Mathematicians
Conduct research in fundamental mathematics or in application of mathematical techniques to science, management, and other fields. Solve problems in various fields using mathematical methods.
BLS SOC 15-2021 · O*NET-SOC 15-2021.00 · BLS 2025–2035 · O*NET 31.0
Median annual wage, 2025
$126,710
Projected change, 2025–2035
0.6%
2025–2035 annual average openings
100
AI exposure
Very high
Editorial analysis
AI can suggest a proof. Mathematics still demands proof.
Mathematicians are beginning to work with AI systems capable of exploring conjectures, searching large spaces of possibilities, manipulating expressions, producing candidate proofs, and connecting problems with potentially relevant results from other areas of mathematics.
A machine-generated idea can still be mathematically interesting even when it is wrong
One potential value of AI is as a source of conjectures and approaches that a mathematician might not have considered. The human researcher can then determine whether the idea is meaningful, repair it if possible, and produce the rigorous reasoning required to establish the result.
- AI can search, calculate, and generate candidate approaches rapidly.
- Formal verification tools can help check increasingly complex reasoning.
- Mathematicians may spend more time directing automated exploration.
- Conceptual breakthroughs, abstraction, rigorous proof, and deciding why a result matters remain central to the discipline.
Rather than making mathematics obsolete, increasingly capable AI may give mathematicians a new experimental instrument. The profession could become less constrained by computation while placing even more value on deep understanding.
Labor-market picture
Two measures, different questions
These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.
Employment
- Employment, 2025
- 2,200 jobs
- Projected employment, 2035
- 2,200 jobs
- Projected change, 2025–2035
- 0 jobs (0.6%)
Relative AI exposure
BLS category: Very high. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.
Relative AI exposure · Very high
Work profile
Representative tasks
These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.
- Mentor others on mathematical techniques.
- 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.
- Disseminate research by writing reports, publishing papers, or presenting at professional conferences.
- Assemble sets of assumptions, and explore the consequences of each set.
- Perform computations and apply methods of numerical analysis to data.
Skills that matter
Skills in the source profile
Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.
Technology and tools
These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.
- Graphics or photo imaging software
- Analytical or scientific software
- Operating system software
- Content workflow software
- Development environment software
- Object or component oriented development software
- Web platform development software
- Industrial control software
Preparation
- Typical entry education
- Master's degree
- Related experience
- None
- On-the-job training
- None
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Source provenance
Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.