AI is beginning to reshape U.S. employment through a mix of job cuts, attrition and slower hiring, according to the Federal Reserve’s October Beige Book and private data tracking announced layoffs.
The Fed said in its October Beige Book that five of its 12 districts reported some companies had reduced staffing through attrition, delayed hiring or expected to create fewer jobs after productivity gains from AI investments. At the same time, the Fed described overall labor market conditions as little changed, with most districts reporting little or no net change in employment.
The district reports suggest the effect is showing up partly as jobs that are not being created. The Dallas Fed said some large accounting firms were delaying new employment contracts because AI-related efficiency gains could reduce the need for entry-level workers. The Cleveland Fed said automation and AI had reduced bank staffing needs by increasing productivity. The Minneapolis Fed said AI was not causing IT staffing layoffs but was dampening new job creation.
Separate figures from outplacement firm Challenger, Gray & Christmas show employers citing AI more directly. U.S. employers attributed 120,136 announced job cuts to AI through September, about 21% of 573,195 total announced cuts and the leading stated reason for the year. But the monthly picture was less dramatic: AI was cited in 3,961 September cuts, about 9% of the month’s 43,281 total, ranking fifth among stated reasons.
Overall, however, Challenger’s data showed that job cuts announced in the first nine months of 2026 fell by 39% compared to a year ago.