Digital transformation of markets and industries is one of the most difficult challenges for the modern competition policy. The transformation is closely connected to the formation of ecosystems and the adoption of artificial intelligence (AI). The authors of the article summarize main issues raised in the process of market behavior qualification and market structure assessment for AI intensive companies leading digital ecosystems. These issues include enhanced market concentration, risks of price discrimination and algorithmic collusion. One of the specific challenges in that sphere is the dependence of AI efficiency on big-data-based machine learning. This feature causes the increase in market concentration, strengthens the positions of market leaders, and potentially weakens the competitive environment. Antitrust bodies should improve their own digital competences and analytical capacities to prevent the loss of control over the market, as well as the elimination of AI benefits.
Keywords: Digital economy, artificial intelligence, competition policy, antitrust policy, machine learning, big data, market concentration.
JEL: L40, L11, K21.
For citation: Kurdin, A.A. (2021) Regulation of Digital Ecosystems within the Framework of Compe-tition Policy: Legal and Economic Approach. Scientific Research of Faculty of Economics. Electronic Journal, vol. 13, no. 4, pp. 7-20. DOI: 10.38050/2078-3809-2021-13-4-7-20