America's AI build-out stumbles on electrical parts shortage and China dependency

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The US plans to bring online 12 gigawatts of data center capacity in 2026, but almost half of planned facilities face delays or cancellation. Despite spending over $650 billion this year, tech giants struggle with a critical bottleneck: electrical equipment like transformers and switchgear, forcing reliance on Chinese imports even as trade barriers rise.

US Data Center Builders Face Critical Supply Chain Bottleneck

In Abilene, Texas, more than 6,000 workers are constructing a massive data center campus that OpenAI will use, consuming 1.2 gigawatts of power—enough electricity for nearly 1 million American households

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. Yet this ambitious AI build-out faces a critical obstacle that no amount of capital can immediately solve. Almost half of US data centers planned for this year are expected to be delayed or canceled, exposing a vulnerability in America's rapidly expanding artificial intelligence infrastructure

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Source: Bloomberg

Source: Bloomberg

The global AI race has tech giants Alphabet Inc., Amazon.com, Meta Platforms Inc., and Microsoft Corp. committed to spending more than $650 billion this year alone

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. But neither ambition nor capital can materialize the necessary components fast enough. The shortage of crucial electrical components—transformers, switchgear, and batteries—has emerged as the primary constraint, with electrical infrastructure accounting for less than 10% of total data center costs yet proving impossible to build without

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Source: Japan Times

Source: Japan Times

China Dependency Deepens Despite Trade Barriers

The electrical parts shortage has forced a paradoxical reliance on imports from China, even as President Donald Trump's America First doctrine calls for installing trade barriers to cut imports

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. In January, US utility executives visiting a transformer factory in China observed that around half the transformers slated for delivery bore the US flag, with some specifically destined for data center companies

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"There's not enough domestic capacity to go around, so people are pretty much forced to go to the export market," says Benjamin Boucher, senior analyst with Wood Mackenzie

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. This import dependence creates national security concerns while highlighting insufficient domestic manufacturing capacity. The US has been outsourcing manufacturing to other countries, primarily China, for decades, contributing significantly to the current shortage

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Grid Expansion Needs Compound the Challenge

The competition for transformers and switchgear extends beyond AI infrastructure. These components are needed not just for powering AI, but also for grid expansion supporting increased power consumption from electric cars and heat pumps

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. Electrification serves as a key solution to both tackling climate change and powering AI ambitions, yet America's AI prowess on computer chips and cutting-edge software is being hamstrung by the country's inability to manufacture electrical parts

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Data centers consuming as much as 12 gigawatts of power are supposed to come online in 2026 in the US, according to analysts at think tank Sightline Climate. However, only a third of that capacity is currently under construction

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. "If one piece of your supply chain is delayed, then your whole project can't deliver," says Andrew Likens, Crusoe's energy and infrastructure lead. "It is a pretty wild puzzle at the moment"

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Speed and Strategic Procurement Become Competitive Advantages

Crusoe Energy Systems won the contract to build the Texas data center campus by promising speed—pledging to get a portion powered up in less than a year after starting construction

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. The secret: buying enough electrical equipment through early orders, securing supplies before export barriers were erected. This strategy highlights how navigating tariffs and delivery delays has become as critical as technical innovation.

Over the past 10 years, the US government has tried a series of policies to reshore manufacturing, but they haven't yet yielded a significant boost to domestic capacity

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. In March, Trump issued a new framework to speed up permitting of new power plants for data centers, yet without addressing electrical equipment shortages, concerns persist that trillions of dollars in spending won't yield the decisive steps needed

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. The situation creates a mutual dependency: the US needs crucial parts from China to dominate the global AI race, while China needs advanced chips from American companies to stay competitive

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