AI点燃史无前例的“电力需求周期”! 亚洲电网设备与储能股票站上超级风口

Core Insights - Citi's report highlights that the rapid expansion of AI data centers and the acceleration of global electrification will lead to a significant increase in global electricity demand, potentially creating a critical bottleneck for the expansion of AI technology and data centers [1] - The report emphasizes that the competition in AI is fundamentally a race for AI computing infrastructure, which relies heavily on a stable and large electricity supply [1] - Goldman Sachs has revised its forecast for global data center electricity demand by 2030, predicting it will exceed 945 terawatt-hours (TWh), driven primarily by AI applications [2] Group 1: Electricity Demand Drivers - The combination of AI data centers, electrification, and renewable energy integration is identified as the "triple driver" of electricity demand [3] - The demand for high-voltage transformers is significantly increasing due to AI data centers, grid reinforcement, and renewable energy integration [3] - The report indicates that the electrification and renovation of aging power grids will also create substantial demand for grid equipment [4] Group 2: Investment Opportunities - Asian markets are expected to benefit from a bull market trajectory in grid equipment and large-scale storage stocks, particularly high-voltage and ultra-high-voltage transformers [5] - Large-scale energy storage systems (ESS) will benefit from grid upgrades, renewable energy fluctuations, and backup power needs for data centers [6] - Companies like Sungrow Power Supply and Chung Hsin Electric are highlighted as key beneficiaries, with potential stock price increases of approximately 32% and 35% respectively [6]