Will AI replace Surveying and Mapping Technicians?
In theory, AI could do about 50% of the work in Surveying and Mapping Technicians. In practice, as of late 2025, almost no one is actually using it that way — yet.
O*NET-SOC 17-3031
How your 17 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~50%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~50%), but real-world use is only ~0%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 17 tasks, ratedBased on real task-level AI scores — click to collapse
- Calculate latitudes, longitudes, angles, areas, or other information for mapmaking, using survey field notes or reference tables.
- Check all layers of maps to ensure accuracy, identifying and marking errors and making corrections.
- Design or develop information databases that include geographic or topographic data.
- Monitor mapping work or the updating of maps to ensure accuracy, inclusion of new or changed information, or compliance with rules and regulations.
- Produce or update overlay maps to show information boundaries, water locations, or topographic features on various base maps or at different scales.
- Determine scales, line sizes, or colors to be used for hard copies of computerized maps, using plotters.
- Compile information necessary to stake projects for construction, using engineering plans.
- Identify and compile database information to create requested maps.
- Operate and manage land-information computer systems, performing tasks such as storing data, making inquiries, and producing plots and reports.
- Compare survey computations with applicable standards to determine adequacy of data.
- Analyze aerial photographs to detect and interpret significant military, industrial, resource, or topographical data.
- 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.
- Compare topographical features or contour lines with images from aerial photographs, old maps, or other reference materials to verify the accuracy of their identification.
- Trace contours or topographic details to generate maps that denote specific land or property locations or geographic attributes.
- Provide assistance in the development of methods and procedures for conducting field surveys.
- Trim, align, and join prints to form photographic mosaics, maintaining scaled distances between reference points.
- Position and hold the vertical rods, or targets, that theodolite operators use for sighting to measure angles, distances, and elevations.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.