Trump Warns Congress Wants to Regulate AI 'Out of Business' as NIST Unveils New Evaluation Guidelines

On August 7, 2026, President Donald Trump sat down with Punchbowl News for a wide-ranging interview that touched on the SAVE America Act, Iran policy, and judicial nominations. But it was a brief exchange about artificial intelligence that sent ripples through the tech policy world. When asked about congressional inaction on AI regulation, Trump offered a blunt assessment: the U.S. Congress, he said, wants to regulate the AI industry “out of business.”

The comment, first reported by Reuters and amplified across major outlets including Quartz and Yahoo News, crystallized a tension that has been building since the start of Trump’s second term. On one side stands an administration committed to a light-touch, innovation-first approach to AI governance. On the other, a growing bipartisan chorus in Congress — and a patchwork of state legislatures — pushing for guardrails on the most powerful technology since the internet.

The Comment and Its Context

Trump’s remark came in response to questions about the lack of comprehensive federal AI legislation. Rather than expressing concern about the absence of a regulatory framework, the president suggested that congressional inaction might actually be preferable to the alternative. According to Punchbowl News, Trump said he “isn’t too worried about congressional inaction on artificial intelligence” — implying that doing nothing could be better than doing something harmful.

The framing echoes a familiar deregulatory philosophy. Throughout his second term, Trump has consistently positioned himself as a defender of American AI innovation against what he characterizes as overreach by both federal lawmakers and state governments. The message to the tech industry has been clear: build freely, and the federal government will shield you from regulatory headwinds.

But the comment also revealed frustration. Trump’s own administration has spent months crafting a detailed legislative framework for Congress to follow — the National Policy Framework for Artificial Intelligence, released in March 2026 — yet Capitol Hill has been slow to act. The president’s “out of business” line was as much a jab at Congress’s regulatory instincts as it was a signal to the AI sector that the White House remains firmly in their corner.

NIST Steps In With Evaluation Guidelines

The same day Trump’s interview went public, the National Institute of Standards and Technology (NIST) proposed new federal guidelines for evaluating AI systems. The guidelines, open for public comment, represent a more technical and procedural approach to AI governance — one that operates through standards and best practices rather than hard legislative mandates.

NIST’s proposed framework focuses on how federal agencies should assess AI systems for safety, reliability, fairness, and security before deploying them. It builds on the agency’s earlier AI Risk Management Framework (AI RMF), which has served as a voluntary resource for organizations since 2023. The new proposal would give the guidelines more teeth by tying them to federal procurement and deployment decisions.

The timing was notable. While Trump was downplaying the need for congressional regulation, his own executive branch was quietly advancing a standards-based approach to AI oversight. This dual track — rhetorical deregulation paired with incremental technical governance — has become a hallmark of the administration’s AI policy.

The State Preemption Battle

To understand the significance of Trump’s August 7 comments, it helps to rewind to December 2025, when the president signed an executive order titled “Eliminating State Law Obstruction of National Artificial Intelligence Policy.” The order directed federal agencies to identify and challenge state AI laws that impose “undue burdens” on AI development and deployment — effectively laying the groundwork for federal preemption of state-level regulation.

States have not waited for Washington. California’s SB 1047 (and its successors), Colorado’s AI Act, and a flurry of legislation in New York, Illinois, and Texas have created a fragmented regulatory landscape that the tech industry has lobbied aggressively to harmonize — or, more precisely, to override with a single, permissive federal standard.

In March 2026, the White House released its National Policy Framework for Artificial Intelligence, a legislative blueprint urging Congress to preempt state AI laws across eight key policy areas: AI development, deployment transparency, content provenance, liability frameworks, child safety protections, intellectual property, free speech considerations, and national security. The framework explicitly calls for ensuring that “State laws do not govern areas better suited to the Federal Government or act contrary to the United States’ national strategy.”

Georgetown’s Center for Security and Emerging Technology (CSET) analyzed the framework in detail, noting that it carves out three areas where states would be explicitly prohibited from legislating: the development of AI models, the use of AI systems in certain contexts, and liability rules for AI-related harms. The effect would be to create a regulatory floor — and, critics argue, a ceiling — that prevents states from imposing stricter requirements.

Critics Push Back

Not everyone is convinced that the administration’s approach serves the public interest. The Electronic Privacy Information Center (EPIC) published a sharp critique titled “White House AI Framework Protects AI Companies, Not People,” arguing that the framework’s preemption provisions would “nullify hard-won state protections” and leave consumers without recourse when AI systems cause harm.

EPIC and allied civil society organizations have pointed to documented cases of algorithmic discrimination in hiring, housing, and criminal justice as evidence that voluntary frameworks and self-regulation are insufficient. They argue that the administration’s rush to preempt state laws would eliminate the few meaningful guardrails that currently exist.

Industry groups, meanwhile, have largely cheered the administration’s direction. Tech trade associations have warned that a patchwork of 50 different state regulatory regimes would impose crippling compliance costs and stifle innovation — particularly for startups and smaller companies that cannot afford armies of lawyers to navigate conflicting requirements.

What Comes Next

Trump’s “out of business” comment may prove to be more than just a headline. It signals that the White House is prepared to use its bully pulpit — and potentially its veto pen — to shape whatever AI legislation eventually emerges from Congress. Lawmakers on both sides of the aisle have introduced bills ranging from the AMERICA AI Act to various sector-specific proposals, but none has yet mustered the bipartisan support needed to reach the president’s desk.

Meanwhile, NIST’s public comment period on its evaluation guidelines will run through the fall, giving stakeholders from industry, academia, and civil society an opportunity to weigh in on the technical details. The guidelines are expected to be finalized by early 2027 and could become a de facto standard for how AI systems are assessed across both the public and private sectors.

The broader question is whether America’s experiment in light-touch AI governance will prove sustainable as models grow more powerful and their societal impacts more pronounced. OpenAI’s recent disclosure that its upcoming Astra model may have reached “critical” cybersecurity capabilities — the first to trigger the highest risk tier under the company’s own safety framework — suggests that the technology is outpacing even the most carefully crafted voluntary standards.

For now, the administration’s message remains consistent: regulate too much, and you regulate innovation out of existence. Whether that calculus holds as AI capabilities continue their vertiginous climb is the defining question of American technology policy in 2026.