Thematic investment analysis reveals severe infrastructure constraints in AI computing networks, highlighting market shifts toward power, cooling, and grid equipment through 2040.
The Physical Cost of Intelligence is an independent thematic investment research report examining how the rapid growth of artificial intelligence is reshaping the physical infrastructure behind computing. The study traces the investment chain from AI demand and data-center expansion to electricity generation, grid constraints, transformers, cooling systems, construction, and distributed power. It evaluates major public companies positioned across these bottlenecks, compares their growth visibility, valuation, execution risks, and strategic advantages, and develops scenario-based outlooks through 2040. The central conclusion is that the next phase of the AI investment cycle may increasingly reward the companies that power, connect, cool, and build the infrastructure required to turn digital intelligence into usable capacity.
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Tauseef Khan (2026) studied this question.
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