AI Lab Revolution: How OpenAI, Anthropic, and Block Are Shaping the Future of Agentic AI

Tuesday, 9 December 2025, 17:06

AI lab initiatives from OpenAI, Anthropic, and Block aim to redefine the landscape of artificial intelligence. These tech giants are collaborating to develop open-source agentic technologies, amplifying the role of AI in everyday applications while fostering interoperability across platforms.
Wired
AI Lab Revolution: How OpenAI, Anthropic, and Block Are Shaping the Future of Agentic AI

Transforming AI Interaction

AI lab activities led by OpenAI, Anthropic, and Block are heralding a new era in artificial intelligence with the establishment of the Agentic AI Foundation under the Linux Foundation. This collaborative venture is designed to significantly enhance the interoperability of AI systems.

What Is the Agentic AI Foundation?

The foundation is primarily focused on promoting open standards for agentic technologies, like Anthropic's Model Context Protocol (MCP), OpenAI's Agents.md, and Block's Goose. By facilitating open-source development, the foundation aims to standardize how AI agents communicate and interact.

Key Technologies and Their Impact

  • Model Context Protocol (MCP) for seamless integration of AI systems.
  • Agents.md enabling AI programs to define interaction rules.
  • Goose, a framework allowing AI agents to perform tasks efficiently.

According to Nick Cooper of OpenAI, adopting these open standards is crucial for encouraging broader engagement with agentic AI, leading to innovative applications across sectors.

Industry Backing and Future Implications

Not just the founding companies, but major players like Google, Microsoft, and AWS have endorsed this initiative, signifying a potential shift toward collaborative approaches in the tech industry.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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