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Open Weights Kill the Moat

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U.S. AI companies were financed on the expectation that frontier models would create monopolistic, high-margin businesses, but open-weight models—many from Chinese labs—are rapidly commoditizing AI capabilities. This shift threatens the trillion-dollar capital investments and valuations built on the assumption of durable moats. As technological scarcity fades, American capital is likely to pursue regulatory barriers, vertical integration, and market segmentation to protect returns.

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Warman
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Essay · AIThe Moat or the CommonsAmerican capital financed AI on the assumption it would be the next great monopoly. Open-weight models are commoditizing the capability that monopoly was supposed to protect. The collision between the two now defines the direction of the U.S. AI industry — and the country.By Shaun WarmanMonday, April 27, 202610 min readTL;DR — TakeawaysU.S. frontier labs trade at valuations that assume monopoly-grade rents in the post-apprenticeship phase. The financial structure cannot survive a commodity outcome.Open-weight models — DeepSeek, Qwen, Kimi, GLM — running on the LangChain, vLLM, llama.cpp, and Ollama stack are commoditizing capability faster than the closed labs can deepen the moat.When technology cannot manufacture scarcity, American capital reaches for…

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