Recent advances in artificial intelligence are prompting a profound reassessment within the mathematical community as AI systems tackle problems once deemed unsolvable. Over the past several months, AI developers have increasingly demonstrated the capacity of their models to produce solutions to longstanding mathematical questions, raising questions among experts about the future role of human mathematicians.
Since April, various AI companies have published solutions to numerous previously open mathematical problems. Most recently, OpenAI announced it had solved 719 such problems, intensifying the debate over whether AI will eventually supplant human mathematical research. Hugo Duminil-Copin, recipient of the 2022 Fields Medal and a prominent figure in the field, expressed a sense of disruption. Speaking at a meeting of the French Mathematical Society, he remarked that AI is closing avenues of inquiry that previously drove mathematicians’ work, framing the moment as the dawn of a new era.
Despite the shockwaves, several leading mathematicians maintain that the discipline’s core will endure beyond automation. Stephane Mallat, awarded the 2025 Gold Medal by France’s National Centre for Scientific Research (CNRS), emphasized that mathematics transcends mere calculation. “Mathematics goes far beyond calculation: it’s a way of thinking clearly,” Mallat said. He highlighted the continued importance of human insight, reasoning, and clarity of thought in mathematics, which AI alone cannot replicate.
Concerns have also emerged regarding the impact of AI on the mathematical profession and education. Mallat noted that younger generations might be discouraged if they perceive that AI could replace researchers, potentially undermining motivation to study mathematics. Addressing this narrative, he insisted that the need for mathematicians remains vital.
Reflecting this shift, the Simons Foundation, a significant American supporter of mathematical research, recently announced a $15 million initiative co-funded by OpenAI and Anthropic. The program aims to assist mathematicians in understanding and managing AI-generated results, supporting workshops and efforts to create standards for AI’s use in mathematics.
Francois Charles, head of the mathematics department at the Ecole Normale Superieure in Paris, distinguished between concerns about the profession’s future and the underlying scientific challenges. While acknowledging legitimate worries about how AI affects pathways into the field and doctoral work, Charles expressed optimism on the scientific front. He called for greater ambition among researchers as new technical hurdles become surmountable, rather than pessimism.
Drawing parallels to historical technological shifts, Mallat compared AI’s arrival in mathematics to the mechanization of agriculture with tractors. While acknowledging the social dislocation such changes caused, he pointed out that mathematicians possess versatile skills, allowing them to adapt and apply their expertise across fields.
Meanwhile, Cedric Villani, a 2010 Fields Medalist and outspoken critic of AI’s role in mathematics, conveyed skepticism about relying solely on AI. Writing in the French newspaper Le Figaro, he invoked the television character Columbo, noting, “In mathematics, the conclusion is less important than the path to get there.”
As AI continues to reshape mathematical research, experts broadly agree that the discipline is undergoing significant transformation but remains an inherently human endeavor grounded in insight, creativity, and interpretation.