is changing the labor market, its role in current job cuts is frequently exaggerated.
- Outplacement firm Challenger, Gray & Christmas reported that AI was cited in nearly 55,000 layoffs in 2025, but this accounted for less than 1% of all job losses for the year. - A study by the Yale Budget Lab found no significant evidence of widespread job displacement due to AI as of late 2025, suggesting other economic factors are more dominant drivers of layoffs. - The term "AI washing" is derived from "greenwashing" and refers to companies blaming layoffs on AI to appear forward-thinking and technologically advanced, rather than admitting to issues like over-hiring or poor financial performance. - Some high-profile examples of potential "AI washing" include Amazon, which initially linked layoffs to AI before CEO Andy Jassy cited over-hiring and too many management layers as the primary reasons. - While Sam Altman acknowledges that AI will cause some real job displacement, other tech leaders have issued more stark warnings; for instance, Microsoft AI CEO Mustafa Suleyman predicted AI will replace many "white collar" workers within 18 months. - Research from the US National Bureau of Economic Research found that nearly 90% of surveyed executives reported that AI has had no impact on workplace employment in the three years following the launch of ChatGPT. - Some analysts suggest that blaming AI for layoffs can be a strategic move to reassure investors and shift the narrative away from potential management missteps or unfavorable market conditions. - Despite the "AI washing" trend, Gartner has projected that from 2028 onwards, AI will reconfigure, redesign, or fuse approximately 32 million jobs annually, indicating a significant future impact on the labor market.
