# Mathematicians Grapple With AI's Rapid Advancements in Solving Complex Problems AI breakthroughs in mathematics spark excitement and existential dread among experts. - **Source:** [Science Latest](https://brifing.si/source/ebc20f22-8d1a-4ae4-ba4c-efcd0853ba19) - **Published:** 2026-09-12 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/05e61689-0394-4753-b999-83ef95667758 ## AI Solves 90-Year-Old Math Problem OpenAI announced it used tens of thousands of AI agents to solve a 90-year-old mathematical problem with a $1 million prize. The solution, which still needs independent verification, builds on work by Spanish mathematicians Diego Córdoba and Luis Martínez-Zoroa. Controversy arose as mathematician Tristan Buckmaster claims OpenAI rushed to solve the problem after learning of his collaborative work with Anthropic researcher Levent Alpöge. This highlights the competitive and sometimes contentious nature of AI-driven mathematical breakthroughs. ## Claude Proves Thousands of Theorems Anthropic's AI, Claude, recently proved 29,500 small theorems while formalizing an existing proof of Fermat’s Last Theorem—a project mathematicians had worked on for years. In August, OpenAI also announced advancements in 10 other long-standing mathematical problems. These developments demonstrate AI's growing capability to tackle complex mathematical challenges, accelerating progress in fields that traditionally required decades of human effort. The speed of these breakthroughs is reshaping the landscape of mathematical research. ## Mathematicians' Existential Dread Steven Strogatz, a Cornell professor and mathematician, expresses mixed feelings about AI's role in mathematics. While he finds the science thrilling, he is deeply concerned about the human cost. Strogatz predicts 2026 will be remembered as either a miraculous or horrible year for mathematics due to AI's impact. He warns that future breakthrough math will be impossible without AI, leaving traditional mathematicians struggling to compete. This shift is causing existential anxiety among experts who dedicated their lives to the field. ## Career Implications for Researchers Alex Townsend, Strogatz's collaborator, used ChatGPT to solve a decades-old numerical linear algebra problem. While AI has accelerated his work, Townsend feels threatened, as his peak mathematical skills are now surpassed by machines. He reflects on dedicating 15 years to research only to feel obsolete. The cost-reward ratio of traditional research is becoming unfeasible, forcing mathematicians to adapt. This transformation raises questions about the future role of human experts in a field increasingly dominated by AI. ## The Credit Controversy The race to solve the Navier-Stokes problem has sparked debates over who deserves credit. Buckmaster and Alpöge posted solutions to related problems days before OpenAI's announcement. Strogatz praises Buckmaster for his scrupulousness in giving credit but laments that he may not receive recognition for his career-defining work. The incident underscores the ethical challenges in AI-driven research, where corporate labs prioritize headlines over fair attribution, potentially sidelining individual researchers. ## AI as a Marketing Tool Strogatz criticizes the Navier-Stokes solution as a marketing ploy by OpenAI to demonstrate superiority over rivals like Anthropic. He notes the problem has no practical application and interests only a tiny subset of pure mathematicians. However, proving such arcane problems is valuable for AI labs aiming to showcase their systems' capabilities. This corporate race for prestige, often ahead of IPOs, risks overshadowing genuine scientific progress and collaboration in the field. ## The Role of Human Interpreters Strogatz suggests mathematicians may transition into interpreters of AI-generated proofs, translating complex results into human-understandable terms. While this role offers temporary relevance, he expects machines will soon surpass humans here too. Applied math, dealing with messy real-world problems like economics or sociology, may remain resistant to AI longer. However, the broader trend is clear: AI is redefining expertise, forcing researchers to adapt or risk obsolescence in their own fields. ## A Tipping Point for Mathematics The rapid advancements in AI-powered mathematics represent a tipping point for the discipline. While AI accelerates breakthroughs, it also disrupts traditional research paradigms and career trajectories. Mathematicians face a dilemma: embrace AI as a collaborative tool or risk being left behind. The ethical, professional, and existential questions raised by these developments will shape the future of mathematical research and education, with profound implications for the next generation of scientists. ## Sources covering this story - https://www.wired.com/story/mathematician-steven-strogatz-grapples-with-ai-recent-breakthroughs/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._