Canceled data center projects leave utilities with stranded infrastructure costs that are often passed on to ratepayers, while capacity reassignment can take months or years to resolve.

For AI infrastructure, power delivery speed now matters more than capacity alone, reshaping site selection and requiring phased, flexible power strategies.

Densifying existing data centers is often faster and cheaper than building new ones, but it requires careful management of power, cooling, access, and regulatory constraints.

Property tax is a major, often-overlooked cost in AI data center ownership that should be strategically managed from design through operation, not treated as a yearly accounting task.

Urban data centers deliver low-latency performance and rich interconnection for metro workloads. Learn when they make sense, key trade-offs, and how to find the right provider.

AI outcomes depend on how predictably and securely data moves across data centers, clouds, and the edge. Designing for latency, resilience, and visibility is now as important as compute.

Data centers provide the environments where compute runs; telcos deliver the networks that connect them. Here’s how the two ecosystems diverge and overlap.

Water stewardship claims and WUE scores don’t guarantee reliability under heatwaves or water shortages. A site-specific resilience assessment matters more.

With US data center electricity use surging, developers must prove they can secure scalable, reliable power before breaking ground.

AI data center growth demands continuous safety oversight beyond onboarding, using real-time worker qualification tracking and leading indicators to prevent incidents.