The global expansion of AI has elevated data centers to the top of the digital economy. Every model of inference, training run, and cloud workload ultimately depends on physical infrastructure, including land, power, water, and connectivity. Yet the conversation around data center growth still tends to focus on computing capacity and capital investment, rather than the mounting physical risks that increasingly define whether these facilities can operate reliably at all.
As AI demand accelerates, data centers are being pushed into environments where climate volatility, water scarcity, community resistance, and sovereign regulatory intervention are no longer peripheral risks. They are becoming first-order constraints on availability, cost, and long-term resilience.
Seasonal catastrophe risk is no longer theoretical
There is little doubt that the volatility of climate change has increased. One of the clearest signals emerging from recent facility-level analysis is the degree to which seasonal risk now shapes operational exposure. According to interos.ai’s annual Predictions Report, data revealed that during peak summer months, 20 percent of global data centers face a high risk of catastrophic events, including floods, hurricanes, heatwaves, and wildfires. Forty percent of these facilities are concentrated in the United States, which hosts more than half of the world’s data center infrastructure.
