Can Data Centers Keep Pace with AI?
A Global Data Center Outlook
Artificial intelligence (AI) is rapidly transforming the digital economy and significantly increasing demand for data center infrastructure. Data centers are the physical backbone enabling AI and digital innovation. Over recent years, the data center landscape has evolved from small in-house facilities to large hyperscale campuses that concentrate power, talent, and technology resources.
However, expanding global data center capacity requires more than selecting locations. Infrastructure conditions such as power availability, connectivity ecosystems, regulatory environments, and regional demand vary significantly across major markets like the US, Europe, and Asia. In many regions, the pace of AI innovation is beginning to outstrip the ability to deliver infrastructure at scale.
To better understand this shift, NTT Global Data Centers commissioned a comprehensive study that models three potential growth trajectories — accelerated, steady, and slower AI adoption — and stress tests each scenario against real-world constraints. By examining how demand interacts with power availability, land use, supply chains, and capital investment, the report provides a clearer view of where pressure points are most likely to emerge — and how the industry can prepare for them.
Discover how global data center infrastructure must evolve to support AI sustainably, efficiently, and at scale.
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