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Sunday, August 30, 2026

Math’s AI crisis has a lesson for the rest of us

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AI’s growing ability to generate mathematical proofs is forcing the field to confront whether the true value of mathematics lies in the final results or in the slow human process of discovering truths.

AI’s growing ability to generate mathematical proofs is forcing the field to confront whether the true value of mathematics lies in the final results or in the slow human process of discovering truths. | Bloomberg

Aug 29, 2026

Math can mean different things to different people.

It’s simple sums for children or sophisticated models for hedge fund managers. For mathematicians, it is an act of discovery. Many spend years trying to find new mathematical truths or “proofs,” work that can underpin everything from cryptography and computing to finance and engineering.

Now artificial intelligence is taking over some of that exploration, helping solve longstanding problems like the so-called Jacobian conjecture, and the field’s top minds find themselves deeply uncertain about whether that is ultimately good or bad. The answer could go either way, depending on whether mathematicians can quickly establish new standards for dealing with AI. With promising developments on that front already under way, the field could create a valuable blueprint for other forms of knowledge work.

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