Artificial intelligence is transforming geospatial work on two fronts. Purpose-built GeoAI tools are advancing feature extraction, spatial prediction, and remote sensing analysis, while general-purpose AI — large language models, code assistants, and automation platforms — are quietly reshaping how professionals write scripts, manage data, and communicate results. This panel examines both dimensions, exploring where domain-specific and general AI tools complement each other, the risks of applying generalized models to spatially sensitive decisions, and practical strategies for integration. Panelists will share real-world experiences and offer guidance for organizations navigating this rapidly shifting landscape.
