What if the most important part of AI is the part nobody talks about, not the chatbot, but the map underneath the world?

In this episode of AI-Curious, we talk with John Lenahan, Head of Esri’s Global Commercial Services team, about geospatial AI, GIS, and why “where” may be the missing context in so much of today’s AI conversation. We explore how maps become far more powerful when they layer in infrastructure, weather, sensor data, supply chains, demographics, and risk, and how AI can help turn that complexity into faster, more actionable decisions.

We also get into what this looks like in practice. We discuss the Baltimore bridge collapse and how responders were able to build an operational model of the wreckage in a day instead of spending weeks or months trying to recreate the scene. We look at how Raleigh is using spatial AI and computer vision to improve cyclist and pedestrian safety, how cities can rethink bus routes and permitting, and how companies can uncover risks they did not even realize they had, like suppliers concentrated in the same vulnerable region.

This conversation also explores the bigger business case for spatial intelligence. We talk about why a pipeline is not just a line on a spreadsheet, how terrain and soil can change maintenance costs dramatically, and why AI gets much more useful when it understands the physical world instead of treating everything like abstract text. We also discuss the risks, from trust and transparency to keeping humans in the loop when real lives and real infrastructure are involved.

Guest
John Lenahan — Head of Esri’s Global Commercial Services team

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