The AI Agent Feeding Frenzy: What Happens When Autonomous Systems Compete for the Same Resources?

This article discusses a critical but often overlooked risk in enterprise AI: the 'feeding frenzy' where multiple autonomous agents, each behaving reasonably within their own limits, collectively exhaust shared resources like API quotas, GPU pools, budgets, and credentials. It argues that per-agent rate limits are insufficient, and organizations need hierarchical consumption controls, admission control, circuit breakers, and isolation boundaries to prevent systemic failures. The piece frames this as a distributed systems and platform governance problem rather than a model misbehavior issue, emphasizing the need for a resource control plane that governs aggregate agent behavior across the fleet.