Using AI in K–12 education has pros and cons. On the positive side, AI can personalize learning, giving students help at their own pace. It can support teachers by saving time on grading and lesson planning. AI tools can also make learning more engaging and accessible for students with special needs. However, there are concerns. Too much reliance on AI may reduce critical thinking and creativity. Data privacy and student safety are also major issues. 
Esri offers two basic types of AI tools: GeoAI and AI Assistants. GeoAI combines geographic information systems (GIS) technology with machine learning to analyze spatial data. It helps find patterns, make predictions, and support decisions about places, such as detecting land-use change, mapping risk, or analyzing traffic and climate data. AI Assistants focus on helping users work more efficiently. They use natural language to answer questions, explain data, generate maps, write code, or guide users through GIS tasks. Together, GeoAI powers advanced spatial analysis, while AI Assistants make GIS easier to use and understand.
Common GeoAI tools fall into a few well-established categories:
- Image classification and object detection: AI identifies features such as buildings, roads, trees, or land cover from satellite, aerial, or drone imagery. See a short video demo.
- Predictive modeling: Machine learning predicts outcomes like flood risk, wildfire spread, crime hotspots, traffic patterns, or population growth based on spatial data.
- Spatial clustering and pattern detection: AI finds hidden patterns, hot spots, or anomalies in geographic data, helping explain where and why things happen.
- Change detection: AI compares imagery over time to detect land-use change, deforestation, urban growth, or disaster damage.
- Natural language GIS assistants: AI tools let users ask questions, build maps, write GIS code, or analyze data using everyday language.
- Automation and feature extraction: AI speeds up repetitive GIS tasks like digitizing features, cleaning data, and updating maps.
As of January 2026, Esri provides several AI assistants across its ecosystem, primarily in Beta or Preview stages. These assistants utilize generative AI to streamline GIS workflows, code generation, and documentation search.
- ArcGIS Pro Assistant
- ArcGIS Arcade Assistant
- ArcGIS Business Analyst Assistant
- ArcGIS Survey123 Assistant
- ArcGIS StoryMaps Assistants
- ArcGIS Hub Assistant
- ArcGIS for Teams Assistant
- ArcGIS Instant Apps Assistant
- Documentation Assistant
- Item Details Assistant
To learn more about specific uses of educational applications of AI in GIS, take a look at some of these blog posts from Esri higher education and K12 team members.
