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There is no disclosed, project-specific figure for how much NTT Global Data Centers loses when a facility arrives late. The measurable price of moving too slowly is clearer at industry scale: construction averages reached $10.7 million per megawatt in 2025, grid connections in major markets take more than four years on average, and delayed capacity can leave operators without power, equipment, customers or revenue while demand compounds.

Why speed has become a data-center economics problem

NTT DATA’s outlook published on 29 June 2026, developed with NTT Global Data Centers and ThoughtLab, models worldwide data-center expansion through 2030. It expects demand to grow by roughly 23% to 30% annually. That growth rate can outrun the physical systems needed to serve it: electricity connections, land, transformers, switchgear, processors, cooling equipment, construction crews and permits.

Doug Adams, CEO and president of NTT Global Data Centers, summarized the mismatch: “AI demand is accelerating faster than many parts of the underlying infrastructure system can respond.” He added that the issue is “not simply scaling capacity, but removing the operational and supply-side constraints that delay deployment and erode the economics of AI investment.”

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The result is a race with two different clocks. Customer demand and AI investment can change in quarters, while a utility connection, substation, planning approval or specialized electrical order may take years.

What the published numbers say about the price tag

Measure Published figure Qualification
Average global construction cost $7.7 million per MW JLL average for 2020
Average global construction cost $10.7 million per MW JLL average for 2025
Average global construction cost forecast $11.3 million per MW JLL forecast for 2026
New data-center supply potentially required Nearly 100 GW JLL estimate for additions from 2026 through 2030
Total potential spending Up to $3 trillion JLL estimate including tenant IT fit-out, not just the building shell
Average grid-connection wait More than four years JLL average across primary data-center markets

Using JLL’s averages, a 100-MW facility would imply about $1.07 billion in construction cost at the 2025 average, before tenant IT fit-out and site-specific power work. At the 2026 forecast average, the same 100 MW would be about $1.13 billion. These are simple applications of a global average, not quotations for an NTT project; actual costs vary with location, density, cooling design, land, financing, interconnection and scope.

The increase from $7.7 million per MW in 2020 to $10.7 million in 2025 is an approximately 39% rise in the reported average. If a project is delayed while its required equipment and labor become more expensive, the operator may pay more for the same planned capacity even before accounting for missed revenue.

How NTT’s expansion target makes timing material

NTT Group reports approximately 2 GW of current global capacity, about 1,635 MW under construction or planned, and a goal of approximately 4 GW by fiscal 2030. NTT DATA’s fiscal 2024 report also said the group planned to invest more than $12 billion in new data-center development through fiscal 2027. The same report cited 41% compound annual growth in net-new global colocation demand through 2029.

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Those figures do not establish a specific loss caused by a late NTT facility. They do show why schedule slippage has strategic consequences: each delayed megawatt is part of a much larger capacity plan competing for the same constrained grid equipment, construction labor and customer commitments.

Where a data-center schedule actually gets stuck

Power availability and interconnection

NTT’s 29 June 2026 outlook identifies power availability and grid connections as decisive constraints in the United States and Europe. A finished building cannot serve customers at full load until the utility can deliver the contracted capacity and the site has the necessary substations, transformers and protection equipment. JLL’s wait-time average of more than four years in primary markets explains why a construction team may finish a shell long before it can energize the halls.

Long-lead electrical equipment

Processors, transformers, switchgear and backup generators have limited manufacturing capacity and long lead times. Ordering them after a project is fully designed can push the critical path out by months or years. Substituting a different model late in the project can trigger redesign, testing, certification and new delivery dates.

Land, permits and community acceptance

Suitable parcels are scarce near reliable power and network routes. Local opposition, environmental reviews, water concerns, traffic impacts and planning conditions can delay approvals or force a different site. A technically feasible location therefore may not be a buildable location on the required schedule.

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Specialized labor

High-density facilities require electrical, mechanical, controls, commissioning and cooling expertise. Shortages of specialized construction workers extend installation and testing, especially when several large projects compete in the same region.

Cooling and operational readiness

AI systems can produce much higher rack densities than conventional enterprise workloads. Cooling design, water availability, heat rejection, controls and commissioning must be ready before customers can safely run those loads. Retrofitting liquid or direct-to-chip cooling after a facility is occupied is more disruptive and costly than designing for it at the outset.

Build-fast versus build-slow: the decision trade-off

Decision axis Build faster Build more slowly
Revenue and onboarding Brings commissioned capacity and customer contracts forward. Defers revenue and risks losing customers to capacity that is available sooner elsewhere.
Power certainty Requires early utility coordination and may commit to a site before every detail is known. Allows more demand and grid validation, but a power queue can consume the schedule.
Equipment procurement Uses early reservations, diversified suppliers and long-term orders to protect the critical path. Preserves flexibility, but prices and delivery slots may worsen while the project waits.
Capital and financing Needs capital sooner and exposes the operator to underutilization if demand changes. Reduces the risk of building ahead of demand, while inflation and financing costs can rise.
Cooling and efficiency Standardized designs can be deployed repeatedly and optimized for high-density loads. Later designs may incorporate newer technology, but retrofits or redesigns can erase the benefit.
Permitting and community risk Early engagement can secure approvals sooner, but an accelerated process can face objections if consultation is weak. Offers more time for consultation and redesign, at the cost of a longer path to operation.
Flexibility Phased halls and modular systems can open portions of a site while later phases continue. More demand information is available before committing the full build, but the site may miss the market window.

Neither strategy is universally cheaper. Speed creates an opportunity to monetize scarce capacity while AI demand is growing; it also increases exposure to expensive equipment, power and utilization commitments. Delay can improve demand validation, yet waiting for certainty may mean that the grid position, equipment slot or customer has already gone elsewhere.

What NTT says can remove bottlenecks

The NTT-commissioned outlook recommends treating delivery as a coordinated infrastructure program rather than a sequence of isolated construction tasks.

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  • Co-plan with utilities early: establish the interconnection path, required upgrades, milestones and energization sequence before finalizing the site schedule.
  • Diversify suppliers: avoid making one manufacturer or region a single point of failure for transformers, switchgear, generators or processors.
  • Use long-term procurement: reserve manufacturing capacity and lock in critical components earlier when the business case supports it.
  • Standardize equipment and designs: repeatable modules reduce engineering, installation and commissioning time across sites.
  • Design for advanced cooling: direct-to-chip and other liquid-cooling approaches can support dense AI deployments when planned into the facility rather than added as an emergency retrofit.
  • Operate with software and automation: AI-enabled operations can improve monitoring, maintenance and load management once the facility is live.
  • Track PUE and WUE: stronger power-usage-effectiveness and water-usage-effectiveness benchmarks make efficiency a design and operating requirement, not a late reporting exercise.
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How to judge whether a delay is expensive

A useful assessment separates four effects instead of looking for one headline number:

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  1. Direct cost escalation: compare the original per-megawatt budget with current equipment, labor, land and financing costs. JLL’s global averages show the direction of movement, but a site-specific estimate is required for a real project.
  2. Lost capacity revenue: identify the date on which powered, commissioned space could have been contracted and the number of megawatts unavailable during the delay.
  3. Demand and customer risk: test whether customers can postpone deployments, move to another region or use another provider while they wait.
  4. Schedule and option value: include the value of a secured grid position, equipment reservation, permit or phased expansion. Losing one of those options can make a later project slower and more expensive than the original plan.

This framework also prevents a common error: treating an empty, unpowered building as equivalent to usable capacity. Revenue begins only when power, cooling, network connectivity, commissioning and customer-ready space are available.

What is known—and not known—about NTT’s “price tag”

Public information supports an industry-scale conclusion, not a disclosed NTT delay charge. NTT has published capacity, investment and growth targets, while JLL has published construction-cost, grid-wait and total-spending benchmarks. Neither figure identifies a particular NTT project, its planned megawatts, its delay duration or the revenue it would have earned.

The defensible interpretation is therefore economic rather than a single accounting loss: building too slowly can forfeit the period when customers need capacity, while the eventual facility costs more to deliver. For NTT’s approximately 4-GW fiscal-2030 ambition, the ability to secure power, equipment, land, permits and skilled labor on time is as important as the capital budget itself.

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