**Congressional leaders from both parties express little optimism that comprehensive AI safety legislation will advance through both chambers and reach the president’s desk before the end of 2026.** Bipartisan proposals, including the Obernolte-Trahan Great American AI Act introduced in July and multiple measures advanced by the House Science Committee in June, remain stalled amid disagreements over state preemption, regulatory scope, and enforcement mechanisms. Recent reporting from early September highlights lawmakers’ doubts about building consensus in the short session remaining before midterms, with the Senate Commerce Committee also delaying markups. The Trump administration has instead emphasized voluntary executive actions and innovation-focused frameworks rather than mandatory statutory requirements. These procedural and political hurdles underpin traders’ strong consensus that no qualifying AI safety bill will be enacted before 2027.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गयाहाँ
11% संभावना
$102,034 वॉल्यूम
$102,034 वॉल्यूम
31 दिस, 2026
हाँ
11% संभावना
$102,034 वॉल्यूम
$102,034 वॉल्यूम
31 दिस, 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 leaders from both parties express little optimism that comprehensive AI safety legislation will advance through both chambers and reach the president’s desk before the end of 2026.** Bipartisan proposals, including the Obernolte-Trahan Great American AI Act introduced in July and multiple measures advanced by the House Science Committee in June, remain stalled amid disagreements over state preemption, regulatory scope, and enforcement mechanisms. Recent reporting from early September highlights lawmakers’ doubts about building consensus in the short session remaining before midterms, with the Senate Commerce Committee also delaying markups. The Trump administration has instead emphasized voluntary executive actions and innovation-focused frameworks rather than mandatory statutory requirements. These procedural and political hurdles underpin traders’ strong consensus that no qualifying AI safety bill will be enacted 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.
बाज़ार खुला: Nov 12, 2025, 5:08 PM ET
वॉल्यूम
$102,034समाप्ति तिथि
1 जन, 2027बाज़ार खुला
Nov 12, 2025, 5:08 PM ETरिज़ॉल्वर
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 leaders from both parties express little optimism that comprehensive AI safety legislation will advance through both chambers and reach the president’s desk before the end of 2026.** Bipartisan proposals, including the Obernolte-Trahan Great American AI Act introduced in July and multiple measures advanced by the House Science Committee in June, remain stalled amid disagreements over state preemption, regulatory scope, and enforcement mechanisms. Recent reporting from early September highlights lawmakers’ doubts about building consensus in the short session remaining before midterms, with the Senate Commerce Committee also delaying markups. The Trump administration has instead emphasized voluntary executive actions and innovation-focused frameworks rather than mandatory statutory requirements. These procedural and political hurdles underpin traders’ strong consensus that no qualifying AI safety bill will be enacted 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.
वॉल्यूम
$102,034समाप्ति तिथि
1 जन, 2027बाज़ार खुला
Nov 12, 2025, 5:08 PM ETरिज़ॉल्वर
0x65070BE91...**Congressional leaders from both parties express little optimism that comprehensive AI safety legislation will advance through both chambers and reach the president’s desk before the end of 2026.** Bipartisan proposals, including the Obernolte-Trahan Great American AI Act introduced in July and multiple measures advanced by the House Science Committee in June, remain stalled amid disagreements over state preemption, regulatory scope, and enforcement mechanisms. Recent reporting from early September highlights lawmakers’ doubts about building consensus in the short session remaining before midterms, with the Senate Commerce Committee also delaying markups. The Trump administration has instead emphasized voluntary executive actions and innovation-focused frameworks rather than mandatory statutory requirements. These procedural and political hurdles underpin traders’ strong consensus that no qualifying AI safety bill will be enacted before 2027.
Polymarket डेटा का संदर्भ देने वाला प्रयोगात्मक AI-जनरेटेड सारांश। यह ट्रेडिंग सलाह नहीं है और इस बाज़ार के समाधान में कोई भूमिका नहीं निभाता। · अपडेट किया गया
बाहरी लिंक से सावधान रहें।
बाहरी लिंक से सावधान रहें।
अक्सर पूछे जाने वाले प्रश्न