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Cited by 471

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Artificial Intelligence and Economic Growth

Open access
Aghion, Philippe, Jones, Benjamin, Jones, Charles·2017·National Bureau of Economic Research
DOI 10.3386/w23928
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Abstract

This paper examines the potential impact of artificial intelligence (A.I.) on economic growth.We model A.I. as the latest form of automation, a broader process dating back more than 200 years.Electricity, internal combustion engines, and semiconductors facilitated automation in the last century, but A.I. now seems poised to automate many tasks once thought to be out of reach, from driving cars to making medical recommendations and beyond.How will this affect economic growth and the division of income between labor and capital?What about the potential emergence of "singularities" and "superintelligence," concepts that animate many discussions in the machine intelligence community?How will the linkages between A.I. and growth be mediated by firm-level considerations, including organization and market structure?The goal throughout is to refine a set of critical questions about A.I. and economic growth and to contribute to shaping an agenda for the field.One theme that emerges is based on Baumol's "cost disease" insight: growth may be constrained not by what we are good at but rather by what is essential and yet hard to improve.

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Metadata

Authors
Aghion, P., Jones, B., & Jones, C.
Venue
National Bureau of Economic Research
Publisher
National Bureau of Economic Research
Published
2017-10
DOI
10.3386/w23928
OpenAlex
W2765257612
Cited by
471
References
8
Type
report
Language
en
Open access
green

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