A planner sits down with ChatGPT and asks for help finding suitable parcels for a new fire station. They paste in a description of the criteria — inside the city limits, outside the floodplain, at least two acres, within half a mile of a major road. The model returns a ranked list. The planner runs the same prompt the next morning to double-check, and the list is slightly different. A few parcels have moved up. A few have dropped off. The criteria didn’t change. Neither did the data.
That moment — the same input producing different outputs — is the reason AI alone is not the future of GIS automation.
It is also why deterministic automation matters more now than it did five years ago. Find out why in the article below.