The explosive growth of artificial intelligence is reshaping where digital infrastructure is built. As companies race to train larger models and deploy AI services at scale, data center developers are moving into remote regions near the Arctic Circle, where energy is abundant and cooling costs are lower, tells Wired.com.
Across Scandinavia and Iceland, dozens of new facilities are under construction or planned. In the Swedish town of Borlänge, for example, a large data center is being built on the site of a former paper mill, symbolizing the shift from traditional industry to AI-driven computing infrastructure. More than fifty similar projects are underway across the Nordic region, making it Europe’s fastest-growing data center market.
The primary driver of this northern migration is the immense energy demand of modern AI systems. Training and running large models requires enormous clusters of graphics processing units (GPUs), which consume vast amounts of electricity and generate significant heat. Nordic countries offer a compelling combination of cheap renewable power, including hydroelectric and wind energy, as well as naturally cold climates that reduce the energy required for cooling servers.
Another factor enabling this shift is the rise of “neocloud” providers—companies that operate infrastructure designed specifically for AI workloads. Because AI training tasks are less sensitive to network latency than traditional cloud services, these operators can locate facilities far from major population centers without sacrificing performance.
Major technology companies and AI labs are already committing resources to the region. OpenAI has announced plans to deploy tens of thousands of GPUs in northern Norway, while companies such as Microsoft and the French AI startup Mistral have invested heavily in new infrastructure projects.
The boom is also reshaping local economies. Land values in remote areas have surged as developers compete for sites with access to large power supplies. Some municipalities hope the influx of investment will revitalize regions once dominated by industries such as mining, lumber, and paper manufacturing.
Ultimately, the expansion highlights a major shift in AI infrastructure strategy. Instead of locating data centers near financial hubs or large cities, developers now prioritize access to energy above all else, fundamentally altering the geography of the global computing landscape.