Early-career workers between 22 and 25 years old in roles with high AI exposure saw a 16% relative employment decline compared with stable or growing employment for workers 35 and older in those same exact roles, according to recent labor market data. The gap suggests AI's workforce impact isn't falling evenly across age groups even within identical job titles.
The pattern is consistent with a specific mechanism: AI tools are strongest at tasks that junior employees traditionally learned by doing, and if a company can have a model handle that entry-level work, it removes the rung on the career ladder that used to train the next generation of senior staff, a longer-term cost that doesn't show up in this year's layoff numbers.