AI-driven demand is pushing data center development into rural markets, where power, land, and community resistance are changing how projects get built.
Jarrett Atkinson of BluePrint Supply Chain explains why on-time delivery isn’t just about when equipment arrives—it’s about whether the site is ready to do something with it when it does.
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At DCW26, innovation wasn’t just about bigger ideas, although it was that. But it was also about amplifying and refining what actually gets built. As AI infrastructure scales, innovation is scaling from components to systems; spanning power, cooling, connectivity, and deployment models.
A new TD Cowen survey shows enterprise AI has moved beyond experimentation and into embedded operations, setting up the next surge in data center demand.
GPC Infrastructure CEO Jim Summers explains why hyperscalers have stopped waiting on the grid, and what it takes to deliver power for data centers at AI scale.
The data center industry isn't just evolving — it's being restructured. AI and high-performance computing are pushing rack densities, thermal output, and operational complexity beyond what legacy infrastructure was ever designed to handle. Air cooling alone can no longer keep pace, and liquid ...
As AI demand accelerates data center development, the biggest risks may lie beyond power, spanning execution gaps, demand uncertainty, construction complexity, and utility delays that threaten to slow real-world delivery. This month’s DCF poll looks at where that risk is most likely to surface.
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Microsoft is scaling two infrastructure models at once: sovereign cloud regions for compliance and a new class of AI factory campuses built for frontier-scale compute.
At Data Center World, Omdia analysts argued that the AI infrastructure buildout is no longer just a hyperscaler story. It is becoming a broader, more power-hungry transformation that is reshaping everything from rack design to onsite generation and long-duration battery storage.
