The real bottleneck for humanoid robotics isn't mechanical engineering—it's trust infrastructure.

Inference Labs has pinpointed something crucial: you can iterate on hardware all day, but scaling autonomous agents across industrial environments demands something far harder to build. A verifiable trust layer.

Take Xiaomi's roadmap. Deploying humanoids across factories in five years sounds ambitious on the hardware front. But machinery can be replicated. What can't be scaled as easily? The accountability framework. When thousands of units operate simultaneously, every decision needs to be traceable, every failure logged, every action verifiable.

This mirrors challenges we see across decentralized systems: scale requires trust, trust requires transparency, and transparency demands infrastructure.

The companies that crack this—pairing silicon with proof systems—won't just own the robotics space. They'll own industrial automation's nervous system.