February 5, 2026

Tech companies are urgently pressing Congress to enact a federal law this year that would override state regulations on artificial intelligence (AI). Their hopes are pinned on Rep. Jay Obernolte, a California Republican and former computer engineer, now in his third term. Despite his potential as a legislative catalyst, House GOP leaders seem unresponsive to his strategies.
AI industry lobbyists have long advocated for a bill that would prevent states from creating their own AI laws, which they argue could hinder technological innovation with a mosaic of conflicting regulations. Obernolte, known for his technical expertise and a history of bipartisan collaboration, is viewed as an essential figure in forging a much-needed consensus on AI policy before the year ends.
Tony Samp, a principal AI adviser at the lobbying firm DLA Piper, emphasized Obernolte's unique position, stating, "If there is anyone in the House who can run point and cobble together the pieces on what meaningful federal AI standards and an AI package could look like, it's Jay Obernolte."
Currently, Obernolte is developing an AI bill that aims to preempt state laws while instituting a robust framework to regulate AI technologies. This includes new research infrastructure and safety protocols for advanced AI models—a proposal now backed by senior AI lobbyists after previous failed attempts by Republicans to block state regulations unilaterally.
Despite these efforts, senior tech industry representatives expressed concerns about Obernolte's limited involvement in high-level negotiations over AI policy, signaling a possible lack of commitment from Republican leaders to reach a compromise. This skepticism is compounded by House Majority Leader Steve Scalise's recent remarks, which hinted at a preference for minimal regulation, potentially complicating political negotiations on AI.
In contrast, House Speaker Mike Johnson's spokesperson highlighted Obernolte's contributions through his chairmanship of a bipartisan AI task force, which provided valuable insights into responsible AI utilization. However, the task force's recommendations have largely been ignored by GOP leaders, and the panel was not renewed.
Democrats are now poised to take advantage of perceived gaps in Republican leadership on AI. Rep. Ted Lieu, co-chair of the new House Democratic Commission on AI, criticized the White House and Republican leaders for leading the industry down a problematic path, resulting in public backlash and a push for state-level regulations.
As pressure mounts for legislative action on AI, Rep. Jim Jordan, chair of the Judiciary Committee, acknowledged the need for increased discussions on AI topics within his committee, hinting at potential future legislative movements.
This unfolding situation underscores the complex interplay of innovation, regulation, and politics in shaping the future of AI governance in the United States.