When the Price Signal Outruns the Capability Signal
A $4,900 humanoid robot is a manufacturing achievement. The question the price tag cannot answer is what the robot does once it arrives. The broader market context makes this gap concrete: Goldman Sachs projects 50,000–100,000 unit shipments in 2026, and the physical AI market is forecast to expand from $5 billion to $68–84 billion by 2034 — projections that rest on an assumed software trajectory that the engineering community has not yet delivered. The hobbyist and open-source tier compounds the confusion: Asimov's $15,000 DIY humanoid kit is explicitly labeled "Here Be Dragons" by its own developers, a candid admission that the workbench and the warehouse are not the same place. The institutions tracking this space — labs, analysts, trade press — are producing projections from the cost curve. The engineers closest to the dexterity problem are the ones naming dragons.