Gartner has forecast that by 2029 nearly a third of employees laid off due to AI adoption will need to be rehired, often at significantly higher cost, as companies discover their cuts went too deep. The research firm warned that while workforce reductions may deliver short-term savings, they risk hollowing out talent pipelines and institutional knowledge, and with global labour force growth flat or declining, rehiring will mean higher recruitment, training and onboarding costs. This matters because it suggests firms treating AI primarily as a cost-cutting tool could damage their long-term competitiveness rather than benefit from the technology.

Gartner VP analyst Tori Paulman argued the real opportunity lies in "workforce amplification" rather than automation for its own sake, and predicted that by 2027 three-quarters of organisations chasing AI cost savings will be overtaken by rivals who reinvest those gains into innovation and upskilling instead. Gartner recommended a "talent remix" strategy that redeploys staff to higher-value work rather than simply cutting roles. The article cites Oracle as an example already under scrutiny, having shrunk its workforce by 21,000 over the past year while explicitly linking the reduction to AI adoption in its annual report.