Will gis technicians be replaced by AI?
Updated
GIS technicians score 62 of 100 for AI exposure. The largest share of their task time, 87%, is work AI speeds up while they stay in charge. AI can take over 7% outright, and 6% stays with people.
- 7% AI can do it
- 87% AI helps
- 6% Needs a person
High exposure
Higher than 93% of the 923 occupations we scored.
Task by task
We graded 29 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 25 and leaves 2 to people.
| Task | AI exposure |
|---|---|
| Enter data into Geographic Information Systems (GIS) databases, using techniques such as coordinate geometry, keyboard entry of tabular data, manual digitizing of maps, scanning or automatic conversion to vectors, or conversion of other sources of digital data. Scanning, vectorizing and format conversion are largely automated; some manual digitizing remains. | 78% AI can do it |
| Prepare training materials for, or make presentations to, Geographic Information Systems (GIS) users. AI drafts training materials and slides; trainer reviews and delivers. | 70% AI can do it |
| Perform computer programming, data analysis, or software development for Geographic Information Systems (GIS) applications, including the maintenance of existing systems or research and development for future enhancements. AI writes and debugs GIS code well; developer reviews and maintains systems. | 68% AI helps |
| Document, design, code, or test Geographic Information Systems (GIS) models, internet mapping solutions, or other applications. AI drafts code, docs and tests for mapping apps; developer reviews. | 68% AI helps |
| Create, analyze, report, convert, or transfer data, using specialized applications program software. AI can script conversions and transfers; technician verifies results. | 66% AI helps |
| Develop specialized computer software routines, internet-based Geographic Information Systems (GIS) databases, or business applications to customize geographic information. AI writes web mapping and business app code; developer leads and tests. | 65% AI helps |
| Design, program, or model Geographic Information Systems (GIS) applications or procedures. AI generates GIS models and procedure code; person designs and validates. | 62% AI helps |
| Produce data layers, maps, tables, or reports, using spatial analysis procedures or Geographic Information Systems (GIS) technology, equipment, or systems. AI can script spatial analysis and draft reports; analyst verifies outputs. | 60% AI helps |
| Collect, compile, or integrate Geographic Information Systems (GIS) data, such as remote sensing or cartographic data for inclusion in map manuscripts. AI can batch compile and reformat data; person checks sources and integration. | 60% AI helps |
| Perform geospatial data building, modeling, or analysis, using advanced spatial analysis, data manipulation, or cartography software. AI drafts models and analysis workflows; analyst validates methods and results. | 58% AI helps |
Show the other 19 tasks
| Task | AI exposure |
|---|---|
| Maintain or modify existing Geographic Information Systems (GIS) databases. AI can write update scripts and check schemas; person runs changes. | 55% AI helps |
| Review existing or incoming data for currency, accuracy, usefulness, quality, or completeness of documentation. AI can flag gaps and inconsistencies; person judges accuracy and fitness. | 55% AI helps |
| Conduct research, data analysis, systems design, or support for software such as Geographic Information Systems (GIS) or Global Positioning Systems (GPS) mapping software. AI helps with research, literature and code; analyst leads design choices. | 55% AI helps |
| Design or prepare graphic representations of Geographic Information Systems (GIS) data, using GIS hardware or software applications. AI suggests cartographic designs; person handles software and final graphics. | 50% AI helps |
| Perform integrated or computerized Geographic Information Systems (GIS) analyses to address scientific problems. AI accelerates analysis code and interpretation; scientist frames the problem. | 50% AI helps |
| Provide technical support to users or clients regarding the maintenance, development, or operation of Geographic Information Systems (GIS) databases, equipment, or applications. AI handles common troubleshooting; complex system issues need a person. | 50% AI helps |
| Create visual representations of geospatial data, using complex procedures such as analytical modeling, three-dimensional renderings, or plot creation. AI generates plots and visual code; analyst chooses and checks representations. | 50% AI helps |
| Select cartographic elements needed for effective presentation of information. AI suggests map elements and layouts; person selects for the audience. | 45% AI helps |
| Apply three-dimensional (3D) or four-dimensional (4D) technologies to geospatial data to allow for new or different analyses or applications. AI can assist 3D processing code; specialized visualization still needs expert work. | 45% AI helps |
| Design or coordinate the development of integrated Geographic Information Systems (GIS) spatial or non-spatial databases. AI helps draft schemas; design decisions and coordination stay with people. | 40% AI helps |
| 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) technology, equipment, or systems. AI summarizes literature; conferences and peer networking remain human. | 40% AI helps |
| Recommend procedures, equipment, or software upgrades to increase data accessibility or ease of use. AI compares tools and drafts recommendations; organizational context needed. | 40% AI helps |
| Confer with users to analyze, configure, or troubleshoot applications. AI can diagnose configuration issues from logs; dialogue with users stays human. | 40% AI helps |
| Provide technical expertise in Geographic Information Systems (GIS) technology to clients or users. AI answers common GIS questions; expert judgement still needed for clients. | 35% AI helps |
| Interpret aerial or ortho photographs. AI can detect features in imagery; interpretation needs expert review. | 35% AI helps |
| Make recommendations regarding upgrades, considering implications of new or revised Geographic Information Systems (GIS) software, equipment, or applications. AI summarizes release notes; upgrade tradeoffs need organizational judgement. | 35% AI helps |
| Assist users in formulating Geographic Information Systems (GIS) requirements or understanding the implications of alternatives. AI can draft requirement questions; user needs require human dialogue. | 30% AI helps |
| Transfer or rescale information from original photographs onto maps or other photographs. Manual rescaling and transfer onto photos uses specialized instruments and hands-on skill. | 22% Needs a person |
| Meet with clients to discuss topics such as technical specifications, customized solutions, or operational problems. Live client meetings require人 judgement and relationship; AI only preps notes. | 20% Needs a person |
How GIS technicians compare
All occupations (923)
Computer and mathematical (36)
Pay and outlook in the US
- Median pay
- $116,580 a year, May 2025
- People employed
- 48,374 in the US, May 2025
- Projected change in jobs
- +5.1% from 2024 to 2034
Skills to build
- Review AI-written Python and JavaScript GIS code before release
- Write and check SQL queries against GIS attribute databases
- Transfer and rescale information from original photographs onto maps
- Interpret aerial and ortho photographs and validate feature detection
- Lead client meetings on technical specifications and operational problems
- Deploy internet mapping apps on AWS or Microsoft Azure
Safer roles nearby
5 related occupations with lower scores.
Questions about GIS technicians and AI
Will AI replace gis technicians?
Partly. About 5 in 10 working hours go to tasks AI can already do, mostly GIS database data entry and training material preparation. Client meetings and hand transfers from photographs onto maps stay with the technician.
Which GIS technician tasks is AI taking over?
Data entry into GIS databases leads, with an exposure score of 78. Scanning, automatic vector conversion and format conversion are largely automated, leaving some manual digitizing. AI also drafts training slides, exposure 70, and writes and debugs GIS code, exposure 68, and the technician still reviews and verifies each output before use.
Which GIS technician tasks stay human?
Client meetings on technical specifications and operational problems stay human because they depend on live judgment and relationships. Manually transferring information from original photographs onto maps needs specialized instruments and hands-on skill. Interpreting aerial and ortho photographs stays with the technician, since AI can flag features but experts must review them.
How can GIS technicians stay valuable as AI spreads?
Review AI-written Python and SQL before it touches GIS databases, since the technician is responsible for the results. Take on client meetings and requirement discussions, which AI only helps prepare for. Learn AWS or Microsoft Azure hosting for internet mapping apps, and keep photo interpretation and rescaling skills sharp.
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