Nobody Ran on the Robot Economy

The most consequential technology transition since electrification was on no one's ballot this month.

I don't say that as a partisan; I say it as an observation about both platforms. We argued about the price of eggs and the border. We did not argue about what happens to forty million knowledge workers when reasoning engines cost twenty dollars a month, or to three million drivers when the robotaxi maps expand. The election that will preside over the steepest part of the capability curve was contested on the economy of 2019.

History says this is normal — and that normal is the problem. The Luddite uprisings weren't caused by looms; they were caused by a government that spent decades pretending the looms changed nothing, then sent troops when the pretending stopped working. "Plan before the pain" isn't a slogan. It's the lesson of every transition we've botched.

Meanwhile, the plumbing arrived

Away from the headlines, Anthropic released something with a deeply unsexy name: the Model Context Protocol. It's a standard that lets AI models plug into tools, databases, and applications the way USB let devices plug into computers. Remember the name. Capability gets the keynotes, but integration is what moves employment numbers — and this month the integration layer went from bespoke to standardized. Every enterprise system that adopts a connector becomes agent-operable. That is how "AI could do this job in theory" becomes "the agent has been doing it since Q3."

Actionable Steps

If you work in or around government: the window for designing transition policy in calm weather is open now and will not stay open. Income-floor pilots, portable benefits, retraining that actually retrains — these take years to stand up. If you lead a company: watch the MCP ecosystem; your integration roadmap is about to get shorter, and your workforce plan needs to keep pace with it. If you're a citizen: start asking candidates — at every level — one question. "What is your plan for the automation transition?" Make them practice answering it.

The machines didn't wait for the election. Neither should the planning.