AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Teaching Assistants, Special 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

    Prepare class materials for assigned student

    Use an agent to turn the teacher’s plan, your notes, and what you see during class into a short support log for one student.

  2. 2

    Draft guidance for small groups on lesson skills

    Use an agent to build a small-group practice sheet from the teacher’s lesson materials, answer key, and your notes on where students got stuck.

  3. 3

    Track student progress and participation

    Use an agent to compile attendance, participation notes, and score entries from the day’s classwork into a clean record for the teacher.

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O*NET-SOC 25-9043.00 · #542 of 923

Result context

How to read this result

Assist a preschool, elementary, middle, or secondary school teacher to provide academic, social, or life skills to students who have learning, emotional, or physical disabilities. Serve in a position for which a teacher has primary responsibility for the design and implementation of educational programs and services.

National position
#542 of 923 occupations
Top 59% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Limited · 62/100
Meaningful work covered
63%

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 class materials for assigned student

How you could use an agent

Use an agent to turn the teacher’s plan, your notes, and what you see during class into a short support log for one student. It can help you track the prompts, adaptive supports, and classroom responses so the teacher has a clear record of what helped.

Where you stay involved

You give the support, watch how the student responds, and decide when the teacher needs to step in because the student is unsafe, upset, or needs a different plan.

Review level: High

2

Draft guidance for small groups on lesson skills

How you could use an agent

Use an agent to build a small-group practice sheet from the teacher’s lesson materials, answer key, and your notes on where students got stuck. It can organize the directions, simple examples, and a follow-up list of who may need another round of help.

Where you stay involved

You lead the practice, give hints as needed, check the finished work, and decide when the lesson needs to go back to the teacher.

Review level: Medium

3

Track student progress and participation

How you could use an agent

Use an agent to compile attendance, participation notes, and score entries from the day’s classwork into a clean record for the teacher. It can also help you spot repeated missing work or a pattern in behavior so you can mention it in a conference or handoff note.

Where you stay involved

You record what happened, check that the log is complete, and decide when a student’s behavior or progress needs to be raised with the teacher or specialist.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Limited

Underlying methodology score

58 / 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 capability69
Digital actionability62
End-to-end leverage54
Safety & reversibility54
Meaningful-work coverage
63%
Physical-work modifier
Moderate
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
30 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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