AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Historians

Strong

AI agents could handle several recurring digital workflows in this job, while people remain responsible for judgment and final decisions.

Where agents can help most

  1. 1

    Assemble regional research dossiers

    Use an agent to gather source material for a region or time period from archives, books, newspapers, diaries, and photographs, then sort it into a research dossier.

  2. 2

    Verify archival sources and provenance

    Use an agent to collect copies or references to archives, court records, diaries, newspapers, and photographs, then build a source register for your project.

  3. 3

    Review exhibit text and correct facts

    Use an agent to review exhibit captions, labels, and draft publication text against the source notes you provide.

Search another job

O*NET-SOC 19-3093.00 · #87 of 923

Result context

How to read this result

Research, analyze, record, and interpret the past as recorded in sources, such as government and institutional records, newspapers and other periodicals, photographs, interviews, films, electronic media, and unpublished manuscripts, such as personal diaries and letters.

National position
#87 of 923 occupations
Top 10% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 81/100
Meaningful work covered
64%

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

Assemble regional research dossiers

How you could use an agent

Use an agent to gather source material for a region or time period from archives, books, newspapers, diaries, and photographs, then sort it into a research dossier. It can group the evidence by theme or date, note where the sources agree or differ, and leave you with a clear file for deeper interpretation.

Where you stay involved

You choose the research question, judge what matters most, interpret the evidence, and decide whether the topic needs more work before anything is shared or published.

Review level: Medium

2

Verify archival sources and provenance

How you could use an agent

Use an agent to collect copies or references to archives, court records, diaries, newspapers, and photographs, then build a source register for your project. It can compare dates, authors, and custody notes, flag items that look inconsistent, and help you keep track of which records are ready to use.

Where you stay involved

You decide whether a source is trustworthy enough for the project, resolve doubtful cases, and handle any ownership or access questions before the material is used.

Review level: High

3

Review exhibit text and correct facts

How you could use an agent

Use an agent to review exhibit captions, labels, and draft publication text against the source notes you provide. It can flag factual mistakes, suggest corrected wording, and prepare a marked-up list so you can send it back to the exhibit team for revision.

Where you stay involved

You confirm the historical details, decide what needs to change, and approve the final text before it goes live or into print.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

76 / 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 capability86
Digital actionability90
End-to-end leverage85
Safety & reversibility75
Meaningful-work coverage
64%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
21 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

Similar occupations

Compare side by side

Survey Researchers

AI delegation potential: Strong

Top 7% of occupations · #56

Bioinformatics Scientists

AI delegation potential: Strong

Top 2% of occupations · #17

Environmental Economists

AI delegation potential: Strong

Top 3% of occupations · #21

Political Scientists

AI delegation potential: Moderate

Top 18% of occupations · #164