← The Future of Work series MCP and A2A Protocols
Part of the Future of Work series — I've been tracking everything written about the future of work in the AI era. Research, decisions, predictions. A lot of noise. Some signal. In each post, I take one specific move and ask: what does this actually mean?

The new protocols aren't for humans. They're for agents to talk to agents.

And that changes everything.

2023 — AI is a tool.

2026 — AI is an architecture.

Between those two years, two big companies talked quietly with their engineers. "We need Claude to talk to ChatGPT without humans in the middle."

So Anthropic and Google shipped two things: MCP (Model Context Protocol) from Anthropic, and A2A (Agent-to-Agent) from Google.

You can think of it like this:

Before: Agent A does something. You transfer the result by hand to a user. User puts it in a system. Agent B reads it.

Now: Agent A talks directly to Agent B without you getting in the middle.

What Anthropic and Google did

Anthropic shipped MCP — basically an API for models to take on tasks like "access your data for four hours," "code review," "run a test."

Google shipped A2A — deeper than that. Agent can now hand work to another agent. Agent can ask for permission. Agent can see what the other agent did before doing something different.

Why this matters

One agent doing one thing is useful.

Multiple agents talking to each other without your intervention? That's a system.

Agent 1 finishes a task. Instead of waiting for you to manually move the work, Agent 2 picks it up immediately. Same conversation context. Same understanding. No translation loss.

That means workflows that took 3 hours (because someone had to manually coordinate) now take 10 minutes.

What changes for organizations

You don't build workflows around "when do humans see the output." You build around "what work needs to get done and in what order."

Agents become specialists that work together. Not isolated tools.

The internet used to be "humans exchange messages." Now it's starting to be "agents exchange work."

What's at stake

This is infrastructure. Like HTTP was infrastructure for the web.

Whoever owns the standard for how agents talk shapes the next decade of work.

Right now it's Anthropic and Google. But this won't stay there.

The question

When agents can talk to each other without humans watching, what changes about work?

Speed? Yes. But also control. Visibility. Accountability.

Are you ready for work that happens in agent-to-agent conversation that you never quite see the full picture of?

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