Overview
- The Gallup analysis, published Thursday, used February survey data from more than 23,000 U.S. workers, including 660 people who said their jobs were eliminated, to build a predictive model of layoff risk.
- For tech-sector employees the model estimated a roughly 6% predicted probability of layoff for those who use AI at least monthly versus about 18% for those who use it less than once a month.
- Only about 1% of laid-off workers in the data said AI was the direct cause of their dismissal, which suggests AI may operate indirectly through productivity gaps or employer evaluations.
- Many workers still avoid workplace AI because of data privacy and security worries (about 38–43%) or a preference for existing workflows (about 36–46%), and frequent use remains concentrated among digitally fluent, white‑collar roles.
- The findings signal a widening labor‑market fault line: employers are looking for AI fluency when hiring and retaining staff, which could reshape career advice, training priorities, and how companies measure performance.