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Anders Humlum is an economist studying how automation and artificial intelligence affect workers and firms. His research spans modern technologies, including AI chatbots and industrial robots, as well as historical innovations like steam engines from the Industrial Revolution. He collects micro-level data on new technologies adopted and traces their effects on employment, wages, firm survival, and profitability. Additionally, his work sheds light on reskilling policies that help workers adapt to disruptions in the labor market. Humlum holds a Ph.D. in Economics from Princeton University and a B.Sc. in Economics from the University of Copenhagen. Prior to joining Booth in 2022, he was a postdoctoral research fellow at the Becker Friedman Institute.
University of Chicago Booth School of Business • Chicago, IL
Teaches courses and conducts research in economics, focusing on the impact of automation and AI.
The doctoral program at Booth is organized into 'dissertation areas' which include Accounting, Behavioral Science, Econometrics and Statistics, Finance, Marketing, and Operations Management.