Book Review: Power and Prediction: The Disruptive Economics of Artificial Intelligence (by: Ajay Agrawal, Joshua Gans, Avi Goldfarb)

Levente Szabados ()
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Levente Szabados: Frankfurt School of Finance and Management; University of Sopron

Chapter 3 in Tanulmányok az információ- és tudásfolyamatokról 21. / Studies on Information and Knowledge Processes 21, 2024, vol. 21, pp 108-117 from Információs Társadalomért Alapítvány / Foundation for Information Society

Abstract: Reviews Agrawal, Gans and Goldfarb's Power and Prediction as an extension of the Prediction Machines framework, focusing on AI as low-cost prediction and on the complementary role of human judgment. It discusses why broad system-level transformation in firms tends to lag behind isolated AI adoption, while also noting limits in the book's treatment of large language models and automation.

Keywords: artificial intelligence; prediction machines; economic impact; organizational transformation; power and prediction (search for similar items in EconPapers)
Date: 2024
ISBN: 978-615-82082-8-4
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Persistent link: https://EconPapers.repec.org/RePEc:evj:echapt:alma21-03

DOI: 10.60030/ALMAMS.c202401yyrWaM

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