AI exposure predicts unemployment risk: A new approach to technology-driven job loss.

ABSTRACT: Is AI disrupting jobs and creating unemployment? This question has stirred public concern for job stability and motivated studies assessing occupations' automation risk. These studies used readily available employment and wage statistics to quantify occupational changes for employed workers. However, they did not directly examine unemployment dynamics primarily due to the lack of data across occupations, geography, and time. Here, we overcome this barrier using monthly occupation-level unemployment data from each US state's unemployment insurance office from 2010 to 2020 to assess AI exposure models, job separations, and unemployment through a new measure called unemployment risk. We demonstrate that standard employment statistics are inadequate proxies for occupations' unemployment risk a

SUBMITTER: Frank MR 

PROVIDER: S-EPMC11983276 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature