AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Surveying and Mapping Technicians

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 survey calculations and corrections

    Use an agent to take field notes, reference tables, and survey calculations, then check closures, azimuths, corrections, and other values for obvious mismatches.

  2. 2

    Import field data into GIS

    Use an agent to gather source maps, field notes, GPS logs, deeds, and prior survey records, then load the information into GIS and flag missing or conflicting attributes.

  3. 3

    Audit map layers and flag errors

    Use an agent to compare map layers, topographic features, and reference imagery, then mark likely errors and draft a correction list for the map file.

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O*NET-SOC 17-3031.00 · #174 of 923

Result context

How to read this result

Perform surveying and mapping duties, usually under the direction of an engineer, surveyor, cartographer, or photogrammetrist, to obtain data used for construction, mapmaking, boundary location, mining, or other purposes. May calculate mapmaking information and create maps from source data, such as surveying notes, aerial photography, satellite data, or other maps to show topographical features, political boundaries, and other features. May verify accuracy and completeness of maps.

National position
#174 of 923 occupations
Top 19% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 79/100
Meaningful work covered
62%

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 survey calculations and corrections

How you could use an agent

Use an agent to take field notes, reference tables, and survey calculations, then check closures, azimuths, corrections, and other values for obvious mismatches. It can draft a correction memo and organize the numbers so you have a cleaner set of computations to review before anything moves downstream.

Where you stay involved

You decide whether the numbers are good enough, compare them with the project standards, and send unresolved problems to the licensed surveyor or engineer.

Review level: High

2

Import field data into GIS

How you could use an agent

Use an agent to gather source maps, field notes, GPS logs, deeds, and prior survey records, then load the information into GIS and flag missing or conflicting attributes. It can also prepare a short list of items that need a human check before the data is used for maps or drawings.

Where you stay involved

You review the imported records, decide what needs correction, and pass boundary or data conflicts to the licensed surveyor for resolution.

Review level: Medium

3

Audit map layers and flag errors

How you could use an agent

Use an agent to compare map layers, topographic features, and reference imagery, then mark likely errors and draft a correction list for the map file. It can help you track what changed from one version to the next so you can review the updated sheet more quickly.

Where you stay involved

You decide whether each marked issue is real, make or approve the correction, and send anything tied to legal boundaries or unclear features to the right professional.

Review level: Medium

Documentation and coordination support

AI can assist without owning the physical outcome

These support steps are shown separately. They do not count as agentic workflows and do not increase this occupation's score.

Draft responses to map questions and log follow-up

Use an agent to retrieve maps, plots, and reports from land-information systems, then draft plain-language replies to routine questions about surveys, easements, zoning, or ownership based on the records you already have. It can also keep a follow-up log for questions that need another person to answer later.

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 & frequency74
AI capability81
Digital actionability87
End-to-end leverage82
Safety & reversibility69
Meaningful-work coverage
62%
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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