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Microsoft adopts Google's standard for linking up AI agents
Microsoft says that it's embracing Google's recently launched open protocol for allowing AI "agents" to communicate with each other. On Wednesday, Microsoft announced that it would bring support for Google's Agent2Agent (A2A) spec to two of its AI development platforms, Azure AI Foundry and
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The walled garden cracks: Nadella bets Microsoft's Copilots -- and Azure's next act -- on A2A/MCP interoperability
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Microsoft CEO Satya Nadella's endorsement of Google DeepMind's Agent2Agent (A2A) open protocol and Anthropic's Model Context Protocol (MCP) will immediately accelerate
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Microsoft Backs Google's Open Agent2Agent Protocol to Power Multi-Agent AI Apps
This enables AI agents to collaborate across platforms, clouds, and organisations. Microsoft is expanding support for Google's open AI agent interoperability protocol with the upcoming integration of Agent2Agent (A2A) in Azure AI Foundry and Copilot Studio. This move enables AI agents to
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Microsoft backs Google's vision for AI agent interoperability
Microsoft is adopting Google's open protocol, Agent2Agent (A2A), for linking AI "agents" to communicate with each other. The company announced on Wednesday that it will bring support for A2A to Azure AI Foundry and Copilot Studio, its AI development platforms. A2A, launched by Google in early
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Microsoft announces support for Google's Agent2Agent (A2A) protocol in its AI platforms, signaling a major shift towards open standards in AI agent communication and collaboration across different ecosystems.

In a significant move towards open standards in AI, Microsoft has announced its adoption of Google's Agent2Agent (A2A) protocol, a framework designed to enable communication between AI agents across different platforms and ecosystems
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. This decision marks a pivotal shift in the AI landscape, promoting interoperability and collaboration among AI systems.The A2A protocol, unveiled by Google in early April, allows AI-powered semi-autonomous programs to work together across various clouds, apps, and services. It facilitates the exchange of goals and invocation of actions between agents, providing developers with interoperable components to ensure secure collaboration
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.Microsoft plans to integrate A2A support into two of its key AI development platforms: Azure AI Foundry and Copilot Studio
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. This integration will enable AI agents built using these platforms to interact with external agents, including those created with other tools or hosted outside Microsoft's ecosystem3
.Microsoft CEO Satya Nadella emphasized the importance of open protocols like A2A and MCP (Model Context Protocol) in enabling the "agentic web"
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. The company views this development as part of a larger trend in "agentic computing," which it believes will fundamentally change how software is developed and deployed3
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This move has significant implications for enterprise AI adoption. By supporting A2A, Microsoft is addressing concerns about vendor lock-in and enabling customers to build complex, multi-agent workflows that span internal systems, partner tools, and production infrastructure while maintaining governance and service-level agreements
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.The adoption of open standards like A2A also simplifies compliance and security auditing. It provides end-to-end visibility of data flow between agents, helping organizations track information exchange and ensure data privacy compliance
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.Microsoft's endorsement of A2A is expected to accelerate the development and adoption of agentic AI-based collaboration and interdependence. It sets a new precedent for open agentic standards in the industry and could lead to the creation of entirely new apps, platforms, and networks
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.The agentic AI market is projected to grow significantly, with Markets and Markets forecasting an increase from $7.84 billion in 2025 to $52.62 billion by 2030
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. Microsoft's commitment to open architectures and interoperability positions it well to capitalize on this growth while fostering innovation across the AI ecosystem.Summarized by
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