AI does math. Should you get a PhD? (jasonpolak.substack.com)

A recent discussion sparked by an email from an undergraduate math student underscores a growing concern within the academic community: the value of pursuing a PhD in mathematics amidst the rapid advancements in AI and machine learning. The ability of AI, particularly models like GPT, to excel in mathematical tasks—approaching the proficiency of a first-year graduate student—has led to anxiety among aspiring mathematicians. This sentiment is further echoed by the formation of the Association for Human Mathematics, where many mathematicians pledge to avoid AI assistance in their research, but the overall influence of AI continues to loom large over the field. The significance of this conversation lies in the realization that the traditional pathway of obtaining a PhD may become less appealing and practical due to the competitive job market heavily influenced by AI capabilities. With AI systems increasingly taking over tasks previously performed by mathematicians and making job placement for PhD holders even more challenging, the advice being circulated urges students to reconsider their commitment to long-term academic studies. While the passion for mathematics remains vital, the commentary warns that the realities of employment and financial stability may render a PhD less advantageous, encouraging students to seek immediate job opportunities instead.