Mathematicians Hate AI. They Can’t Quit It

A growing tension has emerged within the mathematics community regarding the integration of artificial intelligence into their research. While many mathematicians express deep skepticism and concern over the existential risks AI poses to the integrity of their field, they find themselves increasingly dependent on these tools. AI models have demonstrated an unprecedented ability to assist in complex calculations, identify patterns, and suggest potential proofs, making them indispensable for modern research workflows. Despite fears that reliance on black-box algorithms might erode the traditional rigor of mathematical discovery, the practical utility of these systems is too significant to ignore. The community is now grappling with a fundamental paradox: how to maintain the foundational standards of mathematical truth while leveraging the powerful, yet often opaque, capabilities of machine learning. This ongoing struggle highlights the broader challenge of balancing technological efficiency with the preservation of human intellectual expertise.