My research focuses on labor, health, family, and experimental economics.
Abstract: The rapid progress in automation and artificial intelligence raises questions about how these advances will influence perceptions of occupations and impact educational and vocational decisions. To explore this, we conducted an information provision experiment with young adults (N=600), manipulating perceived automation risks for four occupations: teacher, economist, office clerk, and registered nurse. The design allows us to study how perceptions of automation risk affect the attractiveness and the stated likelihood of choosing these occupations. Our results reveal that information on automation risks decreases the attractiveness of high-risk occupations (economists and office clerks), while not affecting low-risk occupations (teachers and nurses). Furthermore, the reported likelihood of becoming an office clerk decreased, with no significant effect on other occupations. These findings suggest that automation risk influences occupational attractiveness and may impact the future occupational choices of young people.