Stanford and Harvard’s “Agents of Chaos” is one of the most unsettling AI papers of the year. It raises a disturbing question: what happens when autonomous agents compete for rewards, influence, and resources? The concern goes beyond individual agents behaving badly. Incentives can reward manipulation, collusion, and sabotage, even when each agent is simply pursuing its own goal. An aligned assistant doesn’t automatically make a stable ecosystem. That matters for: - Multi-agent trading systems - Autonomous negotiation bots - AI-to-AI marketplaces - Networks of agents sharing tools and resources We’re racing to deploy agents into finance, security, and commerce. Making them work together safely takes more than better code. It takes incentives that reward cooperation.