Bipartisan Congressional Consensus Emerges on AI Regulation Framework
Rare cross-party agreement on artificial intelligence oversight signals that federal legislation, long stalled by partisan disagreement, may now have a viable path through Congress.
Lawmakers from both parties have reached a point of public agreement that the federal government must impose additional regulatory guardrails on artificial intelligence systems, according to reporting by Bloomberg's Mario Parker published September 18, 2026. The convergence marks a notable shift in the legislative posture of a Congress that has spent several years debating AI policy without producing comprehensive federal statute.
The Bloomberg report, which aired on the network's "Balance of Power" program, cited lawmakers on both sides of the aisle stating that additional guardrails need to be in place for artificial intelligence. The specific legislative vehicles under discussion, their sponsors, and their current committee status were not identified in the report. The Congressional Record and the House and Senate committee calendars would reveal which bills have received formal hearings.
As of the 119th Congress, no single comprehensive federal AI regulatory statute has been enacted. The legislative record shows a series of narrower measures, including the AI in Government Act and various appropriations riders directing agency use of AI, but no overarching framework governing private-sector deployment comparable to the European Union's AI Act, which took effect in stages beginning in 2024.
The absence of federal law has left AI governance largely to executive action. The Biden administration issued Executive Order 14110 on Safe, Secure, and Trustworthy AI in October 2023, directing agencies to develop risk assessments and reporting requirements. The Trump administration rescinded that order in January 2025, replacing it with Executive Order 14179, which directed agencies to prioritize AI development and competitiveness over precautionary regulation, according to the Federal Register.
The policy gap between the two executive orders has created an uncertain regulatory environment for companies developing and deploying AI systems. Lobbying disclosures filed with the Senate Office of Public Records under the Lobbying Disclosure Act show that major technology firms including Alphabet, Microsoft, Meta, Amazon, and OpenAI have each reported active lobbying on AI policy in multiple quarters of 2025 and 2026. Aggregate figures for the current cycle are available through the LDA database maintained by the Senate.
On the Senate side, the Commerce Committee has jurisdiction over technology regulation and has held multiple hearings on AI since 2023. The House Energy and Commerce Committee and the House Judiciary Committee hold overlapping jurisdiction depending on whether legislation addresses consumer protection, antitrust, or speech-related dimensions of AI. Which of these committees is currently advancing a bipartisan draft was not specified in the Bloomberg report.
Bipartisan cooperation on technology regulation has historically been difficult to sustain through the full legislative process even when initial agreement appears broad. The Senate passed the bipartisan United States Innovation and Competition Act in 2021 with 68 votes, but subsequent House-Senate negotiations over AI-specific provisions extended negotiations by more than a year before a modified version, the CHIPS and Science Act, cleared both chambers in August 2022, according to the congressional record.
The economic stakes of AI regulation are substantial. The Bureau of Economic Analysis has not yet produced a discrete GDP contribution figure for the AI sector, but private analyses and federal agency reports, including a 2024 report from the Council of Economic Advisers, have estimated AI-related investment in the hundreds of billions of dollars annually. Federal regulatory requirements would affect capital expenditure decisions, liability exposure, and market structure across that investment base.
Consumer and civil liberties organizations have separately called for legislation addressing algorithmic discrimination, data privacy, and autonomous decision-making in high-stakes contexts such as hiring, credit, and criminal justice. Industry groups have generally argued for federal preemption of a patchwork of state AI laws, several of which have passed or are pending in California, Colorado, Texas, and Illinois, according to those states' legislative records.
What remains unknown is the specific text, sponsors, and vote count of any bipartisan draft currently circulating in either chamber. The full legislative record, including co-sponsor lists, committee markup schedules, and Congressional Budget Office cost estimates, would be the authoritative sources for those details. The LDA database would show which organizations are lobbying on any specific bill once it receives a formal number.