Rep. Liccardo Blasts Congress Inaction on AI Regulation

The artificial intelligence industry is moving faster than Washington can think. While some of the field's most prominent leaders have begun calling for deliberate slowdowns in AI development—a remarkable moment of self-restraint in a sector built on speed—Congress remains paralyzed by competing anxieties. Lawmakers cannot agree on whether the government should regulate AI at all, let alone how to do it without ceding technological ground to China, which has made AI supremacy a national priority.

Rep. Sam Liccardo, a California Democrat, has grown impatient with this stalemate. He joined CBS News to voice frustration at what he sees as a fundamental abdication of responsibility. While industry figures are at least having the conversation about safety and the need to pump the brakes, Congress is doing what Congress often does when faced with complex, fast-moving problems: nothing. "Instead, in Congress, we see vacation," Liccardo said, his exasperation evident. The remark cuts at a deeper problem than mere scheduling—it reflects a legislature that has not yet found the political will or consensus to act on one of the defining technological questions of the era.

The tension Liccardo is highlighting is real and not easily resolved. Regulators and lawmakers face a genuine dilemma. Move too aggressively to constrain AI development and the United States risks falling behind China in a competition that many national security experts believe will shape global power for decades. Move too slowly or not at all, and the country leaves itself exposed to AI systems that could cause serious harm—whether through bias, misuse, or unforeseen consequences of systems operating at scale without adequate safeguards. Other democracies, notably the European Union, have already moved to establish regulatory frameworks. The U.S. approach remains undefined.

What makes the current moment unusual is that parts of the AI industry itself are signaling that some form of constraint is necessary. This is not a case of regulators trying to impose rules on an unwilling sector. Instead, prominent AI researchers and company leaders have begun advocating for development slowdowns, suggesting that the pace of progress has outstripped the ability of safety researchers to understand and mitigate risks. This alignment between some industry voices and safety advocates creates a rare opening for policy action—yet Congress has not seized it.

Liccardo's criticism points to a broader failure of legislative capacity. The House and Senate have committees tasked with technology oversight, but they have struggled to produce coherent AI policy. Part of the problem is that AI regulation touches nearly every domain of government concern: national security, consumer protection, labor, intellectual property, and more. There is no obvious home for comprehensive AI policy, and the fragmented approach that has emerged—with different committees claiming jurisdiction over different aspects—has produced gridlock rather than progress.

The stakes are not abstract. As AI systems become more capable and more widely deployed, decisions made now about how they are developed, tested, and deployed will have consequences for years to come. A regulatory vacuum does not mean no rules apply; it means rules will be written later, often in response to crises, and often less thoughtfully than they might have been if Congress had acted proactively. Liccardo's frustration is not merely partisan complaint. It reflects a real gap between the pace of technological change and the pace of democratic deliberation.