AI‑Driven Layoffs Undermine Productivity Gains, Study Finds

A new analysis of U. S. public companies shows that the surge in artificial‑intelligence (AI) investment over the past five years has been accompanied by a rise in AI‑justified layoffs, a trend that is eroding the very productivity gains firms hope to achieve. The study examined millions of employee‑satisfaction reviews, thousands of corporate financial reports, and hundreds of AI investment and layoff announcements. It found that as AI‑investment announcements increased, so did layoffs attributed to AI, a pattern that is unlikely to be coincidental. While executives—about 90% of whom say AI has yet to boost productivity—continue to pour billions into AI, the market reaction to these layoffs has been largely muted, with average stock‑market returns near zero. Employee sentiment toward AI is markedly negative, especially when job‑security concerns surface. The research links this anti‑AI sentiment to lower firm productivity, making it a stronger predictor than management optimism, which remains consistently upbeat across 10,000 earnings‑call transcripts. The findings suggest that using AI as a pretext for cutting jobs is a strategic misstep that damages morale and undermines the potential efficiency gains of AI. Companies that instead invest in training and share AI benefits with staff may unlock the true productivity upside of the technology.