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Market Power in Artificial Intelligence

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  • Joshua S. Gans

Abstract

This paper surveys the relevant existing literature that can help researchers and policy makers understand the drivers of competition in markets that constitute the provision of artificial intelligence products. The focus is on three broad markets: training data, input data, and AI predictions. It is shown that a key factor in determining the emergence and persistence of market power will be the operation of markets for data that would allow for trading data across firm boundaries.

Suggested Citation

  • Joshua S. Gans, 2024. "Market Power in Artificial Intelligence," NBER Working Papers 32270, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:32270
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    More about this item

    JEL classification:

    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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