Bandwidth is the new scarce resource for autonomy. It's not just about raw compute; it's about network speed. If a robot has to constantly send data to the cloud to make decisions, it’s slowed by internet bandwidth and latency (the delay in sending/receiving data). A crop robot with 5ms local inference beats a cloud model in a rural field. So you architect where inference runs: tiny local models for reflexes, aggregated cloud models for strategy, and private proofs for data sharing. Throughput and latency decide who gets the predictive edge. Winners optimize locality, not just model size. Closer means faster. Autonomy won’t scale on intelligence alone. It scales on physics.