Terence Tao on How AI Is Changing Mathematics

Why It Matters

AI’s ability to eliminate routine cognitive load accelerates mathematical breakthroughs and broadens participation, reshaping research productivity and the economics of innovation.

Key Takeaways

• AI tools let mathematicians offload tedious computations instantly
• Tao uses AI for literature searches, accelerating research cycles
• OpenAI aims to empower hundreds of mathematicians, not win awards
• Reducing cognitive friction could transform how mathematical proofs are built
• Sharing intermediate reasoning steps enhances reproducibility and collaborative discovery

Summary

In a brief interview, Fields Medalist Terence Tao explains how artificial‑intelligence tools are reshaping mathematical research. As director of special projects at the Institute for Pure and Applied Mathematics (IPAM), he describes moving from manual blackboard work to AI‑augmented workflows.

Tao notes that modern language models can perform routine calculations, scour the literature with pinpoint accuracy, and even suggest proof strategies, allowing him to experiment with “crazier” ideas. He cites OpenAI’s ambition to automate scientific processes, not to chase accolades, but to enable a hundred mathematicians to achieve breakthroughs on their own.

He notes that we lived in a world of cognitive friction until very recently, emphasizing that every intellectual step once demanded full brainpower. He urges researchers to publish not only final results but also the AI‑generated pathways that led there, arguing that such transparency fuels collective learning.

If adopted widely, AI could democratize high‑level mathematics, compress discovery timelines, and reshape peer review by valuing the full reasoning trail. The shift promises a new era where computational assistants handle routine rigor, freeing human insight for deeper conceptual leaps.

Original Description

Fields Medal recipient Terence Tao explains how AI is changing the way mathematicians work, making it easier to experiment, explore new ideas, and collaborate on difficult problems.

The video also features OpenAI Chief Research Officer Mark Chen, who discusses OpenAI's broader goal of building tools that help scientists and researchers achieve breakthroughs at scale.

Together, they explore how AI can expand what's possible in mathematics and science while preserving the creativity, curiosity, and discovery that drive human progress.

Terence Tao was interviewed at an OpenAI Forum event held in partnership with IPAM (the Institute for Pure and Applied Mathematics) in March 2026.