Chicago university professor argues AI era demands greater research vision and communication skills in math hiring

Frank Calegari, a prominent mathematics professor at the University of Chicago, stated that the increasing capability of AI tools necessitates a shift in how academic institutions recruit researchers. Calegari emphasized that future hiring must prioritize a candidate's ability to articulate their research vision and explain its feasibility, rather than solely relying on written submissions. He expressed concern that AI could allow students to generate low-quality research proofs en masse, suggesting that a brief, 30-minute in-person discussion is sufficient to distinguish between those who merely mass-produce work and those with genuine research foresight. Calegari urged institutions to better train graduate students in mathematical expression. This sentiment follows remarks from Cornell University professor Steven Strogatz, who recently noted the growing value of mathematicians possessing strong interpersonal skills, or 'rizz,' for interpreting AI-generated results. The anxiety is heightened by the rapid entry of AI companies into mathematics, such as OpenAI releasing hundreds of solutions to complex problems, prompting students across the US, including those at MIT, to seek clear guidelines on AI usage from their professors.