New research demonstrates that language models can exhibit tacit coordination in pricing, even without explicit communication. The study, using Anthropic Claude, Google Gemini, DeepSeek, and OpenAI GPT, found that specific model families can extract significant monopoly rents, and that heterogeneity doesn't always prevent collusion – in some cases, it strengthens it. This has significant implications for those tracking the deployment of autonomous pricing agents, highlighting that seemingly default model behaviors can lead to unexpected economic outcomes where a "price leader" effectively subsidizes competitors.
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