Staff Reports
The Stanford Digital Economy Lab’s new open statement, “We Must Act Now,” is the latest plea to Washington to rewrite the rules before the future arrives. That letter says “AI may become radically more powerful over the next 10 years,” and it gathered big-name economists and tech figures. That sounds serious. It also sounds like a lot of people asking the government to bet the farm on a guess.
What the Stanford letter actually asks
The Stanford statement is short and stark. It warns that AI could reshape the economy fast and urges policymakers to prepare now. Hundreds of signers, including top economists and lab leaders, lent their names to the appeal. The ask is not for an immediate shutdown of AI labs. It is for fast institution-building, taxes, training, and other guardrails to steer whatever comes next.
Why the government is already jumping in
You do not have to imagine regulators moving at lightning speed. Recent actions show the government is already treating possibility like reality. Commerce officials pressed export controls that forced a major AI lab to limit access to its top models. That move sparked legal fights and a scramble to figure out who gets what. Even the White House and Defense Department are on the stage. That is how a hypothetical becomes a policy tool overnight.
The real problem: policy built on fears, not facts
Here is the conservative case in plain words: panic is not a plan. Too many policymakers want to act on what AI might do, not what it is doing now. When you look at the data, the massive job losses and economic collapse some predict have not shown up. AI data centers have boosted local tax bases and housing values. Entry-level jobs are growing at firms that adopt AI tools. Worse, overbroad rules now will choke off the very innovation that creates jobs and lifts living standards.
A smarter conservative approach
Conservatives should push for measured, evidence-based policy. Watch the data. Fix real problems — fraud, bias in specific systems, bad actors — with narrow rules instead of one-size-fits-all bans. Support market-led retraining, private investment in workforce skills, and liability rules that hold bad actors accountable without wrecking innovation. And if officials want to restrict exports or models, demand clear legal authority and careful review, not emergency theater. We should be skeptical of sweeping mandates built on “may” and “could.” The free market and human ingenuity deserve the chance to adapt, not the heavy hand of a precautionary state.
