Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for GIS Tech:
52.7%
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%).
High
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%).
High
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 forGeographic Information Systems Technologists and Technicians
$116,580 median salary•27,000 annual openings•SOC Code: 15-1299.02
Geographic Information Systems Technologists and Technicians are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
GIS careers are holding up well because AI is acting more like a powerful assistant than a replacement, automating the repetitive parts of the job (like digitizing maps and extracting features from images) while still depending on skilled humans to check data quality, talk with clients, and make judgment calls that keep projects on track. The tools are changing fast, with AI now built directly into platforms like ArcGIS, so some routine tasks are definitely shifting, which is why this career lands at "Mostly Resilient" rather than fully protected.
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More career infoAnalysisChatNewsMoreThis role is mostly resilient
GIS careers are holding up well because AI is acting more like a powerful assistant than a replacement, automating the repetitive parts of the job (like digitizing maps and extracting features from images) while still depending on skilled humans to check data quality, talk with clients, and make judgment calls that keep projects on track. The tools are changing fast, with AI now built directly into platforms like ArcGIS, so some routine tasks are definitely shifting, which is why this career lands at "Mostly Resilient" rather than fully protected.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
GIS Tech
Updated Quarterly
How is AI changing GIS Tech jobs?
Right now, AI in GIS looks a lot more like a power tool than a replacement worker. ArcGIS offers more than 100 pretrained AI models to help organizations automate solutions to real-world geospatial challenges, and Esri is now bringing in foundation models [1] — trained on massive datasets — that can handle object detection, feature extraction, pixel classification, prediction, and change analysis. That directly targets the highest-automation tasks in your list, like entering map data, digitizing imagery, and interpreting aerial photos [1].
At the 2026 Esri User Conference [2], Esri confirmed that AI assistants, foundation models, and agentic AI are now built directly into ArcGIS at no additional cost, letting users run analysis, build charts, fix code, write metadata, and query data using plain English. But leaders were also clear that "AI needs GIS" — AI tools depend on authoritative geospatial data that GIS professionals build and maintain, and without it, AI agents make bad decisions. So the pattern is augmentation: humans still confer with clients, judge data quality, and steer the models.
Sources
How fast is AI adoption growing for GIS Tech?
Adoption is moving fast because the tools are already commercial, cheap, and bundled. Utilities are a good example — a July 2026 Deloitte report [3] found utilities are shifting from pilot projects to full deployment of AI and geospatial tools to improve outage management and infrastructure maintenance, though data silos and legacy systems still slow enterprise-wide rollout. Employers are rewriting job descriptions to match: an O*NET analysis of 2025 postings [2] for GIS technologists and technicians showed ArcGIS in 75 percent of listings, but Python in 34 percent and SQL in 22 percent — the boundary between GIS production, data engineering, and software development has become porous.
The good news for young people: the U.S. Bureau of Labor Statistics projects total employment [4] to grow from 170.0 million in 2024 to 175.2 million in 2034, with most gains in the professional, scientific, and technical services sector, which includes geospatial work. And the human side of the job — talking to clients, troubleshooting, and continuous learning — is exactly where automation scores lowest, so AI is not replacing GIS professionals; it is making them harder to replace if you add GeoAI skills to solid mapping fundamentals.
Sources
Will AI replace GIS Tech?
No. We don't think AI will replace Geographic Information Systems Technologists and Technicians, though we do expect the job to change.
AI is already doing real work in this field. Esri has built foundation models directly into ArcGIS that handle object detection, feature extraction, and change analysis, and AI assistants now let users run analysis and query data in plain English at no extra cost [1]. The repetitive production tasks, like digitizing imagery or entering map data, are the first to shift. That part is already happening.
But here is the thing: AI needs GIS as much as GIS needs AI. Authoritative geospatial data has to be built, maintained, and validated by people who understand the terrain, literally and professionally [1]. Client conversations, quality judgment, and troubleshooting are exactly where automation scores lowest. That human layer is hard to cut. Our 52.7% AI Resilience Score reflects this mix: some tasks are exposed, but employer demand and earning potential both look solid through 2034 [4].
The practical move is to treat AI as a power tool, not a threat. Employers are already writing job postings that expect Python and SQL alongside mapping fundamentals [2]. Add those skills to your GIS foundation and you become the person who runs the AI, not the person it runs past.
Sources
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Latest AI news for GIS Tech
These articles highlight the transformative role of AI in Geographic Information Systems (GIS) careers. For instance, the Esri demo shows how generative AI streamlines complex GIS tasks, enhancing productivity. Additionally, the launch of an AI Level I Certificate signals the growing importance of AI knowledge for GIS professionals. Embracing these advancements can help students build resilience in their careers, ensuring they remain relevant and competitive as AI continues to shape the industry.
Will AI replace human land surveyors?
www.ferris.edu • 4/23/2026
You may have noticed someone standing near a roadway with a tripod-mounted instrument and asked yourself what they're up to.
Potential occupational exposure to artificial intelligence and automation among certified journeypersons in Canada
www150.statcan.gc.ca • 1/28/2026
Artificial intelligence (AI) and automation hold the potential to transform the nature of work, raising concerns about how different...
Mapping ‘what ifs’ with simulations powered by AI and geospatial tech
www.ft.com • 8/30/2024
In today's data-driven world, executives across industries strive to make decisions using the best available information. However, there are times when...
NextTech: Generative AI Enhances GIS across the Enterprise
www.esri.com • 4/16/2024
A video demo shows how GenAI is bringing new speed and simplicity to enterprise technologies like GIS.
New Artificial Intelligence Level I Certificate Launching in Fall 2021 as Part of Geographical Information Systems Degree Program
vikingnews.delmar.edu • 4/13/2021
The idea of AI started back in the 1930s. In the 1950s, the field of AI research became an academic discipline, and now its continued...
More Career Info
Career: Geographic Information Systems Technologists and Technicians
They create and manage digital maps and data to help solve problems like planning roads or tracking wildlife.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$116,580
Jobs (2025)
471,200
Growth (2025-35)
+5.1%
Annual Openings
27,000
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Meet with clients to discuss topics such as technical specifications, customized solutions, or operational problems.
2
Read current literature, talk with colleagues, continue education, or participate in professional organizations or conferences to keep abreast of developments in Geographic Information Systems (GIS) t...
3
Assist users in formulating Geographic Information Systems (GIS) requirements or understanding the implications of alternatives.
4
Confer with users to analyze, configure, or troubleshoot applications.
5
Provide technical expertise in Geographic Information Systems (GIS) technology to clients or users.
6
Make recommendations regarding upgrades, considering implications of new or revised Geographic Information Systems (GIS) software, equipment, or applications.
7
Recommend procedures, equipment, or software upgrades to increase data accessibility or ease of use.
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.
