Gini Loh System Tools

AI Automation Index

Will AI Replace Surveying and Mapping Technicians?

Task-level automation exposure for Surveying and Mapping Technicians: 30 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

48% weighted task index

30 of 30 tasks scored

Median Salary

$54,240 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

58,010 people hold this job — size, not growth

Projected 2025–35

+5.8% employment change

6,900 openings a year · BLS line item

Pay by state

BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$32,370 – $78,110

Highest medians

California $78,110
Alaska $76,970
Minnesota $73,190
Washington $62,720
Maryland $61,600

Lowest medians

Puerto Rico $32,370
South Carolina $43,740
Kentucky $46,050
Arkansas $46,370
Alabama $46,450

State figures come from the 17-3031 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 48%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 37%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 3%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 14/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

30 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 49%

15 tasks

Medium exposure (≥ 35%) 13%

4 tasks

Low exposure (below 35%) 38%

11 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Emerging & rewritten tasks

Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.

  • New 05/2025 · AI/SME

    Use drone technology to capture aerial images or videos for creating detailed and accurate maps.

  • New 08/2026 · Incumbent

    Write boundary or easement legal descriptions.

Constituent Tasks

#22131 · Core · 18% automatable

Set out and recover stakes, marks, or other monumentation.

situated mobility — Field survey of land/water bodies

Survey land or bodies of water to measure or determine features.
#22130 · Core · 85% automatable

Search for section corners, property irons, or survey points.

data analysis — Computes coordinates from data deterministically

Determine geographic coordinates.
#22115 · Core · 75% automatable

Calculate latitudes, longitudes, angles, areas, or other information for mapmaking, using survey field notes or reference tables.

data analysis — Coordinate computation from survey data

Calculate geographic positions from survey data.
#22125 · Core · 68% automatable

Enter Global Positioning System (GPS) data, legal deeds, field notes, or land survey reports into geographic information system (GIS) workstations so that information can be transformed into graphic land descriptions, such as maps and drawings.

data analysis — Code entry is routine data input

Create graphical representations of structures or landscapes. Enter codes or other information into computers.
#22122 · Core · 20% automatable

Adjust and operate surveying instruments such as prisms, theodolites, electronic distance measuring equipment, or electronic data collectors.

situated mobility — Land surveying requires field instrument work

Survey land or properties.
#22104 · Core · 60% automatable

Check all layers of maps to ensure accuracy, identifying and marking errors and making corrections.

decision support — Design quality evaluation needs engineering judgment

Evaluate designs or specifications to ensure quality.
#22123 · Core · 18% automatable

Collect information needed to carry out new surveys, using source maps, previous survey data, photographs, computer records, or other relevant information.

physical manipulation — Physical field survey requires hands-on measurement in situ

Gather physical survey data.
#22129 · Core · 18% automatable

Record survey measurements or descriptive data, using notes, drawings, sketches, or inked tracings.

situated mobility — Field survey of land/water bodies

Survey land or bodies of water to measure or determine features.
#22124 · Core · 18% automatable

Conduct surveys to ascertain the locations of natural features and man-made structures on the Earth's surface, underground, and underwater, using electronic distance-measuring equipment, such as GPS, and other surveying instruments.

situated mobility — Field survey of land/water bodies

Survey land or bodies of water to measure or determine features.
#22128 · Core · 60% automatable

Prepare topographic or contour maps of land surveyed, including site features and other relevant information, such as charts, drawings, and survey notes.

visual inspection — Generates maps; cartographic accuracy and standards human

Create maps.
#22132 · Core · 30% automatable

Supervise or coordinate activities of workers engaged in surveying, plotting data, drafting maps, or producing blueprints, photostats, or photographs.

interpersonal — Supervising engineers needs accountability and motivation

Supervise engineering or other technical personnel.
#22109 · Core · 18% automatable

Compile information necessary to stake projects for construction, using engineering plans.

physical manipulation — Physical field survey requires hands-on measurement in situ

Gather physical survey data.
#22110 · Core · 18% automatable

Identify and compile database information to create requested maps.

physical manipulation — Physical field survey requires hands-on measurement in situ

Gather physical survey data.
#22106 · Core · 55% automatable

Monitor mapping work or the updating of maps to ensure accuracy, inclusion of new or changed information, or compliance with rules and regulations.

decision support — AI flags compliance deviations; human confirms in the world

Monitor processes for compliance with standards.
#22121 · Core · 82% automatable

Complete detailed source and method notes describing the location of routine or complex land parcels.

text generation — Draft technical design docs from provided details

Document technical design details.
#22103 · Core · 18% automatable

Position and hold the vertical rods, or targets, that theodolite operators use for sighting to measure angles, distances, and elevations.

situated mobility — Field survey of land/water bodies

Survey land or bodies of water to measure or determine features.
#22105 · Core · 72% automatable

Design or develop information databases that include geographic or topographic data.

text generation — Code generation strong; human architects and reviews

Develop software or computer applications.
#22114 · Core · 18% automatable

Research and combine existing property information to describe property boundaries in relation to adjacent properties, taking into account parcel splits, combinations, or land boundary adjustments.

physical manipulation — Physical field survey requires hands-on measurement in situ

Gather physical survey data.
#22126 · Core · 75% automatable

Perform calculations to determine earth curvature corrections, atmospheric impacts on measurements, traverse closures or adjustments, azimuths, level runs, or placement of markers.

data analysis — Coordinate computation from survey data

Calculate geographic positions from survey data.
#22112 · Core · 90% automatable

Compare survey computations with applicable standards to determine adequacy of data.

data analysis — Arithmetic verification is deterministic and reliable

Verify mathematical calculations.
#22118 · Core · 48% automatable

Provide assistance in the development of methods and procedures for conducting field surveys.

decision support — AI assists analysis; hands-on research human

Assist engineers or scientists with research.
#22120 · Core · 55% automatable

Answer questions and provide information to the public or to staff members regarding assessment maps, surveys, boundaries, easements, property ownership, roads, zoning, or similar matters.

text generation — Explanatory content drafted; public engagement human

Explain project details to the general public.
#22116 · Core · 75% automatable

Compare topographical features or contour lines with images from aerial photographs, old maps, or other reference materials to verify the accuracy of their identification.

data analysis — Coordinate computation from survey data

Calculate geographic positions from survey data.
#22111 · Core · 35% automatable

Operate and manage land-information computer systems, performing tasks such as storing data, making inquiries, and producing plots and reports.

physical manipulation — Operating systems requires hands-on interaction

Operate computer systems.
#22107 · Core · 60% automatable

Produce or update overlay maps to show information boundaries, water locations, or topographic features on various base maps or at different scales.

visual inspection — Generates maps; cartographic accuracy and standards human

Create maps.
#22117 · Core · 60% automatable

Trace contours or topographic details to generate maps that denote specific land or property locations or geographic attributes.

visual inspection — Generates maps; cartographic accuracy and standards human

Create maps.
#22113 · Core · 18% automatable

Analyze aerial photographs to detect and interpret significant military, industrial, resource, or topographical data.

physical manipulation — Physical field survey requires hands-on measurement in situ

Gather physical survey data.
#22108 · Core · 60% automatable

Determine scales, line sizes, or colors to be used for hard copies of computerized maps, using plotters.

visual inspection — Generates maps; cartographic accuracy and standards human

Create maps.
#22119 · Core · 60% automatable

Trim, align, and join prints to form photographic mosaics, maintaining scaled distances between reference points.

visual inspection — Generates maps from data; cartographic judgment human

Prepare maps.
#22127 · Supplemental · 65% automatable

Prepare cost estimates for mapping projects.

data analysis — Project cost estimation from given parameters

Estimate costs for projects or productions.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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