In this paper, Daniel Pryor argues that competition interventions in digital markets have often been premised on faulty economic assumptions and therefore led to various unintended consequences. Applying these insights to the emerging field of frontier artificial intelligence, he raises concerns that repeating the same mistakes in AI could have significant consequences: undermining the safe development of this potentially world-changing technology.