Trader consensus on the Millennium Prize Problems market shows no solution by end of 2027 holding a modest edge at 29.5% implied probability, reflecting measured skepticism about large language model scaling delivering breakthroughs on open research-level mathematics within the timeframe. Yang-Mills and Hodge Conjecture sit close behind at 21.1% and 19.5%, favored for their ties to physics and algebraic geometry where AI systems have demonstrated incremental gains on related benchmarks. Birch and Swinnerton-Dyer follows at 15.5%, while Riemann Hypothesis and P versus NP trail sharply. Key differentiators include demonstrated AI capabilities on competition math versus the creative insight and novel proof strategies these problems demand, alongside competitive positioning among labs releasing specialized reasoning models. Upcoming developer conferences and capability evaluations could shift sentiment before resolution.