Artificial Intelligence: The Ambiguous Labor Market Impact of Automating PredictionAjay Agrawal, Joshua S. Gans, Avi Goldfarb
NBER Working Paper No. 25619 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. You may purchase this paper on-line in .pdf format from SSRN.com ($5) for electronic delivery.
Acknowledgments and Disclosures Machine-readable bibliographic record - MARC, RIS, BibTeX Document Object Identifier (DOI): 10.3386/w25619 Published: Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, vol 33(2), pages 31-50. citation courtesy of |

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