Congressional gridlock and a federal preference for targeted innovation policies over comprehensive safety mandates continue to limit prospects for a binding U.S. AI safety bill before 2027. The Trump administration’s March 2026 National Policy Framework outlined legislative recommendations focused on child protection and competitiveness but stopped short of proposing enforceable rules, while Senate and House committees have advanced only narrow measures such as the AI PLAN Act without floor votes. Meanwhile, states including California and New York have implemented their own transparency and chatbot-safety statutes, reducing urgency for federal preemption. Traders price the 70.5 percent “No” outcome on these procedural delays, partisan differences over regulatory scope, and the absence of any scheduled vote on omnibus safety legislation through the remainder of 2026.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update$98,190 Vol.
$98,190 Vol.
Dec 31, 2026
$98,190 Vol.
$98,190 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. Congressional gridlock and a federal preference for targeted innovation policies over comprehensive safety mandates continue to limit prospects for a binding U.S. AI safety bill before 2027. The Trump administration’s March 2026 National Policy Framework outlined legislative recommendations focused on child protection and competitiveness but stopped short of proposing enforceable rules, while Senate and House committees have advanced only narrow measures such as the AI PLAN Act without floor votes. Meanwhile, states including California and New York have implemented their own transparency and chatbot-safety statutes, reducing urgency for federal preemption. Traders price the 70.5 percent “No” outcome on these procedural delays, partisan differences over regulatory scope, and the absence of any scheduled vote on omnibus safety legislation through the remainder of 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.
- 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.
Binuksan ang Market: Nov 12, 2025, 5:08 PM ET
Volume
$98,190Petsa ng Pagtatapos
Dec 31, 2026Binuksan ang Market
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. Congressional gridlock and a federal preference for targeted innovation policies over comprehensive safety mandates continue to limit prospects for a binding U.S. AI safety bill before 2027. The Trump administration’s March 2026 National Policy Framework outlined legislative recommendations focused on child protection and competitiveness but stopped short of proposing enforceable rules, while Senate and House committees have advanced only narrow measures such as the AI PLAN Act without floor votes. Meanwhile, states including California and New York have implemented their own transparency and chatbot-safety statutes, reducing urgency for federal preemption. Traders price the 70.5 percent “No” outcome on these procedural delays, partisan differences over regulatory scope, and the absence of any scheduled vote on omnibus safety legislation through the remainder of 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.
- 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
$98,190Petsa ng Pagtatapos
Dec 31, 2026Binuksan ang Market
Nov 12, 2025, 5:08 PM ETResolver
0x65070BE91...Congressional gridlock and a federal preference for targeted innovation policies over comprehensive safety mandates continue to limit prospects for a binding U.S. AI safety bill before 2027. The Trump administration’s March 2026 National Policy Framework outlined legislative recommendations focused on child protection and competitiveness but stopped short of proposing enforceable rules, while Senate and House committees have advanced only narrow measures such as the AI PLAN Act without floor votes. Meanwhile, states including California and New York have implemented their own transparency and chatbot-safety statutes, reducing urgency for federal preemption. Traders price the 70.5 percent “No” outcome on these procedural delays, partisan differences over regulatory scope, and the absence of any scheduled vote on omnibus safety legislation through the remainder of 2026.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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