Great Models Aren't Enough for Physical AI (opens in new tab)

Physical AI is advancing quickly, but deployment remains constrained by the real world. At a dinner with founders and engineering leaders, one theme emerged repeatedly: success depends less on model quality and more on solving safety, regulation, operations, and data challenges. Teams that invest early in telemetry, observability, compliance, and operational infrastructure will be positioned to scale beyond prototypes and into production.