Beyond Displacement: AI-Related Job Loss and Time to Re-Employment

Authors

• Megan E. Williams, Brigham Young University - ProvoFollow
• Eric Dahlin, Brigham Young University - ProvoFollow

Files

Keywords

AI, Job Loss, Unemployment

Abstract

This study examines whether workers who lose jobs to AI experience longer unemployment than those displaced for other reasons. Using OLS regression with demographic and occupational controls, results show that, on average, AI-displaced workers find new employment slightly faster. Although these differences are not statistically significant, they suggest AI-related job loss may not uniquely affect reemployment.

BYU ScholarsArchive Citation

Williams, Megan E. and Dahlin, Eric, "Beyond Displacement: AI-Related Job Loss and Time to Re-Employment" (2026). FHSS Mentored Research Conference. 383.
https://scholarsarchive.byu.edu/fhssconference_studentpub/383

Document Type

Poster

Publication Date

2026-04-09

College

Family, Home, and Social Sciences

Department

Sociology

University Standing at Time of Publication

Senior

Course

Sociology 405

Copyright Use Information

https://lib.byu.edu/about/copyright/