Geographic information might not be top-of-mind when it comes to thinking about the data your organization collects, but paying attention to it can unearth surprising value – especially when building out AI systems.
How GIS, Mapping, And AI Will Reshape Global Decision-Making
We may be standing at one of those rare inflection points in human history – moments like the invention of the compass or the first satellite images of Earth – when a new capability fundamentally reshapes how we see and manage our world.
Artificial intelligence is advancing rapidly, processing information at a scale and speed that was unimaginable even a few years ago. But the most transformative breakthroughs may come not from AI alone, but from its integration with geographic information systems (GIS) and modern mapping technologies – the tools that organize, analyze, and visualize the world’s data through the lens of location.
GIS and mapping have long been the backbone of how we understand our physical, ecological, social, and economic systems. Now, with AI woven into them, they are becoming far more powerful engines for insight, prediction, and decision-making.
This convergence is not just enhancing our tools. It’s redefining how we understand the world itself.
Why Geography Makes AI Smarter
AI can process information, but processing is not understanding. Geography – the science of our world – connects nearly everything humans observe and do. GIS turns that science into a digital framework, integrating vast amounts of data through spatial location. Mapping brings this information to life visually, revealing relationships that are invisible in spreadsheets or text: how systems interact, how risks propagate, how communities are affected.
AI amplifies this dramatically.
When AI is layered onto GIS and mapping, we gain the ability to model complex systems, detect patterns at planetary scale, and generate insights that support smarter decisions in cities, businesses, infrastructure, and environmental management. It allows us to integrate economic, social, environmental, and ecological information in ways that support a more sustainable and resilient future.
When systems ignore geography, we get solutions that don’t fit. We get technology that serves some and bypasses others. We get efficiency without wisdom.
GIS and mapping have always been the bridge between data and understanding. What’s changing now is the scale of the data on one side of that bridge – and the urgency of the decisions on the other.
This isn’t a future vision. It’s already happening.
A Real-World Example of GIS and AI in Action
When the Kakhovka Dam collapsed in Ukraine in 2023, 1.4 million acres of farmland lost irrigation overnight, triggering a regional food crisis. Within hours, the UN's Food and Agriculture Organization was mapping and tracking the impact using DIEM – a system built on GIS and enhanced with AI to monitor food security across 27 countries in near real time.
GIS provided the geographic framework. Mapping made the crisis visible. AI accelerated the analysis. Together, they delivered actionable intelligence when it mattered most.
How Leading Organizations Are Using GIS to Navigate Risk
When organizations use GIS and mapping with real curiosity and purpose, they uncover insights they couldn't have found otherwise.
Walmart and AT&T are strong examples. Both companies map their facilities against detailed climate models – layering flood, heat, and wildfire risk – to understand which assets face the greatest exposure over the next five to twenty years. GIS provides the spatial intelligence. Mapping makes the risks clear. AI accelerates the analysis. Leaders make the judgment calls: which risks to address, which tradeoffs to accept, and what responsibilities they have to the communities affected.
That distinction – between insight and judgment – is essential.
AI Can Process. GIS and Mapping Can Illuminate. Only People Can Decide.
The coming era will demand more human capacity, not less. The people who thrive will be those who practice stewardship: understanding the geography of a problem, seeing connections and dependencies, asking the right questions before reaching for answers, and keeping purpose in view while navigating complexity.
These aren't new skills. They're the skills of good scientists, planners, and leaders. AI simply makes them more essential – and more widely necessary.
Choosing the Future We Want
The future worth building is one where AI's processing power and GIS's geographic understanding – brought to life through mapping – strengthen human judgment, not replace it. A future where we use these tools to better care for the planet and the people on it.
That future is within reach. But it requires intention – and the willingness to develop the capacities that make us responsible stewards of an increasingly intelligent world.
It's meaningful work. And it's work we need to take on now – together.
This article was written by Jack Dangermond from Forbes and was legally licensed through the DiveMarketplace by Industry Dive. Please direct all licensing questions to legal@industrydive.com.