Microsoft is integrating Google's Agent2Agent (A2A) protocol into its AI development platforms, Azure AI Foundry and Copilot Studio. This move signifies Microsoft's commitment to fostering…
Microsoft is integrating Google's Agent2Agent (A2A) protocol into its AI development platforms, Azure AI Foundry and Copilot Studio. This move signifies Microsoft's commitment to fostering interoperability between AI agents, allowing them to communicate and collaborate across different platforms, clouds, and services.
By supporting A2A, Microsoft aims to enable the creation of more collaborative, observable, and adaptive AI systems that can operate seamlessly across various domains and ecosystems. The company is also contributing to the A2A working group on GitHub to further develop the protocol and related tools.
The A2A protocol, introduced by Google, facilitates the exchange of goals and actions between AI agents, providing developers with interoperable components to ensure secure collaboration. With A2A support in Azure AI Foundry and Copilot Studio, agents built on these platforms will be able to leverage external agents for various tasks, regardless of their origin.
This means a Microsoft agent could, for example, interact with a Google agent to schedule meetings and draft emails, streamlining workflows and enhancing productivity. Microsoft emphasizes that this approach will allow customers to create complex, multi-agent workflows that span internal agents, partner tools, and production infrastructure while maintaining governance and service-level agreements.
This adoption of A2A aligns with the broader industry trend toward shared agent protocols. Agentic technology is gaining traction, with a recent KPMG survey indicating that 65% of companies are experimenting with AI agents. The AI agent segment is projected to experience substantial growth, with Markets and Markets forecasting an increase from $7.84 billion in 2025 to $52.62 billion by 2030.
Microsoft's decision to embrace A2A also follows its earlier integration of Anthropic's MCP standard for connecting AI to data systems in Copilot Studio, demonstrating a broader strategy of supporting open standards to enhance AI interoperability.