Why Make This?
The rapid development of AI and its mathematical capabilities has forced the math community to grapple with many of its long-held traditions and tenets, at both the practical and philosophical level.
During this unpredictable transitionary period, many in the community have shared their views on the past, present, and future of math.
Notably, the perspectives and predictions shared so far have been quite varied.
I thought it might be useful, then, to compile a list of these responses to (hopefully) help early-career academics get a sense for what’s ahead and to document this evolution as it happens.
I’m hoping to update this list with new blog posts and videos as often as I can. If you have any suggestions on things to include in this list, don’t hesitate to reach out (via email)!
Writing
Personal Blogs
Essays and Reports
What is AI?
On OpenAI’s Hugging Face Breach
Magazines
Declarations, Petitions, and Statements from the Community
Classical References on the Meaning and Aesthetics of Mathematics
Videos
Mathematics and Mathematicians in the Age of AI
- Mohammed Abouzaid: How to get Scooped by AI
- Prathosh A.P.: Pedagogy in the Times of AI
- Scott Aronson: The Mathocalypse, Will Intelligence Matter Anymore
- Trefor Bazett: Is Math Research Over?
- Tristan Buckmaster: Navier-Stokes
- Tristan Buckmaster and Brian Greene: AI just changed mathematics forever
- Tristan Buckmaster: A Deep Blue-Kasparov moment for mathematics
- Tristan Buckmaster: Mathematics in the age of AI
- Francis Charton: An AI Perspective on AI for Maths
- Vincent Conitzer, Daphne Ippolito, Zico Kolter, Po-Shen Loh, Aditi Raghunathan: Are We Cooked? CMU Faculty on AI, Careers and Learning
- Leonardo de Moura and Ryan Peterman: Handwritten Math Will Change Dramatically
- Tony Feng: The Rise and Ramifications of Artificial Intelligence
- Tony Feng, Michael Harris, Peter Scholze, Jacob Tsimerman, Geordie Williamson: Panel Discussion - AI in Mathematical Research
- Martin Hairer: Navier Stokes, AI, and the Future of Mathematics (Tom Rocks Maths)
- Alex Kontorovich: The Shape of Math to Come
- Alex Kontorovich, Manjul Bhargava, Ankur Moitra, and Stephen Wolfram: When AI Solves Major Open Problems: What Does It Mean for the Future of Mathematics—and Beyond?
- Alex Kontorovich, Akshay Venkatesh, and Ravi Vakil: What is Math for in the Age of AI (Quanta Magazine Podcast)
- Alex Kontorovich, Steven Brunton, and Ankur Moitra: AI Crisis in Math - Navier-Stokes, Riemann Hypothesis and Complexity Theory (Lex Fridman)
- Alex Kontorovich, Ettore Aldrovandi, Javier Gómez-Serrano, Tony Feng, Jeremy Avigad, Rachel Ward, Martin Bauer: Mathematics at a Turning Point: AI, Research, and the Next Generation
- Jared Duker Litchman: Formalization and the Future of Mathematics
- Daniel Litt: What’s Left for Mathematicians?
- Daniel Litt and Numberphile: Learning to Live with AI
- ICM 2026 Panel - AI for Mathematics
- Grant Sanderson (3Blue1Brown): There’s never been a better time to go into math
- Grant Sanderson (3Blue1Brown): The Role of Exposition in the Future of Mathematics
- Grant Sanderson (3Blue1Brown) and Steven Strogatz: On the Humanity of Math
- Terence Tao: No More Heroes
- Terence Tao: Mathematics in the Age of AI
- Terence Tao: Can AI Prove it? “Big Math” and Our Theoretical Future
- Terence Tao: Math 2.0
- Terence Tao and Tanya Klowden: Mathematical Methods and Human Thought in the Age of AI
- Jacob Tsimerman and David Duvenaud: Mathematics, AI, and What Comes Next
- Akshay Venkatesh: (Re)imagining Mathematics in a World of Reasoning Machines
- Akshay Venkatesh: What do we tell our students about AI?
- Geordie Williamson: AI and Humanity’s Long Conversation
- Stephen Wolfram: What’s the Future for Pure Math Research in the Age of AI?
On the Future of Math Education
Alvaro Lozano-Robledo’s “Human Mathematicians in the Age of AI” Interview Series
The Foundation for Science and AI Research (SAIR)
Using AI for Math Research
On AI Safety
On Recent Results
Some Candid Reactions From the Community