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Cartographers and Photogrammetrists

SOC: 17-1021.00 · Job Zone: 4

AI Impact Score: 51/100 — Partial Automation Likely
By Meo Advisors Editorial, Editorial Team
AI Score
51/100
Partial Automation Likely
Employment
13K
Median Wage
$78,380
per year
Timeline
5-10 years
to significant impact

Key Takeaways

  • AI Impact Score: 51/100Partial Automation Likely. Partial automation is likely for key tasks in this occupation.
  • 13K workers currently employed.
  • Mean annual wage: $78,380.
  • 6 of 14 key tasks can already be performed by AI tools today.

What Cartographers and Photogrammetrists Do

Research, study, and prepare maps and other spatial data in digital or graphic form for one or more purposes, such as legal, social, political, educational, and design purposes. May work with Geographic Information Systems (GIS). May design and evaluate algorithms, data structures, and user interfaces for GIS and mapping systems. May collect, analyze, and interpret geographic information provided by geodetic surveys, aerial photographs, and satellite data.

Also known as

Common HR-system job titles that map to this O*NET occupation (17-1021.00). Use these terms in resumes, postings, and org charts to match this AI-replaceability profile.

Aerial PhotogrammetristCadastral MapperCartographerCartographic DesignerCartographic DrafterCartography TechnicianData MapperDigital CartographerField Map EditorGeospatial Specialist

Have a job title that doesn't appear here? Upload your org chart to score your full headcount against AI replaceability.

AI Impact Analysis

Cartographers and Photogrammetrists represent a specialized workforce of 12,790 professionals earning a mean annual wage of $78,380, working in a field that sits at the intersection of traditional surveying and cutting-edge geospatial technology. This occupation has historically required deep technical expertise in GIS systems, aerial photography interpretation, and complex mathematical calculations for map creation and spatial analysis.

AI is rapidly automating core cartographic tasks that once required years of specialized training. Computer vision models like OpenCV and Google Earth Engine's AI capabilities are now automatically extracting features from aerial photographs and satellite imagery, replacing the manual stereoplotting work that cartographers traditionally performed. GPT-4 and Claude are processing survey notes and legal records to compile mapping data, while automated systems handle the revision of existing maps and charts by detecting changes in satellite imagery. Machine learning algorithms embedded in ESRI ArcGIS and other platforms are identifying geodetic points and scaling topographic features with mathematical precision that rivals human accuracy.

However, critical human judgment remains essential for several key functions. Legal boundary determination still requires human interpretation of complex property records and regulatory frameworks. Quality inspection and accuracy verification demand professional judgment that AI cannot replicate, particularly when maps serve legal or safety-critical purposes. Client consultation and project specification development rely on social perceptiveness and communication skills that remain uniquely human. The selection of appropriate techniques and equipment for specific mapping projects requires contextual understanding and professional experience.

Over the next 1-3 years, expect AI-assisted workflows to become standard, with professionals spending more time on oversight and complex problem-solving rather than routine data processing. Within 3-5 years, entry-level positions focused on basic data compilation and feature extraction will largely disappear, while senior roles emphasizing project management, quality assurance, and specialized applications will expand. The profession will increasingly require hybrid skills combining traditional cartographic knowledge with AI tool management.

Major GIS companies and government agencies are already implementing these changes. ESRI has integrated AI-powered feature extraction into ArcGIS Pro, while the USGS is using automated systems for updating topographic databases. Private surveying firms are adopting drone-based AI systems that can complete aerial surveys and generate preliminary maps with minimal human intervention, fundamentally reshaping traditional workflows and staffing requirements.

Task-by-Task AI Analysis

TaskAI Status
Compile data required for map preparation, including aerial photographs, survey notes, records, reports, and original maps.
AI can process and organize textual data, but human oversight needed for quality verification.
AI Assists
Now
Delineate aerial photographic detail, such as control points, hydrography, topography, and cultural features, using precision stereoplotting apparatus or drafting instruments.
Computer vision excels at feature detection and classification in aerial imagery.
AI Can Do This
Now
Prepare and alter trace maps, charts, tables, detailed drawings, and three-dimensional optical models of terrain using stereoscopic plotting and computer graphics equipment.
Automated 3D modeling and chart generation from geospatial data is now standard.
AI Can Do This
Now
Study legal records to establish boundaries of local, national, and international properties.
Legal interpretation requires professional judgment and liability considerations.
Human Essential
5+ years
Inspect final compositions to ensure completeness and accuracy.
Quality assurance requires professional judgment and legal responsibility.
Human Essential
5+ years
Revise existing maps and charts, making all necessary corrections and adjustments.
Change detection algorithms can automatically identify and update map features.
AI Can Do This
1-2 years
Identify, scale, and orient geodetic points, elevations, and other planimetric or topographic features, applying standard mathematical formulas.
Mathematical calculations and coordinate transformations are perfectly suited for automation.
AI Can Do This
Now
Collect information about specific features of the Earth, using aerial photography and other digital remote sensing techniques.
Automated satellite and drone data collection with AI-powered feature recognition.
AI Can Do This
Now
Examine and analyze data from ground surveys, reports, aerial photographs, and satellite images to prepare topographic maps, aerial-photograph mosaics, and related charts.
AI can process data but human expertise needed for complex analysis decisions.
AI Assists
1-2 years
Determine guidelines that specify which source material is acceptable for use.
Professional standards and quality criteria require human judgment.
Human Essential
3-5 years
Build and update digital databases.
Database operations are ideal for robotic process automation.
AI Can Do This
Now
Determine map content and layout, as well as production specifications such as scale, size, projection, and colors, and direct production to ensure that specifications are followed.
AI can suggest layouts but human creativity and client requirements drive decisions.
AI Assists
1-2 years
Select aerial photographic and remote sensing techniques and plotting equipment needed to meet required standards of accuracy.
Technical expertise and project-specific requirements need professional evaluation.
Human Essential
3-5 years
Travel over photographed areas to observe, identify, record, and verify all relevant features.
Drone-based automated surveys can reduce but not eliminate field verification needs.
AI Assists
1-2 years

AI Tools Disrupting Cartographers and Photogrammetrists

ESRI ArcGIS AIhigh impact
GIS Automation
Feature extraction, 3D modeling, and automated map generation
OpenCVhigh impact
Computer Vision
Aerial photo interpretation and control point identification
Google Earth Enginehigh impact
Satellite Analysis
Change detection and map updating from satellite imagery
GPT-4medium impact
AI Assistant
Data compilation and survey note processing
UiPathmedium impact
RPA
Database building and routine data entry tasks
DJI Terramedium impact
Drone Automation
Aerial data collection and preliminary mapping

Key Skills

Reading Comprehension
4.0 / 5
Writing
3.5 / 5
Critical Thinking
3.5 / 5
Active Listening
3.4 / 5
Active Learning
3.3 / 5
Speaking
3.1 / 5
Monitoring
3.1 / 5
Complex Problem Solving
3.1 / 5
Judgment and Decision Making
3.1 / 5
Social Perceptiveness
3.0 / 5
Coordination
3.0 / 5
Time Management
3.0 / 5

Key Tasks

  • Compile data required for map preparation, including aerial photographs, survey notes, records, reports, and original maps.
  • Delineate aerial photographic detail, such as control points, hydrography, topography, and cultural features, using precision stereoplotting apparatus or drafting instruments.
  • Prepare and alter trace maps, charts, tables, detailed drawings, and three-dimensional optical models of terrain using stereoscopic plotting and computer graphics equipment.
  • Study legal records to establish boundaries of local, national, and international properties.
  • Inspect final compositions to ensure completeness and accuracy.
  • Revise existing maps and charts, making all necessary corrections and adjustments.
  • Identify, scale, and orient geodetic points, elevations, and other planimetric or topographic features, applying standard mathematical formulas.
  • Collect information about specific features of the Earth, using aerial photography and other digital remote sensing techniques.
  • Examine and analyze data from ground surveys, reports, aerial photographs, and satellite images to prepare topographic maps, aerial-photograph mosaics, and related charts.
  • Determine guidelines that specify which source material is acceptable for use.
  • Build and update digital databases.
  • Determine map content and layout, as well as production specifications such as scale, size, projection, and colors, and direct production to ensure that specifications are followed.

Technology Skills Used

Hot + In Demand  Hot Technology  In Demand   ↗ = View AI replaceability analysis

Salary Range

N/A
N/A
Median: $78,380
10th percentile90th percentile

Career Transition Guidance

Cartographers and Photogrammetrists facing AI disruption have several viable transition paths leveraging their spatial analysis expertise. The closest transitions include Geographic Information Systems Technologists and Technicians, where GIS skills directly transfer, and Remote Sensing Scientists and Technologists, which builds on photogrammetric experience. These roles typically require 6-12 months of additional training in advanced analytics or specialized software.

For professionals seeking broader opportunities, Surveying and Mapping Technicians offer a natural progression that emphasizes field work and client interaction—areas where AI has limited impact. Those with strong analytical skills can transition to Geographers or Geological Technicians, requiring 1-2 years of additional education in earth sciences or statistical analysis. The key transferable skills include spatial reasoning, technical software proficiency, and data analysis capabilities.

The most strategic approach involves becoming an AI-augmented specialist rather than changing careers entirely. This requires developing skills in AI tool management, quality assurance of automated outputs, and client consultation. Professionals who can bridge traditional cartographic knowledge with modern AI capabilities will command premium salaries and job security in an evolving market.

Related Occupations

Surveying and Mapping Technicians
17-3031.00
Geodetic Surveyors
17-1022.01
Geographic Information Systems Technologists and Technicians
15-1299.02
Remote Sensing Technicians
19-4099.03
Surveyors
17-1022.00
Geographers
19-3092.00
Remote Sensing Scientists and Technologists
19-2099.01
Geological Technicians, Except Hydrologic Technicians
19-4043.00
Architectural and Civil Drafters
17-3011.00
Data Scientists
15-2051.00
Hydrologic Technicians
19-4044.00
Electrical and Electronics Drafters
17-3012.00

Frequently Asked Questions

Will AI replace Cartographers and Photogrammetrists?

AI will not completely replace this profession but will significantly transform it. With a moderate AI impact score of 51/100, approximately half of current tasks will be automated over the next 5-10 years, while the remaining 12,790 professionals will focus on higher-level analysis, quality assurance, and client consultation.

What AI tools are used in Cartographers and Photogrammetrists roles?

Current tools include ESRI ArcGIS with integrated AI features, OpenCV for image processing, Google Earth Engine for satellite analysis, and GPT-4 for data compilation. Traditional software like Adobe Creative Cloud and AutoCAD are increasingly incorporating AI-powered automation features.

What is the salary outlook for Cartographers and Photogrammetrists with AI?

The current mean annual wage of $78,380 is likely to increase for professionals who adapt to AI-augmented workflows, as they will handle more complex, high-value tasks. However, entry-level positions focused on routine data processing may see reduced demand and compensation.

What skills should Cartographers and Photogrammetrists develop for the AI era?

Focus on skills AI cannot replicate: critical thinking, complex problem solving, client communication, and legal compliance knowledge. The most important skills like reading comprehension (4/5) and writing (3.5/5) remain human-essential for interpreting requirements and communicating results.

How many Cartographers and Photogrammetrists jobs are there in the US?

Currently 12,790 professionals work in this field. While specific growth projections aren't available, the role is evolving rather than disappearing, with demand shifting toward AI-augmented specialists who can manage automated workflows and handle complex analytical tasks.