When AI Learns to Ship: The Real Story Behind A2A

Why today's A2A announcement isn't about agents talking to agents—it's about software learning to work together, and what happens when protocols emerge faster than we can plan them.

Something happened today that feels bigger than its technical specifications. Google released the Agent-to-Agent (A2A) protocol, and while fifty-plus major companies have already signed on, the protocol itself isn't the story. The timing is.

Just yesterday, I wrote about Model Context Protocol (MCP) and how it fundamentally changes how AI systems use tools. The dust hasn't even settled on that shift—we're still learning what it means to let AI systems reason about their tools instead of following rigid scripts. And yet here we are, watching the next wave crash before the first one has even reached shore.

This isn't normal enterprise software evolution. This is something else. Something faster, more organic, more alive.