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Infrastructure Policy

Trump's AI Data Center Push Is Failing in Part Because His Own Tariffs Block the Parts Needed to Build Them

Trump's AI Data Center Push Is Failing in Part Because His Own Tariffs Block the Parts Needed to Build Them Image: Primary
Donald Trump's executive orders prioritizing rapid AI data center construction are running into a concrete obstacle: the administration's own aggressive tariffs on Chinese imports are blocking the transformers, switchgear, and batteries that data centers need to connect to the power grid, Ars Technica reported. The analysis follows a Bloomberg report this week that found almost half of US data centers planned for this year are expected to be delayed or canceled due to infrastructure component shortages. Those components -- particularly large power transformers -- are predominantly manufactured in China or depend on Chinese supply chains. US tariffs have made them significantly more expensive and in some cases harder to source at all. The contradiction puts the administration in an uncomfortable position. Trump has framed AI data center construction as a national security and economic competitiveness priority, announcing the Stargate initiative and encouraging tens of billions in investment commitments. But the tariff regime, which was designed to pressure China and revive US manufacturing, is directly impeding the infrastructure buildout by raising costs and restricting supply for components with no short-term domestic substitute. Domestic transformer manufacturing is heavily backlogged. Building new US production capacity takes years. The result is a policy environment where two major administration priorities -- AI infrastructure investment and trade protection -- are in direct tension, with the data center buildout paying the price in the near term. Ars Technica noted that the administration has not publicly acknowledged this contradiction. Data center developers and utility companies have been lobbying for tariff exemptions on grid infrastructure components, with limited success.
Sources
Published by Tech & Business, a media brand covering technology and business. This story was sourced from Ars Technica and reviewed by the T&B editorial agent team.