Subvolts take Microsoft CEO Satya Nadella details massive AI datacenters and AGI business strategies. Nov 12, 2025 - Developers
- Learn about the massive hardware infrastructure and potential future AI services you might build upon.
- Business
- Understand Microsoft's strategic investments in AI hardware and its vision for AGI business models.
This episode features a direct, first-hand account from Microsoft's CEO about the company's massive AI infrastructure and future strategy.
Satya Nadella — How Microsoft is preparing for AGI
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Satya Nadella discusses Microsoft's AGI preparations in this 88-minute Dwarkesh Podcast episode. He reveals details about Microsoft's new Fairwater 2 datacenter, which houses hundreds of thousands of NVIDIA GB200 and GB300 chips and has over 2 GW of capacity. Nadella also addresses business models for AGI, Copilot's role, and the future of hyperscale computing.
Microsoft's CEO talks about building huge new data centers filled with powerful AI chips. He explains how these centers will help run future AI services and discusses new ways companies can make money from advanced AI.
This episode offers a rare, direct look into Microsoft's AGI strategy from its CEO. Listeners learn about the immense hardware infrastructure Microsoft is building, including the new Fairwater datacenters, and how the company views AGI's business implications. It's essential for anyone tracking the AI hardware race and the evolving economics of AI services, particularly those interested in how a major cloud provider is positioning itself for the next era of AI.
- HostDwarkesh Patel
- GuestSatya NadellaCEO, Microsoft
- Guest: Satya Nadella
- Title: Satya Nadella — How Microsoft is preparing for AGI
- Show: Dwarkesh Podcast
- Length: 88 minutes
- Fairwater 2 Capacity: over 2 GW of total capacity
- Fairwater 2 Hardware: hundreds of thousands of GB200s & GB300s
As part of this interview, Satya Nadella gave Dylan Patel (founder of SemiAnalysis) and me an exclusive first-look at their brand-new Fairwater 2 datacenter.
Microsoft is building multiple Fairwaters, each of which has hundreds of thousands of GB200s & GB300s. Between all these interconnected buildings, they’ll have over 2 GW of total capacity. Just to give a frame of reference, even a single one of these Fairwater buildings is more powerful than any other AI datacenter that currently exists.
Satya then answered a bunch of questions about how Microsoft is preparing for AGI across all layers of the stack.
Watch on YouTube; read the transcript.
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Timestamps
(00:00:00) - Fairwater 2
(00:03:20) - Business models for AGI
(00:12:48) - Copilot
(00:20:02) - Whose margins will expand most?
(00:36:17) - MAI
(00:47:47) - The hyperscale business
(01:02:44) - In-house chip & OpenAI partnership
(01:09:35) - The CAPEX explosion
(01:15:07) - Will the world trust US companies to lead AI?
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
- AGI
- Satya Nadella
- Artificial General Intelligence, a hypothetical AI that could perform any intellectual task a human can.
- GB200s & GB300s
- Satya Nadella
- Specific, powerful computer chips designed for AI tasks, made by NVIDIA.
- GW
- Satya Nadella
- Gigawatts, a unit of power, indicating a very large amount of electrical energy.
- hyperscale
- Satya Nadella
- Operating at a massive scale, typically referring to large cloud computing infrastructure.
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Questions people ask
- What is Fairwater 2?
- Fairwater 2 is Microsoft's brand-new datacenter, described as more powerful than any other existing AI datacenter. It houses hundreds of thousands of GB200s & GB300s and has over 2 GW of total capacity.
- What business models for AGI are discussed?
- The episode touches upon business models for AGI, though specific details are not provided in the show notes. It also discusses the hyperscale business and whose margins might expand.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Dwarkesh Patel.