When the researchers examined stock market reactions to AI-linked layoff announcements, the average return was close to zero — not the boost many executives expected . CNBC tracked 23 S&P 500 companies that announced AI-related layoffs and found that 56% saw their stock prices decline afterward, with an average drop of about 25%
. Separately, the Financial Times reported that 21 companies that laid off staff citing AI underperformed the Nasdaq Composite Index by approximately 10% in the 30 trading days following their announcements
. The market is no longer rewarding AI layoffs as a signal of efficiency.
Stanford's Digital Economy Lab (August 12, 2026) analyzed ADP payroll data covering millions of U.S. workers and found no evidence of widespread, economy-wide job displacement from AI — though employment of younger workers has softened . Federal Reserve surveys similarly found that AI is not expected to reduce aggregate employment by more than 0.4% in 2026
. The cuts are concentrated at large firms, while smaller firms expect modest employment gains
.
The AI-driven layoff paradox works like this: companies cut staff to fund AI and signal efficiency to investors, but the cuts trigger employee disengagement that kills the productivity AI was meant to deliver, fail to lift stock prices (and often depress them), and then force expensive rehiring when automation proves insufficient — all while over 55% of leaders admit the whole exercise was a mistake.