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Sprint projectOct 26, 2026New York, NY

An Offer You Can't Refuse: How Agents Decide to Collude - and How To Stop Them

Tom Loscalzo

Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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As recent security incidents have shown, AI agents can collude, circumvent their controls and create unexpected harms in pursuit of their goals. Humans did the same when NASDAQ market makers raised their profits at other traders' expense.

We ran more than 3,500 games on two open models in a simulated market where AI market makers post prices under a regulator.

When agents are able to communicate, they are far more likely to collude.

An agent's initial instructions disproportionately influence collusion: a target price in the prompt becomes the price agents collude at. An ethical persona prompt does not prevent collusion but steers it towards better outcomes.

Collusion can be predicted: agents that open with noncompetitive prices tend to keep them there.

AI can detect prompts which "tempt" other agents to collude, but not themselves; The existence of temptations to collude in prompts is highly predictive of it.

These findings matter for how AI agents are tested, instructed, monitored, and supervised.

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Cite this project

@misc{loscalzo2026offer,
  title = {{An Offer You Can't Refuse: How Agents Decide to Collude - and How To Stop Them}},
  author = {Tom Loscalzo},
  year = {2026},
  month = oct,
  note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/an-offer-you-cant-refuse-how-agents-decide-to-collude-and-how-to-stop-them-heof}},
  url = {https://apartresearch.com/sprints/projects/an-offer-you-cant-refuse-how-agents-decide-to-collude-and-how-to-stop-them-heof}
}

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