Traders currently assign the highest implied probability—34 percent—to no Millennium Prize Problem being solved by AI before the end of 2027, reflecting broad recognition that even the most advanced large language models and automated theorem-proving systems remain far from the original, creative mathematical insight these conjectures require. The Hodge Conjecture leads the remaining options at 25 percent because its ties to algebraic geometry align with areas where machine-learning methods have produced incremental computational gains, while Yang-Mills and Birch and Swinnerton-Dyer sit at 18.9 percent and 12 percent amid slower visible progress in the relevant physics and number-theory domains. The minimal odds on Riemann Hypothesis and P versus NP underscore trader consensus that these problems’ long histories of partial results have not translated into imminent AI breakthroughs.