BETA
Updated: Mar 2
BETA
Updated: Mar 2
Evolving
Last Update: 2/17/2026
Your role’s AI Resilience Score is
44.5%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
Geographic Information Systems Technologists and Technicians
They create and manage digital maps and data to help solve problems like planning roads or tracking wildlife.
This role is evolving
Geographic Information Systems (GIS) Technologists and Technicians are labeled as "Evolving" because AI tools are starting to automate routine tasks like data cleaning and basic map drawing, which were traditionally done by humans. While these tools can save time on repetitive work, complex tasks still require human judgment and creativity.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
Geographic Information Systems (GIS) Technologists and Technicians are labeled as "Evolving" because AI tools are starting to automate routine tasks like data cleaning and basic map drawing, which were traditionally done by humans. While these tools can save time on repetitive work, complex tasks still require human judgment and creativity.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Changing fast21.3%
21.3%
Anthropic's Economic Index
AI Resilience
Changing fast22.4%
22.4%
Will Robots Take My Job
Automation Resilience
Evolving43.2%
43.2%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
8.2%
Growth Percentile:
88.4%
Annual Openings:
31,300
Annual Openings Pct:
75.5%
Analysis of Current AI Resilience
GIS Tech
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
GIS technicians use computers and software to make maps and analyze spatial data. Today, many routine GIS tasks are being augmented by AI and machine-learning tools, but full automation is still limited. For example, researchers have built a “GIS Copilot” that lets users give natural-language instructions in QGIS; it can automatically generate code for basic and intermediate mapping analyses [1] [1].
Similarly, vendors offer “GeoAI” toolboxes that can clean data, classify features, and generate maps, saving time on repetitive work [2]. These tools help GIS analysts by speeding up data cleaning, map drawing, and simple analyses.
However, more complex tasks still need human judgment. One GIS researcher tried AI plugins to automatically trace old map lines, but found that current AI tools struggled with messy, low-resolution images [3] [3]. In other words, automatic digitizing of historical maps is not yet reliable – people still have to carefully guide and fix the results.
Likewise, tasks like supervising other staff or learning new methods remain human-driven. In short, AI is starting to take on the “drudgework” in GIS (cleaning data, running standard analyses), but it’s mostly augmenting rather than replacing human experts [1] [2].
Sources
AI in the real world
Adoption of AI in GIS depends on costs, tools, and trust. Right now, few off-the-shelf AI products fully solve GIS problems – many agencies still rely on traditional GIS software and human analysts [3]. Investing in AI can be expensive, and since GIS jobs are in demand (the U.S. Bureau of Labor projects rapid growth for GIS technicians [4]), some organizations may hire people rather than buy new tech.
On the other hand, areas with clear payoff are moving faster. For example, Honolulu’s planning department uses AI to automate permit mapping so staff can focus on higher-level analysis [2]. In disaster and environmental work, agencies use AI to process imagery – NASA’s Prithvi model, for instance, maps flood and wildfire areas from satellite data [2].
Overall, GIS work involves specialized skills and careful interpretation, so most employers take a cautious approach. There’s no evidence of sudden GIS job losses yet; BLS notes that automation has not caused a sharp drop in technology jobs [5]. Young GIS professionals shouldn’t panic: AI is a tool to help with heavy lifting, not a magic spell that replaces all human GIS skills.
Creative problem-solving, understanding context, and talking with clients are still things people do best. In fact, learning to work with new AI tools can make a GIS career even more valuable, as you’ll be able to do more with data than ever before [4] [2].
Sources
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More Career Info
Career: Geographic Information Systems Technologists and Technicians
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$108,970
Jobs (2024)
472,000
Growth (2024-34)
+8.2%
Annual Openings
31,300
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
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...
2
Lead, train, or supervise technicians or related staff in the conduct of Geographic Information Systems (GIS) analytical procedures.
3
Apply three-dimensional (3D) or four-dimensional (4D) technologies to geospatial data to allow for new or different analyses or applications.
4
Provide technical expertise in Geographic Information Systems (GIS) technology to clients or users.
5
Prepare training materials for or make presentations to Geographic Information Systems (GIS) users.
6
Meet with clients to discuss topics such as technical specifications, customized solutions, or operational problems.
7
Recommend procedures or 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.
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