“Half may never be built” is an overstatement. The strongest current evidence says many proposed AI data centers will be delayed, downsized or stop short of their announced power capacity—not that half of the buildings will disappear. Uptime Institute’s January 2026 review of more than 350 publicly announced projects above 100 megawatts estimated that roughly 50% would reach their projected power capacity, with only about 25% of the total planned power likely to be actively utilized. Separately, Sightline Climate estimated that 30% to 50% of large facilities scheduled to come online globally in 2026 could be delayed.
Those findings describe different samples and outcomes. A delay is not a cancellation, and a completed shell is not usable AI capacity. The practical question is which projects have secured electricity, permits, equipment, financing and customers.
What the “half” estimate actually measures
Uptime’s estimate concerns projects reaching their projected power capacity. It does not say that half of the announced sites will never exist. A campus may open at 100 megawatts instead of its advertised 1 gigawatt, or deliver its first phase years later than promised. Uptime counted 181,209 megawatts of proposed power and estimated that only about one-quarter of that planned provisioned power would be actively utilized. These are estimates of capacity and use, not a construction census. Uptime Institute report
Sightline’s estimate is about timing: 30% to 50% of large projects scheduled for 2026 could be delayed. Its tracker included 777 projects above 50 megawatts announced since January 2024, with at least 16 gigawatts planned for 2026 but only about 5 gigawatts under construction when reported on February 24, 2026. Sightline also found that 26% of 110 projects expected online in 2025 were delayed. Latitude Media summary
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| Project status | What it proves | What it does not prove |
|---|---|---|
| Announced | A sponsor has publicized a concept or target. | That land, power, financing or a tenant is secured. |
| Land secured | A site is controlled or under option. | That zoning or utility service is approved. |
| Permitted | Required approvals have been obtained. | That construction funding or grid energization is available. |
| Interconnection agreement executed | A utility has committed to a defined connection plan. | That transmission upgrades and generation will arrive on time. |
| Financed and under construction | Capital and physical work are committed. | That the full ultimate campus will be built. |
| Energized, equipped and occupied | Power, cooling, servers and customers are operating. | That the facility is running at its maximum nameplate capacity. |
Why announcements outnumber finished campuses
AI companies and cloud providers want options for future computing capacity. Developers compete for land, utility reservations, tax incentives and anchor tenants, and a public announcement can help attract financing or political support. Multiple developers may submit alternative sites or interconnection requests and proceed with only one. The same campus can also appear separately in a landowner’s, utility’s, colocation operator’s and customer’s pipeline.
Utility Dive reports expert estimates of five to ten times more interconnection requests than data centers ultimately built in some markets. That is an expert estimate, not a universal industry statistic. S&P Global likewise warns that “prospector” builders and duplicate expansion plans can inflate forecasts. Utility Dive S&P Global 451 Research
Power delivery is the central bottleneck
A building can be erected faster than a utility can add generation, transmission, a substation and large transformers. An expression of interest from a utility is not an executed interconnection agreement; an agreement is not a funded transmission upgrade; and a planned energization date is not proof that the system can serve the load during peak conditions.
Uptime found that two-thirds of its 2025 giant-project proposals expected to rely solely on the grid, while 28% planned grid plus onsite generation and 4% planned to be entirely off-grid. EPRI says a 100–1,000 MW data center can represent demand comparable to roughly 80,000–800,000 average homes. Uptime Institute EPRI
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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →The sequence that determines usable AI capacity is usually generation → transmission → substation → transformer and switchgear → interconnection → energization → cooling → GPU installation and customer acceptance. A weakness at any step can leave a finished building idle.
Equipment shortages can strand a completed shell
Large power transformers, medium-voltage switchgear, breakers, generators, busways and advanced cooling systems are long-lead items. Sightline identified electrical-equipment shortages alongside power constraints and community opposition as major causes of delay. Liquid cooling for dense GPU racks adds design, manufacturing and commissioning dependencies. Construction progress therefore does not necessarily equal available compute.
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Local opposition changes the schedule and economics
Residents and regulators are asking who pays for grid expansion, roads, water systems, emergency services and tax incentives. They are also examining water use, cooling noise, generator emissions, land conversion, traffic and promised employment. Sightline cited the withdrawal of a proposed $1 billion Michigan facility after concerns about water, grid strain, environmental effects and transparency. Construction Dive reports that community-benefit plans are increasingly important for projects facing public scrutiny. Latitude Media Construction Dive
Opposition is not merely a nuisance. A project can be technically feasible yet financially unattractive if it requires expensive public infrastructure, uncertain tax abatements or a lengthy zoning fight.
Financing and AI demand are not guaranteed
Developers must fund land, utility deposits, construction, equipment and interest before revenue arrives. A binding hyperscaler lease is materially stronger than an unnamed expression of interest. GPU depreciation, model efficiency and changing training and inference locations can alter the required capacity before a campus is complete.
Demand is substantial: S&P Global describes an infrastructure race in which leading training systems require tens of thousands of GPUs. But forecasts vary widely, and Utility Dive highlights a broad range of AI electricity scenarios. A company may reserve capacity for strategic flexibility rather than immediate consumption. S&P Global notes that buildings can be adjusted relatively quickly while power infrastructure is slower and less flexible. S&P Global 451 Research Utility Dive
“Phantom” load affects real customers
When developers submit speculative large-load requests, utilities must study possible upgrades and reserve planning capacity. If requests later vanish, those studies can still delay genuine projects, distort forecasts and encourage infrastructure sized for demand that never arrives. Ratepayers may bear costs if assets are built before commitments become firm.
Regulators are responding with financial guarantees, milestone requirements and special tariffs. On June 18, 2026, FERC directed six regional grid operators to justify or reform tariffs covering large loads, including co-located generation and flexible-load arrangements, giving operators 60 days to respond. Federal Energy Regulatory Commission
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Off-grid power helps, but does not remove risk
Natural-gas generation, fuel cells, batteries, solar, microgrids, existing power-plant sites and flexible-load contracts can supplement or temporarily replace grid service. Sightline found that more than half of large facilities scheduled for 2026 still planned to connect to the grid, while only 3% planned to rely solely on onsite power. Latitude Media
Onsite supply introduces air permits, fuel logistics, emissions, noise, operating costs and reliability questions. Solar and batteries generally cannot provide continuous high-density output alone; nuclear projects have long development timelines; and a microgrid shifts many grid risks into permitting and project finance rather than eliminating them.
Which projects are most likely to proceed?
Green flags
- Executed interconnection agreement and a named utility.
- Funded transmission work, an existing substation or nearby generation.
- Approved permits and visible site or vertical construction.
- Transformer and switchgear orders placed.
- Named anchor tenant, closed financing and a published energization date.
- Phased capacity with a realistic first-stage megawatt target.
- A credible water, cooling and community-benefit plan.
Yellow flags
- Land option or memorandum of understanding without a binding power contract.
- “Up to” capacity, unnamed partners or reliance on future legislation or transmission.
- No disclosed cooling, water, financing or construction milestones.
- An ultimate campus size far beyond current regional load.
Red flags
- No identified power source, interconnection study, permits, tenant or financing.
- Repeatedly shifting completion dates or a large capacity increase without a new plan.
- Unresolved litigation, a local moratorium or dependence on unproven technology.
- Promotion driven mainly by press releases rather than utility and construction records.
How to evaluate a specific announcement
- Record the original announcement date, ultimate capacity and promised first-phase capacity.
- Verify the named utility, interconnection stage, transmission upgrades and firm energization date.
- Check permits, zoning decisions, financing and physical construction evidence.
- Separate the capacity under construction from the campus’s eventual nameplate.
- Identify the tenant commitment and whether it is binding or exploratory.
- Track equipment orders, water and cooling plans, onsite-generation permits and community agreements.
- Classify the outcome as on schedule, delayed, downsized, paused or formally canceled; silence alone is not cancellation.
What this means for the AI buildout
The likely outcome is a more selective expansion, not an AI-infrastructure collapse: fewer locations, longer schedules, phased campuses, more onsite power and closer regulatory scrutiny. Secured electricity, permits, equipment and customers will matter more than a headline megawatt number. A project should be treated as prospective capacity until it demonstrates those commitments.
An arXiv feasibility study similarly estimated physically feasible U.S. hyperscale capacity in the tens of gigawatts rather than hundreds, but its assumptions and preprint methodology mean it is not an official national limit. Constraint-Based Feasibility Analysis
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The Bottom Line
The defensible conclusion is not that half of all announced mega data centers will be canceled. It is that a large share will miss its announced date or ultimate scale. Judge each project by power rights, permits, equipment, financing, tenants and construction—not by its press release.
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