Shanghai Aijian Securities·2026-02-09 11:02Investment Rating - The report rates the industry as "Outperform" [2] Core Insights - The data center industry has become the core incremental application scenario for the power equipment sector, directly driving demand growth and technological iteration for power equipment [5][2] - The report emphasizes the need to incorporate AI industry multidimensional indicators to accurately gauge the demand for power distribution equipment, given the capital expenditure scale and long investment return cycles in the data center sector [2][5] - Key indicators are constructed from three aspects: demand side (capital expenditure from leading cloud vendors), supply chain (GPU supply tracking), and AI application side (development of AI applications) [2][5] Summary by Sections Demand Side - Capital expenditure from overseas major cloud vendors reached $113.862 billion in Q4 2025, a year-on-year increase of 59.42% and a quarter-on-quarter increase of 14.30% [7] - Alibaba's capital expenditure in Q3 2025 was 31.5 billion yuan, a year-on-year increase of 80.10% but a quarter-on-quarter decrease of 18.55% [10] - Tencent's capital expenditure in Q3 2025 was 13 billion yuan, a year-on-year decrease of 24.05% and a quarter-on-quarter decrease of 32.05% [10] Supply Chain - NVIDIA's total revenue in Q3 2025 was $57.006 billion, with data center product revenue reaching $51.215 billion, marking a historical peak with a quarter-on-quarter growth of 24.62% and a year-on-year growth of 66.44% [15] - TSMC's revenue in December 2025 was 335 billion NTD, a year-on-year increase of 20.4% [22] - The CPU price index in December 2025 was 101.21, showing a slight increase from 99.04 in November [27] AI Application Side - The token call volume from January 27 to February 2, 2026, was 9.81 trillion, reflecting a quarter-on-quarter growth of 26.91% [36] - The price of tokens for models scoring over 40 on the Artificial Analysis Intelligence Index decreased by over 50% in Q3 2025 [45] - The report highlights the steady growth in the number of AI models and the increasing application deployment, which directly impacts the capital expenditure cycle of data centers [29]