超级周期！资金持续流入赛道

Core Insights - The main issue facing AI development is not chip supply but rather the lack of sufficient electricity to support GPU operations, as highlighted by Microsoft CEO Satya Nadella [1][7][11] - The demand for electricity is surging due to the rapid expansion of data centers driven by AI, leading to significant implications for the energy sector [10][12][15] Group 1: Electricity Demand and AI - The AI competition is evolving into an electricity competition, with the explosion of AI computing power driving a new cycle of electricity demand growth in North America [10][12] - OpenAI has urged the U.S. government to significantly increase investments in electricity infrastructure, suggesting a target of adding 100 GW of generation capacity annually [11][12] - Data centers are projected to account for 8.1% of total U.S. electricity consumption by 2030, up from 4.2% in 2024, indicating a substantial increase in demand [15][17] Group 2: Market Trends and Investment Opportunities - The global nuclear fusion market is expected to exceed $40 trillion by 2050, indicating a long-term growth opportunity in energy technology [4][7] - The electric grid investment cycle is currently favorable, with significant growth in transformer exports from China, which increased by 52.73% year-on-year [20] - The only electric grid equipment ETF (159326) has seen a significant inflow of capital, with a recent increase in size exceeding 5.27 billion, reflecting strong investor interest [1][22] Group 3: Technological Innovations - Companies are exploring advanced power supply solutions, such as the 800V direct current architecture proposed by NVIDIA, to enhance efficiency in data centers [18][24] - Solid-state transformers (SST) are being recognized as ideal for high power density applications, potentially reducing peak demand by about 5% [18][19] - Domestic companies are rapidly catching up in the SST supply chain, with firms like Jinpan Technology and Sifang Co. making significant strides in overseas markets [19][20]