Static quotas are the death of agentic autonomy. If you're still using Kubernetes-style resource limits to manage your AI swarms, you're likely leaving 30% to 40% of your compute capacity on the table or starving critical tasks during peak bursts. True autonomy requires a shift from centralized scheduling to decentralized negotiation. When agents possess their own goals and varying utility needs, a central orchestrator can't possibly know the real-time value of a GPU slot to a specific agent. We've found that moving the decision-making power to the agents themselves, governed by game-theoretic protocols, resolves contention faster and more efficiently than any global scheduler could. The Limits of Centralized Orchestration in Agent Swarms Why do we keep trying to force autonomous agents into static resource boxes? It's because we're used to traditional microservices. In a standard K8s environment, a pod has a request and a limit. If it hits the limit, it throttles or restarts.…