Here is a 3-paragraph summary of the blog post for mathopen.com:
In September 2026, leading mathematicians gathered at Harvard for the Summit on PhD Math Education in the Age of AI. Co-hosted by the Harvard Department of Mathematics and the Center of Mathematical Sciences and Applications (CMSA), the two-day event brought together twenty-four senior mathematicians from across the discipline to address one of the most pressing questions facing the field: how should doctoral math education evolve in response to rapidly advancing artificial intelligence tools?
The summit reflects a growing recognition within the mathematics community that AI is reshaping not just research workflows but also how students learn, explore problems, and develop mathematical intuition. With tools capable of assisting in proof verification, literature review, and even conjecture generation, PhD programs face new challenges in training the next generation of mathematicians to think deeply and independently.
The recommendations that emerged from the summit are intended to help graduate programs adapt thoughtfully rather than reactively. Guest authors Bryna Kra and Rachel Ward, who helped shape the conversation, present these findings as a starting point for a broader community discussion about preserving the rigor and creativity at the heart of mathematical research while embracing the genuine opportunities that AI presents.