When automation hits jobs: Entrepreneurship as an alternative career path

D DaeHyun Kim T Taekyun Kim W Wonjoon Kim H Hyejin Youn (Santa Fe Institute)

Abstract

This study investigates the relationship between occupational automation risks and workers’ transitions to entrepreneurship using data from the Current Population Survey. We find that employees facing automation-related job displacement are inclined to shift toward unincorporated entrepreneurship, emphasizing entrepreneurship as a viable alternative career path. Noteworthy variations emerge when examining specific automation technologies, revealing a positive association between industrial robots and entrepreneurial transitions, whereas artificial intelligence displays a negative relationship. Gender disparities are observed, with female workers exhibiting a lower likelihood than males of transitioning into entrepreneurship. This study also shows a heightened prominence of entrepreneurial transitions during the early stages of the COVID-19 pandemic. By illuminating entrepreneurship as a response to job displacement, our results offer crucial policy insights into the labor market implications of automation.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 9
Published September 08, 2025
Pages e0331244
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (4)

D

DaeHyun Kim

T

Taekyun Kim

W

Wonjoon Kim

H

Hyejin Youn

Santa Fe Institute