AI-Driven Layoffs Undermine Corporate Productivity Gains

A study led by Mark Ma, a Professor of Business Administration at the University of Pittsburgh, finds that AI-driven layoffs are undermining the productivity gains companies expect from artificial intelligence investments. By analyzing millions of employee reviews and corporate financial reports, the research identified a correlation between AI investment announcements and job cuts, which increases employee job insecurity and anti-AI sentiment.

This negativity offsets potential efficiency gains because workers resist tools they perceive as threats to their careers. While management often expresses optimism during earnings calls, a separate study by the Federal Reserve Bank of Atlanta found that approximately 90% of executives believe AI has not yet boosted productivity.

The research suggests that using workforce reduction as a primary AI strategy is a strategic miscalculation. According to the findings, employee sentiment serves as a stronger predictor of firm productivity than managerial optimism.