As of June 2026, Mathematicians has an AI-exposure score of 59/100 (Elevated exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Mathematicians

59/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 61% of the roles we track. Median pay ~US$126,710. About 100 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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How you compare to similar Computer & Mathematical roles

Mathematicians (you)
59
Computer and Information Research Scientists
59
Video Game Designers
60
Operations Research Analysts
60
Biostatisticians
61
Computer User Support Specialists
66
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Your tasks, by AI exposure

Automatable
  • Maintain knowledge in the field by reading professional journals, talking with other mathematicians, and attending professional conferences.
  • Design, analyze, and decipher encryption systems designed to transmit military, political, financial, or law-enforcement-related information in code.
Augmentable
  • Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols.
  • Develop mathematical or statistical models of phenomena to be used for analysis or for computational simulation.
  • Perform computations and apply methods of numerical analysis to data.
  • Assemble sets of assumptions, and explore the consequences of each set.
  • Develop new principles and new relationships between existing mathematical principles to advance mathematical science.
  • Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.
  • Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields.
  • Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
  • Conduct research to extend mathematical knowledge in traditional areas, such as algebra, geometry, probability, and logic.
Durable

No durable tasks identified for this role — its real, individually-assessed tasks consistently read as augmentable (82%).

Safer adjacent roles

Physicists
80% skills overlap · Elevated exposure · ~US$172,250
60
Computer and Information Research Scientists
72% skills overlap · Elevated exposure · ~US$140,300
59
Bioinformatics Scientists
64% skills overlap · Elevated exposure · ~US$98,920
59
Biostatisticians
56% skills overlap · Elevated exposure · ~US$105,650
61
Data Scientist
48% skills overlap · Elevated exposure · ~US$108,020
56
Statistician
40% skills overlap · Elevated exposure · ~US$99,000
57
Operations Research Analysts
40% skills overlap · Elevated exposure · ~US$88,940
60
Bioinformatics Technicians
40% skills overlap · Very High exposure · ~US$81,490
73

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.