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市场策略报告:AI算力财报验证高景气,毫秒用算专项行动落地-20251021
Capital Securities· 2025-10-21 08:34
Core Insights - The report highlights the acceleration of domestic substitution in the semiconductor industry, driven by the AI industry's growth and the need for enhanced computing power [1][3] - The AI industry is experiencing a robust development phase, transitioning from cloud-based models to edge intelligence and embodied intelligence, supported by domestic substitution policies and continuous technological advancements [3][15] Economic Indicators - CPI and PPI data show marginal improvement, with September 2025 CPI rising 0.1% month-on-month and declining 0.3% year-on-year, while core CPI (excluding food and energy) increased by 1.0% year-on-year, marking the fifth consecutive month of growth [2][9] - The PPI remained flat month-on-month for two months, with a year-on-year decline of 2.3%, indicating a narrowing of the decline due to policies aimed at reducing internal competition [2][9] Trade Performance - China's import and export values showed positive growth in September 2025, with total trade value increasing by 8%, exports rising by 8.4%, and imports growing by 7.5% year-on-year, reflecting strong performance in high-tech products and advanced manufacturing [10][12] Semiconductor Sector - TSMC reported Q3 2025 revenue of $33.1 billion, a 10.1% increase quarter-on-quarter, driven by strong demand for advanced processes, with 74% of wafer revenue coming from 7nm and below [12] - Cambricon Technologies reported a staggering year-on-year revenue increase of 1332.52% in Q3 2025, reaching 1.727 billion yuan, with a net profit of 567 million yuan, showcasing significant improvement in performance [12] AI Infrastructure Investment - Major AI companies, including Nvidia, OpenAI, and Google, are accelerating investments in data centers, with Nvidia and partners planning to invest $40 billion in acquiring data center giant Aligned [13] - The Ministry of Industry and Information Technology announced the "Millisecond Computing" initiative to enhance computing infrastructure, aiming for sub-millisecond connectivity and access in urban networks [13] Energy Sector - The demand for energy storage and power equipment is expected to grow, with Nvidia exploring mid-voltage rectifier applications and developing solid-state transformers to meet the increasing power needs of AI [14][15] Investment Recommendations - The report suggests focusing on the resonance between supply and demand sides to escape the internal competition dilemma, particularly in emerging industries like photovoltaics, lithium batteries, and new energy vehicles [15] - Attention should be given to the AI industry chain, including chips, servers, liquid cooling, power supplies, and downstream AI applications, as domestic AI continues to evolve in performance and efficiency [15]