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2025年第37周计算机行业周报:Qwen3-Next开源发布有望加速AI应用落地-20250916
Changjiang Securities· 2025-09-16 09:46
Investment Rating - The industry investment rating is "Positive" and is maintained [7]. Core Insights - The computer sector rebounded last week, increasing by 3.47%, ranking 6th among major industries in the Yangtze River region, with a trading volume accounting for 7.79% of the total market. The rebound followed a significant previous decline [2][4][16]. - The release of the Qwen3-Next open-source model by Alibaba is expected to significantly reduce costs and accelerate the implementation of AI applications, showcasing advancements in domestic large models [6][42]. - The report suggests focusing on the Chinese inference computing industry chain, particularly recommending the domestic AI chip leader, Cambricon, as well as the Alibaba Cloud ecosystem, cloud service providers, and IDC collaborations with major companies like Tencent and ByteDance [6][42]. Summary by Sections Market Performance - The computer sector experienced a rebound with a 3.47% increase, while the Shanghai Composite Index rose by 1.52%, closing at 3870.60 points [4][16]. - The trading volume of the computer sector represented 7.79% of the total market, indicating active trading in computing-related stocks [2][16]. Key Developments - The Ministry of Transport issued guidelines for the construction of a "Transportation Power" initiative, which is expected to drive investment opportunities in transportation information technology [21][24]. - The Ministry of Commerce initiated an anti-discrimination investigation against the U.S. regarding measures affecting China's semiconductor industry, which may create investment opportunities in domestic AI chips [27][32]. Recommendations - The report emphasizes the importance of the Qwen3-Next model's release, which is anticipated to enhance the performance and reduce training costs of AI applications, thereby boosting demand for computing power [6][42]. - Investors are advised to pay attention to companies with technological reserves in transportation information technology and those involved in low-altitude and vehicle-road-cloud integration [26][27].