首席联合电话会 - 科技组专场

Summary of Conference Call on Technology Sector Industry Overview - The storage market is expected to remain optimistic in 2026, with DRAM and NAND prices anticipated to continue rising. Monitoring spot price trends is crucial, as a slowdown or stabilization in spot price increases could signal the end of the storage market rally [1][5] - Taiwanese and mainland storage manufacturers are optimistic about DRAM price trends [3] Key Insights on Storage Market - DRAM prices have seen significant increases, with DDR5 contract prices rising over 130% and spot prices increasing by 230% since the beginning of the year. DDR4 has experienced even larger increases, with contract prices up 430% and spot prices reaching around 500 [2] - NAND prices are also expected to rise due to sustained demand from inference needs, particularly in the server segment, which is growing significantly faster than the mobile segment [2][5] Investment Opportunities - Companies to watch in the storage industry include: - Flash memory manufacturers like SanDisk, which will benefit from NAND price increases - Domestic leaders in storage expansion, such as Zhongwei, Tuojing, and Huachuang, as well as chip companies like Zhaoyi Innovation [6] - The consumer electronics supply chain is currently at historical low valuations due to storage price pressures, presenting a buying opportunity [8] AI Hardware Market Expectations - Apple is expected to launch its first AI glasses in the second half of 2026, with annual sales projected to reach 5-6 million units. OpenAI plans to release a similar AIP product by the end of 2026 [10] - Companies involved in these projects, such as Behavior Communication, Yutong Optics, Zhuhai Guanyu, and Lixun Precision, are worth monitoring [10] AI Industry Trends - The AI industry chain is thriving, with no signs of a slowdown in computing power demand. Companies are investing in self-developed chips, leading to positive capital expenditure and changes in computing architecture [4][15] - Google has a significant advantage in the AI field due to its comprehensive software ecosystem and user base, which facilitates rapid AI application deployment [13] Developments in AI Models - The Gemini 3.0 model has achieved end-to-end upgrades in multimodal capabilities, allowing direct processing of video and image inputs, enhancing inference stability and effectiveness [12] - Google's self-developed TPU for Gemini 3.0 training indicates a diversification in computing power competition, moving beyond Nvidia's dominance [17] Recommendations for Investors - Maintain a positive outlook on the storage sector despite short-term stock price corrections, and consider the buying opportunities presented by storage price increases [11] - Focus on companies involved in AI hardware projects, as these products are expected to generate new growth points in the coming years [11]