Transformer shortages could slow America’s AI data center boom

AI’s grid problem is getting real

America’s AI race is running into a hardware problem outside the server room. Data centers need chips, land, cooling, and huge power connections, but many projects also need transformers that are now taking years to secure.

That matters because AI campuses can move faster than the grid equipment needed to power them. If transformer orders slip, new data centers may open later, cost more, or shift to areas with stronger power infrastructure.

Why transformers matter

A transformer changes the electricity voltage so power can move safely from power plants to substations, buildings, and machines. Without enough of them, utilities cannot easily connect big new customers to the grid.

AI data centers are especially demanding because they need large, steady power supplies. A single delayed substation transformer can hold up an entire project, even when construction crews and servers are ready.

Wait times now stretch years

Some high-voltage transformer lead times have grown from about one year in 2020 and 2021 to multiple years today. Generator step-up transformer lead times passed 160 weeks by early 2026.

That means developers must order critical grid equipment before many projects are fully built. For a fast-moving AI industry, a three-year equipment clock can turn a planned launch into a costly delay.

Data center demand is surging

The U.S. Department of Energy said data centers used 176 terawatt-hours of electricity in 2023, up from 58 terawatt-hours in 2014. By 2028, that use could reach 325 to 580 terawatt-hours.

That growth is changing utility planning. Data centers accounted for about 4.4% of U.S. electricity use in 2023 and could reach 6.7% to 12% by 2028.

Little-known fact: About 55% of distribution transformers currently operating in the United States are more than 33 years old and are approaching the end of their expected service lives.

The equipment list is growing

Transformers are only one part of the bottleneck. Data centers also need switchgear, circuit breakers, transfer switches, panel boards, and power distribution units.

Wood Mackenzie expects hyperscale padmount transformer demand to rise from 1,573 units in 2025 to 9,395 by 2030. That jump shows why the shortage is not a short-term purchasing problem.

Virginia shows the pressure

Northern Virginia remains the world’s biggest data center hub, and the strain is visible in power forecasts. EIA said PJM expects the Dominion zone, covering Virginia, to see the largest summer peak-demand increase from 2026 through 2030.

That growth is tied largely to data center load. For residents, the concern is whether grid upgrades raise bills while new campuses keep arriving.

Little-known fact: The United States has an estimated 60-80 million distribution transformers. These units lower the electricity voltage before it reaches homes and businesses.

Smaller utilities face tougher choices

Large utilities and hyperscalers can often lock in long-term equipment deals. Smaller utilities may not have the same buying power or access to suppliers.

That creates a local risk. A city-owned utility or a rural cooperative may struggle to obtain transformers for housing, factories, storm repairs, and data center connections simultaneously.

Costs are moving higher

Transformer shortages are also pushing prices up. Wood Mackenzie told Reuters that transformer costs could rise about 4% to 10% over the next year, depending on the type.

Higher equipment costs do not stay inside the data center industry. They can affect utility budgets, construction bids, rate cases, and the price of expanding the grid for everyone else.

Utilities are buying earlier

Roseville Electric Utility in California used to buy equipment about one year ahead of projects. Its CEO told Reuters the utility now works on a three-year timeline.

For some large substation transformers, the wait has pushed Roseville to buy equipment five years in advance. That shows how normal planning cycles are being rewritten by the AI power rush.

Washington is stepping in

Federal regulators are trying to speed up large power connections. On June 18, 2026, FERC ordered six regional grid operators to justify or reform rules for data centers and other large energy users.

The goal is faster access without pushing unfair costs onto regular customers. That will be difficult because faster approvals still cannot instantly create transformers, switchgear, or new power plants.

AI racks raise the stakes

AI servers are becoming much denser than older data center equipment. The IEA says an advanced AI server rack could have peak power demand equal to 65 households by 2027.

That density changes the grid challenge. More power is concentrated into smaller spaces, which raises pressure on transformers, power electronics, cooling systems, and backup equipment.

On-site power is not a full fix

Some U.S. data center developers are turning to on-site natural gas generation to avoid slow grid connections. The IEA says about one-fifth of tracked U.S. projects using that approach have started land clearing or construction.

But that path has its own bottlenecks. Gas turbines are also in short supply, and on-site systems may need 30% to 70% extra capacity to reliably serve variable data center demand.

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New factories may help later

Transformer and grid-equipment manufacturers have announced major U.S. investments intended to expand production capacity. Reuters has reported investments by companies including Hitachi Energy, Siemens Energy, Hyosung HICO, WEG, and GE Vernova.

Siemens Energy announced that its $150 million transformer facility in Charlotte, North Carolina, was expected to begin manufacturing in early 2026. Current public information reviewed for this article does not establish whether production began on that original schedule.

Can Texas balance rapid data center growth with reliable power and fair costs for local communities? Take a closer look at how new rules could shape electricity use, development, and consumer protections across the state.

Should AI data centers receive priority access to scarce grid equipment, or should utilities prioritize protecting homes and local businesses? Share how you think transformer shortages should be handled as America’s AI power demand grows.

This slideshow was made with AI assistance and human editing.

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