• Media type: E-Book
  • Title: Market Power in Artificial Intelligence
  • Contributor: Gans, Joshua [VerfasserIn]
  • Corporation: National Bureau of Economic Research
  • imprint: Cambridge, Mass: National Bureau of Economic Research, March 2024
  • Published in: NBER working paper series ; no. w32270
  • Extent: 1 Online-Ressource; illustrations (black and white)
  • Language: English
  • Keywords: Künstliche Intelligenz ; Data Science ; Datenmanagement ; Marktmacht ; Information and Product Quality; Standardization and Compatibility ; General ; Intellectual Property and Intellectual Capital ; Arbeitspapier ; Graue Literatur
  • Reproduction note: Hardcopy version available to institutional subscribers
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  • Description: 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