市场策略报告：全球人工智能算力基建持续放量，AI向端侧、能源延伸-20250917

Core Insights - The report highlights the continuous expansion of global AI computing infrastructure and the push for domestic AI industry chain localization in China [12][13] - It emphasizes the strong performance of cloud computing leaders, with Oracle reporting a total revenue of $14.926 billion for Q1 FY2026, a year-on-year increase of 12.17%, and cloud revenue of $7.186 billion, up 27.80% [12] - The report notes significant investments in data centers, with OpenAI and NVIDIA committing billions to UK projects, and the establishment of the Beijing Data Group [12] - The rapid release of AI large models is noted, including Alibaba Cloud's Qwen3-Next and Ant Group's gPass technology framework [12][13] - The report discusses the acceleration of edge AI applications, with Qualcomm and Google expanding their partnership for automotive AI solutions [12][13] Industry Developments - The report outlines the deep integration of AI with the energy sector, supported by new policies from the National Development and Reform Commission and the National Energy Administration [13] - It sets a target for new energy storage capacity to reach 180 million kilowatts by 2027, with direct investment of approximately 250 billion yuan [13] - The focus on lithium-ion battery storage technology remains, while solid-state batteries and other technologies are expected to diversify applications [13] Investment Recommendations - The report suggests focusing on emerging industries such as photovoltaics, lithium batteries, and new energy vehicles, particularly in the context of supply-side reforms and demand-side resonance [14] - It highlights the importance of monitoring the progress of domestic AI in terms of computing performance and energy efficiency, as well as the evolution of edge AI and embodied intelligence technologies [14] - The report recommends attention to the AI industry chain, including chips, servers, liquid cooling, power supplies, and downstream AI applications [14]