▶ 27:08 · AI Economics & Business Models · GPU debt pricing decomposes into hyperscaler credit + neocloud execution risk, enabling forward curve

episode briefing

Ep. 021 - The AI Project Trinity: Capital, Offtake, Data Center (Datacenter, Energy)

2026-07-23 · 9 company · 8 thematic

sentiment

3 bull1 bear5 neu

speakers

dan

Dan (Dan Nishbal) leads the SemiAnalysis team's work on Cloud TCO (Total Cost of Ownership) analysis. He frames the $11T AI capex problem, the $7.1T debt financing need, and the trinity of capital/offtake/data center. He previously wrote about Nvidia as the 'central bank of AI'.

jordan

Co-host who shares Apple design reactions and WWDC observations from team members.

kong

Analyzes GPU loan pricing, credit spreads, and debt structures for neoclouds; breaks down CoreWeave debt pricing and DSCR analysis for bank lending.

kungwen

Kungwen (from Singapore team) presents the credit spread decomposition analysis for GPU project finance, breaking down CoreWeave debt pricing into risk-free rate, hyperscaler credit risk (Meta 97bps), neocloud execution risk (105bps), and unsecured premium. He tracks bank lending standards and DSCR requirements.

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