Share and intensity of work current AI systems can materially affect.
SOC 17-3031
Surveying and Mapping Technicians AI displacement risk
Surveying and mapping technicians hold the rods, run the total stations, and turn field measurements into map layers. GNSS receivers, drones, and automated plotters compress both collection and drafting, leaving instrument setup, error checking, and boundary research as the durable core.
Likely potential for exposed tasks to move to software after workflow integration.
Drone photogrammetry and robotic total stations reduce crew sizes on routine jobs. Construction staking, contested boundary research, and adequacy checks against legal standards still require a technician who understands where measurements go wrong.
Distribution
Where Surveying and Mapping Technicians sits across 620 tracked roles
Displacement pressure 42 — higher than 70% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
30 O*NET task statements matched to SOC 17-3031. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $54,240 (May 2025, US national). The latest BLS row matched SOC 17-3031.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Surveying and Mapping Technicians
SOC 17-3031 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 42/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Surveying and Mapping Technicians
The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks30
SOC17-3031
- Core task / ID 22131
Set out and recover stakes, marks, or other monumentation.
- Core task / ID 22130
Search for section corners, property irons, or survey points.
- Core task / ID 22115
Calculate latitudes, longitudes, angles, areas, or other information for mapmaking, using survey field notes or reference tables.
- Core task / ID 22125
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.
- Core task / ID 22122
Adjust and operate surveying instruments such as prisms, theodolites, electronic distance measuring equipment, or electronic data collectors.
- Core task / ID 22104
Check all layers of maps to ensure accuracy, identifying and marking errors and making corrections.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Position rods and targets for sighting
Exposure 34, automation 18%, augmentation 30%.
O*NET evidence: Position and hold the vertical rods, or targets, that theodolite operators use for sigh... (ID 22103)
Check map layers and mark errors
Exposure 60, automation 34%, augmentation 60%.
O*NET evidence: Check all layers of maps to ensure accuracy, identifying and marking errors and making ... (ID 22104)
Produce and update overlay maps
Exposure 66, automation 42%, augmentation 60%.
O*NET evidence: Produce or update overlay maps to show information boundaries, water locations, or topo... (ID 22107)
Compile information to stake construction projects
Exposure 48, automation 24%, augmentation 56%.
O*NET evidence: Compile information necessary to stake projects for construction, using engineering plans. (ID 22109)
TaskExposureAutomationAugmentation
Position rods and targets for sighting3418%30%
Check map layers and mark errors6034%60%
Produce and update overlay maps6642%60%
Compile information to stake construction projects4824%56%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
ModerateLicensed Land Surveyor
Training horizon: 24-48 months. Skill overlap 62. Wage preservation signal 148.
- Accumulate supervised field hours
- Study for the FS and PS exams
- Own boundary research files
role redesign
ModerateGIS Technician
Training horizon: 3-6 months. Skill overlap 70. Wage preservation signal 110.
- Move field data into geodatabases
- Automate routine map production
- Serve engineering clients
Comparison guides
Compare the next move before you commit
24-48 months
Surveying and Mapping Technicians to Licensed Land Surveyor
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Surveying and Mapping Technicians into Licensed Land Surveyor.
3-6 months
Surveying and Mapping Technicians to GIS Technician
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Surveying and Mapping Technicians into GIS Technician.
What the AI risk score means for Surveying and Mapping Technicians
The displacement pressure score for Surveying and Mapping Technicians is 42. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Produce and update overlay maps carries 42% automation pressure, while Check map layers and mark errors carries 60% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $54,240 (May 2025, US national). Employment context: Field-to-map production role squeezed at both ends. Typical education: High school plus on-the-job training; associate degree common.
Wage vulnerability is 52, while transition feasibility is 64. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate displacement pressure
- Drones shrink field crews
- Boundary disputes need human judgment
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Surveying and Mapping Technicians, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Survey equipment operation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
CAD drafting
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Quality checks
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Field data collection
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Licensed Land Surveyor, such as accumulate supervised field hours.
- By 90 days, compare internal openings and external postings for Licensed Land Surveyor or GIS Technician and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Surveying and Mapping Technicians
Will AI replace Surveying and Mapping Technicians?
Surveying and mapping technicians hold the rods, run the total stations, and turn field measurements into map layers. GNSS receivers, drones, and automated plotters compress both collection and drafting, leaving instrument setup, error checking, and boundary research as the durable core. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Surveying and Mapping Technicians work are most exposed to AI?
Produce and update overlay maps and Check map layers and mark errors show the strongest automation pressure in this model. Check map layers and mark errors and Produce and update overlay maps are better treated as AI-augmented work.
What should Surveying and Mapping Technicians learn next?
Start with Survey equipment operation, CAD drafting, Quality checks. The most practical adjacent paths in this model are Licensed Land Surveyor and GIS Technician.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketMcKinsey Global Institute / 26 July 2023Generative AI and the Future of Work in AmericaO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics