Power says AI demand is broadening from large training deployments into enterprise, inference and new geographies, strengthening Digital Realty's position.

We continue to see the benefits of artificial intelligence extending well beyond large-scale training deployments and into enterprise adoption, inference workloads, connectivity-rich environments and new geographies. We believe this broadening demand profile further strengthens Digital Realty's competitive position and long-term growth outlook.

Power notes that delivering data center capacity is increasingly hard, favoring experienced, well-capitalized developers.

While AI is driving unprecedented levels of demand, delivering that capacity has become increasingly challenging. Customers today increasingly recognize the value of experienced partners with the technological and engineering capabilities, development expertise and financial position required to deliver and operate critical infrastructure at scale.

Power argues most new hyperscale entrants lack the scale and funding to serve hyperscalers, benefiting Digital Realty.

While newer entrants to the hyperscale data center field have emerged, most lack the scale, balance sheet strength or funding sources necessary to pursue opportunities at the scale required by hyperscale customers today.

Power says agentic AI workloads need capacity near users and cloud zones, boosting demand for connected sites.

AI agent and coding workloads make many round trips per task, placing capacity close to end users and cloud zones improves performance and supports in-region data handling.

Power acknowledges community concerns over data center impacts on bills, water and noise, and calls for transparent engagement.

The scale of the data center build-out is historic, and it is only natural that people want to know how data centers affect their utility bills, water resources, air quality, noise and the overall fabric of their communities.