--- title: "AI infrastructure race strains US power equipment supply chains" publisher: "Stockmark.IT" author: "Stockmark.IT Website" published: "2026-09-04T06:22:22+00:00" modified: "2026-09-04T06:22:22+00:00" date: 2026-09-04 canonical: "https://stockmark.it/ai-data-center-boom-pushes-u-s-power-equipment-to-the-breaking-point/" category: "AI" categories: ["AI", "China", "Manufacturing"] image: "https://i0.wp.com/stockmark.it/wp-content/uploads/2026/09/ai-infrastructure-race-strains-us-power-equipment-supply.png?fit=1536%2C1024&quality=80&ssl=1" format: "news" language: "en-GB" --- # AI infrastructure race strains US power equipment supply chains **Published:** September 4, 2026 **Author:** Stockmark.IT Website **Categories:** AI, China, Manufacturing **Featured image:** ![AI infrastructure race strains US power equipment supply chains](https://i0.wp.com/stockmark.it/wp-content/uploads/2026/09/ai-infrastructure-race-strains-us-power-equipment-supply.png?fit=1536%2C1024&quality=80&ssl=1) --- The rapid expansion of artificial intelligence data centres in the United States is placing unprecedented pressure on the nation’s power equipment supply chain. As major technology firms commit trillions of dollars to building the infrastructure required for large language models, a critical bottleneck has emerged not in computing chips, but in the physical electrical components necessary to deliver power to these facilities. While market attention has often focused on semiconductor shortages and rising compute costs, a more severe deficit is developing in transformers, substations, and cooling systems. This shortage is threatening to slow the pace of the AI revolution, as manufacturers struggle to match the urgent demand from the tech sector with their production capacities. Transformers, which are essential for converting high-voltage electricity from power plants into lower-voltage current suitable for end consumers, have been in short supply for at least two years. According to Wood Mackenzie, the shortfall in transformers this year stands at 15 per cent. This deficit is compounded by an eight per cent shortage in substations, further highlighting the critical nature of these grid components. The situation is expected to worsen following a recent executive order by President Trump that banned the import of bulk power equipment from China. Industry insiders note that while the public discourse often centres on graphics processing units, professionals within the sector are increasingly concerned about the lead times for generators and transformers. One chief executive of a digital infrastructure service provider told Reuters that questions about equipment availability have become a primary topic of discussion among industry peers. Major manufacturers are reporting significant backlogs that extend years into the future. Hyundai Electric, a leading South Korean firm, informed Reuters that its order backlog covers more than three years, with a substantial portion of its production capacity for major power equipment already secured for that period. The company noted that its order backlog increased by 23 per cent in the first half of the year, reaching $8.5 billion. This trend mirrors the tightness observed in the gas turbine market, where manufacturers are also benefiting from the intense competition among Big Tech firms to outperform rivals in artificial intelligence. Both gas turbines and transformers require considerable time to manufacture, meaning that the physical constraints of production are directly impacting the deployment speed of new AI infrastructure. Cooling systems represent a third critical area of demand surge. As data centres consume more power, they generate significant heat, necessitating robust cooling solutions. A senior analyst at Bank of America explained to Reuters that power and cooling are intrinsically linked, with higher power usage requiring proportionally more cooling capacity. A recent report by McKinsey indicated that this surge in demand for cooling systems would likely lead to further supply tightness. Manufacturers face physical limitations that prevent them from scaling up production as rapidly as their clients desire. The inability to respond quickly to demand is a central issue, as the tech sector seeks to have infrastructure ready immediately, a timeline that is incompatible with the manufacturing realities of heavy electrical equipment. Wood Mackenzie projects that these technology clients will absorb as much as 40 per cent of the power equipment supply in the United States over the coming years. The consultancy warned earlier this year that this concentration of demand could precipitate a supply chain crisis. The core of the problem lies in the mismatch between urgent demand and the inability to rush supply. Manufacturers are hesitant to expand capacity aggressively because they cannot be certain that the current high rate of demand will be sustained over the long term. This uncertainty, combined with the physical time required to produce complex electrical components, creates a fragile environment where the pace of AI deployment may be constrained by the limits of traditional industrial manufacturing rather than by software or chip availability. --- **Original URL:** https://stockmark.it/ai-data-center-boom-pushes-u-s-power-equipment-to-the-breaking-point/ *Created by [WP Markdown Endpoint](https://wpmarkdownendpoint.com/)*