Hardware supply constraints across memory, storage, CPUs, batteries, and transformers are tightening AI data-center supply chains as projects divert capacity from consumer electronics.

The bottleneck lies in electrical components manufactured abroad—batteries, transformers, and circuit breakers—that, while a small share of cost, are critical to meeting construction timelines.

US manufacturers are struggling to meet demand, pushing dependency on imports, notably from China and other suppliers.

The broader energy transition, with electrified heating and EVs, continues to strain power grids and amplifies delays in data-center projects.

Buyers are sourcing from global suppliers to mitigate shortages, with Canada, Mexico, and South Korea becoming major providers of high-power transformers for AI data centers.

Unresolved supply constraints could ripple through the tech and consumer electronics markets, affecting prices and availability.

Geopolitical tensions and anticipated high-level talks between the US and China could further stress supply chains if tensions flare up.

Even with over $650 billion in investments from Alphabet, Amazon, Meta, and Microsoft this year, reshoring hasn’t closed the shortfall, and batteries remain heavily imported from China (over 40%).

Reports from Tom's Hardware and Bloomberg via Sightline Climate frame the risk to AI data-center expansion from power infrastructure bottlenecks and Chinese-origin components.

Reliance on Chinese electrical equipment—transformers, switchgear, batteries—continues to create fragility in the supply chain despite some diversification.

Industry insiders warn that ongoing constraints could undermine the broader AI build-out and affect the US stance in the global AI race.

Nearly half of planned US data centers by 2026 face delays or cancellations as electrical infrastructure components fall short, threatening AI capacity expansion.