How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Evaluate and grade students' class work, assignments, and papers.75
- Compile, administer, and grade examinations, or assign this work to others.75
- Perform administrative duties, such as serving as department head.75
- Prepare course materials, such as syllabi, homework assignments, and handouts.75
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.01
- Compile, administer, and grade examinations, or assign this work to others.02
- Perform administrative duties, such as serving as department head.03
- Prepare course materials, such as syllabi, homework assignments, and handouts.04
- Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Sociology Teachers, Postsecondary
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Compare these careers →Political Science Teachers, Postsecondary
Closely related work
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Compare these careers →Family and Consumer Sciences Teachers, Postsecondary
Related work
Compare these careers →Communications Teachers, Postsecondary
Related work
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Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
