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AI-driven markets may be heading towards collusive regime

WireByte Staff · July 3, 2026

A new study suggests that the increasing use of artificial intelligence in markets may lead to a shift from competitive to collusive regimes. This is because AI can efficiently solve the collusion detection problem, making it sustainable for firms to collude. The study, which combines previous research, argues that markets can be efficient or competitive, but not both, and that AI is pushing them towards the collusive regime.

Key points

  • Philip Maymin, a researcher, has published a study on the impact of AI on market competition, suggesting that AI-driven markets may be heading towards a collusive regime.
  • The study argues that if P = NP, firms can efficiently solve the collusion detection problem, making collusion sustainable as an equilibrium.
  • AI is expanding firms' computational capabilities, pushing markets from the competitive regime towards the collusive regime.
  • The study combines previous research by Maymin (2011) and others, which proved that market efficiency requires P = NP.
  • The findings have implications for the regulation of AI-driven markets and the potential for algorithmic collusion.

AI-driven markets may be heading towards collusive regime

A new study published on arXiv.org suggests that the increasing use of artificial intelligence in markets may lead to a shift from competitive to collusive regimes. The study, led by Philip Maymin, a researcher, combines previous research and argues that markets can be efficient or competitive, but not both.

According to the study, if P = NP, firms can efficiently solve the collusion detection problem, making collusion sustainable as an equilibrium. This is because AI can efficiently solve the collusion detection problem, which is computationally infeasible for markets satisfying a natural instance-hardness condition on their demand structure.

The study has implications for the regulation of AI-driven markets and the potential for algorithmic collusion. It suggests that regulators need to consider the impact of AI on market competition and take steps to prevent the emergence of collusive regimes.

Background

The study builds on previous research by Maymin (2011) and others, which proved that market efficiency requires P = NP. The new study combines this research with the idea that AI is expanding firms' computational capabilities, pushing markets from the competitive regime towards the collusive regime.

Implications

The findings of the study have significant implications for the regulation of AI-driven markets. Regulators need to consider the impact of AI on market competition and take steps to prevent the emergence of collusive regimes. This may involve implementing new regulations or updating existing ones to address the challenges posed by AI-driven markets.

Conclusion

The study suggests that AI-driven markets may be heading towards a collusive regime. This has significant implications for the regulation of AI-driven markets and the potential for algorithmic collusion. Regulators need to take steps to prevent the emergence of collusive regimes and ensure that markets remain competitive.

Sources

WireByte Staff — Editorial Team

The WireByte editorial team synthesises technology news from multiple primary sources, verifies the facts, and links every source. Articles are produced with AI assistance and reviewed under our editorial policy.