Not Very Resilient

Last Update: 6/19/2026

AI Resilience Score for Cartographers/Photogram.:

33.4%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient cartography and photogrammetry work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For cartographers and photogrammetrists, six of seven sources had data, with Adaptive Capacity missing. Sources split on AI exposure: Will Robots Take My Job and our own model rated it high, while Anthropic and Microsoft rated it medium, landing confidence at medium-high. Weak pay and mobility signals pulled the economic score low, leaving this career "Not Very Resilient."

AI Resilience Report forCartographers and Photogrammetrists

$78,380 median salary1,000 annual openingsSOC Code: 17-1021.00

Cartographers and Photogrammetrists are less resilient to AI impacts than most occupations, according to our analysis of 6 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

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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.

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Will AI replace Cartographers/Photogram.?

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 meaningful, well-paying careers in this space.

The honest picture is that our 33.4% AI Resilience Score puts this role in exposed territory. AI already handles much of the heavy lifting: deep-learning algorithms now generate national land cover datasets, extract terrain features from imagery, and flag geometry errors that used to take hours to clean up manually (pubs.usgs.gov, onestopmap.com). When core technical tasks get automated, the human contribution shrinks, and that is a real challenge to take seriously.

What stays human is judgment: deciding what a map should communicate, catching errors that violate accuracy standards, and understanding the ethical stakes of how spatial data gets used [6]. The Bureau of Labor Statistics still projects 6 percent employment growth through 2034 [7], so the field is not collapsing, but the nature of the work is shifting fast.

The smartest path forward is to treat this as a career launchpad rather than a destination. Skills in GIS, Python, remote sensing, and machine learning travel well into urban planning, environmental science, autonomous systems, and data engineering. Learn to direct the AI tools, and you open doors well beyond traditional mapmaking.

Sources

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Latest AI news for Cartographers/Photogram.

These articles highlight exciting opportunities for Cartographers and Photogrammetrists in the evolving landscape of AI. For instance, Handshake is recruiting professionals for an AI research project, emphasizing the demand for expertise in geospatial science. Additionally, AuraOne offers remote positions to evaluate AI outputs, showcasing how technology is reshaping the field. As AI continues to automate processes, students can embrace these advancements to enhance their skills and adapt to new roles, ensuring a resilient future in cartography and photogrammetry.

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.

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Employment & Wage Data

Median Wage

$78,380

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

85% ResilienceSupplemental

Travel over photographed areas to observe, identify, record, and verify all relevant features.

2

70% ResilienceSupplemental

Study legal records to establish boundaries of local, national, and international properties.

3

62% ResilienceCore Task

Determine guidelines that specify which source material is acceptable for use.

4

60% ResilienceCore Task

Examine and analyze data from ground surveys, reports, aerial photographs, and satellite images to prepare topographic maps, aerial-photograph mosaics, and related charts.

5

55% ResilienceCore Task

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

48% ResilienceSupplemental

Select aerial photographic and remote sensing techniques and plotting equipment needed to meet required standards of accuracy.

7

38% ResilienceCore Task

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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