Dan Nathan is joined by Steve Milunovich, a tech investor and retired sell-side analyst from Merrill Lynch. The discussion delves into the parallels between the AI boom and the dotcom era, touching on technological waves from the 1980s to the present. Milunovich highlights similarities such as early-stage winners, heavy capital expenditures, and the emergence of application layers later on. They also discuss the circular financing in the tech industry and potential risks, including heavy reliance on significant players like Nvidia and issues surrounding supply constraints. The conversation explores the broader implications of AI across various industries, including financial institutions and industrials, and considers the timeline for wider adoption and monetization of AI technologies. The dialogue is framed by historical context, with references to past tech bubbles, network effects, and the potential for new winners in unexpected sectors.

Show Notes

AI: The Wrong Kind of Bubble (Breadcrum.vc)
Meta inks deal to pay Corning up to $6 billion for fiber-optic cables in AI data centers (CNBC)
AI productivity is about to become visible and investable (FT)

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