# Terence Tao on AI's Role in Mathematical Problem-Solving Fields Medalist explores the paradox of AI-assisted creativity in mathematics. - **Source:** [FlowingData](https://brifing.si/source/86da369b-760b-453a-8b8d-38c520eca77c) - **Published:** 2026-09-09 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/6da9ef92-f42c-448b-b8ea-e9766b1e46ec ## The Paradox of AI Assistance Fields Medal winner Terence Tao highlights a fundamental tension in using AI for mathematical problem-solving. While AI can accelerate solutions by bypassing traditional trial-and-error processes, this efficiency may come at the cost of diminishing our creative thinking skills. Tao suggests the most valuable learning occurs through the struggle of solving problems independently, a process that builds deeper mathematical intuition. This paradox raises questions about how to balance AI's power with preserving essential cognitive development. ## Tao's Practical AI Workflow Despite concerns, Tao effectively incorporates AI into his mathematical workflow for specific secondary tasks. He uses these tools for literature searches, proof verification, code writing, and tightening existing work. This selective application demonstrates how experts can leverage AI without compromising core creative processes. Tao's approach suggests AI serves best as an augmentative tool rather than a replacement for fundamental problem-solving, particularly in advanced mathematics where creative leaps are crucial. ## The Graduate School Comparison Tao reflects on his graduate school experience as a period of valuable struggle that shaped his mathematical thinking. He questions whether today's AI tools, had they been available then, would have provided the same depth of learning. This personal anecdote underscores how difficulty and uncertainty in problem-solving contribute significantly to mathematical maturity. The comparison highlights the potential trade-off between efficiency and deep learning in mathematical education. ## Expert Consensus on AI Integration Tao observes that selective AI use mirrors workflows adopted by experts across various fields. This pattern suggests a universal principle: professionals preserve core creative processes while outsourcing peripheral tasks to AI. In mathematics specifically, this means maintaining human intuition at the center of discovery while using AI for verification and refinement. The consistency across disciplines indicates this may represent an optimal balance for knowledge work. ## The Value of Mathematical Struggle Tao emphasizes that the most profound mathematical insights often emerge from prolonged engagement with problems. The process of being stuck, making mistakes, and finding workarounds develops essential problem-solving muscles. This perspective challenges the notion that faster solutions are always better, particularly in education and research contexts where deep understanding matters more than immediate answers. ## AI's Role in Mathematical Verification One area where Tao finds AI particularly valuable is in proof verification and refinement. Mathematical proofs often require meticulous checking for logical gaps or opportunities for simplification. AI can efficiently scan large argument structures that might take humans considerable time to review. This application demonstrates how AI can enhance mathematical work without replacing its creative core. ## Balancing Efficiency and Learning The central dilemma Tao presents involves balancing the undeniable efficiency gains from AI with the need for authentic learning experiences. In mathematics education especially, this balance becomes crucial. While AI can provide quick answers, educators must design experiences that preserve the cognitive benefits of struggle. This challenge extends beyond mathematics to all disciplines involving complex problem-solving. ## Future of Mathematical Creativity Tao's reflections prompt important questions about how AI will shape future mathematical discovery. While the technology offers powerful tools for verification and computation, the most groundbreaking advances still require human insight and creativity. The mathematical community must consciously preserve spaces for unaided thinking even as it adopts helpful technologies, ensuring the continued development of profound mathematical intuition. ## Sources covering this story - https://flowingdata.com/2026/09/09/terence-tao-on-the-paradox-of-solving-mathematical-problems/ — --- _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._