Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They solve problems by using math to analyze data, develop models, and find patterns that help make important decisions in fields like science, business, and technology.
Summary
A career as a mathematician is labeled as "Evolving" because AI tools are increasingly being integrated to handle routine tasks like calculations and code generation. However, mathematicians still rely on their creativity and judgment for developing new theories and proofs, which AI cannot fully replace.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
Summary
A career as a mathematician is labeled as "Evolving" because AI tools are increasingly being integrated to handle routine tasks like calculations and code generation. However, mathematicians still rely on their creativity and judgment for developing new theories and proofs, which AI cannot fully replace.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Mathematicians
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Mathematicians already use computers for much of the heavy lifting, and AI is starting to help. For example, modern AI assistants can automatically generate code in Python – plotting functions or solving equations – to do calculations [1] [1]. Official job guides list “perform computations” and “build models” as core math tasks [2], and those routine steps are often done by software today.
But experts stress that current AI only augments human work. Studies of “AI for mathematicians” call it an assistant or “copilot” under human guidance [1]. In practice the AI can suggest steps or examples, but mathematicians still check everything.
Creative tasks – like formulating new theories or proofs – remain largely human. As one expert put it, even top AI math tools aren’t yet as capable as people at deep proofs [3]. In short, AI handles many calculations and examples, but mathematicians use their judgment for the hard, creative parts [1] [3].

AI Adoption
Whether mathematicians quickly adopt AI tools depends on many factors. On the one hand, general AI is spreading fast (about 78% of companies now use AI in some form [1]), and young researchers are eager to try these helpers [3]. On the other hand, math work demands precision and trust.
A Reuters survey found ~80% of people still prefer a human for important decisions [4], and mathematicians are cautious about new tech. Cutting-edge math AIs have needed huge (and expensive) computing power to beat top tests [4], so they’re mostly in well-funded labs now. Privacy is also a concern: one study warns that cloud AI might use unpublished research data without permission [1].
Finally, math talent is in high demand (BLS projects ~8% job growth [5]), so there’s less pressure to replace workers. In practice, most math groups view AI as a tool that can speed up routine work, not a way to cut people. Over time, as tools improve and mathematicians get comfortable with them, AI will likely spread – but always under human oversight [4] [3], keeping the creative judgment of mathematicians at the center.

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Median Wage
$121,680
Jobs (2024)
2,400
Growth (2024-34)
-0.7%
Annual Openings
100
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields.
Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.
Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols.
Design, analyze, and decipher encryption systems designed to transmit military, political, financial, or law-enforcement-related information in code.
Conduct research to extend mathematical knowledge in traditional areas, such as algebra, geometry, probability, and logic.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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