AI exposure by occupation, O*NET 25-1021.00

Will AI replace Computer Science Teachers, Postsecondary?

Computer Science Teachers, Postsecondary: AI can already handle 8 of 26 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 26 tasks O*NET 30.3 lists for Computer Science Teachers, Postsecondary, from most to least exposed. 8 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Advise students on academic and vocational curricula and on career issues. 86 Observed Standard 4.0
Compile, administer, and grade examinations or assign this work to others. 80 Estimated Frontier 4.6
Compile bibliographies of specialized materials for outside reading assignments. 80 Estimated Efficient 3.2
Evaluate and grade students' class work, laboratory work, assignments, and papers. 65 Estimated Standard 4.4
Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. 65 Estimated Standard 4.2
Maintain regularly scheduled office hours to advise and assist students. 60 Estimated Frontier 4.1
Provide professional consulting services to government or industry. 60 Estimated Frontier 3.0
Act as advisers to student organizations. 60 Estimated Frontier 2.9
Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design. 50 Estimated Standard 4.5
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences. 50 Estimated Standard 4.2
Develop and maintain Web sites for online courses. 50 Estimated Frontier 3.9
Direct research of other teachers or of graduate students working for advanced academic degrees. 35 Estimated Standard 4.2
Supervise undergraduate or graduate teaching, internship, and research work. 35 Estimated Standard 4.2
Collaborate with colleagues to address teaching and research issues. 35 Estimated Efficient 3.7
Prepare course materials, such as syllabi, homework assignments, and handouts. 30 Estimated Efficient 4.6
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. 30 Estimated Efficient 4.1
Supervise students' laboratory work. 30 Estimated Standard 4.0
Initiate, facilitate, and moderate classroom discussions. 30 Estimated Efficient 3.9
Participate in student recruitment, registration, and placement activities. 30 Estimated Standard 3.8
Write grant proposals to procure external research funding. 30 Estimated Efficient 3.8
Perform administrative duties, such as serving as department head. 30 Estimated Standard 3.8
Select and obtain materials and supplies, such as textbooks and laboratory equipment. 30 Estimated Standard 3.6
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues. 30 Estimated Standard 3.4
Participate in campus and community events. 30 Estimated Efficient 3.1
Maintain student attendance records, grades, and other required records. 20 Estimated Standard 4.2
Maintain computer equipment used in instruction. 20 Estimated Efficient 3.5

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 26 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 25 of 26. 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 standard-tier model or lower covers 82% 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
35,480
Median annual wage
$96,980
Middle half of earners
$66,600 to $131,320
Projected change, 2024 to 2034
+5.3%

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.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Computer Science Teachers, Postsecondary and AI

Will AI replace Computer Science Teachers, Postsecondary?

AI already handles 8 of the 26 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 44 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 +5.3% from 2024 to 2034.

What is the AI exposure of Computer Science Teachers, Postsecondary?

44 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 26 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 25 are estimated from each task's O*NET work activity.

Which Computer Science Teachers, Postsecondary tasks can AI already do?

The tasks with the highest exposure are: Advise students on academic and vocational curricula and on career issues; Compile, administer, and grade examinations or assign this work to others; Compile bibliographies of specialized materials for outside reading assignments. They are three of the 8 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 82% 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 Computer Science Teachers, Postsecondary, and what do they earn?

35,480 people in the United States, with a median annual wage of $96,980 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +5.3% 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: Computer 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/computer-science-teachers-postsecondary

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