Bipartisan Approach to AI Regulation: A Sectoral Framework for Innovation

Obernolte: Bipartisan, Sector-by-Sector AI Regulation Is the Way Forward

Rep. Jay Obernolte, R-Calif., is advocating for a federal artificial intelligence (AI) regulatory framework that emphasizes sector-by-sector oversight. This approach aims to establish the Center for AI Standards and Innovation (CAISI) while allowing states to legislate without infringing on federal authority over interstate commerce.

Obernolte is actively seeking bipartisan support to advance this regulatory framework as independent legislation. He is reportedly collaborating with the Trump administration on an AI regulation bill, emphasizing the need for cooperation between Democrats and Republicans.

Sectoral Regulatory Approach

During the Incompass Policy Summit in Washington, Obernolte highlighted the importance of a sectoral regulatory approach to AI. He noted the FDA’s experience, stating, “The FDA has already issued thousands of permits for the use of AI in medical devices, which is probably the highest risk usage you can think of.” He further explained that a model may be “unacceptably risky” in one context, such as a pacemaker, but “completely benign” in another, like a video game.

Obernolte pointed out that this sectoral regulation is not a new concept for the Trump administration; it aligns with the initiatives of the Biden administration. The U.S. AI Safety Institute has been developing an inventory of relevant tools, standards, and methodologies for AI, which has continued under the new name, CAISI.

Regulatory Toolbox and State Authority

Obernolte believes that CAISI should be responsible for creating a regulatory toolbox that can be utilized by software regulators in their respective sectors. He emphasized the need for a preemptive framework to clarify what falls under federal jurisdiction, reserving certain regulations for the federal level while allowing states to function as “laboratories of democracy.”

In December, Trump signed an executive order aimed at preempting most state-level AI laws. This order intends to create a unified regulatory framework to prevent a fragmented state-by-state approach that could stifle innovation. Prior to this, Republican efforts to impose a 10-year moratorium on state AI laws were met with controversy and ultimately dropped by the Senate.

Clarifying Misunderstandings

Obernolte clarified that the intention behind the moratorium was not to eliminate states’ roles in AI regulation but to ensure that the federal government defines the necessary regulatory lanes first. He stated, “We never expected to even get it out of Energy and Commerce… We thought that the conversation needed to be had.”

Looking Forward

By codifying CAISI and implementing a sectoral regulatory framework, Obernolte believes that a cohesive strategy can be established. He underscores that any future AI regulation legislation must be bipartisan to achieve the necessary 60 votes in the Senate.

“The average American does not have confidence that the government is on the job in preventing bad AI outcomes,” he noted, highlighting the prevalent partisan divides. However, he expressed optimism about bipartisan cooperation in science and technology committees.

More Insights

Revolutionizing Drone Regulations: The EU AI Act Explained

The EU AI Act represents a significant regulatory framework that aims to address the challenges posed by artificial intelligence technologies in various sectors, including the burgeoning field of...

Revolutionizing Drone Regulations: The EU AI Act Explained

The EU AI Act represents a significant regulatory framework that aims to address the challenges posed by artificial intelligence technologies in various sectors, including the burgeoning field of...

Embracing Responsible AI to Mitigate Legal Risks

Businesses must prioritize responsible AI as a frontline defense against legal, financial, and reputational risks, particularly in understanding data lineage. Ignoring these responsibilities could...

AI Governance: Addressing the Shadow IT Challenge

AI tools are rapidly transforming workplace operations, but much of their adoption is happening without proper oversight, leading to the rise of shadow AI as a security concern. Organizations need to...

EU Delays AI Act Implementation to 2027 Amid Industry Pressure

The EU plans to delay the enforcement of high-risk duties in the AI Act until late 2027, allowing companies more time to comply with the regulations. However, this move has drawn criticism from rights...

White House Challenges GAIN AI Act Amid Nvidia Export Controversy

The White House is pushing back against the bipartisan GAIN AI Act, which aims to prioritize U.S. companies in acquiring advanced AI chips. This resistance reflects a strategic decision to maintain...

Experts Warn of EU AI Act’s Impact on Medtech Innovation

Experts at the 2025 European Digital Technology and Software conference expressed concerns that the EU AI Act could hinder the launch of new medtech products in the European market. They emphasized...

Ethical AI: Transforming Compliance into Innovation

Enterprises are racing to innovate with artificial intelligence, often without the proper compliance measures in place. By embedding privacy and ethics into the development lifecycle, organizations...

AI Hiring Compliance Risks Uncovered

Artificial intelligence is reshaping recruitment, with the percentage of HR leaders using generative AI increasing from 19% to 61% between 2023 and 2025. However, this efficiency comes with legal...