Recent AI advances in mathematical reasoning, including large language models demonstrating stronger proof generation and benchmark performance on competition-level problems, underpin the tight contest among leading outcomes. Traders see Hodge Conjecture and Birch and Swinnerton-Dyer as relatively more approachable via computational geometry and number-theoretic patterns, while viewing P versus NP and Riemann Hypothesis as higher barriers due to their foundational complexity demands. The near-equal weighting of “no solution by December 31, 2027” reflects realistic timelines for scaling reliable automated theorem proving, with upcoming model releases and specialized math benchmarks serving as key swing factors that could shift sentiment toward earlier resolution or extended uncertainty.