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Two students are looking at a blackboard in the mathematics building at the Technical University of Berlin. Christophe Gateau/picture alliance via Getty Images

STEM was supposed to be a safe bet. Now young mathematicians fear it’s all over — 'incredibly uncertain about our own futures'

More than three-quarters of graduate students and post-doctorate researchers specializing in math no longer see a future in the field that they’ve devoted so much of their time, money, and passion to, as AI continues to devour positions across vocations.

The stat is part of a new survey out of MIT that polled emerging career mathematicians across dozens of higher learning institutions, measuring their feelings about artificial intelligence and how they see it impacting their livelihoods. It is a preprint, meaning it has not yet been peer-reviewed.

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This year has been a banner one for automated, algorithmic number crunchers, which have managed to disprove long-established theories and solve hundreds of open equations, some of them having previously baffled human arithmeticians for decades.

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It’s exciting progress for technology, but also daunting for humanity, representing what so many of us fear: machines not just replacing, but besting us.

‘Incredibly uncertain about our own futures’

The fact that entry-level professionals across sectors are most impacted by the rise in artificial intelligence and facing dire unemployment rates served as the impetus for the MIT paper, with researchers acknowledging that though there has been talk about neural networks’ influence on STEM disciplines, it’s mostly been among more established voices who are less exposed to the immediate risk of replacement.

“The personal stakes are highest for early career researchers,” they assert, expressing a goal of not just “providing a platform for graduate students and postdocs to voice their opinions, concerns, and experiences” on the matter, but also drawing authorities’ awareness to the level of crisis younger people are facing.

“We’re being forced to reckon with existential questions about a field we love, all while incredibly uncertain about our own futures,” the team writes.

“As AI companies turn to the field of math as a new benchmarking standard, frontier models are getting better at proving mathematical theorems at a faster rate than most of us were prepared for. As a result, mathematicians are grappling with the fact that a core part of our jobs could soon be automated.”

And the results speak for themselves.

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By the numbers

Of the nearly 300 people surveyed, most of whom hailed from the U.S., an astounding 81% have considered altering their career trajectory because of how chatbots and similar tech are developing. A total of 17% ultimately decided against shifting paths at this point, while 8% have already changed course, and 56% are still undecided.

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Additionally, looking ahead, the vast majority of respondents anticipate that developments in AI will make it harder to secure a tenure-track role in their field. As a result, 70% say their likelihood of remaining in the maths sector after degree completion has decreased in recent months (vs. 9% who say it has increased).

Interestingly, 86% of participants admit to using AI for their work in some capacity (mostly for scouring source literature), despite the ontological threat that the tech poses. However, 55% said that they “relatively dislike” using AI for such tasks, compared to 31% who “relatively like” it.

Perhaps most disheartening were the attitudes proliferating as machine learning advances: 76.5% say they’ve been left less motivated to pursue their research goals, and that they’d be dejected if AI ended up solving a problem they’d been working on.

All this in mind, less than one-third feel as if their departments are adequately addressing the issues and dilemmas that AI presents, while the largest chunk of academics — 39% — have deeply mixed feelings, identifying as “theoretically excited about applications of AI to math, but strongly disagreeing with how things are unfolding in practice.” An additional 32% say they are either opposed to AI use for anything whatsoever in the field, or against it being used for any “creative” math tasks. A total of 10% said the state of things is “too complicated” at this point to form an opinion.

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Becky Robertson Sr. Staff Reporter

Becky Robertson is a senior staff reporter at Moneywise and a lifelong writer. Along with more than a decade covering news at outlets like blogTO and Quill & Quire, she's attended writing residencies around the world. With 33 countries visited, she finds travel to be among her greatest inspirations.

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