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EP12 - Google Agent2Agent (A2A): The Future Of AI Agent Protocols Or A Flop?
Google’s Agent2Agent (A2A) is a brand new protocol to facilitate communication between independent AI agents—but what does this actually mean?
Imagine waking up to a push notification that your fridge has been restocked, your flight’s been rerouted around bad weather, and your taxes were filed—all while you were sleeping. No apps. No tabs. Just invisible agents handling your life. Sounds futuristic? In this episode of In The Loop, I dig into what could make that scenario a reality: Google’s new Agent-to-Agent protocol, or A2A.
This isn’t just a nerdy dive into AI plumbing—this is the foundation that might define how AI agents talk, collaborate, and make your digital life seamless. We explore why A2A could become the “HTTP for AI,” how it works with the Model-Context Protocol (MCP), and why it matters for developers, companies, and, yep, even governments. If you're building in the AI space or just fascinated by how the future gets built, you’re gonna want to listen to this.
Episode Highlights
(01:00) - A recap of multi-agent systems
(02:50) - Why Google’s Agent2Agent (A2A) protocol is crucial for the next phase of agentic AI
(06:55) - Orchestrator agents and what can go wrong when agents don’t work together
(09:50) - The key components of the A2A protocol
(12:05) - What the A2A protocol means to You: the future of personal assistants—and the dark side of this innovation
(18:40) - Where does this leave us? Will A2A become widely adopted or will it flop?
Links & Resources
👀 Related episodes you might like
EP8 - Model Context Protocol (MCP): The Newest AI Buzzword Explained
EP6 - Multi-Agent Systems: The Next Big Shift In AI—Yet People Have No Clue About Them
EP3 - The Real AI Challenge: Designing Human-Agent Interfaces That Work
📕 Book recommendation
AI 2041: Ten Visions for Our Future by Chen Qiufan and Kai-Fu Lee
📖 Read the written version of this episode on the Mindset AI blog (with all relevant links and resources). Read here.
If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀
View all episodes
By Jack HoughtonGoogle’s Agent2Agent (A2A) is a brand new protocol to facilitate communication between independent AI agents—but what does this actually mean?
Imagine waking up to a push notification that your fridge has been restocked, your flight’s been rerouted around bad weather, and your taxes were filed—all while you were sleeping. No apps. No tabs. Just invisible agents handling your life. Sounds futuristic? In this episode of In The Loop, I dig into what could make that scenario a reality: Google’s new Agent-to-Agent protocol, or A2A.
This isn’t just a nerdy dive into AI plumbing—this is the foundation that might define how AI agents talk, collaborate, and make your digital life seamless. We explore why A2A could become the “HTTP for AI,” how it works with the Model-Context Protocol (MCP), and why it matters for developers, companies, and, yep, even governments. If you're building in the AI space or just fascinated by how the future gets built, you’re gonna want to listen to this.
Episode Highlights
(01:00) - A recap of multi-agent systems
(02:50) - Why Google’s Agent2Agent (A2A) protocol is crucial for the next phase of agentic AI
(06:55) - Orchestrator agents and what can go wrong when agents don’t work together
(09:50) - The key components of the A2A protocol
(12:05) - What the A2A protocol means to You: the future of personal assistants—and the dark side of this innovation
(18:40) - Where does this leave us? Will A2A become widely adopted or will it flop?
Links & Resources
👀 Related episodes you might like
EP8 - Model Context Protocol (MCP): The Newest AI Buzzword Explained
EP6 - Multi-Agent Systems: The Next Big Shift In AI—Yet People Have No Clue About Them
EP3 - The Real AI Challenge: Designing Human-Agent Interfaces That Work
📕 Book recommendation
AI 2041: Ten Visions for Our Future by Chen Qiufan and Kai-Fu Lee
📖 Read the written version of this episode on the Mindset AI blog (with all relevant links and resources). Read here.
If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀