Ai and International Trade

33 Pages Posted: 29 Jan 2018 Last revised: 8 Feb 2018

See all articles by Avi Goldfarb

Avi Goldfarb

University of Toronto - Rotman School of Management

Daniel Trefler

University of Toronto - Rotman School of Management; National Bureau of Economic Research (NBER)

Date Written: January 2018

Abstract

This paper explores the international dimensions of the economics of artificial intelligence. Trade theory emphasizes the roles of scale, competition, and knowledge creation and knowledge diffusion as fundamental to comparative advantage. We explore key features of AI with respect to these dimensions and describe the features of an appropriate model of international trade in the context of AI. We then discuss policy implications with respect to investments in research, and behind-the-border regulations such as privacy, data localization, standards, and competition. We conclude by emphasizing that there is still much to learn before we have a comprehensive understanding of how AI will affect trade.

Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

Suggested Citation

Goldfarb, Avi and Trefler, Daniel, Ai and International Trade (January 2018). NBER Working Paper No. w24254. Available at SSRN: https://ssrn.com/abstract=3112041

Avi Goldfarb (Contact Author)

University of Toronto - Rotman School of Management ( email )

105 St. George Street
Toronto, Ontario M5S 3E6 M5S1S4
Canada
416-946-8604 (Phone)
416-978-5433 (Fax)

Daniel Trefler

University of Toronto - Rotman School of Management ( email )

105 St. George Street
Toronto, Ontario M5S 3E6 M5S1S4
Canada
416-978-4190 (Phone)
416-978-6713 (Fax)

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
37
Abstract Views
390
PlumX Metrics