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The Semiconductor Chokepoint

The extraordinary concentration of frontier AI chip manufacturing—a single design company, a single fabrication company, a single lithography equipment manufacturer, with critical inputs from a handful of states—that makes the entire physical foundation of the AI revolution vulnerable to disruption at any single link in the chain.
The most complex manufactured object in human history is a leading-edge semiconductor. The process of creating one involves more than a thousand individual steps, takes approximately three months from bare silicon wafer to finished chip, and requires equipment so precise that a single particle of dust can render an entire wafer defective. At the center of this process sits a concentration of production so extreme that it has no parallel in any other critical industrial supply chain: NVIDIA designs approximately 80 to 90 percent of the GPUs used for AI training and inference; Taiwan Semiconductor Manufacturing Company fabricates essentially all of them; ASML, the sole manufacturer of the extreme-ultraviolet lithography machines required to pattern the circuits, produces fewer than 200 such machines—each costing $380 million, weighing 180 tons, requiring multiple 747 cargo flights to ship, and containing over 100,000 components from hundreds of suppliers. Smil's method of following any
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