AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Elementary School Teachers, Except 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

    Draft guidance for small-group support and check progress

    Use an agent to gather assessment results, classroom notes, and sample work for students who need extra help, then draft a small-group support plan and simple practice materials.

  2. 2

    Review student progress with parents

    Use an agent to pull together grades, test results, homework, and classroom observations into a plain-language progress summary for a parent conference or message.

  3. 3

    Build classroom routines and correct behavior

    Use an agent to collect your class rules, routine notes, and behavior logs, then draft a simple plan for teaching procedures and responding to repeated disruptions.

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O*NET-SOC 25-2021.00 · #530 of 923

Result context

How to read this result

Teach academic and social skills to students at the elementary school level.

National position
#530 of 923 occupations
Top 58% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Moderate · 67/100
Meaningful work covered
40%

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

Draft guidance for small-group support and check progress

How you could use an agent

Use an agent to gather assessment results, classroom notes, and sample work for students who need extra help, then draft a small-group support plan and simple practice materials. The agent can also summarize whether the same skill is improving over time so you can keep or change the support you’re using.

Where you stay involved

You choose which students need the support, teach the group, watch how they respond, and decide whether to keep, change, or stop the activities based on what you see and collect.

Review level: High

2

Review student progress with parents

How you could use an agent

Use an agent to pull together grades, test results, homework, and classroom observations into a plain-language progress summary for a parent conference or message. The agent can also draft a short list of follow-up items so you can focus the conversation on the student’s current needs.

Where you stay involved

You review the summary for accuracy, talk with the parent or guardian, explain the student’s progress, and decide what follow-up steps should be recorded and shared next.

Review level: Medium

3

Build classroom routines and correct behavior

How you could use an agent

Use an agent to collect your class rules, routine notes, and behavior logs, then draft a simple plan for teaching procedures and responding to repeated disruptions. The agent can also help you track which reminders or corrections are working so you can tighten the routine over time.

Where you stay involved

You teach the routines, enforce the rules, watch how the class responds, and decide when a pattern needs a different approach or help from another adult.

Review level: High

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 & frequency84
AI capability70
Digital actionability56
End-to-end leverage59
Safety & reversibility62
Meaningful-work coverage
40%
Physical-work modifier
Moderate
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
38 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.

Useful comparisons

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