Who's Actually Funding the AI Buildout?

ℹ️ EPISODE INFO

Released

February 26, 2026

Duration

36m

Channel

No Priors

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

By the end of 2026, AI capital expenditure is projected to hit nearly $700 billion. The question isn’t who has the best model, but who has the most creative financing to build out AI infrastructure and beyond. Sarah Guo is joined by Neil Tiwari, Managing Director at Magnetar Capital, a financial innovator helping the AI industry scale from billions to trillions of dollars in CapEx. Neil explains some of the debt structures used to finance massive GPU clusters, who is taking the risk, and how the industry is maturing. Sarah and Neil also discuss how power distribution, energy storage, and physical materials like steel are the bottlenecks of the AI industry. Plus, Neil gives his take on the future of inference-optimized clouds, and why the market shift away from software and into infrastructure might be an overreaction. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil Chapters: 00:00 – Cold Open 00:05 – Neil Tiwari Introduction 00:26 – Magnetar’s Story 01:28 – Why CoreWeave Helped Magnetar Win 06:15 – Scaling CapEx Efficiently 09:02 – Debunking GPU Collateral Risk 11:42 – How Deal Structures Evolve 13:01 – What Bottlenecks Buildout 15:28 – Circular Financing Critiques 17:35 – The Shift from Training to Inference Workloads 23:10 – AI Factories 24:12 – Constraints of the Current Power Grid 28:27 – Sovereign Compute Buildouts 29:54 – Physical AI Capital Needs 32:48 – The Capital Rotation Away from SaaS 36:04 – Conclusion

🎤 SPEAKERS

• Sarah Guo

  host

• Neil Tiwari

  guest

🧾 EPISODE SUMMARY

In this episode of No Priors, featuring Sarah Guo and Neil Tiwari, Who's Actually Funding the AI Buildout? explores financing AI compute: structuring capital, scaling power, and infrastructure bottlenecks Magnetar Capital’s Neil Tiwari outlines how AI infrastructure has become a trillion-dollar CapEx buildout problem where capital structure—not just chips—determines who can scale.

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