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Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

30.3%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

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

Mathematicians

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.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info

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 analysis

Contributing 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

Learn about this score
Evolving iconEvolving

66.7%

66.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Changing fast iconChanging fast

2.2%

2.2%

Anthropic's Economic Index

Changing fast iconChanging fast

13.3%

13.3%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

71.5%

71.5%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

-0.7%

Growth Percentile:

22.8%

Annual Openings:

0.1

Annual Openings Pct:

0.3%

Analysis of Current AI Resilience

Mathematicians

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

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].

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AI Adoption

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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More Career Info

Career: Mathematicians

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

85% ResilienceCore Task

Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.

2

85% ResilienceCore Task

Develop new principles and new relationships between existing mathematical principles to advance mathematical science.

3

65% ResilienceCore Task

Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields.

4

65% ResilienceCore Task

Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.

5

65% ResilienceCore Task

Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols.

6

65% ResilienceSupplemental

Design, analyze, and decipher encryption systems designed to transmit military, political, financial, or law-enforcement-related information in code.

7

65% ResilienceSupplemental

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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