AI-driven layoffs undermine productivity gains, research shows
New research finds that U.S. firms cutting staff to fund AI investments are hurting the very productivity improvements they seek.
Analysis of millions of job-satisfaction reviews and corporate financial data indicates that American firms are using AI investments as a pretext for workforce reductions, a strategy that backfires on productivity. Executives increasingly announce AI spending while simultaneously cutting headcount, expecting fewer workers to handle the same tasks. However, employee sentiment toward AI turns sharply negative when layoffs are linked to the technology, and this hostility is linked to reduced output.
Market responses to layoff announcements are typically neutral or adverse, contradicting the notion that such moves enhance shareholder value. While a few firms like Block saw short-term stock bumps, the overall trend shows that fear and insecurity erode the potential efficiency gains from AI. The findings suggest that companies should focus on training and sharing AI benefits with staff rather than using AI as a justification for cuts.
Why it matters
Cutting jobs to fund AI can sap morale and negate the productivity boost firms hope to achieve.
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