Dan Nathan interviews Paul Kedrosky about the AI-driven surge in non-residential fixed investment and why today’s data-center buildout resembles prior overbuild cycles like railroads and fiber. Kedrosky argues the current moment is unusually risky because it combines technology hype, loose credit, government-policy urgency, and real-estate speculation (including “powered land/shells”), with more hyperscaler data-center spend now externally financed. He discusses Nvidia’s growing role as a potential single point of failure via ecosystem financing, and warns that large language models are rapidly commoditizing as performance converges and token prices deflate, pressuring heavily levered players. Kedrosky expects neoclouds to be squeezed as marginal suppliers, while hyperscalers like Microsoft, Amazon, and Google benefit by hosting many models and providing enterprise distribution. He also rejects “SaaSpocalypse” extinction claims, predicting compression in SaaS pricing rather than collapse.
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