AI Policy Wiki
Dashboard
⚲

Jay Obernolte

medium confidence · updated 2026-09-24

U.S. Representative (R-CA-23), House Republican AI lead and chair of the House Task Force on Artificial Intelligence. Computer scientist by training. Co-author of the April 2026 Lieu–Obernolte AI bill and of the June 2026 Great American AI Act discussion draft with Rep. Lori Trahan; original cosponsor of the September 2026 AI LABS Act (K-12 AI education grants).

Jay Obernolte is a U.S. Representative (R-CA), serving since 2021, and a principal House Republican voice on AI policy. A computer scientist by training, he is among the few members of Congress with formal computer-science credentials. He has authored or co-authored the two largest bipartisan House AI legislative products of the 119th Congress — the April 2026 Lieu–Obernolte consolidation bill and the June 2026 Great American AI Act discussion draft — and is the principal House proponent of a single federal AI standard displacing state regulation of model development.

Roles

Obernolte co-chaired the House Bipartisan AI Task Force, which produced the substantive grounding for his later legislative work on AI standards and governance. The Task Force's own final report lists him as "Jay Obernolte (CA-23), Chair"; DLA Piper's analysis of his later drafting work describes him as having "served as a co-chair," and a Tech Policy Press account refers to a separate member as "Obernolte's co-chair" on the body (Source: obernolte.house.gov; dlapiper.com; techpolicy.press). The accounts are recorded as published rather than reconciled.

He sits on the House Energy and Commerce Committee, the committee of jurisdiction for much AI- and technology-related legislation (Source: dlapiper.com). Rep. Scott Franklin (R-FL) referred to him as "Policy Chair Obernolte" in a June 2026 statement supporting his drafting work (Source: obernolte.house.gov).

AI legislation

Lieu–Obernolte bill (April 2026)

On April 29, 2026, Obernolte and Rep. Ted Lieu (D-CA) introduced a 195-page bipartisan House AI bill consolidating standards, governance, and other provisions. Industry sources described the bill as the first cross-stakeholder consensus document of the cycle (Source: insideaipolicy.com). The standards-and-governance frame of the bill draws on Obernolte's earlier work on the House Bipartisan AI Task Force. See Lieu-Obernolte AI Bill (April 2026) for full details.

Great American AI Act discussion draft (June 2026)

Obernolte had signalled the measure in January 2026, indicating that he planned to introduce a bill called the Great American AI Act that would codify the Center for AI Standards and Innovation (Source: rollcall.com). See NIST CAISI (Center for AI Standards and Innovation).

On June 4, 2026 he released the discussion draft with Rep. Lori Trahan (D-MA) — a 269-page text described by both sponsors as an attempt to create a federal framework for AI governance. Obernolte's statement on release read: "Artificial intelligence is advancing rapidly, which is why Congress must take a thoughtful and bipartisan approach to regulating this critical technology… We are releasing this draft to hear from stakeholders, experts, and the public so we can strengthen the legislation before it is formally introduced." The two sponsors jointly characterised the effort as bipartisan by necessity: "policy for a technology this transformative can only be built to last if it's written by both parties" (Source: obernolte.house.gov; dlapiper.com).

The draft's preemption provision is its most contested element. It would preempt state laws "specifically regulating the development" of AI models on a three-year sunset — expiring in December 2029 assuming passage later in 2026 — while preserving state laws of general applicability and state authority over activities occurring at or after a model's deployment (Source: techpolicy.press; wlf.org). The sponsors' stated rationale for national uniformity is that "risks created by AI don't stop at state lines. The most advanced systems are built in one state and used in all 50… Protections that depend on your zip code are not enough" (Source: dlapiper.com).

Trahan has described the sunset as deliberate, and her assent to preemption as conditional: "I will preempt, but only if we're setting the strongest possible federal standard. A preemption provision in a bill with no meaningful federal standard is a moratorium, and I won't sign onto that." She described the December 2029 expiry as "a forcing function that prevents Congress from doing what we did with Section 230" (Source: techpolicy.press). The draft also carries workforce provisions the sponsors summarise as requiring "better federal data collection on AI's labor market impact, improved forecasting for occupations most likely to be affected, and additional transparency when AI is a substantial factor in qualifying mass layoffs" (Source: dlapiper.com).

The draft incorporates several standalone bipartisan bills, among them H.R. 3460, the AI Whistleblower Protection Act, which Obernolte sponsored (Source: dlapiper.com). See AI Whistleblower Protection Act (S.1792).

Reaction within the House divided along the preemption question. Reps. Franklin, Suhas Subramanyam (D-VA), Erin Houchin (R-IN) and Scott Peters (D-CA) issued supporting statements on release; Houchin framed the case as competitive, arguing the United States should not "regulate ourselves into falling behind China through a patchwork of fifty different state laws" while the bill "preserv[es] the ability of states and parents to protect children." Peters called it "an encouraging first step" that "will not address all of the issues our businesses and families will face" (Source: obernolte.house.gov). Rep. Josh Gottheimer (D-NJ), of the House AI Commission, said the draft "cannot serve as the basis for productive dialogue" (Source: techpolicy.press).

The draft's provisions are covered in full at Frontier Act / Great American AI Act (Obernolte–Trahan); the preemption question it carries is covered at AI Federalism and Federal AI Compliance Landscape.

The FRONTIER Act and the split package (July–September 2026)

The authors split the discussion draft into eleven bills, each routed to the committee with jurisdiction over its subject; filed whole, it would have gone to as many as eight House committees. The safety provisions became the FRONTIER Act (H.R. 9925; Source: politico.com), introduced on July 23, 2026 and pending before the Energy and Commerce Committee, which would require companies training frontier models to publish information about them, write plans for managing severe risks, report safety incidents and submit to review by independent verification organizations. Speaking at Tarana Wireless' Connecting Communities Summit in Milpitas, California on September 17, 2026, Obernolte said eleven bills carrying most of the package cleared the House Science, Space and Technology Committee in July and none had reached the floor since: "It is a frustratingly slow process." He said he hopes for a FRONTIER Act hearing when the House returns in November and that the pieces could be combined into a single bill eligible for a floor vote in December. The account describes him as chair of the House Task Force on AI and as a computer engineer with a graduate degree in artificial intelligence (Source: broadbandbreakfast.com). Rep. Sam Liccardo (D-California) said at the same event that "We need to get Jay's legislation done." See Coordinated slowdown proposals compared for the September 2026 dispute over House floor time.

AI LABS Act (September 2026)

Obernolte is the original cosponsor of H.R. 10315, the AI Learning, Advancement, and Building Skills Act, introduced by Rep. Josh Gottheimer (D-NJ) on September 8, 2026 and referred to the House Committee on Education and Workforce. The bill would direct the Secretary of Education to make competitive grants to States for dedicated K-12 curricula teaching students how to use and understand AI and for teacher professional education, with a departmental study and report to Congress within a year of enactment (H.R. 10315 — AI LABS Act (bill text)). Gottheimer's office announced the bill on September 4, 2026 as "co-led by Congressman Jay Obernolte (CA-23)" (Source: gottheimer.house.gov). See AI in Education.

Relationships

Sources

  • Inside AI Policy / Industry sources: Lieu-Obernolte AI bill (April 29, 2026): insideaipolicy.com
  • Office of Rep. Jay Obernolte, "Obernolte, Trahan release a discussion draft of the Great American AI Act" (June 4, 2026): obernolte.house.gov
  • DLA Piper, "Unpacking the Great American AI Act" (June 2026): dlapiper.com
  • Tech Policy Press, "Unpacking the Great American Artificial Intelligence Act of 2026": techpolicy.press
  • Washington Legal Foundation, "Compromise Necessary but Not Sufficient for AI Preemption" (June 22, 2026): wlf.org
  • Roll Call, "White House holds back on national AI framework specifics" (January 14, 2026): rollcall.com
  • House Task Force on Artificial Intelligence Final Report: obernolte.house.gov
  • H.R. 10315, AI LABS Act, text as introduced (September 8, 2026): H.R. 10315 — AI LABS Act (bill text)
  • Office of Rep. Josh Gottheimer, "Gottheimer Unveils Bipartisan Back-to-School Agenda for AI in K-12 Education" (September 4, 2026): gottheimer.house.gov
  • Broadband Breakfast, "11 AI Bills Cleared Committee this Summer, But None Has Reached the House Floor" (September 17, 2026): broadbandbreakfast.com