Edwards is pushing a thesis that increasingly looks correct: AI's binding constraints have migrated from software to the physical layer — power, cooling, memory and packaging are now the real ceilings. The week he describes, from a Nadella meeting to a GTC panel slot, suggests hyperscalers and NVIDIA treat materials as strategic, not niche. There's an elegant loop here — using AI to design the very materials AI infrastructure needs — though note the messenger: a materials-AI founder naturally frames materials as the bottleneck. The hard part remains lab-to-fab: discovering a material in simulation is one thing, manufacturing it at datacenter scale is another. Still, as compute demand outruns energy supply, expect materials startups to attract serious capital.