David Cahn, Sequoia Capital partner and author of the '$600 billion question' framework, argues the AI industry must generate hundreds of billions in annual revenue just to cover its infrastructure costs, a threshold no current product has come close to hitting.
The conversation is worth reading in full not for the conclusion but for Cahn's breakdown of each major player's strategic position: why OpenAI, Anthropic, Google, Meta, Microsoft, Amazon, Apple, Nvidia, and SpaceX are making structurally different bets, and how the AGI narrative is the mechanism keeping capital flowing despite no clear payback timeline. The investment-timeline mismatch risk he describes is the buried lede here.
What comes next is the question Cahn cannot fully answer: whether proprietary chips and AI talent concentration can compress costs fast enough to close the revenue gap before investor patience runs out. That tension is what makes this worth 60 minutes of your time.
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