Engineering & Architecture · SOC 17-1021
AI and satellite automation reshape data processing, but boundary validation, legal accuracy, and field judgment remain critical.
A large share of tasks is exposed; the role will change a lot.
Timeline: Automated image-processing AI will handle most routine map compilation within 3–5 years; human cartographers will shift toward validation, complex interpretation, and client-facing work.
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$117,750 median pay
$155,020 median pay
$101,140 median pay
$101,140 median pay
$117,750 median pay
$64,200 median pay
AI job-risk card
Cartographers and Photogrammetrists is at risk on AIFear. A large share of tasks is exposed; the role will change a lot.
AIFear.com
Our AI Fear Score for Cartographers and Photogrammetrists is 55/100 (At risk). A large share of tasks is exposed; the role will change a lot.
55 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Aerial photo delineation and feature extraction, Compiling data from survey records, Producing topographic maps from satellite imagery, Generating 3D terrain models from stereo data, Legal record search for boundary data. Harder to automate: Final accuracy inspection and sign-off, Field data collection in complex terrain, Interpreting ambiguous or conflicting boundaries.
Lean into Remote sensing and AI-assisted feature extraction, GIS platform expertise, Geospatial data quality assurance, Legal survey interpretation, Drone and LiDAR operations. Consider roles such as Geospatial data analyst or Remote sensing specialist or Land information systems manager.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.