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Most of the current AI-and-jobs conversation, including my own recent coverage, has centered on entry-level role impact and the risk of failing to develop the next generation of leaders. But there are also impacts at the other end of the career tail: older workers ages 55 and older. A recent analysis from the Center for Retirement Research at Boston College finds that older, highly AI-exposed workers, such as programmers and accountants, are leaving work earlier than expected since ChatGPT’s launch, with the increase showing up mostly as unemployment rather than retirement. For programmers, transitions out of work rose by more than 25 percent, compared with just 2 percent for painters, one of the lowest-exposure jobs studied. The author, Geoffrey Sanzenbacher, points to three drivers: automation directly displacing workers, employees choosing to exit rather than adapt, and, less commonly so far, AI-driven productivity gains that extend careers instead. The data so far suggests the first two are outweighing the third. A few practical questions: Do you have visibility into AI-driven exit patterns among workers 55 and older? Do your succession timelines account for earlier, involuntary exits? And are you equipping late-career workers in AI-exposed roles with a path to extend their careers, rather than exit? These and other questions have implications for workforce planning and talent strategy.
