Geospatial grounding in AI: a technical breakdown

Artificial intelligence (AI) systems increasingly power applications that demand precise spatial understanding, from autonomous vehicles to logistics optimization and location-based services. That shift exposes a core limitation in how AI models process geographic information. While large language models (LLMs) excel at language prediction and pattern recognition, they do not provide consistently reliable answers about the physical world on their own.