The likelihood of a federal AI safety bill becoming law by 2027 stands at a mere 13%, according to bettors on Polymarket. This confidence level, reflected in the current pricing of Yes shares at 13 cents, suggests a consensus that significant federal regulation is unlikely in the immediate future.
The market trading began on November 12, 2025, and it has garnered around $99,000 in total trading volume, indicating some interest amid skepticism.
What constitutes success in this market? For the outcome to be a Yes, a federal bill must be enacted by December 31, 2026. Furthermore, the legislation must include at least one of the following safety provisions: prohibitions on the creation or release of models, training limitations, restrictions on usage, or mandates for human oversight.
Bettors previously faced a similar market situation regarding a 2025 bill, which ultimately resolved to No, further highlighting the uncertainty surrounding federal AI legislation.
Why are participants so doubtful? Current efforts to regulate AI at the federal level have largely focused on countering individual state initiatives rather than implementing comprehensive safety regulations. While the White House introduced a National Policy Framework in March 2026, it lacked any enforceable rules, leaving states some leeway to establish their own regulations.
On the state level, legislation is progressing. A noteworthy example is New York’s RAISE Act, signed into law in December 2025, which represents one of the inaugural state-level AI safety measures. Following New York’s lead, Illinois also passed SB 315 on May 29, 2026.
For investors, the 13% odds serve as a real-time insight into market sentiments regarding future AI regulations in the U.S. The prevailing low probabilities signify that many anticipate the current federal regulatory landscape, which is largely permissive, will remain unchanged until at least the end of 2026. Additionally, it is important to note that the CFTC has started employing AI tools to monitor trading activities on Polymarket for potential misconduct, reflecting the growing intersection of AI and financial oversight.