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Jeremy Avigad argues that while AI can solve routine math problems, mathematicians must focus on harder problems, bigger conceptual thinking, and creative use of AI to advance understanding.

Antonio Auffinger argues that AI-driven proof generation threatens mathematics' open culture and urges reshaping incentives to preserve sharing while embracing cross-disciplinary opportunities.

Martin Hairer explains why he joined the independent AGMAI advisory group, emphasizing its mission to represent mathematicians' interests while engaging AI labs like OpenAI on responsible AI use in mathematics.

To prevent AI-driven scientific research from being controlled by private companies, we need a publicly funded CERN-like institution for AI-assisted science.

Twenty‑five Fields Medalists warn that AI companies’ focus on solving math problems undermines deep understanding and risks misaligning AI progress with the goals of mathematics.