Artificial Intelligence, Economics, and Industrial Organization

Hal Varian ()

No 24839, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Machine learning (ML) and artificial intelligence (AI) have been around for many years. However, in the last 5 years, remarkable progress has been made using multilayered neural networks in diverse areas such as image recognition, speech recognition, and machine translation. AI is a general purpose technology that is likely to impact many industries. In this chapter I consider how machine learning availability might affect the industrial organization of both firms that provide AI services and industries that adopt AI technology. My intent is not to provide an extensive overview of this rapidly-evolving area, but instead to provide a short summary of some of the forces at work and to describe some possible areas for future research.

JEL-codes: L0 (search for similar items in EconPapers)
Date: 2018-07
New Economics Papers: this item is included in nep-big, nep-cmp, nep-ict and nep-pay
Note: IO PR
References: Add references at CitEc
Citations: View citations in EconPapers (44)

Published as Artificial Intelligence, Economics, and Industrial Organization , Hal Varian. in The Economics of Artificial Intelligence: An Agenda , Agrawal, Gans, and Goldfarb. 2019

Downloads: (external link)
http://www.nber.org/papers/w24839.pdf (application/pdf)

Related works:
Chapter: Artificial Intelligence, Economics, and Industrial Organization (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:24839

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w24839

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().