Trader consensus tilts heavily toward "No" at 73.5% implied probability for U.S. enactment of an AI safety bill before 2027, driven by persistent congressional gridlock despite the Trump administration's March 20 National Policy Framework for Artificial Intelligence. This non-binding proposal urges Congress to prioritize innovation through regulatory sandboxes, federal preemption of burdensome state laws, and child safety measures via existing agencies, explicitly rejecting new AI regulators or comprehensive risk assessments for frontier models. No federal AI safety bills have advanced beyond early introduction in the 119th Congress, while states enacted 25 narrow laws on chatbots, deepfakes, and sector uses since mid-March. With 2026 midterms looming, traders doubt passage amid partisan divides on regulation scope.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$85,428 Vol.
$85,428 Vol.
$85,428 Vol.
$85,428 Vol.
- 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
Resolver
0x65070BE91...- 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.
Resolver
0x65070BE91...Trader consensus tilts heavily toward "No" at 73.5% implied probability for U.S. enactment of an AI safety bill before 2027, driven by persistent congressional gridlock despite the Trump administration's March 20 National Policy Framework for Artificial Intelligence. This non-binding proposal urges Congress to prioritize innovation through regulatory sandboxes, federal preemption of burdensome state laws, and child safety measures via existing agencies, explicitly rejecting new AI regulators or comprehensive risk assessments for frontier models. No federal AI safety bills have advanced beyond early introduction in the 119th Congress, while states enacted 25 narrow laws on chatbots, deepfakes, and sector uses since mid-March. With 2026 midterms looming, traders doubt passage amid partisan divides on regulation scope.
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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