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In the latest 20VC conversation, David Kahn of Sequoia confirms that the AI market is unmistakably in a bubble, but the real opportunity lies in the downstream effects on compute economics. Over‑production of GPU capacity has driven down per‑unit costs, lifting gross margins for firms that consume large amounts of compute. This price compression, Kahn argues, is a silver lining for venture‑backed companies that can leverage cheaper infrastructure to accelerate product development and scale faster than competitors.

Beyond the abstract hype of models and data, the discussion pivots to the physical reality of AI: massive data‑center construction. Kahn describes the supply chain bottlenecks—generator shortages, steel scarcity, and gigawatt‑scale power contracts—as a new moat for firms that can navigate the logistics. Vertical integration is becoming the norm, with OpenAI, Anthropic and other labs investing in custom chips and dedicated power assets. This trend not only secures capacity but also shields companies from volatile market pricing, making construction expertise a strategic differentiator in the AI ecosystem.

The episode also tackles the human side of the AI surge. Sky‑high compensation packages for elite researchers signal both desperation and a belief that a single talent can shift probability curves for trillion‑dollar outcomes. While Kahn acknowledges the psychological bias in over‑estimating individual impact, he stresses that founder‑led CEOs, like Meta’s Mark Zuckerberg, can still drive long‑term value despite short‑term missteps. Ultimately, Kahn advises investors to balance the short‑term bubble dynamics with a multi‑decade view, betting on the winners who can survive today’s volatility and shape AI’s generational transformation.