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

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.

Authors

Publication Details

Journal
Journal of Competition Law & Economics
Published
2025-05-08
DOI
https://doi.org/10.1093/joclec/nhaf014
Citations
1
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
2.48
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article

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

Roman Inderst, Stefan Thomas
1 citations
Journal of Competition Law & Economics
Law, AI, and Intellectual Property
2.48
article

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

Roman Inderst, Stefan Thomas
article en
1 citations

Abstract

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.

Journal of Competition Law & EconomicsVol. 21(4)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Law, AI, and Intellectual Property
2.48
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