Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform

Author:

Brynjolfsson Erik1ORCID,Hui Xiang2ORCID,Liu Meng3ORCID

Affiliation:

1. Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142;

2. Marketing, Olin School of Business, Washington University in St. Louis, St. Louis, Missouri 63130;

3. Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02142

Abstract

Artificial intelligence (AI) is surpassing human performance in a growing number of domains. However, there is limited evidence of its economic effects. Using data from a digital platform, we study a key application of AI: machine translation. We find that the introduction of a new machine translation system has significantly increased international trade on this platform, increasing exports by 10.9%. Furthermore, heterogeneous treatment effects are consistent with a substantial reduction in translation costs. Our results provide causal evidence that language barriers significantly hinder trade and that AI has already begun to improve economic efficiency in at least one domain. This paper was accepted by Joshua Gans, business strategy.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

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