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Microsoft CEO Says Outcome Based Pricing Fails When Customers See Value

No Priors Podcast · The Rise of the Full-Stack Builder and Hyper-Leveraged Generalist with Microsoft CEO Satya Nadella · June 8, 2026
Microsoft CEO Says Outcome Based Pricing Fails When Customers See Value
No Priors Podcast
No Priors Podcast
The Rise of the Full-Stack Builder and Hyper-Leveraged Generalist with Microsoft CEO Satya Nadella
"Most people love outcomes until they have an outcome, because once you have an outcome, it's like giving away royalty. I've talked to customers who love outcome-based pricing and I say, I'm all in until they, oh my God, like, what are you talking about? You're sharing in my outcome? No, no, no. I want you to go back to per-user pricing."
Nadella revealed a paradox in AI pricing models where enterprise customers enthusiastically support outcome-based pricing until they actually achieve valuable results, at which point they resist sharing those outcomes with vendors. This observation suggests subscription and consumption-based models will persist despite industry discussion of value-based alternatives.

About this episode

Microsoft CEO Satya Nadella joined hosts Swyx Patel and Elad Gil for a crossover episode of No Priors and Latent Space following Microsoft Build 2025, delivering one of his most detailed explanations yet of how enterprises will capture value in the AI era. Nadella argued that private evaluation systems and institutional knowledge captured through agent traces will become the most valuable intellectual property companies possess—potentially important enough to appear on corporate balance sheets where human capital never could. He revealed Microsoft built more Azure infrastructure capacity in the last 15 months than in its first 15 years combined, an unprecedented buildout reflecting massive AI compute demands. Nadella positioned Microsoft's strategy around enabling every company to operate at the frontier with their own intelligence rather than depending on a single model provider, using multimodal harnesses, proprietary tools, and context layers. He shared how Microsoft's own Azure networking team transformed their work by building an agentic system called Miles, shifting from performing operations to creating meta-systems that automate work—and requesting token budgets instead of headcount. On business models, Nadella described a paradox where customers enthusiastically support outcome-based pricing until they achieve results, then resist sharing value with vendors. He warned the tech industry can no longer rely on promises of future benefits and must deliver tangible community-level outcomes including jobs, energy grid improvements, and measurable economic value, or risk losing social and political permission to continue. The conversation covered Microsoft's MAI model training strategy emphasizing clean lineage and hill-climbing scaffolds, the unbundling and rebundling of SaaS applications in an agentic world, and predictions for new types of engineering roles focused on agent management and infrastructure science.

Key takeaways

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