Reps. Jay Obernolte and Lori Trahan have introduced the Great American AI Act to establish a national regulatory framework for artificial intelligence. The legislation targets high-revenue developers and seeks to pause state-level AI laws for a period of three years.

The $500 Million Threshold for Frontier Developers

The Great American AI Act distinguishes between general software and high-impact systems by defining "frontier AI model developers" as companies with annual revenues exceeding $500 million. According to the report, these specific entities would be subject to rigorous oversight, including the requirement to publish a frontier AI framework that discloses deployment decisions, cybersecurity measures, and potential catastrophic risks.

To manage this oversight, the bill codifies the Center for AI Safety and Innovation (CAISI) within the Commerce Department .. Frontier developers must submit detailed safety reports to CAISI before releasing new models and are required to report any accidents directly to the agency to ensure federal transparency.

A $1 Million Penalty for Safety Failures

To verify the claims made by developers, the bill proposes the use of independent verification organizations licensed by CAISI to conduct safety audits. As reported, these audits are designed to identify critical safety incidents,and any failure to account for a potential hazard could result in civil penalties of $1 million per infraction.

This auditing regime has already sparked pushback from industry groups. These organizations argue that aggressive data-sharing requirements and external audits could jeopardize private records and expose proprietary trade secrets to competitors or government overreach.

The Three-Year Moratorium on State AI Laws

The most contentious element of the Great American AI Act is a three-year moratorium on state-level AI regulations. This preemption clause is intended to prevent a fragmented "patchwork" of laws across different states, but it has drawn sharp criticism from advocacy groups like the Tech Oversight Project, which claims the bill replaces a "state floor with a federal ceiling."

The bill further centralizes power by allowing the federal government to freeze or override state lawsuits filed by attorneys general if the federal government decides to file its own case. This creates a legal environment where federal interests can effectively silence state-led efforts to protect consumer privacy or civil rights.

NSF Scholarships and the Workforce Research Hub

Beyond safety and legal preemption, the legislation focuses on the long-term societal shift caused by automation. The bill directs the National Science Foundation (NSF) to incentivize AI-related initiatives in K-12 and higher education through the creation of new fellowships and scholarships.

Additionally, the act proposes the establishment of a Workforce Research Hub. this hub, managed by designated statistical agencies, would be tasked with evaluating the impact of AI on employment and proposing specific measures to mitigate the displacement of human workers.

The Gap Between Federal Standards and State Privacy Rights

This legislative push reflects a broader global trend of attempting to balance rapid technologiccal innovation with public safety, echoing previous struggles to regulate the early internet. However, a significant question remains: can the federal government actually recruit and maintain a "robust enforcement workforce" capable of auditing the world's most complex neural networks?

Furthermore, the bill's current structure leaves it unclear how specific state protections for child safety and civil rights will be mirrored at the federal level. Because the source reports primarily on the framework's structure and the objections of the Tech Oversight Project, it remains to be seen if the sponsors will add specific safeguards to appease state lawmakers.