The Physical Layer
Fabs, process nodes, packaging, HBM, equipment - why only a handful of companies can make any of it.
Every engineered system runs with margin - headroom between what it does today and what it physically cannot exceed. When that margin runs out, roadmaps slip, capex gets rewritten, and the demo that went viral quietly never ships.
Fabs, process nodes, packaging, HBM, equipment - why only a handful of companies can make any of it.
Power, cooling, materials, capacity. What is actually constraining AI buildouts, and what breaks next.
What a robotics demo does and does not prove, and what would have to become true for it to ship.
All three end in the same place: what it means for margins, capex, and the companies you may own.
Language models train on text that already existed. The dataset robotics calls large-scale and in-the-wild is 350 hours, produced by 50 people over a year.
Charging a humanoid takes less time than draining it, so energy is not the ceiling. Three battery swaps a shift are, and neither maker says who does them.
Gripper makers rate hands in cycles, not years. So throughput and wear are one variable, and the case for faster robots is a case for faster wear.
China's control list names terbium- and dysprosium-bearing magnets, not plain NdFeB. What decides which one a robot needs is heat in the joint.