The House Subcommittee on Innovation, Data, and Commerce held a hearing titled "Building an AI-Ready America: Understanding AI’s Economic Impact on Workers and Employers." It was the kind of hearing that should have happened two years ago. The fact that it is happening now tells you everything about how fast Congress moves versus how fast AI does.

Subcommittee Chairwoman Lisa McLain convened the session to examine how artificial intelligence is reshaping the American workforce. The witnesses included representatives from major tech companies who had pledged to Congress that AI deployment would come with worker protections and retraining commitments. The message from the chair was direct: "These are serious commitments. This forum is an opportunity for you to make them directly to Congress and to the workers, journalists, and creators whose livelihoods depend on whether those promises are kept."

Translation: We know you made promises. We want you on the record.

The Numbers Are Already In

This hearing does not exist in a vacuum. Over 52,000 tech workers lost their jobs this year with AI cited as the leading reason. A Gallup survey found that half of American workers are actively ignoring the AI tools their companies paid millions to deploy. Stanford’s AI Index, released this week, showed China erasing America’s AI lead in key research metrics. And PwC found that only 20% of companies are generating any return from AI investments, but that 20% is capturing nearly three-quarters of all the value.

In other words: AI is destroying jobs faster than it is creating them, most companies cannot figure out how to use it, and the few that can are pulling away from everyone else. That is not a workforce transition. That is a workforce fracture.

The Real Question Congress Should Be Asking

"Building an AI-Ready America" is a nice title. But the uncomfortable truth is that AI is not waiting for America to be ready. Companies are deploying AI agents at scale right now. McKinsey found that two-thirds of companies have tried AI agents, but fewer than 10% got any value from them. The gap between AI capability and AI competence is the defining economic problem of this moment.

Congress has introduced 47 AI bills this session. It has passed zero. States are filling the vacuum. New York just overhauled its RAISE Act with transparency requirements for frontier AI developers. Missouri is stalling its own AI legislation because rural lawmakers fear it could cost the state $900 million in federal broadband funding. Maryland is regulating AI in healthcare while Virginia has paused everything.

The patchwork is getting worse, not better. And every month that Congress holds hearings instead of passing legislation is another month where companies set the rules by default.

The hearing matters because it puts tech executives on the record. But hearings are not policy. And workers who are already losing their jobs to AI do not need their representatives to understand the problem. They need their representatives to do something about it.