Gabriel Pimenta de Freitas Cardoso

Agreed. And the part that isn't priced in yet: a fleet of agents makes per-token cost scale linearly with the business. At some point large enterprises stop paying that curve and bring the models in-house — which doesn't remove the cost, it just trades a vendor price list for a utilization number. And agent fleets are brutal on utilization: real-time inference under latency SLAs, batch jobs, retraining, evals — all bursty, all fighting over the same finite pool. Managing the fleet is going to be, in large part, a GPU scheduling problem.