For a deeper dive into AI-specific topics like assistants and agents, data preparation, and the relevance of the architecture pillars to AI, see the new AI Lens for ArcGIS in the Architecture Center.
ArcGIS is an enterprise geospatial platform enhanced with AI, bringing agentic and scientific AI to GIS to transform how organizations move from data to insight to action, advancing geographic science and expanding enterprise intelligence, always anchored in trust and control, and grounded, governed, and secure. ArcGIS integrates machine and deep learning models, natural language experiences, and modern, extensible frameworks to empower users with intelligent, scalable, and secure geospatial solutions.
Since its inception in the 1980s, ArcGIS has continuously embraced emerging technologies — from early command-line GIS systems to graphical interfaces, cloud computing, and mobile platforms. The integration of artificial intelligence (AI) began with foundational machine learning techniques for spatial analysis and image classification. By the late 2010s, AI was embedded into core ArcGIS workflows, enabling automation of tasks like feature extraction from imagery and predictive modeling. Over time the infusion of AI into ArcGIS has expanded to include deep learning, computer vision, and natural language - reflecting a steady evolution from tool-based enhancements to a more integrated, platform-wide approach to geospatial AI built on an robust architecture and foundational AI framework.
Esri’s aim in evolving ArcGIS as geospatial AI platform is to:
AI tools and models — The integration of geospatial data and AI techniques such as machine learning, deep learning, and large language models to automate and enhance spatial analysis. Learn more in AI tools and models.
AI assistants — User experience enhancements that leverage AI skills and agents to enable natural language workflows across ArcGIS. See AI assistants.
Agentic AI — Autonomous workflow orchestrators that reason over spatial and non-spatial data to complete multi-step tasks. Explore Agentic AI for detailed patterns and design considerations.