Signals

The Race tracks one central question:

Is AI concentrating power or dispersing capability?

This page applies that question to current events and real-world examples. It is the observation layer of the site: short, grounded, and meant to show how the framework appears in public decisions, market moves, infrastructure projects, workplace changes, policy fights, and institutional choices.


What Counts as a Signal

A Signal is a short interpretation of something happening now.

It might be a news story, a public contract, a company decision, a state law, a school policy, a local land-use fight, a new AI tool, an infrastructure project, or a workforce shift.

Each Signal asks:

What happened? Who gained capacity? Who lost agency? Who gets to decide?

Some Signals will lean toward concentration. Some will lean toward dispersion. Many will be mixed.

That is the point. The race is not decided by one story. It is revealed through patterns.


Signal Articles

This section will collect short articles applying the framework to real developments.

When Google Becomes the Way Through the Web

Google’s AI announcements are not just a product story; they are a concentration signal. As Google embeds AI into search, shopping, ads, work, and developer tools, it may become less like a doorway to the web and more like the way people move through it.

California Is Starting to Build Civic Infrastructure for AI

California has not solved AI governance. But it may be starting to build something more important: the civic scaffolding needed to understand AI, use it responsibly, hear from the public, and prepare workers before disruption hardens into crisis.

Simply Having AI Won’t Be Enough. Implementation Will Matter.

This small signal is an early example of a bigger issue I expect to return to often: implementation capacity. The race will not turn only on who has access to AI, but on whether cities, schools, nonprofits, small businesses, and other institutions can use AI in practical, accountable ways that improve real processes rather than deepen dependency on vendors and platforms.

Everyone Wants AI. Nobody Wants the AI Factory Next Door.

AI may feel weightless on a phone or laptop, but its physical footprint is becoming a local political fight over land, water, power, pollution, and who pays for the infrastructure behind it.