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Microsoft Transforms Windows Into AI Agent Platform

PYMNTSOriginal Link2 minutes
ArtificialIntelligence
Microsoft
Windows

Microsoft is reshaping Windows into an AI-driven platform, integrating agentic capabilities to revolutionize user interactions and enterprise workflows.

Microsoft is making a historic shift by turning Windows into an agentic AI platform, marking one of the most significant changes in the operating system’s history. At Microsoft Build 2025, CEO Satya Nadella emphasized the need to reconfigure legacy internet systems to accommodate the next wave of AI agents.

Key Announcements:

  • Agentic Web Vision: Nadella described the current phase as the "middle innings" of AI adoption, where practical implementations take shape. Microsoft aims to build an open, agentic web by 2025.
  • Model Context Protocol (MCP): Developed by Anthropic, MCP is being embedded into Windows, enabling AI agents like GitHub Copilot to perform tasks such as installing software, accessing files, and interacting with apps—with user consent.
  • Foundry Local: A new tool allowing AI features to run offline, enhancing speed and privacy. It’s integrated into Windows and designed for AI-powered PCs.
  • Copilot Tuning: Enterprises can now customize AI agents using their own data, ensuring industry-specific expertise.
  • NLWeb: An open standard transforming websites into agentic platforms. For example, Tripadvisor is adopting NLWeb to enable AI agents to book trips autonomously.

Industry Impact:

According to PYMNTS Intelligence, MCP is a "game-changing technology" that outperforms manual processes, particularly in back-office operations. Nearly two-thirds of product leaders are leveraging GenAI for innovation, per PYMNTS data.

Quotes:

  • Satya Nadella: "We’re building out this open agentic web at scale."
  • Kevin Scott (Microsoft CTO): NLWeb is "HTML for the agentic web."

For more on AI’s role in payments, read Payments Execs on Agentic AI.

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About the Author

Dr. Emily Wang

Dr. Emily Wang

AI Product Strategy Expert

Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.

Expertise

AI Product Management
User Experience
Business Strategy
Market Analysis
Experience
10 years
Publications
65+
Credentials
2

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