AI will not make mathematicians obsolete (hxstem.substack.com)

On September 8, 2026, OpenAI revealed that one of its internal models has made a notable advance in mathematics by addressing a version of the Navier–Stokes problem—one of the seven unsolved Clay Millennium Prize Problems. While this model demonstrated that external forces could induce a breakdown in fluid motion, effectively asserting that certain forced conditions lead to infinite flow speeds, it only scratched the surface of the original question regarding natural fluid behavior. This accomplishment, requiring a monumental computing effort with thousands of AI agents, marks a significant point in AI's journey into complex mathematical territories. Despite this achievement, many in the mathematics community are concerned about job security in the face of AI advancements. However, experts argue that while AI can adeptly explore existing mathematical landscapes, it still relies on human mathematicians to define the essential questions and interpret the significance of findings. The complexity and foundational nature of mathematics ensure that the field remains vibrant and necessary. AI's contribution serves more as a tool to enhance human problem-solving capabilities rather than a replacement, reaffirming that the essence of mathematical inquiry—selecting the right problems and understanding their implications—remains a uniquely human endeavor.