All-In debates how compute, models, software, and data divide AI’s value

In this All-In Podcast episode, Jason Calacanis, David Friedberg, David Sacks, and guest Brad Gerstner use four fresh events—a Google AI leadership shake-up, SpaceX’s first public quarter, Airtable’s sale to Bending Spoons, and reports that Chinese labs buy US-produced training data—to debate where AI’s economic advantage is moving. Their disagreement is the useful part: some see frontier intelligence as a premium market, while others expect open models and infrastructure to commoditize more of it, and the Airtable and China-data stories extend the argument into software valuations and geopolitics. It matters because choices about capex, model ownership, data access, and distribution increasingly determine which companies capture AI value.