Share and intensity of work current AI systems can materially affect.
SOC 17-1022
Surveyors AI displacement risk
Drones and photogrammetry capture site data in a fraction of the traditional time, transforming fieldwork economics. Legal boundary determination, certified survey liability, and expert testimony keep licensed surveyors necessary.
Likely potential for exposed tasks to move to software after workflow integration.
Data capture automated; legal determination did not. A surveyor's signature on a boundary has legal consequences, and resolving conflicting deeds and monuments is judgment work no drone performs.
Distribution
Where Surveyors sits across 620 tracked roles
Displacement pressure 26 — higher than 37% 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 17-1022. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $75,440 (May 2025, US national). The latest BLS row matched SOC 17-1022.
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 Surveyors
SOC 17-1022 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 26/100 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 Surveyors
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
SOC17-1022
- Core task / ID 3530
Direct or conduct surveys to establish legal boundaries for properties, based on legal deeds and titles.
- Core task / ID 3528
Prepare and maintain sketches, maps, reports, and legal descriptions of surveys to describe, certify, and assume liability for work performed.
- Core task / ID 3534
Write descriptions of property boundary surveys for use in deeds, leases, or other legal documents.
- Core task / ID 3529
Verify the accuracy of survey data, including measurements and calculations conducted at survey sites.
- Core task / ID 3536
Search legal records, survey records, and land titles to obtain information about property boundaries in areas to be surveyed.
- Core task / ID 3531
Record the results of surveys, including the shape, contour, location, elevation, and dimensions of land or land features.
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
Conduct field surveys and measurements
Exposure 34, automation 18%, augmentation 56%.
O*NET evidence: Verify the accuracy of survey data, including measurements and calculations conducted a... (ID 3529)
Prepare maps and legal descriptions
Exposure 56, automation 30%, augmentation 66%.
O*NET evidence: Prepare and maintain sketches, maps, reports, and legal descriptions of surveys to desc... (ID 3528)
Verify survey data accuracy
Exposure 44, automation 22%, augmentation 62%.
O*NET evidence: Verify the accuracy of survey data, including measurements and calculations conducted a... (ID 3529)
Research records and testify on boundaries
Exposure 30, automation 11%, augmentation 54%.
O*NET evidence: Testify as an expert witness in court cases on land survey issues, such as property bou... (ID 20954)
TaskExposureAutomationAugmentation
Conduct field surveys and measurements3418%56%
Prepare maps and legal descriptions5630%66%
Verify survey data accuracy4422%62%
Research records and testify on boundaries3011%54%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowGeospatial Analyst
Training horizon: 3-8 months. Skill overlap 66. Wage preservation signal 104.
- Master GIS platforms
- Process drone imagery
- Build spatial analysis workflows
adjacent role
LowSurveying Party Chief
Training horizon: 2-5 months. Skill overlap 78. Wage preservation signal 110.
- Lead field crews
- Own project quality control
- Manage equipment and schedules
Comparison guides
Compare the next move before you commit
3-8 months
Surveyors to Geospatial Analyst
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Surveyors into Geospatial Analyst.
2-5 months
Surveyors to Surveying Party Chief
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Surveyors into Surveying Party Chief.
What the AI risk score means for Surveyors
The displacement pressure score for Surveyors is 26. 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. Prepare maps and legal descriptions carries 30% automation pressure, while Prepare maps and legal descriptions carries 66% 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: $75,440 (May 2025, US national). Employment context: Licensed measurement profession with drone-era tooling. Typical education: Bachelor's degree plus state licensure.
Wage vulnerability is 40, 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.
- Low displacement pressure
- Drones compress data capture time
- Licensed boundary authority persists
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Surveyors, 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.
Precision field measurement
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.
Legal boundary analysis
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.
Drone data processing
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.
Certification accountability
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 Geospatial Analyst, such as master gis platforms.
- By 90 days, compare internal openings and external postings for Geospatial Analyst or Surveying Party Chief and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Surveyors
Will AI replace Surveyors?
Drones and photogrammetry capture site data in a fraction of the traditional time, transforming fieldwork economics. Legal boundary determination, certified survey liability, and expert testimony keep licensed surveyors necessary. 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 Surveyors work are most exposed to AI?
Prepare maps and legal descriptions and Verify survey data accuracy show the strongest automation pressure in this model. Prepare maps and legal descriptions and Verify survey data accuracy are better treated as AI-augmented work.
What should Surveyors learn next?
Start with Precision field measurement, Legal boundary analysis, Drone data processing. The most practical adjacent paths in this model are Geospatial Analyst and Surveying Party Chief.
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
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*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