AI Delegation Index

What work could you hand off to an AI agent?

Special Education Teachers, Elementary School

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

    Update IEP progress notes

    Use an agent to pull together work samples, test results, and observation notes, then draft progress notes that reflect what the student is doing now and what should come next.

  2. 2

    Prepare an IEP meeting summary

    Use an agent to gather the latest progress notes, parent messages, and staff observations, then draft a meeting summary with proposed goals, supports, and follow-up items.

  3. 3

    Adapt a lesson for a student

    Use an agent to take the student’s plan and recent notes, then draft a small lesson sequence with adapted materials, prompts, or hands-on supports for that child.

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O*NET-SOC 25-2056.00 · #280 of 923

Result context

How to read this result

Teach academic, social, and life skills to elementary school students with learning, emotional, or physical disabilities. Includes teachers who specialize and work with students who are blind or have visual impairments; students who are deaf or have hearing impairments; and students with intellectual disabilities.

National position
#280 of 923 occupations
Top 31% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 76/100
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

Update IEP progress notes

How you could use an agent

Use an agent to pull together work samples, test results, and observation notes, then draft progress notes that reflect what the student is doing now and what should come next. It gives you a cleaner record for the file so you can review it, correct it, and keep the student’s support information current.

Where you stay involved

You read the evidence, decide what belongs in the record, and make sure the notes match the student’s actual progress and the school’s requirements.

Review level: Medium

2

Prepare an IEP meeting summary

How you could use an agent

Use an agent to gather the latest progress notes, parent messages, and staff observations, then draft a meeting summary with proposed goals, supports, and follow-up items. It gives you a meeting-ready packet you can bring to the team and update after everyone has agreed on the next steps.

Where you stay involved

You review the draft, discuss it with the team, and decide what goes into the final plan or follow-up list.

Review level: High

3

Adapt a lesson for a student

How you could use an agent

Use an agent to take the student’s plan and recent notes, then draft a small lesson sequence with adapted materials, prompts, or hands-on supports for that child. It helps you prepare a lesson that matches the student’s needs and gives you a place to record what you changed and how it went.

Where you stay involved

You teach the lesson, watch the student’s response, decide whether the adaptation worked, and stop to get help if the plan no longer fits.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

69 / 100

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

Importance & frequency83
AI capability84
Digital actionability71
End-to-end leverage69
Safety & reversibility67
Meaningful-work coverage
63%
Physical-work modifier
Limited
Safety modifier
Limited
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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