The giant hardware bottleneck behind AI power

Introduction

The shortage of large electrical transformers has become one of the least visible but most important constraints on the expansion of AI infrastructure. New AI data centres are often discussed in terms of advanced chips, massive capital spending and electricity demand. Yet many projects face a more basic problem: they cannot obtain the equipment needed to connect large amounts of power to the site.

This matters because the most ambitious visions of AI abundance depend on vast increases in computing capacity. If AI is to accelerate scientific research, medicine, engineering, education and robotics at civilisational scale, then the physical systems that deliver electricity must expand alongside computation. Increasingly, one of the slowest parts of that expansion is not software, chips or even power generation. It is the transformer industry: a specialised manufacturing sector with long lead times, limited production capacity and growing global demand.[IEA Blob Storage]iea.blob.core.windows.netIEA Blob Storage Key Questions on Energy and AIIEA Blob StorageKey Questions on Energy and AI - Microsoft.NETApril 23, 2026 — 2 Apr 2026 — In the IEA's 2025 report Energy and AI, we h…Published: April 23, 2026

In practical terms, a transformer shortage means a data centre can be financed, permitted and partly built, yet still wait years for the equipment required to energise the site. That turns transformers into a physical choke point for AI growth.

Why large transformers are hard to buy quickly

A transformer is a device that changes voltage levels so electricity can move efficiently through the grid and then be delivered safely to customers. Modern power systems depend on them at every stage, from generation plants to transmission networks, substations and large industrial facilities.

The transformers creating the biggest bottleneck for AI are not the small units mounted on local streets. They are large power transformers and generator step-up transformers, sometimes weighing hundreds of tonnes and built to highly specific technical requirements. Unlike many mass-produced industrial products, these machines are often customised for particular voltage levels, grid conditions and site designs.[The Department of Energy's Energy.gov]energy.govThe Department of Energy's Energy.gov Large Power Transformer ResilienceThe Department of Energy's Energy.govLarge Power Transformer ResilienceOctober 7, 2024 — 5 Jul 2024 — The susceptibility of LPTs to emerg…Published: October 7, 2024

Several factors have pushed lead times dramatically higher:

• Demand from data centres has surged alongside AI expansion.[iea.org]iea.orgenergy demand from aiEnergy demand from AIFrom 2024 to 2030, data centre electricity consumption grows by around 15% per year, more than four times faster…
• Utilities are simultaneously upgrading ageing grids.
• Renewable-energy projects require additional transmission equipment.
• Electrification of transport and industry is increasing power-system investment.
• Manufacturing capacity takes years to expand because factories, specialised tooling and skilled labour are themselves scarce.[Reuters]reuters.comUS power transformer buyers scramble for imports, factory slots The U.Sis facing a severe shortage of power transformers, which is hindering the expansion and modernization of its electric grid. Driven by a s…[Reuters]reuters.comGrid equipment makers invest in US to ease supply shortage Due to a surge in U.Sdemand for power transmission equipment, major grid component manufacturers are heavily investing in domestic production to address suppl…

The result is an industry under strain from multiple directions at once.

The US National Infrastructure Advisory Council reported lead times ranging from roughly 80 to 210 weeks for major transformers.[CISA]cisa.govAddressing the Critical Shortage of Power Transformers to…Large transformers, both substation power and generator step-up transfor…

Industry reporting shows that equipment which might once have been delivered within months can now require waits of two, three or even four years. Wood Mackenzie data cited by Reuters shows average delivery times around 128 weeks for large power transformers and roughly 143 weeks for generator step-up units.[Reuters]reuters.comUS power transformer buyers scramble for imports, factory slots The U.Sis facing a severe shortage of power transformers, which is hindering the expansion and modernization of its electric grid. Driven by a s…

This is unusually important because transformer manufacturing cannot be expanded overnight. New facilities require specialised steel-processing equipment, testing infrastructure, engineering expertise and long supplier chains for copper, electrical steel, insulation materials and high-voltage components. Hitachi Energy, the world’s largest transformer manufacturer, has warned that building additional capacity is itself a multi-year process.[Financial Times]ft.comCEO Andreas Schierenbeck stresses the difficulty in swiftly increasing production capacity, which could delay critical infrastructure pro…

How equipment lead times reshape data-centre schedules

A common assumption is that the critical path for AI infrastructure runs through chip fabrication. In reality, power equipment can become the slower constraint.

A hyperscale AI campus may require hundreds of megawatts of electricity, with some proposed developments approaching or exceeding gigawatt scale. Supplying that power requires transformers both inside the facility and throughout the surrounding grid infrastructure. If even one key component is unavailable, commissioning can be delayed.[IEA Blob Storage]iea.blob.core.windows.netIEA Blob Storage Key Questions on Energy and AIIEA Blob StorageKey Questions on Energy and AI - Microsoft.NETApril 23, 2026 — 2 Apr 2026 — In the IEA's 2025 report Energy and AI, we h…Published: April 23, 2026

This creates a mismatch between the technology industry and the electrical-equipment industry.

AI companies often operate on timelines measured in quarters. Transformer manufacturers operate on timelines measured in years.

Financially, this changes project planning. Electrical infrastructure may represent a relatively small share of total data-centre spending, but it can determine whether the entire facility opens on schedule. Bloomberg reporting cited by multiple industry sources suggests that shortages of transformers, switchgear and related equipment have become serious enough to delay a significant share of planned US data-centre capacity.[Tom's Hardware]tomshardware.comdata center developments are expected to be delayed or canceled due to severe shortages in power infrastructure components, despite over…

The consequence is that AI expansion increasingly depends on supply chains that were not originally built for a race to deploy civilisation-scale computing infrastructure.

The unusual economics of the transformer bottleneck

One reason transformer shortages attract less public attention than chip shortages is that transformers are not especially glamorous products. They are mature industrial equipment rather than frontier technology.

Yet from an infrastructure perspective, their importance can be greater than their cost.

A single advanced AI cluster may contain tens of thousands of GPUs worth hundreds of millions of pounds. Those chips become useless if the facility cannot obtain reliable electrical power. In that sense, a transformer can determine the value of vastly more expensive equipment downstream.

This creates a striking asymmetry:

The imbalance has produced behaviours more commonly associated with scarce strategic resources. Developers increasingly compete for factory production slots, place orders years in advance and search globally for available capacity. Reuters reports that buyers are seeking imports from countries including South Korea and Turkey while attempting to secure manufacturing positions long before projects are completed.[Reuters]reuters.comGrid equipment makers invest in US to ease supply shortage Due to a surge in U.Sdemand for power transmission equipment, major grid component manufacturers are heavily investing in domestic production to address suppl…

In effect, transformer manufacturing capacity has become a strategic asset in the AI build-out.

Why AI demand arrives on top of existing grid pressures

It would be misleading to view transformer shortages as a problem created solely by AI.

The industry was already facing pressure from several overlapping transitions:

• Replacement of ageing grid infrastructure.
• Expansion of renewable-energy projects.
• Electrification of transport.
• Industrial reshoring and factory construction.
• Rising electricity demand in some regions.[NLR Docs]docs.nlr.govDocs Major Drivers of Long-Term Distribution Transformer DemandNLR DocsMajor Drivers of Long-Term Distribution Transformer DemandFebruary 23, 2024 — Utilities are experiencing extended lead times for…Published: February 23, 2024[Reuters]reuters.comGrid equipment makers invest in US to ease supply shortage Due to a surge in U.Sdemand for power transmission equipment, major grid component manufacturers are heavily investing in domestic production to address suppl…

AI arrives on top of these trends rather than replacing them.

This helps explain why shortages have proved persistent. Even if AI demand slowed temporarily, utilities and energy developers would still require enormous quantities of electrical equipment. Conversely, even if transformer production grows, AI demand may continue growing rapidly enough to absorb much of the new capacity.

The International Energy Agency projects that global data-centre electricity consumption could roughly double by 2030, while electricity demand from AI-focused facilities grows even faster.[IEA]iea.orgenergy demand from aiEnergy demand from AIFrom 2024 to 2030, data centre electricity consumption grows by around 15% per year, more than four times faster…

That does not mean transformers become the only bottleneck. Land, transmission lines, substations, permitting and generation capacity all matter as well. But transformer shortages are notable because they sit at the intersection of many constraints simultaneously.

Whether stockpiling and standardisation can reduce delays

Developers are increasingly experimenting with ways to reduce dependence on long equipment queues.

One response is simple pre-purchasing. Rather than waiting until construction is advanced, companies order transformers years before they are required. This can reduce schedule risk but favours large firms with substantial capital reserves. Smaller developers may struggle to compete with hyperscalers capable of reserving manufacturing capacity far in advance.[Reuters]reuters.comGrid equipment makers invest in US to ease supply shortage Due to a surge in U.Sdemand for power transmission equipment, major grid component manufacturers are heavily investing in domestic production to address suppl…

Another approach is standardisation.

Part of the challenge is that many transformers are highly customised. Industry observers note that the sector contains an enormous variety of configurations, making manufacturing less scalable than it might otherwise be. More standard designs could allow longer production runs, simpler inventories and faster delivery.[Northfield Transformers]northfieldtransformers.comNorthfield Transformers Data Center Expansion is Reshaping Transformer DemandNorthfield TransformersData Center Expansion is Reshaping Transformer Demand…August 1, 2025 — 1 Aug 2025 — According to Wood Mackenzie…Published: August 1, 2025

Some companies are also exploring:

None of these measures fully removes the constraint. They mostly redistribute or manage it.

What this means for the larger AI abundance story

Transformer shortages are a reminder that AI progress ultimately depends on physical systems.

The most optimistic visions of AI bloom often focus on software intelligence becoming dramatically more capable. Yet even if advanced AI accelerates science, automates engineering and improves productivity, those gains still have to flow through factories, supply chains, electrical networks and industrial equipment.

That does not invalidate the abundance case. In some ways it reinforces it. If AI succeeds in accelerating engineering, materials science, manufacturing and infrastructure planning, it could eventually help solve many of the bottlenecks currently slowing its own deployment.

The key point is that intelligence alone is not enough. A future in which AI helps humanity achieve far greater prosperity, scientific capability and long-term flourishing requires expansion of the physical world as well as the digital one.

For now, one of the clearest examples is surprisingly mundane: a shortage of giant transformers that can take years to build, yet determine whether the next generation of AI infrastructure can actually switch on.[CISA]cisa.govAddressing the Critical Shortage of Power Transformers to…Large transformers, both substation power and generator step-up transfor…[The Department of Energy's Energy.gov]energy.govThe Department of Energy's Energy.gov Large Power Transformer ResilienceThe Department of Energy's Energy.govLarge Power Transformer ResilienceOctober 7, 2024 — 5 Jul 2024 — The susceptibility of LPTs to emerg…Published: October 7, 2024

Amazon book picks

Further Reading

Books and field guides related to The giant hardware bottleneck behind AI power. Use these as the next step if you want deeper reading beyond the article.

Book

Material World

By Ed Conway

Best broad fit for transformer shortages because it explains hidden industrial supply-chain constraints.

See on Amazon

Book

The Grid

By Gretchen Bakke

Explains why transformers and substations are essential parts of power delivery rather than minor components.

See on Amazon

Book

How the World Really Works

By Vaclav Smil

Frames transformer shortages as part of the broader physical constraints on AI abundance.

See on Amazon

Book

The Rare Metals War

By Guillaume Pitron

Connects electrical hardware shortages to mineral supply chains and industrial dependence.

See on Amazon

Browse more on Amazon:Material WorldThe GridHow the World Really Works

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Endnotes

1. Source: reuters.com
Title: US power transformer buyers scramble for imports, factory slots The U.S
Link:https://www.reuters.com/business/energy/us-power-transformer-buyers-scramble-imports-factory-slots–reeii-2026-05-11/

2. Source: energy.gov
Title: The Department of Energy’s Energy.gov Large Power Transformer [Resilience]({{ ‘resilience/’ | relative_url }})
Link:https://www.energy.gov/sites/default/files/2024-10/EXEC-2022-001242%20-%20Large%20Power%20Transformer%20Resilience%20Report%20signed%20by%20Secretary%20Granholm%20on%207-10-24.pdf

Published: October 7, 2024

3. Source: cisa.gov
Link:https://www.cisa.gov/sites/default/files/2024-09/NIAC_Addressing%20the%20Critical%20Shortage%20of%20Power%20Transformers%20to%20Ensure%20Reliability%20of%20the%20U.S.%20Grid_Report_06112024_508c_pdf_0.pdf

4. Source: reuters.com
Title: Grid equipment makers invest in US to ease supply shortage Due to a surge in U.S
Link:https://www.reuters.com/business/energy/grid-equipment-makers-invest-us-ease-supply-shortage–reeii-2025-12-02/

5. Source: iea.org
Title: energy demand from ai
Link:https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai

6. Source: docs.nlr.gov
Title: Docs Major Drivers of Long-Term Distribution Transformer Demand
Link:https://docs.nlr.gov/docs/fy24osti/87653.pdf

Published: February 23, 2024

7. Source: iea.org
Link:https://www.iea.org/news/data-centre-electricity-use-surged-in-2025-even-with-tightening-bottlenecks-driving-a-scramble-for-solutions

8. Source: iea.blob.core.windows.net
Title: IEA Blob Storage Key Questions on Energy and AI
Link:https://iea.blob.core.windows.net/assets/3179f7f8-01f6-4dd6-bffa-c9f7b73f1dc9/KeyQuestionsonEnergyandAI.pdf

Published: April 23, 2026

9. Source: ft.com
Link:https://www.ft.com/content/a0fa2e61-b684-42b7-bd12-6b9d7c28285c

10. Source: tomshardware.com
Link:https://www.tomshardware.com/tech-industry/artificial-intelligence/half-of-planned-us-data-center-builds-have-been-delayed-or-canceled-growth-limited-by-shortages-of-power-infrastructure-and-parts-from-china-the-ai-build-out-flips-the-breakers

11. Source: northfieldtransformers.com
Title: Northfield Transformers Data Center Expansion is Reshaping Transformer Demand
Link:https://northfieldtransformers.com/blog/data-center-expansion-reshaping-transformer-demand/

Published: August 1, 2025

Additional References

12. Source: linkedin.com
Link:https://www.linkedin.com/posts/blueprint-data-centers_datacenters-digitalinfrastructure-supplychain-activity-7449532694079889408-g_1s

13. Source: pv-magazine-usa.com
Link:https://pv-magazine-usa.com/2026/05/11/u-s-transformer-market-faces-severe-supply-constraints-as-lead-times-extend-to-four-years/

Published: May 2026

14. Source: linkedin.com
Link:https://www.linkedin.com/posts/powermagazine_transformers-in-2026-shortage-scramble-activity-7418307051530924032-acD5

15. Source: evernewtransformer.com
Title: 2025 global transformer industry outlook supply shortages intensify
Link:https://evernewtransformer.com/2025-global-transformer-industry-outlook-supply-shortages-intensify/

16. Source: x.com
Link:https://x.com/soicfinance/status/2043066511074693430?lang=en

17. Source: utilitydive.com
Title: reshore electrical equipment backlogs transformer breaker nema
Link:https://www.utilitydive.com/news/reshore-electrical-equipment-backlogs-transformer-breaker-nema/749265/

Published: May 2025

18. Source: brookings.edu
Title: global energy demands within the ai regulatory landscape
Link:https://www.brookings.edu/articles/global-energy-demands-within-the-ai-regulatory-landscape/

19. Source: industrialsage.com
Title: power transformer lead times us grid shortage
Link:https://www.industrialsage.com/power-transformer-lead-times-us-grid-shortage/

Published: May 2026

20. Source: marketreportanalytics.com
Title: Projecting a 6.3% CAGR, this analysis offers
Link:https://www.marketreportanalytics.com/reports/data-center-transformer-81619

Published: May 2026

21. Source: facebook.com
Link:https://www.facebook.com/Infineon/posts/electricity-demand-is-changing-fast-from-ai-data-centers-and-ev-charging-to-rene/1460578216106812/