AI exposure by occupation, O*NET 25-1022.00
Will AI replace Mathematical Science Teachers, Postsecondary?
Mathematical Science Teachers, Postsecondary: AI can already handle 17 of 23 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 23 tasks O*NET 30.3 lists for Mathematical Science Teachers, Postsecondary, from most to least exposed. 17 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Compile, administer, and grade examinations, or assign this work to others. | Estimated | Standard | |
| Compile bibliographies of specialized materials for outside reading assignments. | Estimated | Efficient | |
| Evaluate and grade students' class work, assignments, and papers. | Estimated | Standard | |
| Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. | Estimated | Standard | |
| Prepare course materials, such as syllabi, homework assignments, and handouts. | Estimated | Efficient | |
| Maintain regularly scheduled office hours to advise and assist students. | Estimated | Frontier | |
| Initiate, facilitate, and moderate classroom discussions. | Estimated | Standard | |
| Conduct research in a particular field of knowledge and publish findings in books, professional journals, or electronic media. | Estimated | Standard | |
| Select and obtain materials and supplies, such as textbooks. | Estimated | Frontier | |
| Advise students on academic and vocational curricula and on career issues. | Estimated | Frontier | |
| Perform administrative duties, such as serving as department head. | Estimated | Frontier | |
| Conduct faculty performance evaluations. | Estimated | Standard | |
| Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues. | Estimated | Frontier | |
| Act as advisers to student organizations. | Estimated | Frontier | |
| Participate in student recruitment, registration, and placement activities. | Estimated | Frontier | |
| Write grant proposals to procure external research funding. | Estimated | Efficient | |
| Participate in campus and community events. | Estimated | Standard | |
| Keep abreast of developments and technological advances in the mathematical field by reading current literature, talking with colleagues, and participating in professional conferences. | Estimated | Standard | |
| Develop department and course schedules. | Estimated | Efficient | |
| Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra, differential equations, and discrete mathematics. | Observed | Efficient | |
| Collaborate with colleagues to address teaching and research issues. | Estimated | Efficient | |
| Supervise undergraduate or graduate teaching, internship, and research work. | Estimated | Standard | |
| Maintain student attendance records, grades, and other required records. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 23 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 22 of 23. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 47,670
- Median annual wage
- $79,940
- Middle half of earners
- $61,690 to $105,000
- Projected change, 2024 to 2034
- +2.3%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Computer Science Teachers, Postsecondary 74% skill overlap, about 9 months to move Exposure44
- Biological Science Teachers, Postsecondary 74% skill overlap, about 10 months to move Exposure63
- Economics Teachers, Postsecondary 72% skill overlap, about 10 months to move Exposure64
- Education Teachers, Postsecondary 72% skill overlap, about 10 months to move Exposure65
- Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary 71% skill overlap, about 10 months to move Exposure63
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Mathematical Science Teachers, Postsecondary and AI
Will AI replace Mathematical Science Teachers, Postsecondary?
AI already handles 17 of the 23 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 56 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +2.3% from 2024 to 2034.
What is the AI exposure of Mathematical Science Teachers, Postsecondary?
56 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 23 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 22 are estimated from each task's O*NET work activity.
Which Mathematical Science Teachers, Postsecondary tasks can AI already do?
The tasks with the highest exposure are: Compile, administer, and grade examinations, or assign this work to others; Compile bibliographies of specialized materials for outside reading assignments; Evaluate and grade students' class work, assignments, and papers. They are three of the 17 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Mathematical Science Teachers, Postsecondary, and what do they earn?
47,670 people in the United States, with a median annual wage of $79,940 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +2.3% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Mathematical Science Teachers, Postsecondary. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/mathematical-science-teachers-postsecondary
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