The combination of data with technologically advanced tools such as pricing algorithms and machine learning is increasingly changing the competitive landscape in the digital markets. There is a growing number of firms using computer algorithms to improve their pricing models, customise services and predict market trends, which could generate efficiencies. However, the widespread usage of algorithms could also pose possible anti-competitive effects by making it easier for firms to achieve and sustain collusion without any formal agreement or human interaction.
In June 2017 the OECD held a roundtable on "Algorithms and Collusion" as a part of the wider work stream on competition in the digital economy, in order to discuss some of the challenges raised by algorithms. Among other topics, the roundtable addressed the question of whether antitrust agencies should reconsider the traditional antitrust concepts of agreement and tacit collusion, and whether any antitrust liability can be imposed on the algorithms’ creators and users.
The key findings of the discusion can be accessed here, a detailed summary here and below, all session information and materials including contributions from participating delegations and speakers.
