**Bipartisan proposals for frontier AI safety frameworks, including liability standards and preemption of state rules, remain stalled in Congress amid partisan disagreements over enforcement mechanisms and regulatory scope.** House Science Committee advanced narrower measures in June 2026 on NIST AI centers, research resources, and voluntary guidelines, yet none established mandatory safety obligations for advanced models. Senate negotiations led by Majority Leader Thune and Sen. Klobuchar have produced no final text or vote schedule, with lawmakers citing insufficient consensus before the November midterms and ensuing recess. Recent industry warnings on catastrophic risks have prompted new bill introductions but have not overcome tech-industry opposition or administration reluctance to impose binding requirements. These factors underpin trader expectations that comprehensive AI safety legislation is unlikely to clear both chambers and reach the president before 2027.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedU.S. enacts AI safety bill before 2027?
U.S. enacts AI safety bill before 2027?
18% chance
$121,450 Vol.
$121,450 Vol.
Dec 31, 2026
18% chance
$121,450 Vol.
$121,450 Vol.
Dec 31, 2026
This market will resolve to "Yes" if a bill that includes at least one of the following provisions is signed into federal law in the United States by December 31, 2026, 11:59 PM ET.
- Prohibition on Creation or Release: Forbids the creation or release of specific AI systems or models.
- Training Restrictions: Sets limits on how AI systems can be trained, such as restricting access to previously available training data or imposing a maximum limit on the number of parameters used for training.
- Usage Restrictions: Prevents AI systems from being used in certain applications, such as interacting with customers, interfacing with other applications, or performing actions on the web.
- Human-in-the-Loop Requirements: Requires AI systems to include mechanisms ensuring human oversight or involvement in their operation.
Otherwise this market will resolve to "No".
The resolution source will be official U.S. federal government (e.g., Congress.gov) however a consensus of credible reporting may also be used. **Bipartisan proposals for frontier AI safety frameworks, including liability standards and preemption of state rules, remain stalled in Congress amid partisan disagreements over enforcement mechanisms and regulatory scope.** House Science Committee advanced narrower measures in June 2026 on NIST AI centers, research resources, and voluntary guidelines, yet none established mandatory safety obligations for advanced models. Senate negotiations led by Majority Leader Thune and Sen. Klobuchar have produced no final text or vote schedule, with lawmakers citing insufficient consensus before the November midterms and ensuing recess. Recent industry warnings on catastrophic risks have prompted new bill introductions but have not overcome tech-industry opposition or administration reluctance to impose binding requirements. These factors underpin trader expectations that comprehensive AI safety legislation is unlikely to clear both chambers and reach the president before 2027.
This market will resolve to "Yes" if a bill that includes at least one of the following provisions is signed into federal law in the United States by December 31, 2026, 11:59 PM ET.
- Prohibition on Creation or Release: Forbids the creation or release of specific AI systems or models.
- Training Restrictions: Sets limits on how AI systems can be trained, such as restricting access to previously available training data or imposing a maximum limit on the number of parameters used for training.
- Usage Restrictions: Prevents AI systems from being used in certain applications, such as interacting with customers, interfacing with other applications, or performing actions on the web.
- Human-in-the-Loop Requirements: Requires AI systems to include mechanisms ensuring human oversight or involvement in their operation.
Otherwise this market will resolve to "No".
The resolution source will be official U.S. federal government (e.g., Congress.gov) however a consensus of credible reporting may also be used.
- Prohibition on Creation or Release: Forbids the creation or release of specific AI systems or models.
- Training Restrictions: Sets limits on how AI systems can be trained, such as restricting access to previously available training data or imposing a maximum limit on the number of parameters used for training.
- Usage Restrictions: Prevents AI systems from being used in certain applications, such as interacting with customers, interfacing with other applications, or performing actions on the web.
- Human-in-the-Loop Requirements: Requires AI systems to include mechanisms ensuring human oversight or involvement in their operation.
Otherwise this market will resolve to "No".
The resolution source will be official U.S. federal government (e.g., Congress.gov) however a consensus of credible reporting may also be used.
Market Opened: Nov 12, 2025, 5:08 PM ET
Volume
$121,450End Date
Jan 1, 2027Market Opened
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...This market will resolve to "Yes" if a bill that includes at least one of the following provisions is signed into federal law in the United States by December 31, 2026, 11:59 PM ET.
- Prohibition on Creation or Release: Forbids the creation or release of specific AI systems or models.
- Training Restrictions: Sets limits on how AI systems can be trained, such as restricting access to previously available training data or imposing a maximum limit on the number of parameters used for training.
- Usage Restrictions: Prevents AI systems from being used in certain applications, such as interacting with customers, interfacing with other applications, or performing actions on the web.
- Human-in-the-Loop Requirements: Requires AI systems to include mechanisms ensuring human oversight or involvement in their operation.
Otherwise this market will resolve to "No".
The resolution source will be official U.S. federal government (e.g., Congress.gov) however a consensus of credible reporting may also be used. **Bipartisan proposals for frontier AI safety frameworks, including liability standards and preemption of state rules, remain stalled in Congress amid partisan disagreements over enforcement mechanisms and regulatory scope.** House Science Committee advanced narrower measures in June 2026 on NIST AI centers, research resources, and voluntary guidelines, yet none established mandatory safety obligations for advanced models. Senate negotiations led by Majority Leader Thune and Sen. Klobuchar have produced no final text or vote schedule, with lawmakers citing insufficient consensus before the November midterms and ensuing recess. Recent industry warnings on catastrophic risks have prompted new bill introductions but have not overcome tech-industry opposition or administration reluctance to impose binding requirements. These factors underpin trader expectations that comprehensive AI safety legislation is unlikely to clear both chambers and reach the president before 2027.
This market will resolve to "Yes" if a bill that includes at least one of the following provisions is signed into federal law in the United States by December 31, 2026, 11:59 PM ET.
- Prohibition on Creation or Release: Forbids the creation or release of specific AI systems or models.
- Training Restrictions: Sets limits on how AI systems can be trained, such as restricting access to previously available training data or imposing a maximum limit on the number of parameters used for training.
- Usage Restrictions: Prevents AI systems from being used in certain applications, such as interacting with customers, interfacing with other applications, or performing actions on the web.
- Human-in-the-Loop Requirements: Requires AI systems to include mechanisms ensuring human oversight or involvement in their operation.
Otherwise this market will resolve to "No".
The resolution source will be official U.S. federal government (e.g., Congress.gov) however a consensus of credible reporting may also be used.
- Prohibition on Creation or Release: Forbids the creation or release of specific AI systems or models.
- Training Restrictions: Sets limits on how AI systems can be trained, such as restricting access to previously available training data or imposing a maximum limit on the number of parameters used for training.
- Usage Restrictions: Prevents AI systems from being used in certain applications, such as interacting with customers, interfacing with other applications, or performing actions on the web.
- Human-in-the-Loop Requirements: Requires AI systems to include mechanisms ensuring human oversight or involvement in their operation.
Otherwise this market will resolve to "No".
The resolution source will be official U.S. federal government (e.g., Congress.gov) however a consensus of credible reporting may also be used.
Volume
$121,450End Date
Jan 1, 2027Market Opened
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...**Bipartisan proposals for frontier AI safety frameworks, including liability standards and preemption of state rules, remain stalled in Congress amid partisan disagreements over enforcement mechanisms and regulatory scope.** House Science Committee advanced narrower measures in June 2026 on NIST AI centers, research resources, and voluntary guidelines, yet none established mandatory safety obligations for advanced models. Senate negotiations led by Majority Leader Thune and Sen. Klobuchar have produced no final text or vote schedule, with lawmakers citing insufficient consensus before the November midterms and ensuing recess. Recent industry warnings on catastrophic risks have prompted new bill introductions but have not overcome tech-industry opposition or administration reluctance to impose binding requirements. These factors underpin trader expectations that comprehensive AI safety legislation is unlikely to clear both chambers and reach the president before 2027.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
Beware of external links.
Beware of external links.
Frequently Asked Questions