Di Yi Cai Jing·2026-02-09 11:49Group 1 - The rapid development of AI has led to a surge in electricity demand, resulting in a strong performance in the power grid equipment sector since the beginning of 2026, with a cumulative increase of nearly 21% [1] - The power equipment theme index rose nearly 3% on February 9, 2026, with significant gains in electrical equipment, thermal power, and wind power indices [1] - The surge is attributed to a combination of the State Grid's 4 trillion yuan fixed asset investment plan during the 14th Five-Year Plan, global "electricity anxiety" driven by AI computing power, and urgent needs for grid upgrades in Europe and the US [1][2] Group 2 - In the AI investment chain, electricity is identified as the highest certainty factor, with constraints on funding and energy being critical issues [2] - The International Energy Agency (IEA) projects that global data center electricity consumption will double to 945 terawatt-hours by 2030, driven by data center expansion and AI technology development [2] - The State Grid's announcement of a 4 trillion yuan investment plan for the 14th Five-Year Plan, a 40% increase from the previous plan, has directly stimulated the power equipment sector [2] Group 3 - Domestic gas turbine technology has made significant breakthroughs and is beginning to export to markets like the Middle East, positioning China's capacity as a potential supplement to the US's electricity shortfall [3] - China holds a dominant position in the global power equipment sector, making power equipment and technology a highly certain investment direction amid the AI wave [3] Group 4 - Despite electricity becoming a new hard constraint, the long-cycle trend of the AI computing power industry chain is expected to continue [4] - The investment logic is shifting as the industry evolves, with a strong capital expenditure forecast for AI-related sectors from 2026 to 2030, particularly in areas facing capacity constraints [4] - Concerns about an "AI bubble" are considered premature, as the technology continues to advance and leading global tech companies remain at reasonable valuation levels [4] Group 5 - The long-term value of the computing power sector is viewed positively, as the AI industry transitions from technological penetration to large-scale performance realization [5] - The rapid iteration of industry chain technology and the narrowing supply chain mean that only a limited number of companies can enter the global core customer system, enhancing the competitive advantage of leading firms [5]