Nearly 70 per cent of early-career mathematics researchers surveyed by researchers at the Massachusetts Institute of Technology (MIT) said advances in artificial intelligence had reduced their likelihood of pursuing academic careers, highlighting growing concerns about the technology's impact on mathematical research and employment.
The survey, titled Early Career Researcher Responses to AI in Math, was conducted by MIT researchers Anna Brandenberger, Hanna Mularczyk and Dora Woodruff. It gathered responses from 268 graduate students and postdoctoral researchers across nearly 60 institutions in at least five countries, including India.
Approximately 85 per cent of respondents were graduate students, while the remaining 15 per cent were postdoctoral researchers.
According to the findings, 69.9 per cent reported becoming less likely to pursue academic mathematics, while 76.3 per cent believed AI would make securing a tenure-track university position more difficult. Only 6.9 per cent expected the technology to improve their employment prospects.
The survey also identified concerns about research motivation. Around 76.5 per cent of respondents said advances in AI had reduced their motivation to work on mathematical problems. A similar proportion indicated they would be unhappy if an AI system solved a problem they were researching.
Respondents expressed concerns that increasingly capable AI systems could complete research problems before human mathematicians, potentially affecting the perceived value of individual contributions.
Some researchers also reported becoming more hesitant to share unfinished work because of concerns about competition and attribution.
Despite these reservations, AI tools are already being used by several respondents for activities including literature searches, writing assistance and checking mathematical errors. However, 54.8 per cent expressed dissatisfaction with using AI in their research.
The findings also pointed to uncertainty about institutional funding and long-term career prospects. Approximately 69 per cent were concerned that research funding could move from universities towards private AI companies, while 59 per cent questioned whether mathematics would remain an enjoyable and meaningful career over the next decade.
The survey follows recent developments in AI-assisted mathematical research, including OpenAI's September announcement concerning a proposed solution to a problem involving the Navier-Stokes equations.
OpenAI said its experimental system used thousands of AI agents to generate the work. However, the announcement prompted questions about research attribution and the extent of the system's contribution. The claimed solution has not been formally recognised by the Clay Mathematics Institute.
The researchers' findings reflect the views of a surveyed group rather than the entire mathematics research community. The results therefore indicate concerns among respondents but do not establish that AI will necessarily reduce academic employment or replace mathematical researchers.
The developments have also prompted discussions within universities about adapting doctoral training, research assessment and academic supervision as AI systems become more capable of performing complex mathematical tasks.
Disclaimer: This article may include information derived from interviews, press releases, public statements, research, company communications and other publicly available or third-party sources. Such material may be summarised, paraphrased or contextualised for journalistic and editorial purposes. All rights in third-party content remain with their respective owners.