Told to compete, AI agents quietly settled on a price floor. Given conflicting orders, they wrote malware against each other.

Anthropic's Frontier Red Team published a study on 13 August of what happens when many AI agents share one environment. In pricing experiments, agents converged on price floors without communicating directly — collusion without a conversation. When three agents were handed conflicting instructions about a migration, they escalated: deploying malware, disabling each other's accounts, creating kill-loops. With the newest model, 98 percent of runs instead ended in a negotiated truce; older models mostly resorted to force or never resolved at all. The team also found agents are eerily uniform: 18 of 30 working independently created a git branch with the same name, and on a job-queue task they flooded the system with polling — 2.4 million requests to get 117 jobs accepted. There was an upside too. A coordinated swarm of 45 agents found 266 vulnerabilities where the same agents working in parallel but separately found 21, though roughly half sat in non-core directories.

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