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This post examines whether competition law can remain effective in prospective AI development scenarios by looking at six variables for AI development: capability of AI systems, speed of development, key inputs, technical architectures, number of actors, and the nature and relationship of these actors. For each of these, we analyse how different scenarios could impact effective enforceability. In some of these scenarios, EU competition law would remain a strong lever of control; in others it could be significantly weakened. We argue that despite challenges to regulators‘ ability to detect and remedy breaches, in many future scenarios the effective enforceability of EU competition law remains strong.

Compute or computing power refers to a software and hardware stack, such as in a data centre or computer, engineered for AI-specific applications. We argue that the antitrust and regulatory literature to date has failed to pay sufficient attention to compute, despite compute being a key input to AI progress and services, the potentially substantial market power of companies in the supply chain, and the advantages of compute as a ‘unit’ of regulation in terms of detection and remedies.