AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Educational, Guidance, and Career Counselors and Advisors

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

    Check academic progress for graduation

    Use an agent to pull together a student’s transcript, attendance history, schedule, and graduation requirements into a clear progress summary.

  2. 2

    Match students to career options

    Use an agent to gather a student’s test results, interview notes, and interest inventories, then match them with degree programs, training options, apprenticeships, or job resources you keep in files or linked systems.

  3. 3

    Plan student orientation sessions

    Use an agent to prepare orientation materials, pull together deadlines and key contacts, and turn your session notes into a simple checklist for new or transitioning students.

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O*NET-SOC 21-1012.00 · #231 of 923

Result context

How to read this result

Advise and assist students and provide educational and vocational guidance services.

National position
#231 of 923 occupations
Top 26% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Moderate · 73/100
Meaningful work covered
78%

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

Check academic progress for graduation

How you could use an agent

Use an agent to pull together a student’s transcript, attendance history, schedule, and graduation requirements into a clear progress summary. It can flag missing credits or conflicts, draft a message for the family or registrar, and prepare a follow-up note so you can keep the student on track.

Where you stay involved

You confirm what the records really show, talk with the student and others involved, decide the next step, and handle any unclear rule or eligibility issue yourself.

Review level: High

2

Match students to career options

How you could use an agent

Use an agent to gather a student’s test results, interview notes, and interest inventories, then match them with degree programs, training options, apprenticeships, or job resources you keep in files or linked systems. It can draft a short recommendation and a follow-up reminder so you can see whether the student used the referral.

Where you stay involved

You talk through the student’s goals, review the match, decide what to recommend, and send any crisis or sensitive matter to the right specialist.

Review level: High

3

Plan student orientation sessions

How you could use an agent

Use an agent to prepare orientation materials, pull together deadlines and key contacts, and turn your session notes into a simple checklist for new or transitioning students. It can also draft a follow-up message and capture common questions so you can adjust the next session.

Where you stay involved

You lead the session, answer questions, decide what guidance is appropriate, and send students to the right office when a case involves eligibility, accommodations, or serious distress.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

70 / 100

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

Importance & frequency71
AI capability72
Digital actionability76
End-to-end leverage69
Safety & reversibility78
Meaningful-work coverage
78%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
35 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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