AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Economics 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 syllabus and course materials

    Use an agent to compare your current syllabus, readings, handouts, and assignments with recent articles, colleague notes, and course goals, then draft updated language and a change summary.

  2. 2

    Lead class discussion and check understanding

    Use an agent to draft lecture notes, discussion prompts, and short exit questions from your topic outline, then summarize student questions or feedback you collect after class.

  3. 3

    Create exams and verify grading

    Use an agent to assemble exam questions, format rubrics, and check grade entries against your roster and attendance records, then flag missing scores or mismatched totals.

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O*NET-SOC 25-1063.00 · #188 of 923

Result context

How to read this result

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

National position
#188 of 923 occupations
Top 21% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 76/100
Meaningful work covered
75%

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 syllabus and course materials

How you could use an agent

Use an agent to compare your current syllabus, readings, handouts, and assignments with recent articles, colleague notes, and course goals, then draft updated language and a change summary. It can help you keep examples current and point out where a reading or homework set no longer matches the course.

Where you stay involved

You decide what to keep, rewrite, or drop, and you approve any changes that affect the course structure, requirements, or department rules.

Review level: Medium

2

Lead class discussion and check understanding

How you could use an agent

Use an agent to draft lecture notes, discussion prompts, and short exit questions from your topic outline, then summarize student questions or feedback you collect after class. It can help you spot which concepts need another example or a slower explanation for the next session.

Where you stay involved

You lead the class, judge whether the discussion is going well, and decide how to adjust the next lecture or activity based on what you hear.

Review level: Medium

3

Create exams and verify grading

How you could use an agent

Use an agent to assemble exam questions, format rubrics, and check grade entries against your roster and attendance records, then flag missing scores or mismatched totals. It can also draft a clean grade sheet or correction list so you can post results with fewer clerical mistakes.

Where you stay involved

You decide the exam content, apply the rubric, review any disputed or unusual cases, and approve final grades before they are recorded.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

72 / 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 capability81
Digital actionability76
End-to-end leverage63
Safety & reversibility87
Meaningful-work coverage
75%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
22 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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