虎嗅APP·2026-01-26 13:22Core Viewpoint - The article emphasizes that the real bottleneck for the future of artificial intelligence (AI) is not computational power but electrical power, particularly the availability of large power transformers, which are crucial for the operation of AI data centers and energy infrastructure [4][6]. Group 1: Current Challenges in the U.S. and Europe - In the U.S., there is a significant shortage of large power transformers (LPTs), with an average delivery time of 128 weeks for standard transformers and 144 weeks for generator step-up transformers (GSUs) [6][8]. - The decline of U.S. manufacturing capabilities since the 1980s has led to over 80% of large power transformers being imported, primarily from China [7]. - European countries face similar issues, with many renewable energy projects unable to connect to the grid due to a lack of suitable transformers, highlighting a critical lag in the upgrade of transmission systems [10][11]. Group 2: The Role of China in Transformer Manufacturing - China has developed a complete and efficient transformer manufacturing supply chain, from raw materials to assembly, making it a key player in the global market [12][13]. - Chinese manufacturers can deliver large transformers in 10 to 14 months, significantly faster than their U.S. and European counterparts, which can take up to three years [13]. - The demand for Chinese transformers is increasing globally, as countries like the U.S. and those in Europe are forced to rely on Chinese imports despite political tensions and tariffs [15][18]. Group 3: Strategic Implications - The reliance on Chinese transformers reveals the limitations of "decoupling" strategies in critical infrastructure sectors, as the need for reliable electrical supply outweighs political considerations [15][18]. - The article suggests that the ability to produce essential infrastructure equipment domestically is a form of strategic deterrence in a world marked by supply chain vulnerabilities and geopolitical conflicts [18].