In this episode, we explore one of the most overlooked but rapidly escalating developments in artificial intelligence: AI agents regulating other AI agents. Through real-world examples, emergent behaviors like tacit collusion, and findings from simulation research, we examine the future of AI governance—and what it means for trust, transparency, and systemic control.Technical Takeaways:Game-theoretic patterns in agentic systemsDynamic pricing models and policy learnersAI-driven regulatory ecosystems in productionThe role of trust and incentives in multi-agent frameworksLLM behavior in regulatory-replicating environmentsReferences:[2403.09510] Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation[2504.08640] Do LLMs trust AI regulation? Emerging behaviour of game-theoretic LLM agents

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