AI-Driven Layoffs Undermine Corporate Productivity Gains
Professor Mark Ma reports that using AI to justify job cuts creates employee hostility that offsets the technology's expected efficiency gains.
Research led by Mark Ma, a Professor of Business Administration at the University of Pittsburgh, indicates that AI-driven layoffs are undermining the productivity gains companies expect from artificial intelligence. By analyzing millions of Glassdoor reviews, corporate financial reports, and earnings calls, the study found that workforce reductions intended to lower labor costs create job insecurity and negative employee sentiment.
This hostility toward AI leads workers to resist the technology, which offsets efficiency gains. While management often expresses optimism in 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.
Ma characterizes the use of AI to justify job cuts as a "strategic miscalculation" that works against the benefits of the technology. The research suggests that companies are more likely to profit by investing in employee skills and sharing AI gains with their workforce rather than reducing staff.