Middleboro Review 2: Congress must act now on AI

Sunday, May 31, 2026

Congress must act now on AI

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Congress must act now on AI

May 31, 2026

By Lori Trahan

When Brooks Brothers shut down its longtime clothing factory in Haverhill in 2020, it didn't just close a building. It ended careers that workers had spent decades building and sent a familiar shudder through Merrimack Valley communities like Lowell and Lawrence that know all too well what boarded up mill buildings leave behind.

The company cited costs. To them, the math was simple, even if here at home, we knew the human toll was not.

After decades of offshoring and automation hollowing out American manufacturing, the workers left behind in Haverhill didn't need a study to tell them what was coming. They needed Congress to act years before they got handed pink slips.

On artificial intelligence, we still have a chance to move before similar damage is done, but that window is closing faster than most people realize.

Earlier this year, Anthropic unveiled Mythos, an AI model capable of identifying thousands of vulnerabilities across every major operating system and web browser. It was deemed too dangerous for public release, but that has not stopped competitors from racing to catch up, or our adversaries from trying to access it. The speed of AI development means Mythos represents a floor on what these systems can do. The models will only get more powerful, and the risks to America’s workers, national security, and cyber infrastructure will only grow.

Despite these flashing warning lights, there is no federal law on the books governing how the most powerful AI systems in the world are built, tested, or deployed. No independent auditors verify the safety claims of the largest AI companies, commonly referred to as “frontier” labs. No federal agency has clear authority to step in when something goes wrong. While some have argued there is still plenty of time for Congress to act, I would say, look around.

New and recent college graduates are struggling to find work in their fields, facing higher unemployment rates than the broader workforce. Across the economy, workers are asking the same hard questions. Will the job they do today exist in five years? Will the prosperity this technology generates reach them or bypass them entirely, just like the promises of globalization did?

At the same time, our adversaries are racing to build and deploy AI systems capable of undermining our military advantage, penetrating our critical infrastructure, and eroding the democratic institutions that define us.

After Mythos, I went to work trying to change that. I entered negotiations with my Republican colleague on the House Energy and Commerce Committee, Congressman Jay Obernolte of California, to build a bipartisan federal AI framework. Those talks have been hard and remain unfinished, but they have made something clear: The basic architecture of serious AI governance is within reach. There is more bipartisan agreement on the fundamentals than people might expect.

Here is where that consensus lives.