America’s race to dominate AI is being throttled by a hard truth conservatives have warned about for decades: we offshored the basics, and now critical power gear for U.S. data centers is increasingly coming from China.
Quick Take
- Hyperscalers plan to pour more than $650 billion into data centers in 2026, but electrical bottlenecks are delaying real construction.
- Imports of high-power transformers from China surged from fewer than 1,500 in 2022 to more than 8,000 through October 2025.
- Lead times for key equipment have stretched from roughly 24–30 months to as long as five years, putting projects “on paper” at risk.
- Officials have elevated batteries from a climate talking point to a national security and AI leadership priority, while the defense sector still relies on foreign components.
China’s “Unsexy” Parts Are Now a U.S. Strategic Vulnerability
U.S. policy debates fixate on chips, but the AI build-out is colliding with a more basic constraint: electricity hardware. It show that transformers, switchgear, and industrial batteries—heavy, expensive, and slow to produce—are in short supply domestically. As demand spikes, Chinese suppliers have filled gaps in categories like high-voltage transformers and batteries. The result is an uncomfortable dependency: Washington restricts China’s access to advanced chips while U.S. build-outs rely on Chinese electrical components.
That dependence is not theoretical. U.S. imports of high-power transformers from China climbed from fewer than 1,500 units in 2022 to more than 8,000 through October 2025, according to reporting on the supply chain shift. At the same time, China’s share of certain battery categories is reported at more than 40%, creating another choke point. For voters who remember “supply chain resilience” becoming a slogan, the numbers look like the opposite of resilience.
Five-Year Lead Times Turn AI Ambitions into Paper Projects
Developers can buy land, secure fiber, and line up financing, but they cannot energize a data center without transformers and switchgear. It indicates standard lead times of roughly 24–30 months ballooned to as long as five years for some critical equipment. One developer summarized the reality plainly: if one link in the chain slips, the whole project slips. That reality is a direct constraint on how fast AI capacity can come online, regardless of corporate spending headlines.
That bottleneck helps explain why so many AI-era projects are announced but not built. Hyperscalers targeted about 12 gigawatts of new data-center capacity for 2026, yet only around 4 gigawatts were reported as actively under construction. Data center development still clusters in areas with cheap power, land, and fiber, but even those advantages cannot shortcut the electrical equipment shortage. If the grid-side hardware is backordered, rural counties and exurban industrial parks do not get the promised tax base or jobs on schedule.
Domestic Expansion Plans Exist, but They Move on Industrial Time
Two major industrial moves illustrate both progress and limits. GE Vernova’s reported $5.3 billion acquisition of Prolec and Siemens Energy’s reported $1 billion U.S. expansion signal that industry sees the demand as real. The problem is timing: factories, tooling, and skilled labor pipelines cannot be conjured overnight. Even large investments take years to turn into transformers on pallets and switchgear in crates. For Americans tired of government “announce-a-plan” politics, this is the private-sector version of the same constraint: physics beats press releases.
Alternative suppliers like Canada, Mexico, and South Korea remain important, but it indicates they cannot fully absorb the sudden surge in U.S. demand. That leaves decision-makers balancing security concerns with build-out urgency. Conservatives who prefer strong domestic production over globalist dependence will recognize the bind: if Washington tightens trade restrictions without a replacement supply, projects can stall; if it looks the other way, China retains leverage over infrastructure that increasingly defines economic competitiveness.
National Security Stakes Go Beyond Big Tech
The electrical supply chain problem does not stop at cloud services. It points to defense exposure as well, including claims that U.S. weapon systems contain foreign parts across platforms and that thousands of battery components trace back to overseas sources. Separate reporting indicates the White House has held high-level discussions on battery supply chains and has framed batteries as critical for AI leadership and national defense—not just climate objectives. That shift matters because it anchors the issue in constitutional government’s core duty: national defense.
Looking ahead, projections sketch a wide range: a base case of roughly 60–75 gigawatts of new data-center load online by 2030, an optimistic 80–100 gigawatts if supply chains accelerate, and a pessimistic outcome involving cancellations and slower AI progress if trade restrictions tighten or export controls harden. The conservative takeaway is straightforward: industrial capacity is national power. If America wants to avoid endless overseas entanglements while staying strong at home, it cannot keep outsourcing the electrical backbone of its own technology future.
Sources:
America’s AI Build-Out Hinges on Chinese Electrical Parts
America’s Data Center Boom Must Not Depend on Chinese Batteries


















