"Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction"

by Agrawal, Ajay; Gans, Joshua S; Goldfarb, Avi (2019)

Abstract

Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when automating prediction leads to automating decisions versus enhancing decision-making by humans.

Keywords

Artificial Intelligence, Labor Markets, Automation, Job Futures, Work Prediction, Machine Learning

Themes

Employment, Automation

Links to Reference

• https://www.aeaweb.org/doi/10.1257/jep.33.2.31
• http://dx.doi.org/10.1257/jep.33.2.31
• https://pubs.aeaweb.org/doi/pdfplus/10.1257/jep.33.2.31

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