Microsoft CTO Kevin Scott: AI Models Are Already More Capable Than Products Show
every · x · 2026-08-13
Microsoft CTO Kevin Scott dives deep into the infrastructure and future evolution of AI agents in a podcast discussion.
Key Takeaways
- The Capability Overhang: AI models are currently much more capable than what is being utilized in product-building. Scott argues that the industry's primary challenge right now is closing this gap, rather than just scaling up bigger models.
- The Agentic Web: Drawing parallels to the early internet's need for HTTP and HTML, Scott emphasizes the need for specific infrastructure for agents. He highlights MCP (Modern Context Protocol)—adopted by OpenAI, Google, and Microsoft—and Microsoft's NLWeb project.
- Openness vs. Security: Scott calls the tradeoff between openness and security a "false dichotomy." He bets that AI agents equipped with risk assessment capabilities can make open ecosystems just as secure as closed ones.
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