AI Delegation Index

What work could you hand off to an AI agent?

Education Teachers, Postsecondary

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Revise course materials for approval

    Use an agent to gather recent readings, peer comments, and your current syllabus or handouts, then draft revisions to course materials for your review.

  2. 2

    Prepare exam materials and draft scores

    Use an agent to build exam drafts from your notes and rubric, organize submitted work, and tally scores into a grading sheet.

  3. 3

    Draft guidance for students and document next steps

    Use an agent to pull together student records, class progress notes, office-hour requests, and any advising forms into a clear follow-up list.

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O*NET-SOC 25-1081.00 · #316 of 923

Result context

How to read this result

Teach courses pertaining to education, such as counseling, curriculum, guidance, instruction, teacher education, and teaching English as a second language. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

National position
#316 of 923 occupations
Top 35% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Moderate · 73/100
Meaningful work covered
60%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Revise course materials for approval

How you could use an agent

Use an agent to gather recent readings, peer comments, and your current syllabus or handouts, then draft revisions to course materials for your review. It can help you line up assignments and objectives with program requirements so you have a cleaner packet to approve or revise.

Where you stay involved

You decide what stays, what changes, and whether the revised materials meet your standards and department expectations. You make the final judgment on any significant curriculum change.

Review level: Medium

2

Prepare exam materials and draft scores

How you could use an agent

Use an agent to build exam drafts from your notes and rubric, organize submitted work, and tally scores into a grading sheet. It can also flag missing submissions or score totals that do not add up so you can review them before grades are posted.

Where you stay involved

You decide the final questions, grade the work or check the grading done by others, and resolve any questionable cases. You remain responsible for academic integrity concerns and grading disputes.

Review level: High

3

Draft guidance for students and document next steps

How you could use an agent

Use an agent to pull together student records, class progress notes, office-hour requests, and any advising forms into a clear follow-up list. It can draft meeting summaries and reminder emails so you can leave each student with a recorded plan and the next step.

Where you stay involved

You meet with students, give the advice, and decide when a concern belongs with another campus office. You also choose any referrals related to counseling, conduct, disability, or other sensitive matters.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

67 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency72
AI capability77
Digital actionability79
End-to-end leverage66
Safety & reversibility70
Meaningful-work coverage
60%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
24 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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