Market Power in Artificial Intelligence

Joshua Gans

No 32270, NBER Working Papers from National Bureau of Economic Research, Inc

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.

JEL-codes: L15 L40 O34 (search for similar items in EconPapers)
Date: 2024-03
New Economics Papers: this item is included in nep-ain, nep-cmp, nep-com, nep-ind, nep-ino and nep-reg
Note: PR
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.nber.org/papers/w32270.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:32270

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w32270

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().