Trapped Workers: Which Moves Actually Change a Worker's Options? • Bipartisan Policy Center

The Bipartisan Policy Center has published an issue brief titled 'Trapped Workers: Which Moves Actually Change a Worker's Options?' The brief examines movement between occupations in relation to AI exposure. Its title frames the analysis as a question about which moves actually change a worker's options.

According to the brief, movement toward more AI-exposed work has been steadily declining. Net inflow peaked in 2020 at 2.2 million weighted transitions, and by 2024 it had fallen to 0.2 million weighted transitions. The brief reports that 41% of workers leaving highly AI-exposed occupations land within the same occupational cluster, while 59% cross cluster boundaries. Those who cross clusters land in occupations from which the reachable next jobs carry 6.5 percentage points less AI exposure on average.

The brief reports net inflow in weighted transitions, peaking in 2020 and standing at 0.2 million in 2024. Its 41% figure covers workers who remain within their occupational cluster after leaving a highly AI-exposed occupation; its 59% figure covers those who move between clusters. The 6.5 percentage point difference describes the average AI exposure of jobs reachable from the occupations those crossing workers enter. The brief presents the 2020 peak and the 2024 level as the endpoints of a steady decline in net inflow toward more AI-exposed work, and its title poses a question rather than stating a finding.