AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Social Work 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

    Prepare course materials and handouts

    Use an agent to gather recent readings, your course goals, and comments from the last term, then draft a refreshed syllabus packet, assignment sheet, or handout set you can review before class opens.

  2. 2

    Grade assessments and update records

    Use an agent to take your rubric, student submissions, attendance record, and grade notes, then help score work, draft feedback, and update the gradebook in one pass.

  3. 3

    Revise curriculum and course outlines

    Use an agent to compare your current syllabus, student outcomes, and recent field readings, then draft a revised course outline with suggested updates to readings, assignments, and class topics.

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O*NET-SOC 25-1113.00 · #169 of 923

Result context

How to read this result

Teach courses in social work. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

National position
#169 of 923 occupations
Top 19% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 80/100
Meaningful work covered
58%

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

Prepare course materials and handouts

How you could use an agent

Use an agent to gather recent readings, your course goals, and comments from the last term, then draft a refreshed syllabus packet, assignment sheet, or handout set you can review before class opens. It can also compare versions across sections so you quickly see what changed and what still needs your judgment.

Where you stay involved

You check whether the materials fit your teaching goals, correct anything that is misleading or out of date, and approve the final version before students see it.

Review level: Low

2

Grade assessments and update records

How you could use an agent

Use an agent to take your rubric, student submissions, attendance record, and grade notes, then help score work, draft feedback, and update the gradebook in one pass. It can also flag missing work or odd score patterns so you can check them before grades go out.

Where you stay involved

You review the scoring, decide how to handle missing work or possible misconduct, and finalize any grade changes or student follow-up.

Review level: High

3

Revise curriculum and course outlines

How you could use an agent

Use an agent to compare your current syllabus, student outcomes, and recent field readings, then draft a revised course outline with suggested updates to readings, assignments, and class topics. It can group ideas by what needs minor editing versus a fuller rewrite, so you have a clean starting point for the next review cycle.

Where you stay involved

You decide which revisions make sense for the course, adjust anything that affects department rules, and approve the version that goes forward.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

73 / 100

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

Importance & frequency74
AI capability80
Digital actionability85
End-to-end leverage74
Safety & reversibility84
Meaningful-work coverage
58%
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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