AI 抢电时代:新能源如何把电力交付变成全球竞争力
Sou Hu Cai Jing·2026-01-27 00:16

Core Insights - The article discusses the rising importance of electricity supply in the context of AI expansion, highlighting that the focus has shifted from merely generating power to ensuring reliable delivery and capacity [1][6]. Group 1: AI Electricity Demand Surge - The demand for electricity from data centers is expected to grow significantly, with the International Energy Agency (IEA) projecting global data center electricity consumption to reach approximately 415 TWh in 2024 and potentially rise to about 945 TWh by 2030, nearly doubling [4]. - This growth is characterized by structural changes, driven by the expansion of computing infrastructure, increased power density of devices, and longer operational hours [4]. Group 2: Supply Constraints - The key issue is not a global electricity shortage but rather the concentration of demand at specific grid nodes, leading to challenges in connection and delivery [5]. - In regions like Northern Virginia, new data center loads face lengthy queue and expansion periods for grid connection, with some studies indicating that connection research could take over 10 years [5]. Group 3: Capital Strategies - Companies are shifting their approach to electricity from a cost item to a strategic limit on expansion, locking in deliverable capacity through long-term power purchase agreements (PPAs) and bundled supply arrangements [7]. - The combination of high demand growth, supply-side constraints, and capital strategies indicates that electricity has become a primary constraint for AI expansion, with structural and sustainable implications [7]. Group 4: Repricing of Electricity - The trading logic of electricity is evolving, with a focus on long-term stability and deliverable capacity rather than just price optimization [8]. - Companies like Meta and Google are entering into long-term agreements to secure stable power supplies, emphasizing the importance of reliability and predictability in electricity delivery [8][9]. Group 5: Investment Pathways in New Energy - The article outlines three main investment pathways: renewable energy and storage, stable low-carbon power sources, and the integration of energy with AI infrastructure [13][14]. - The focus is on transforming electricity from a commodity into a deliverable capability, with an emphasis on ensuring that power can be reliably accessed and delivered [13]. Group 6: Collaboration and Market Entry - Chinese renewable energy companies are encouraged to form partnerships with local entities to enhance project delivery capabilities and meet the rigid electricity demands of developed markets [15][18]. - This collaborative approach aims to leverage China's manufacturing and delivery strengths while addressing local regulatory and operational challenges [16].

AI 抢电时代:新能源如何把电力交付变成全球竞争力 - Reportify