Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

Ajay Agrawal, Joshua Gans and Avi Goldfarb

Journal of Economic Perspectives, 2019, vol. 33, issue 2, 31-50

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 the automation of prediction leads to automating decisions versus enhancing decision-making by humans.

JEL-codes: C63 J23 J24 L23 M11 (search for similar items in EconPapers)
Date: 2019
Note: DOI: 10.1257/jep.33.2.31
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Citations: View citations in EconPapers (108)

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Working Paper: Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction (2019)
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