How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Check all layers of maps to ensure accuracy, identifying and marking errors and making corrections.80
- Produce or update overlay maps to show information boundaries, water locations, or topographic features on various base maps or at different scales.80
- Trace contours or topographic details to generate maps that denote specific land or property locations or geographic attributes.80
- Compare survey computations with applicable standards to determine adequacy of data.79
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Monitor mapping work or the updating of maps to ensure accuracy, inclusion of new or changed information, or compliance with rules and regulations.01
- 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.02
- Analyze aerial photographs to detect and interpret significant military, industrial, resource, or topographical data.03
- Operate and manage land-information computer systems, performing tasks such as storing data, making inquiries, and producing plots and reports.04
- Determine scales, line sizes, or colors to be used for hard copies of computerized maps, using plotters.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Cartographers and Photogrammetrists
Closely related work
Compare these careers →Geodetic Surveyors
Closely related work
Compare these careers →Geographic Information Systems Technologists and Technicians
Closely related work
Compare these careers →Surveyors
Closely related work
Compare these careers →Architectural and Civil Drafters
Related work
Compare these careers →Civil Engineering Technologists and Technicians
Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
