SIGNALInfrastructure Software·Jun 29, 2026, 8:29 PMSignal75Medium term

NTT Global Data Centers Report Reveals What It Will Take to Power Next Wave of AI

Source: HPCwire

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NTT Global Data Centers Report Reveals What It Will Take to Power Next Wave of AI

LONDON, June 29, 2026 — NTT DATA, a global leader in AI, digital business and technology services, today released Can Data Centers Keep Pace with AI? A Global Data Center Outlook, a report examining whether the infrastructure required to support the next wave of artificial intelligence can scale fast enough to meet demand. Developed in partnership […] The post NTT Global Data Centers Report Reveals What It Will Take to Power Next Wave of AI appeared first on HPCwire .

Why this matters
Why now

The rapid expansion of AI capabilities is placing unprecedented demands on underlying data center infrastructure, prompting immediate evaluation of scalability.

Why it’s important

A strategic reader must understand if the physical infrastructure for AI development can keep pace with demand, as this directly affects innovation timelines and investment strategies.

What changes

This report provides an updated assessment of the looming compute and power constraints for AI, potentially recalibrating expectations for AI's rollout and required infrastructure investments.

Winners
  • · Data Center Operators
  • · Energy Infrastructure Providers
  • · Hardware Manufacturers (GPUs, cooling systems)
  • · AI Software Optimizers
Losers
  • · Companies with delayed infrastructure investments
  • · Regions with limited power grids
  • · Legacy data center designs
  • · AI projects underestimating infrastructure cost
Second-order effects
Direct

The report highlights the critical need for significant investment in data center and energy infrastructure to support AI's growth.

Second

Increased competition for land, power, and resources for data center construction could lead to rising operational costs and potential regulatory bottlenecks.

Third

Nations may begin to view data center capacity and energy supply as strategic national assets, similar to leading-edge chip manufacturing, to ensure AI sovereignty.

Editorial confidence: 95 / 100 · Structural impact: 60 / 100
Original report

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