Google has just launched Agent2Agent, an open protocol that allows intelligent agents—even those built by different developers—to collaborate and communicate across technical barriers and competing frameworks. It’s like robots from every company suddenly speaking the same language. And the list of backers is impressive: Salesforce, SAP, PayPal, Atlassian, ServiceNow, Workday, and even consulting giants like Accenture, Deloitte, and McKinsey.
At the core of it all is A2A. Here’s how it works: agents “discover” each other, understand each other’s capabilities, divide tasks, and cooperate on complex workflows—without sharing memory or context, and without any human in the loop. It’s a kind of distributed intelligence where every agent does its part autonomously. And we’re not just talking about chatbots anymore—A2A can manage entire processes, like hiring, from candidate screening to background checks, all between agents.
This is a step beyond Anthropic’s MCP protocol, which focuses on agent-to-tool interactions. Agent2Agent plays on another level: AI-to-AI collaboration, no humans involved.
The stakes are high. Right now, most AI systems still live in silos. But if those walls fall and AI agents truly start working together, everything changes: agents solving complex problems as a team, integrating seamlessly into enterprise architecture, becoming invisible infrastructure. Agent2Agent isn’t just a protocol—it’s the first building block of a global AI network. And those who join early may end up leading it.
