AI Solves 719 Unsolvable Mathematical Problems, Forcing Mathematicians to Rethink Their Role

AI in Mathematics Reaches Breakthrough Milestone

Artificial intelligence models have cracked 719 previously unsolvable mathematical problems, according to OpenAI's latest release, fundamentally challenging how mathematicians view their profession.1

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Since April, AI firms have regularly published solutions to previously unsolved mathematical problems as they demonstrate the power of their latest models, creating what Hugo Duminil-Copin, winner of the 2022 Fields Medal, describes as facing "a new day" where "all the avenues of research I had are now gone."1

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The announcements are shaking top-level mathematicians to their core, forcing them to ask where they fit in this rapidly evolving landscape.

Impact of AI on Mathematics Sparks Existential Questions

The advances in AI solving mathematical problems are forcing those in the field to wonder whether this spells the end of mathematical research as they know it.2

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Francois Charles, mathematician and department head at the Ecole Normale Superieure in Paris, acknowledges legitimate concerns about how the community is organized, noting AI is bringing changes in how people enter the profession or at the doctoral level.1

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The emotional shock caused by recent publications has led mathematicians to question their future contributions, particularly as younger students may wonder why they should pursue mathematics if researchers themselves face replacement by AI.

Role of AI in Mathematics Extends Beyond Calculation

Stephane Mallat, 2025 CNRS Gold Medal recipient from France's national scientific research centre, insists there will always be a need for mathematicians despite acknowledging the emotional impact.1

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"Mathematics goes far beyond calculation: it's a way of thinking clearly," Mallat explained, emphasizing that "maths will remain absolutely central because it's a tool that allows us humans to think clearly and understand things."2

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This perspective on clear thinking positions mathematicians as essential interpreters and validators of AI-generated solutions rather than merely problem solvers.

Simons Foundation Initiative Supports Adapting to AI

The Simons Foundation announced a $15-million program co-funded by OpenAI and Anthropic to support mathematicians in dealing with AI, representing an initial sign of pushback from the field.1

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The Simons Foundation initiative will fund workshops to assess the results produced by AI and establish standards for its use, providing structured support for the mathematical community during this transition.2

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This investment signals recognition that AI challenges maths in ways requiring organized community response and adaptation strategies.

Retraining and Professional Transformation

Mallat, who recently published a book on maths and AI, draws a distinction between the current situation and the mechanization of agriculture when tractors appeared.1

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While agricultural mechanization was "a human tragedy for some who had to abandon the countryside, move to the cities, find jobs, retrain," mathematicians face different circumstances.2

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"When you know how to do maths, you can do an enormous number of things," Mallat argued, suggesting mathematical training provides transferable skills beyond traditional research. Charles remains optimistic on the scientific side, stating "we need to be more ambitious" as obstacles may be overcome.1

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Process Matters More Than Solutions

Cedric Villani, 2010 Fields Medallist and strong critic of AI, offered perspective in French daily Le Figaro by invoking TV detective Columbo: "In mathematics, the conclusion is less important than the path to get there."1

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This viewpoint emphasizes that mathematics embodies processes as much as solutions, suggesting the journey of mathematical discovery holds value independent of AI's ability to generate answers. Mallat echoed this concern about teaching, noting young people might question pursuing mathematics when seeing researchers potentially replaced, though he insists "it's completely false that we no longer need mathematicians."2

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