AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Geodetic Surveyors

Limited

AI agents could help with a focused set of planning and documentation tasks, while hands-on work and judgment remain human-led.

Where agents can help most

  1. 1

    Verify GNSS control point coordinates

    Use an agent to organize GNSS observations, calculation sheets, and project specs, then compute and summarize horizontal and vertical coordinates for your control points.

  2. 2

    Audit survey control for project use

    Use an agent to pull together control data, prior surveys, and project standards, then prepare a short audit memo on whether the control network looks usable for the job.

  3. 3

    Compute and adjust control network coordinates

    Use an agent to assemble leveling, triangulation, trilateration, or traversing results, then compute control network coordinates and compare them with earlier surveys.

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O*NET-SOC 17-1022.01 · #434 of 923

Result context

How to read this result

Measure large areas of the Earth's surface using satellite observations, global navigation satellite systems (GNSS), light detection and ranging (LIDAR), or related sources.

National position
#434 of 923 occupations
Top 48% of occupations
Overall AI delegation potential
Limited
Potential of score-contributing workflows
Moderate · 68/100
Meaningful work covered
58%

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

Verify GNSS control point coordinates

How you could use an agent

Use an agent to organize GNSS observations, calculation sheets, and project specs, then compute and summarize horizontal and vertical coordinates for your control points. It can flag stations that miss tolerance, compare residuals to your check shots, and prepare a clean position set for your survey records.

Where you stay involved

You review the calculations, check the flagged stations, and decide whether the coordinates are good enough for survey use. You also make the call on any point that needs another field observation or a closer look from a licensed survey lead.

Review level: High

2

Audit survey control for project use

How you could use an agent

Use an agent to pull together control data, prior surveys, and project standards, then prepare a short audit memo on whether the control network looks usable for the job. It can trace discrepancies back to source measurements and point out where more survey work may be needed before design or field use.

Where you stay involved

You review the memo, confirm the data really supports the project, and decide whether the control is ready or needs more work. You also make the final judgment when the records suggest unstable control or a datum problem.

Review level: High

3

Compute and adjust control network coordinates

How you could use an agent

Use an agent to assemble leveling, triangulation, trilateration, or traversing results, then compute control network coordinates and compare them with earlier surveys. It can check closure, note residual patterns, and prepare a continuity report so you can see whether the updated grid lines up with adjacent control and known elevations.

Where you stay involved

You review the computed solution, decide whether the adjustments are acceptable, and approve any changes that affect official survey records. You also decide when a boundary or control tie is sensitive enough to require a licensed surveyor’s sign-off.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Limited

Underlying methodology score

62 / 100

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

Importance & frequency78
AI capability76
Digital actionability62
End-to-end leverage55
Safety & reversibility69
Meaningful-work coverage
58%
Physical-work modifier
Moderate
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
16 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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