AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Cartographers and Photogrammetrists

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

    Revise maps from new source data

    Use an agent to compare new source files and change requests against the current map edition, then draft the needed corrections in the map, chart, or layout file.

  2. 2

    Apply map specifications and check proofs

    Use an agent to turn your map requirements into a production brief with scale, projection, colors, and layout notes, then compare the proof against those requirements.

  3. 3

    Gather source files for map production

    Use an agent to gather aerial photographs, survey notes, reports, and existing maps into one project folder or database, then check them against your source guidelines.

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O*NET-SOC 17-1021.00 · #258 of 923

Result context

How to read this result

Research, study, and prepare maps and other spatial data in digital or graphic form for one or more purposes, such as legal, social, political, educational, and design purposes. May work with Geographic Information Systems (GIS). May design and evaluate algorithms, data structures, and user interfaces for GIS and mapping systems. May collect, analyze, and interpret geographic information provided by geodetic surveys, aerial photographs, and satellite data.

National position
#258 of 923 occupations
Top 28% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 76/100
Meaningful work covered
52%

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

Revise maps from new source data

How you could use an agent

Use an agent to compare new source files and change requests against the current map edition, then draft the needed corrections in the map, chart, or layout file. It can track what changed, check for missing edits, and prepare a clean revision package for your final review.

Where you stay involved

You decide whether the revision changes the meaning of the map, and you approve any update that affects boundaries, jurisdictions, or other authoritative content. You also confirm the revised composition is complete before publication.

Review level: Medium

2

Apply map specifications and check proofs

How you could use an agent

Use an agent to turn your map requirements into a production brief with scale, projection, colors, and layout notes, then compare the proof against those requirements. It can point out legend, scale, or styling mismatches so you can send back only the items that need correction.

Where you stay involved

You choose the final map treatment, review the proof, and approve or reject the output before it goes out. You also decide whether any required standard needs a human exception.

Review level: Medium

3

Gather source files for map production

How you could use an agent

Use an agent to gather aerial photographs, survey notes, reports, and existing maps into one project folder or database, then check them against your source guidelines. It can flag missing items, conflicting source dates, or questionable files so you start map production with a cleaner data set.

Where you stay involved

You decide which sources are acceptable, set aside anything doubtful, and confirm the material is ready for use. You also handle any boundary-related record checks that need your judgment.

Review level: Medium

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 & frequency76
AI capability75
Digital actionability83
End-to-end leverage74
Safety & reversibility72
Meaningful-work coverage
52%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
14 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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