Not Very Resilient
Last Update: 7/31/2026
AI Resilience Score for Cartographers/Photogram.:
31.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forCartographers and Photogrammetrists
$81,390 median salary•1,000 annual openings•SOC Code: 17-1021.00
Cartographers and Photogrammetrists are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Cartography and photogrammetry earn a "Not Very Resilient" label because so many of the core, time-consuming tasks that used to define this work (processing imagery, extracting terrain features, cleaning up map geometry, and placing labels) are now being handled faster and more efficiently by AI tools. Platforms like Esri ArcGIS GeoAI and deep-learning algorithms have taken over much of the repetitive, technical side of mapmaking, which means the job is changing faster than most careers.
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This role is not very resilient
Cartography and photogrammetry earn a "Not Very Resilient" label because so many of the core, time-consuming tasks that used to define this work (processing imagery, extracting terrain features, cleaning up map geometry, and placing labels) are now being handled faster and more efficiently by AI tools. Platforms like Esri ArcGIS GeoAI and deep-learning algorithms have taken over much of the repetitive, technical side of mapmaking, which means the job is changing faster than most careers.
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Analysis of Current AI Resilience
Cartographers/Photogram.
Updated Quarterly

How is AI changing Cartographers/Photogram. jobs?
AI is already deeply woven into cartography and photogrammetry, but right now it's mostly augmenting mapmakers rather than replacing them. The U.S. Geological Survey, for example, recently published a strategy explaining that AI is enabling efficiency gains, such as in the extraction of information from old geological maps, and the agency now uses AI to process large volumes of imagery and sensor data to extract terrain features from topographic data, characterize coastal landforms, and predict mineral deposits. The USGS even notes that annual National Land Cover Database products are now created using deep-learning algorithms [1].
On the design side, One Stop Map's 2026 overview [2] explains that AI tools now detect geometry artifacts, suggest simplification levels, generate color palettes from prompts, and place labels automatically — turning what used to be hours of manual cleanup into minutes. In the autonomous-vehicle world, GPS World reports that AI-fueled maps ingest billions of data points from vehicles, sensors, and satellite imagery [3] to continuously update themselves. Google has also pushed Gemini-powered features like Ask Maps and Immersive Navigation [4] directly into consumer mapping.
Sources

How fast is AI adoption growing for Cartographers/Photogram.?
Adoption is moving quickly because commercial tools (Esri ArcGIS GeoAI, Pix4D, Agisoft Metashape) are widely available and federal directives are pushing agencies to accelerate responsible AI adoption [1]. The American Surveyor reports that Geo Week 2026 dedicated 50+ sessions to AI, automation, and machine learning [5] — a strong signal that the profession is embracing change. But adoption also has speed limits: photogrammetry must meet ASPRS positional-accuracy standards updated for digital sensors like lidar and digital cameras [6], and human judgment is still required for ethics, context, and storytelling.
Encouragingly, the Bureau of Labor Statistics still projects employment of cartographers and photogrammetrists to grow 6 percent from 2024 to 2034, faster than the average for all occupations [7]. So if you love maps, the smartest move is to learn GIS, Python, and machine learning alongside cartographic design — you'll be directing the AI, not competing with it.
Sources

Will AI replace Cartographers/Photogram.?
In part. We think AI will eventually automate a real share of this work, but cartographers and photogrammetrists who adapt can still build strong careers in and around this field.
Our 31.4% AI Resilience Score signals real exposure, and the evidence backs that up. AI tools already extract terrain features from satellite imagery, generate map labels automatically, and power continuously self-updating navigation maps fed by billions of data points [3]. Deep-learning algorithms now produce entire national land-cover datasets with minimal human input [1]. The repetitive, processing-heavy parts of this job are moving toward automation fast.
What stays human is judgment: knowing when a map misleads, understanding the story data needs to tell, and meeting strict positional-accuracy standards that require professional oversight [6]. Those are harder to automate than pixel classification.
The smarter framing here is career journey, not just job survival. The profession is actively evolving, with Geo Week 2026 dedicating more than 50 sessions to AI and machine learning [5]. Skills in GIS, Python, and spatial analysis transfer well into urban planning, climate science, autonomous systems, and data engineering. If you love maps, learn to direct the AI rather than compete with it, and you open more doors than this single job title can hold.
Sources

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Latest AI news for Cartographers/Photogram.
These AI-related articles provide valuable insights for aspiring cartographers and photogrammetrists. For instance, advancements in generative AI are streamlining data cleaning and feature extraction, which can enhance productivity. However, there's a notable risk of automation displacing certain tasks, with a 74/100 displacement risk highlighted in the "AI Automation Risk & Career Resilience Guide." Yet, as other articles suggest, AI won't fully replace these roles; instead, it will transform them, emphasizing the need for skills that complement AI technologies, ensuring career resilience in this evolving landscape.
Envisioning generative artificial intelligence in cartography
sites.utexas.edu • 7/20/2026
by Y Kang · 2026 · Cited by 2 — Recent advancements in geo-foundation models and specialized AI agents have enabled the automation of data cleaning and feature extraction, ... Read more
Will AI replace cartographers?
www.careerexplorer.com • 7/20/2026
6 days ago — AI won't replace cartographers, but it's already replacing much of the manual digitizing and data processing they once did. Automated tools now ... Read more
Cartographers: AI Automation Risk & Career Resilience Guide
www.aijobchecker.com • 7/20/2026
Cartographers face 74/100 AI displacement risk. Discover which tasks automate fastest, timeline projections, and career-resilient skills to develop now.
Will AI Replace Cartographers and Photogrammetrists?
www.replacedbai.com • 7/20/2026
Cartographers and Photogrammetrists have a medium AI replacement risk (42/100). See what AI can automate, what still needs humans, and how to future-proof ...
The GeoAI Revolution: Charting the 2030 ...
projectgeospatial.org • 7/20/2026
Jun 2, 2025 — Their job outlook was a 3% growth over the 2023-2033 decade, with approximately 1,600 jobs in 2023. Essential skills for geographers have ... Read more
More Career Info
Career: Cartographers and Photogrammetrists
They create and update maps by collecting and analyzing data from photos, surveys, and satellites to help people understand and navigate the world.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$81,390
Jobs (2024)
13,400
Growth (2024-34)
+6.4%
Annual Openings
1,000
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Travel over photographed areas to observe, identify, record, and verify all relevant features.
2
Study legal records to establish boundaries of local, national, and international properties.
3
Determine guidelines that specify which source material is acceptable for use.
4
Examine and analyze data from ground surveys, reports, aerial photographs, and satellite images to prepare topographic maps, aerial-photograph mosaics, and related charts.
5
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.
6
Select aerial photographic and remote sensing techniques and plotting equipment needed to meet required standards of accuracy.
7
Build and update digital databases.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
