Microsoft is setting the stage for a new chapter in AI innovation, with a bold focus on AI agents intelligent systems capable of making decisions, automating tasks, and working across digital environments. At Build 2025, the company unveiled a wide range of tools, updates, and vision statements that highlight how AI agents will soon play a central role in how we work, code, and solve real-world problems.

AI Agents: The New Digital Workforce

We’ve officially entered the era of AI agents. Thanks to new breakthroughs in memory, reasoning, and orchestration, AI systems are becoming more capable, context-aware, and useful. Whether it's helping a developer write cleaner code or allowing healthcare workers to cut down administrative tasks, AI agents are transforming how we approach everyday work.

More than 15 million developers are already using GitHub Copilot, and companies are seeing real results. With features like agent mode, code review automation, and real-time troubleshooting, developers can stay in the flow longer and focus on what matters most.

AI Across Industries: From Coding to Healthcare

Microsoft’s AI tools are already being used across industries.

• Fujitsu and NTT DATA are building custom AI agents with Azure AI Foundry to speed up client insights, improve proposal writing, and prioritize sales.
• Stanford Health Care is testing Microsoft’s healthcare agent orchestrator to streamline tumor board prep and reduce admin work for doctors and nurses.
• Over 230,000 organizations including 90% of the Fortune 500 have created custom AI agents with Microsoft Copilot Studio, demonstrating the widespread trust in the platform.

GitHub Copilot: Evolving into an AI Coding Partner

Microsoft is taking GitHub Copilot to the next level. What started as a simple in-editor assistant is becoming a full asynchronous coding agent. With new features like prompt management, enterprise controls, and lightweight evaluations, developers can now experiment and scale their AI workflows within GitHub itself.

Microsoft also announced that GitHub Copilot Chat is now open source in VS Code, a huge move that reinforces its commitment to open development.

Windows AI Foundry: A Local and Cloud-Friendly AI Platform

Windows AI Foundry provides a unified space for developers to run, train, and fine-tune models using simple APIs for both vision and language tasks. Whether you're deploying locally or in the cloud, it gives you the flexibility to build your own solutions using open-source LLMs or proprietary models.

Azure AI Foundry: Expanding the Ecosystem

The updated Azure AI Foundry now includes.

• Grok 3 and Grok 3 Mini models from xAI, hosted by Microsoft.
• Access to over 1,900 AI models from partners and Microsoft.
• New tools like Model Leaderboard and Model Router to help choose the best model for any task.

Developers now have more choice, governance, and insight into how models perform in real time.

Enterprise-Grade Agents and Trustworthy Deployment

AI agents are only as valuable as the trust they inspire. That’s why Microsoft is launching tools to manage, govern, and secure AI agents from the start.

• Azure AI Foundry Agent Service allows the orchestration of multiple agents to perform complex tasks.
• Semantic Kernel + AutoGen SDKs help developers create agents easily.
• Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) are now supported.

To manage agent identity and reduce risk, Microsoft introduced Microsoft Entra Agent ID. These agents can also benefit from Purview compliance tools for security and privacy.

Copilot Tuning & Multi-Agent Orchestration

With Copilot Tuning, organizations can now train Copilot agents using their own data, workflows, and policies. This allows for domain-specific AI agents that operate securely within the Microsoft 365 boundary.

Plus, multi-agent orchestration in Copilot Studio enables teams to create agents that can collaborate, pass tasks between one another, and solve more complex challenges.

Building the Open Agentic Web

Microsoft is committed to supporting open standards for AI.

• Model Context Protocol (MCP) is now supported across GitHub, Azure AI, Windows, and more.
• Microsoft and GitHub have joined the MCP Steering Committee, helping guide secure adoption.
• New contributions include an updated authorization framework and an MCP registry service for public and private agent listings.

Introducing NLWeb: HTML for the Agentic Web

Microsoft also introduced NLWeb, a new open project designed to make websites AI-agent-friendly. Just like HTML brought structure to the web, NLWeb allows sites to host natural language interfaces powered by the model of their choice, with their own data.

Each NLWeb endpoint is also an MCP server, making site content easier to discover and use by agents.

Accelerating Scientific Discovery with Microsoft Discovery

AI’s potential in science is limitless. With the new Microsoft Discovery platform, researchers can leverage agentic AI to speed up R&D, uncover insights faster, and shorten the time to market for new medicines, products, and technologies.

This platform is built for flexibility and scale, empowering scientific teams across industries.

The Road Ahead

Microsoft’s Build 2025 announcements point to a future where AI agents aren’t just add-ons they’re core components of digital transformation. Whether you're a developer, a business leader, or a scientist, these tools are designed to help you invent the next big thing.

As Satya Nadella said, "Developers are at the center of this transformation." With new models, platforms, protocols, and security in place, Microsoft is giving them everything they need to build the agentic future.