SK Hynix announced a $10 billion AI infrastructure vehicle this week, while SK Group and NVIDIA are jointly building a 50,000-GPU AI factory in Korea aimed at robotic self-optimizing fabs by 2027. The chip layer of the embodied AI build is being priced in. But chips don't build robots. Teams do, and the bottleneck for physical AI is not silicon, it's the very thin layer of people who can train policy models, manage hardware fleets, and run real-world deployments without burning two years and fifty million dollars to get to a working prototype. That cohort gravitates toward leverage. Traditional venture capital takes quarters to deploy and demands single-digit percentage stakes in return. Onchain capital formation moves in days, is fractionally ownable across global backers, and lets founders share in the upside of what they actually build rather than the upside of the next funding round. For a robotics team, that's the difference between owning a meaningful share of a hardware-heavy company and owning a sliver of a diluted cap table. This is the structural bet behind Eastworlds. Hardware and teleoperation infrastructure are pooled, so teams don't need to raise capital just to acquire a fleet. They reach the field faster, on capital structures the venture path cannot offer. The chip cycle has priced in compute. The talent layer that turns those chips into deployable robots has not.(Virtuals Protocol)