The future job market will break career ladders. Find out who could fall.
Selected by Dylan Ratigan.
The interactive assembles competing forecasts of occupational exposure and centers a concrete institutional risk: if AI absorbs routine entry-level tasks, firms may remove the first rungs through which workers learn judgment, build relationships and become senior contributors.
It cites Stanford Digital Economy Lab analysis of ADP payroll records showing contraction among workers aged 22 to 25 in the most AI-exposed occupations while employment for more experienced workers did not follow the same pattern. An OpenAI framework classifies 18 percent of jobs as highly exposed, nearly half as less likely to change soon, and 12 percent as potential growth areas, especially work requiring trust, physical presence or accountability.