AI Delegation Index

What work could you hand off to an AI agent?

Secondary School Teachers, Except Special and Career/Technical Education

Limited

AI agents could help with a focused set of planning and documentation tasks, while hands-on work and judgment remain human-led.

Where agents can help most

  1. 1

    Grade assignments and plan reteach

    Use an agent to compile quiz scores, homework results, and item-level errors into a quick class summary.

  2. 2

    Track delivery of lessons and adjust pacing

    Use an agent to turn your lesson objective, materials, and class notes into a paced teaching plan for the day.

  3. 3

    Plan lessons and gather materials

    Use an agent to pull your curriculum notes, class outline, and supply list into a lesson-prep checklist.

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O*NET-SOC 25-2031.00 · #468 of 923

Result context

How to read this result

Teach one or more subjects to students at the secondary school level.

National position
#468 of 923 occupations
Top 51% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Moderate · 67/100
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

Grade assignments and plan reteach

How you could use an agent

Use an agent to compile quiz scores, homework results, and item-level errors into a quick class summary. It can help you spot the skills students missed, draft a short reteach or practice plan, and prepare comments you can use when you return the work.

Where you stay involved

You grade the work, decide which gaps need another lesson, and choose the follow-up activity that fits your class. You also handle any grade dispute or possible cheating through school procedure.

Review level: Medium

2

Track delivery of lessons and adjust pacing

How you could use an agent

Use an agent to turn your lesson objective, materials, and class notes into a paced teaching plan for the day. It can help you outline examples, organize digital or visual aids, and capture signs of confusion so you can slow down, explain differently, or move on at the right time.

Where you stay involved

You teach the lesson, watch how students respond, and decide when to change your approach. You also handle behavior issues or concerns that need school support.

Review level: Medium

3

Plan lessons and gather materials

How you could use an agent

Use an agent to pull your curriculum notes, class outline, and supply list into a lesson-prep checklist. It can help you see what still needs to be ordered, issued, or set out in the room, so you walk in with materials ready and the lesson sequence clear.

Where you stay involved

You choose the final lesson flow, gather or request the needed materials, and make sure the classroom is ready. You also raise any missing resource or curriculum problem to the right school leader.

Review level: Low

Supporting analysis

Why this occupation's AI delegation potential is Limited

Underlying methodology score

61 / 100

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

Importance & frequency77
AI capability70
Digital actionability63
End-to-end leverage62
Safety & reversibility63
Meaningful-work coverage
58%
Physical-work modifier
Moderate
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
32 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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