The future of compute resource management is about to shift dramatically. Rather than having teams manually negotiate compute spend and navigate convoluted, inflexible contracts—bypassing tedious procurement workflows—frontier AI labs, AI product builders, and compute infrastructure providers will increasingly deploy autonomous agents running dedicated compute trading desks. These agents dynamically acquire and liquidate compute resources in real-time based on demand fluctuations, optimizing costs and utilization. This represents a fundamental move toward programmatic, AI-driven infrastructure management. Big training runs, inference scaling, and resource allocation become truly fluid and efficient—no more human bottlenecks or rigid contractual constraints holding back innovation.