CONCEPT
AI Infrastructure Concentration
The structural feature of the AI economy by which frontier capability is produced by a small number of firms in a small number of countries, producing global dependencies unlike prior technology waves.
The AI industry's economics produce concentration on a scale that exceeds every prior technology cycle. The capital required to train frontier AI models is measured in billions of dollars per training run. The energy consumption of AI data centers has become a meaningful fraction of national energy budgets. The talent pool capable of building and maintaining frontier models is concentrated in a handful of institutions. The supply chain for specialized chips runs through a single company — TSMC in Taiwan — whose geographic location introduces geopolitical risk. The result is an ecosystem in which AI capability is produced by a small number of firms, concentrated primarily in the United States and China, upon which the rest of the world depends as a consumer of cognitive infrastructure it did not create and cannot modify.
In The You On AI Field Guide
The concentration differs from prior technology concentrations in a specific way. Mobile infrastructure, though initially concentrated, could be replicated locally —