TY  - JOUR
AU  - Varian, Hal
TI  - Artificial Intelligence, Economics, and Industrial Organization
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 24839
PY  - 2018
Y2  - July 2018
DO  - 10.3386/w24839
UR  - http://www.nber.org/papers/w24839
L1  - http://www.nber.org/papers/w24839.pdf
N1  - Author contact info:
Hal R. Varian
576 Del Amigo Rd
Danville, CA 94526
US
Tel: 925 262 3641
E-Mail: hal@google.com
M1  - published as Hal Varian. "Artificial Intelligence, Economics, and Industrial Organization," in Ajay Agrawal, Joshua Gans, and Avi Goldfarb, editors, "The Economics of Artificial Intelligence: An Agenda" University of Chicago Press (2019)

M3  - presented at "Economics of Artificial Intelligence", September 13-14, 2017
AB  - 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.
ER  -