**Persistent legislative gridlock and partisan disagreements over federal preemption of state rules are the main forces keeping the implied probability of a comprehensive federal AI framework passing before 2028 at just 26%.** As of September 2026, Congress has enacted only narrow measures such as the Take It Down Act on deepfakes, while broader bipartisan proposals like the June 2026 Great American AI Act discussion draft—covering frontier model transparency, third-party audits, and a three-year state preemption sunset—have stalled in committee. The House adjourned without floor action ahead of midterms, Senate Commerce talks remain unresolved on safety guardrails versus innovation priorities, and the Trump administration’s National AI Policy Framework and executive orders emphasize voluntary standards and competitiveness over binding statutes. Key near-term catalysts include post-election sessions and any high-profile large language model safety incidents that could alter momentum.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedLegislation establishes a comprehensive federal framework for artificial intelligence if its enacted text contains provisions in both of the following categories:
(1) Standards or testing: the legislation directs a federal agency or body (for example, the National Institute of Standards and Technology) to develop, adopt, or maintain technical standards, benchmarks, testing frameworks, or evaluation capacity for artificial intelligence systems.
(2) Transparency, disclosure, or risk management: the legislation requires transparency, disclosure, reporting, or risk-management practices for artificial intelligence systems, either as obligations on private-sector developers or deployers, or as guidelines or frameworks that a federal agency is directed to develop or adopt for use by federal agencies, whether mandatory or voluntary. Findings, sense-of-Congress language, and provisions that only authorize a study or require a one-time report to Congress will not satisfy this category.
The qualifying provisions must apply to artificial intelligence systems generally, either government-wide or to private-sector developers or deployers. Provisions that govern only the artificial intelligence systems developed, procured, or used by a single federal department or agency, or only defense, national security, or intelligence applications (for example, Department of Defense or intelligence community provisions in a National Defense Authorization Act or Intelligence Authorization Act), will not qualify. Qualifying provisions may be enacted as a standalone act or as a distinct title or division of a broader act.
Pending legislation that this market is intended to capture includes the American Leadership in AI Act (H.R. 8516, 119th Congress) and the Great American Artificial Intelligence Act of 2026 (Obernolte-Trahan discussion draft released June 4, 2026). Whether any legislation qualifies will be determined solely by whether its enacted text satisfies the requirements above, regardless of its title or sponsors.
Legislation that satisfies only one of the two categories above will not qualify. Legislation whose artificial intelligence provisions apply only to a single application, sector, or technology (for example, semiconductor or chip export controls, deepfakes or digital replicas, chatbots or companion applications, data centers or their electricity use, autonomous vehicles, or the funding of a research resource such as the National Artificial Intelligence Research Resource) will not qualify, even if it contains standards, testing, disclosure, or reporting provisions for that application. Legislation that became law before January 1, 2026, including the National Artificial Intelligence Initiative Act of 2020, will not qualify.
The primary resolution source for this market will be Congress.gov's legislation tracker (https://www.congress.gov/) and other official information from the government of the United States; however, a consensus of credible reporting may also be used.
Market Opened: Sep 17, 2026, 5:06 PM ET
Resolver
0x65070BE91...Legislation establishes a comprehensive federal framework for artificial intelligence if its enacted text contains provisions in both of the following categories:
(1) Standards or testing: the legislation directs a federal agency or body (for example, the National Institute of Standards and Technology) to develop, adopt, or maintain technical standards, benchmarks, testing frameworks, or evaluation capacity for artificial intelligence systems.
(2) Transparency, disclosure, or risk management: the legislation requires transparency, disclosure, reporting, or risk-management practices for artificial intelligence systems, either as obligations on private-sector developers or deployers, or as guidelines or frameworks that a federal agency is directed to develop or adopt for use by federal agencies, whether mandatory or voluntary. Findings, sense-of-Congress language, and provisions that only authorize a study or require a one-time report to Congress will not satisfy this category.
The qualifying provisions must apply to artificial intelligence systems generally, either government-wide or to private-sector developers or deployers. Provisions that govern only the artificial intelligence systems developed, procured, or used by a single federal department or agency, or only defense, national security, or intelligence applications (for example, Department of Defense or intelligence community provisions in a National Defense Authorization Act or Intelligence Authorization Act), will not qualify. Qualifying provisions may be enacted as a standalone act or as a distinct title or division of a broader act.
Pending legislation that this market is intended to capture includes the American Leadership in AI Act (H.R. 8516, 119th Congress) and the Great American Artificial Intelligence Act of 2026 (Obernolte-Trahan discussion draft released June 4, 2026). Whether any legislation qualifies will be determined solely by whether its enacted text satisfies the requirements above, regardless of its title or sponsors.
Legislation that satisfies only one of the two categories above will not qualify. Legislation whose artificial intelligence provisions apply only to a single application, sector, or technology (for example, semiconductor or chip export controls, deepfakes or digital replicas, chatbots or companion applications, data centers or their electricity use, autonomous vehicles, or the funding of a research resource such as the National Artificial Intelligence Research Resource) will not qualify, even if it contains standards, testing, disclosure, or reporting provisions for that application. Legislation that became law before January 1, 2026, including the National Artificial Intelligence Initiative Act of 2020, will not qualify.
The primary resolution source for this market will be Congress.gov's legislation tracker (https://www.congress.gov/) and other official information from the government of the United States; however, a consensus of credible reporting may also be used.
Resolver
0x65070BE91...**Persistent legislative gridlock and partisan disagreements over federal preemption of state rules are the main forces keeping the implied probability of a comprehensive federal AI framework passing before 2028 at just 26%.** As of September 2026, Congress has enacted only narrow measures such as the Take It Down Act on deepfakes, while broader bipartisan proposals like the June 2026 Great American AI Act discussion draft—covering frontier model transparency, third-party audits, and a three-year state preemption sunset—have stalled in committee. The House adjourned without floor action ahead of midterms, Senate Commerce talks remain unresolved on safety guardrails versus innovation priorities, and the Trump administration’s National AI Policy Framework and executive orders emphasize voluntary standards and competitiveness over binding statutes. Key near-term catalysts include post-election sessions and any high-profile large language model safety incidents that could alter momentum.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated

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