Algorithms and Antitrust: a Framework with Special Emphasis on Coordinated Pricing

Roman Inderst and Stefan Thomas

Journal of Competition Law and Economics, 2025, vol. 21, issue 4, 534-564

Abstract: The debate about algorithmic collusion has solidified to a state where agencies like the European Commission or the UK CMA have acknowledged its relevance for the cartel prohibition in their latest Horizontal Guidelines. In addition, national legislators in Germany and Italy have, only recently, enacted special antitrust provisions to address, among other things, algorithmic collusion even outside the scope of the cartel prohibition. We argue that established legal principles behind the definition of cartel conduct are challenged by the means and forms of how algorithms can impact pricing. We put forward that key for any case analysis under the cartel prohibition and the new type of legislation is a counterfactual assessment, which reflects the capabilities of artificial intelligence-based pricing technology. Such counterfactual assessment hinges on the type of pricing algorithms and the effects that the blocking of certain functions of algorithmic pricing would have on consumer welfare. We develop a taxonomy of cases for the cartel prohibition, and we describe paradigms for the development of remedies within the scope of the new legislation.

JEL-codes: A13 K21 K32 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:oup:jcomle:v:21:y:2025:i:4:p:534-564.

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Journal of Competition Law and Economics is currently edited by Nicholas Economides, Amelia Fletcher, Michal Gal, Damien Geradin, Ioannis Lianos and Tommaso Valletti

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