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The SpaceX IPO, Fable 5, AI Capex Update & Market Check w/ Gavin Baker, Andrew Fox & Clark Tang | BG2

This podcast episode features a panel discussion on the upcoming SpaceX IPO, analyzing its valuation through the lenses of its core businesses and emerging AI compute capabilities. The conversation also covers the latest developments in frontier AI models, the economics of massive capital expenditure, and the competitive landscape between open-source and proprietary systems.
The panel argues that SpaceX's valuation is justified by Starlink's projected revenue growth and its nascent but powerful AI compute business, dubbed 'Elon Web Services.' They highlight Elon Musk's ability to rapidly deploy GPU clusters, enabling SpaceX to resell compute at high premiums and potentially become a major hyperscaler. The discussion also explores the economics of orbital data centers, which could be significantly cheaper than terrestrial ones due to Starship's reusability. On the AI front, the group debates the frontier model race, noting that new models like Fable 5 and Mythos are extending their lead despite difficulties in evaluation. They argue that frontier models capture 90% of revenue, driven by long-running agent tasks that consume massive tokens. The panel defends massive AI CapEx, asserting that revenue estimates are too low and that demand far outstrips supply, with less than 0.2% of people using AI agentically. They conclude that AI companies are on track to add a trillion dollars in revenue in half the time it took the Magnificent 7.
00:00
00:00
SpaceX is a must-own for space and AI investors.
03:13
03:13
55% IRR on Colossus I
13:28
13:28
SpaceX is reselling AI compute to Google and Anthropic.
24:35
24:35
Two-stage reusability reduces cost per kg from $1,500 to under $250.
26:01
26:01
Orbital data centers cost $5B per gigawatt vs $20-25B terrestrially
29:25
29:25
The model is the most overlooked upside for the SpaceX IPO.
35:05
35:05
SpaceX is a must-own for institutional investors
42:10
42:10
Benchmarks shift from snapshots to long-running tasks.
49:56
49:56
Long-running agents will drive massive token consumption
51:00
51:00
Frontier models capture 90% of revenue while open-source handles 80% of tokens.
1:06:57
1:06:57
Demand is outstripping supply
1:18:13
1:18:13
AI companies forecast to add a trillion in half the time