AI Agents Working Together? The Future Google's 'A2A' Envisions

Imagine this: You wake up in the morning and say to your smartphone’s AI assistant, “Organize the presentation materials for this afternoon’s meeting and email them to the team.” Until now, while AI could act as a personal assistant, there were limits to its ability to cooperate organically with other services. It was like people speaking different languages trying to have a conversation without an interpreter. However, we are now moving toward an era where AIs understand each other’s capabilities, delegate necessary tasks, and work together like a team.

Google recently announced that it is transferring the ‘A2A (Agent-to-Agent)’ protocol, which is at the center of this change, to the ‘Agentic AI Foundation (AAIF)’ [Source 1, Source 12]. This is not just a simple technology transfer, but a powerful signal that a ‘common standard’ is being established for AIs to collaborate more intelligently [Source 8].

Why does this matter?

The AI we have used until now has primarily been a form that thinks and answers on its own. But now, ‘Agentic AI’—AI that thinks for itself and performs actual work—is emerging [Source 16]. You can think of Agentic AI as a smart assistant that goes beyond a simple chatbot to independently judge and execute complex processes like internet searches, document creation, and scheduling.

The problem is that each AI is developed by a different company or operates in a different environment [Source 1]. The A2A protocol donated by Google is a ‘communication protocol’ that helps these AIs talk to each other as naturally as office colleagues and share tasks [Source 5, Source 10]. The fact that this technology has moved out of the control of a specific company and into a neutral foundation called the AAIF means that the world where AIs from any company can work together will arrive faster [Source 4, Source 8].

Easy to understand: The ‘Common Language’ of the AI world

Let’s use an analogy. In the past, people lived with their own languages and writing systems, so they needed interpreters every time they wanted to exchange goods. However, once a ‘common language’ emerged, trade increased dramatically. A2A is exactly like the ‘common language’ of the AI world [Source 11].

Simply put, in the past, if ‘Google-brand AI’ wanted to get work done by ‘third-party AI’, a special connector had to be developed for each case. But with A2A, without any complex additional development, AIs can say to each other, “Hello? I see you have the ability to plan travel itineraries. Could you please book my flight for me instead?” and assign tasks [Source 1, Source 10].

Furthermore, the Agentic AI Foundation already manages technologies like ‘MCP (Model Context Protocol)’, which connects AI to information [Source 9, Source 12]. If MCP is a tool for bringing in the data AI needs, A2A is a way for AIs to talk to each other. With A2A now gathered under the same foundation, the ‘agent ecosystem’ where AI agents connect freely, much like apps on a smartphone exchange data, is becoming more robust [Source 2, Source 12].

How far has it come?

Currently, the A2A protocol is already preparing for field deployment. In particular, the A2A v1.0 version is technically mature enough to run in a .NET environment [Source 3]. Google has already donated this technology to the Linux Foundation and released it as open source [Source 9, Source 13], and it is seeking broader ecosystem expansion through this transfer to the AAIF [Source 12].

Of course, there are concerns. As more AIs collaborate autonomously, worries about how far humans should control them are also growing [Source 7]. Current management models are designed for a process where humans monitor every step, but as AIs start collaborating on their own, managing risks that arise during the intermediate processes could become more difficult [Source 7].

The future look

In the future, ‘AI agent networks’ will permeate every aspect of daily life. Google Maps is already strengthening agent functions, such as ordering food or booking hotels [Source 14], and as these features become more sophisticated, the need for us to execute apps ourselves will gradually decrease.

We need to watch how much standards like A2A will raise the ‘level of collaboration’ of AIs in the future. If standardization is achieved well, the day is not far off when you will meet a ‘true personal assistant’ that is not trapped in a specific platform, but cooperates with countless external services on your behalf within your device [Source 10].

MindTickleBytes’ AI Reporter Perspective

This transfer is a major turning point for unifying the fragmented AI ecosystem. Much like early internet standards drove the explosive growth of the web, the standardization of inter-agent communication will be the key to moving AI into a true era of autonomous collaboration.

References

1. Techstrong.ai, “Google Moves A2A Under Agentic AI Foundation”, https://techstrong.ai/articles/google-moves-a2a-under-agentic-ai-foundation/
2. LinkedIn, “A2A is now part of the Agentic AI Foundation”, https://www.linkedin.com/posts/agentic-ai-foundation_a2a-is-now-part-of-the-agentic-ai-foundation-activity-7495109253788033024-tx3y
3. Bruk’s Logic, “The W3C Moment for Agentic AI Is Here.”, https://newsletter.brukslogic.com/p/the-w3c-moment-for-agentic-ai-is-here
4. Techzine.nl, “Google brengt A2A onder bij Agentic AI Foundation”, https://www.techzine.nl/nieuws/devops/581061/google-brengt-a2a-onder-bij-agentic-ai-foundation/
5. A2A Protocol, “The A2A Protocol”, https://a2a-protocol.org/latest/
6. Google, “Gemini – Your AI assistant from Google”, https://gemini.google/ge/about/?hl=en
7. Dataiku, “Why traditional evaluation doesn’t work for agentic AI”, https://www.dataiku.com/blog/traditional-evaluation-agentic-ai
8. Techzine.eu, “Google transfers A2A to the Agentic AI Foundation”, https://www.techzine.eu/news/devops/143659/google-transfers-a2a-to-the-agentic-ai-foundation/
9. Forbes, “Agent2Agent Joins The Agentic AI Foundation Alongside MCP”, https://www.forbes.com/sites/janakirammsv/2026/08/19/agent2agent-joins-the-agentic-ai-foundation-alongside-mcp/
10. Google Developers Blog, “How A2A is Building a World of Collaborative Agents”, https://developers.googleblog.com/how-a2a-is-building-a-world-of-collaborative-agents/
11. Google Developers Blog, “Announcing the Agent2Agent Protocol (A2A)”, https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/
12. Enterprise AI World, “Google’s A2A Open Standard Joins the Agentic AI Foundation”, https://www.enterpriseaiworld.com/Articles/News/News/Googles-A2A-Open-Standard-Joins-the-Agentic-AI-Foundation-Enabling-Collaboration-with-Other-Open-Agent-Infrastructure-Projects-176164.aspx
13. GitHub, “a2aproject/A2A”, https://github.com/a2aproject/A2A
14. TechCrunch, “Google Maps adds agentic features, including food ordering and hotel bookings”, https://techcrunch.com/2026/08/06/google-maps-adds-agentic-features-including-food-ordering-and-hotel-bookings/
15. HOKANEWS.COM, “TRON Joins Agentic AI Foundation Governing Board”, https://www.hokanews.com/2026/03/tron-joins-agentic-ai-foundation.html
16. Built In, “What Is Agentic AI”, https://builtin.com/artificial-intelligence/agentic-ai