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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Data-center capacity is getting more expensive and harder to secure, but the shortage is not uniform worldwide. CBRE reported that its global weighted-average data-center price reached $217.30 per kilowatt per month in Q1 2025, up 3.3% year over year. In individual markets, however, prices rose 17.6% in Northern Virginia, 17.2% in Chicago, and 18% in Amsterdam.
For enterprises, the scarce resource is not simply empty floor space. It is powered, connected, high-density capacity available in the right location and by the required date. That distinction explains why a market can have new facilities under construction while a buyer still faces a two-year—or longer—wait for suitable capacity.
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What the 18% figure actually means
The headline does not mean that every data-center expense increased 18%, or that global data-center costs rose 18%. The figure refers to market-specific pricing reported by CBRE. Its global weighted average rose 3.3% year over year to $217.30 per kilowatt per month in Q1 2025, while several major markets recorded much sharper increases.
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|---|---|---|
| Global weighted-average price | $217.30/kW/month | A market average, not a guaranteed quote |
| Global year-over-year increase | 3.3% | Change in the reported global average |
| Northern Virginia | 17.6% | Market-specific pricing increase |
| Chicago | 17.2% | Market-specific pricing increase |
| Amsterdam | 18% | Market-specific pricing increase |
| Global vacancy | 6.6% in Q1 2025 | Limited available inventory across the measured markets |
These figures describe capacity pricing, not total enterprise ownership cost. A buyer’s bill may also include utility energy, demand charges, cooling, construction, cross-connects, cloud on-ramps, networking, hardware, maintenance, staffing, insurance, financing, and compliance.
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Actual pricing depends on load size, rack density, resiliency, contract term, delivery date, power pass-through terms, expansion rights, and the customer’s credit profile. A market index cannot predict an individual lease.
Why the shortage is about power, not just space
A facility may advertise available floor area while being unusable for a particular project. It may lack:
- committed utility power;
- enough contiguous megawatts;
- high-density racks or liquid cooling;
- carrier diversity or cloud connectivity;
- the required resiliency design;
- data-residency or compliance approvals;
- an acceptable commissioning date.
Utility interconnection is often the longest step. Deloitte notes that power-capacity development can take longer than the physical data-center build. JLL reported average power-delivery timelines of roughly four years across North American markets, although local utility schedules vary substantially.
The supply chain adds further pressure. Transformers, switchgear, generators, cooling equipment, construction labor, fiber connections, land, permitting, and transmission capacity can each delay a project. Local water restrictions, extreme-weather exposure, community opposition, and zoning rules can narrow the list of viable sites.
Why “two years” is not a universal deadline
The phrase “two-year capacity drought” is directionally plausible for some buyers, particularly those seeking large contiguous power blocks or AI-ready facilities. It is not a guaranteed timetable for every enterprise.
CBRE described sites with power access in 18–36 months as highly sought after. JLL’s roughly four-year figure measures average power-delivery timelines in North America, not the time required to lease an already energized cabinet or suite. These are different milestones:
- Utility commitment: the provider has a credible allocation or interconnection path.
- Power delivery: the utility can deliver the required electrical capacity.
- Mechanical completion: the building systems are installed.
- Commissioning: systems have been tested and accepted.
- Customer-ready date: the enterprise can install and energize its equipment.
“Under construction” does not mean “available to a new customer.” CBRE reported that 74.3% of under-construction North American capacity was already committed in H1 2025. A reported 6,350 MW under construction in primary markets at the end of 2024 likewise represented a pipeline, not immediately leasable inventory.
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AI is intensifying the squeeze—but it is not the only cause
AI training and inference have made the constraint more visible because they require much more power per rack, advanced cooling, high-speed east-west networking, and often large contiguous clusters. A conventional enterprise facility may have sufficient space but lack the electrical and cooling architecture for the intended accelerators.
AI workloads are not identical. Training usually favors large, tightly connected clusters. Real-time inference emphasizes latency and predictable service. Batch inference may tolerate more geographic flexibility. Retrieval and traditional enterprise applications can have different density and availability requirements.
AI is also only one demand driver. Cloud migration, application modernization, data growth, backup and disaster recovery, digital commerce, regulatory retention, edge computing, and newer high-density server generations all consume capacity. Uptime Institute’s 2025 survey of more than 800 owners and operators identified cost as a leading management concern and reported growing difficulty forecasting future capacity requirements. Nearly two-thirds of operators reported difficulty retaining qualified staff, finding qualified candidates, or both.
Deloitte projects that U.S. AI data-center power demand could reach 123 GW by 2035, compared with 4 GW in 2024. That is a projection, not a current measurement, and the outcome depends on AI adoption, model efficiency, hardware utilization, and power development.
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| Deployment | Typical constraint | Planning implication |
|---|---|---|
| Several hundred kilowatts of conventional enterprise load | Local inventory, connectivity, compliance, and delivery dates | More options than hyperscale projects, but early reservation still helps |
| Private cloud or large enterprise expansion | Contiguous power and phased growth | Negotiate expansion rights and staged energization |
| AI training | Large contiguous high-density blocks and liquid cooling | Begin site and utility analysis immediately |
| AI inference | Latency, accelerator availability, and regional capacity | Compare cloud, managed GPU, and distributed deployments |
| Regulated workloads | Residency, auditability, resiliency, and security | Do not substitute a cheaper market without compliance validation |
| Disaster recovery | Geographic separation and replication bandwidth | Model network and data-transfer cost, not rent alone |
CBRE’s North American data indicates that the largest deployments are seeing the greatest pressure: pricing for deployments of 10 MW or more increased by as much as 19% in its H1 2025 analysis, compared with a 2.5% increase for the 250–500 kW segment.
Market differences matter
Northern Virginia
Northern Virginia remains one of the largest data-center markets. Its reported 17.6% pricing increase reflects strong demand and power limitations. It remains attractive for connectivity and ecosystem depth, but large deployments should not assume that a major market has immediate inventory.
Chicago
Chicago recorded a 17.2% increase in the cited comparison. CBRE’s North American analysis also showed a 15.4% gain for the 10 MW-plus tier. Large contiguous blocks can be particularly difficult to secure.
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Amsterdam
Amsterdam recorded an 18% increase. European supply growth has been constrained by difficulty securing power, so announced facilities do not necessarily translate into near-term capacity for new buyers.
Secondary and tertiary markets
Less-established markets may offer cheaper land or earlier power, but they can have fewer carriers, higher latency, weaker cloud ecosystems, less specialized labor, and greater permitting uncertainty. A lower monthly rate can be offset by connectivity, staffing, travel, replication, and resilience costs.
What enterprises should do now
If capacity is needed within six months
Prioritize already energized colocation, managed infrastructure, or public-cloud capacity. Confirm the exact accelerator, region, quota, rack density, and network configuration rather than accepting a general statement that capacity is available.
If capacity is needed within 12–24 months
Run a competitive procurement now and seek a reservation with staged delivery. Ask for a committed customer-ready date, not merely a construction milestone. Preserve the ability to reduce or shift the reservation if forecasts change.
If the requirement is multi-megawatt or AI-scale
Start utility, site, cooling, network, and permitting analysis immediately. Compare existing colocation, powered shell, build-to-suit, managed GPU infrastructure, and cloud capacity. The right answer may be a phased architecture rather than one facility.
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If long-term control is strategic
Compare the capital and execution risk of an on-premises expansion or build-to-suit with the flexibility of colocation and cloud. Owning the building does not eliminate utility queues, equipment lead times, staffing shortages, or commissioning risk.
Procurement and contract checklist
- What is the utility commitment date and the customer-ready date?
- Which milestones are contractually guaranteed?
- What happens if energization or commissioning is delayed?
- How much power is available on day one, and when will expansion blocks arrive?
- What rack density, liquid-cooling, floor-loading, and approved-GPU limits apply?
- Are utility energy, demand charges, and generation costs passed through?
- What are the annual escalators, minimum commitments, and reservation charges?
- Are expansion rights, contraction rights, and termination remedies included?
- What are the cross-connect, cloud on-ramp, transit, egress, and dark-fiber costs?
- How diverse are the utility feeds, carriers, generators, and disaster-recovery locations?
- Which SOC 2, ISO 27001, PCI DSS, HIPAA, FedRAMP, or other attestations apply?
- What security, audit, incident-reporting, data-residency, and equipment-removal obligations apply?
How to avoid an expensive capacity mistake
Do not confuse construction with supply
Large construction pipelines can be mostly preleased, awaiting power, or unsuitable for a buyer’s density and geography.
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Do not quote 18% as a global increase
The global average rose 3.3% in CBRE’s cited period. The 18% figure applied to Amsterdam, with similarly large increases in Northern Virginia and Chicago.
Do not assume cloud removes the constraint
Cloud can provide bridge capacity and reduce facilities management, but a preferred region may lack the required GPU, quota, or network configuration. Sustained high-utilization workloads may also face unfavorable reservation, storage, and egress economics.
Do not overreserve speculative AI capacity
Efficiency gains, smaller models, lower utilization, changing hardware generations, or weaker demand can leave an enterprise paying for stranded power. Favor phased commitments, portability, and expansion options over a large inflexible reservation.
Do not ignore staffing
A private facility requires qualified operations, electrical, mechanical, security, and compliance personnel. The labor market can be a constraint even when the building and power are available.
What could make the shortage less severe?
The outlook could improve if AI utilization disappoints, models become more efficient, workloads move to smaller or edge systems, cloud providers overbuild, new generation and transmission arrive faster, or enterprises shift workloads into secondary markets. Conversely, demand could grow faster than supply if AI adoption, cloud migration, and data creation accelerate.
That uncertainty makes optionality valuable. Enterprises should avoid both extremes: waiting passively for a construction announcement and locking themselves into more fixed capacity than their business can use.
Bottom line
Data-center capacity is genuinely tight, but the relevant shortage is regional and specification-dependent. The most exposed buyers need large, high-density, connected power blocks on a fixed schedule. For them, early action is more important than simply watching market averages.
For a conventional enterprise deployment, the best strategy is usually to reserve usable capacity early while preserving phased delivery, expansion rights, and workload portability. Compare the full cost of colocation, cloud, managed GPU infrastructure, and secondary-market facilities—including power, cooling, networking, staffing, compliance, and exit costs—rather than treating rent per kilowatt as the whole decision.
Commercial terms and availability change quickly. Before signing, obtain current quotes and verify the provider’s energization milestones, density limits, power pass-throughs, escalation clauses, and delay remedies.
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