Not Very Resilient

Last Update: 7/31/2026

AI Resilience Score for Cartographers/Photogram.:

31.4%

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 five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. 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, seven of eight sources had data, with Adaptive Capacity missing. Sources mostly agreed on high AI exposure: AI Resilience Model, Will Robots Take My Job, and OpenAI Signals all rated it high, while Anthropic and Microsoft landed at medium. That broad lean toward automation, combined with low pay and mobility signals, pushed the score down to "Not Very Resilient" at medium-high confidence.

AI Resilience Report forCartographers and Photogrammetrists

$81,390 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 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

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 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.

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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.

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

$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

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.

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