AI Delegation Index

What work could you hand off to an AI agent?

Archivists

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

    Find requested archival materials

    Use an agent to search catalogs, finding aids, and accession notes from the request details a patron gives you, then suggest the most likely materials and the access rules that apply.

  2. 2

    Fix archival descriptions and metadata

    Use an agent to review draft archival descriptions against the source records, then standardize names, dates, and field labels so the records are easier to find.

  3. 3

    Classify new archival accessions

    Use an agent to read accession details, compare them with existing series and folder structures, and draft a suggested class or storage label for each new record group.

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O*NET-SOC 25-4011.00 · #144 of 923

Result context

How to read this result

Appraise, edit, and direct safekeeping of permanent records and historically valuable documents. Participate in research activities based on archival materials.

National position
#144 of 923 occupations
Top 16% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 78/100
Meaningful work covered
66%

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

Find requested archival materials

How you could use an agent

Use an agent to search catalogs, finding aids, and accession notes from the request details a patron gives you, then suggest the most likely materials and the access rules that apply. It can also draft a retrieval note or digitization request so you can respond faster and more consistently.

Where you stay involved

You confirm the item, decide whether access is allowed, and handle any fragile, restricted, or identity-sensitive request yourself.

Review level: High

2

Fix archival descriptions and metadata

How you could use an agent

Use an agent to review draft archival descriptions against the source records, then standardize names, dates, and field labels so the records are easier to find. It can point out missing fields or inconsistent wording and prepare a cleaner version for the cataloging queue.

Where you stay involved

You check whether the edit matches the original material, decide if any record needs a closer look, and approve anything that could change the historical meaning.

Review level: Medium

3

Classify new archival accessions

How you could use an agent

Use an agent to read accession details, compare them with existing series and folder structures, and draft a suggested class or storage label for each new record group. It can flag unclear provenance or restriction notes so you have a more organized starting point for filing.

Where you stay involved

You confirm the placement, decide what needs specialist attention, and handle any record with a legal or preservation concern before it is filed.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

73 / 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 capability81
Digital actionability84
End-to-end leverage77
Safety & reversibility64
Meaningful-work coverage
66%
Physical-work modifier
Limited
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
13 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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