Core Insights - The AI application sector currently presents more narrative appeal and growth potential compared to the computing power layer, which has established a solid "value base" and clearer valuation logic [1] - Investment strategies are shifting towards AI applications, with fund managers increasing their focus on companies that can translate technology into profits, particularly in sectors like AI smartphones and AR glasses [1][2] - The end-side AI market is expected to see significant advancements, with new products emerging and a growing investment interest in hardware companies [2][3] Investment Trends - Fund managers are adjusting their portfolios to capitalize on the growth of AI applications, with notable increases in holdings of semiconductor stocks and consumer electronics [1][2] - Specific funds, such as Dongwu Fund, have significantly increased their positions in semiconductor companies while reducing exposure to certain optical module and PCB stocks [1] - The trend of investing in end-side AI applications is gaining momentum, with funds focusing on opportunities in areas like foldable screens, 3D printing, AI glasses, and robotics [2] Market Developments - Recent product launches in the end-side AI space include ByteDance's Doubao mobile assistant and Alibaba's Quark AI glasses, indicating a strong push into consumer-grade smart wearable devices [2] - Significant funding rounds have been reported in the end-side AI hardware sector, with companies like Thunder Innovation and Guangli Technology securing substantial investments [2] - Government initiatives, such as the State Council's plan for AI application proliferation by 2027, are expected to drive market growth and consumer adoption of smart devices [2][3] Future Outlook - The penetration of end-side AI devices is anticipated to increase, leading to performance growth for companies in the consumer electronics supply chain [3][4] - The investment focus is shifting from infrastructure (computing power) to applications, with a belief that AI applications will become a key investment theme by 2026 [3][4] - The integration of computing power and applications is expected to drive rapid ecosystem expansion, positioning 2026 as a pivotal year for end-side AI [4]

Core Insights - The investment focus is shifting from computing power to application stories, indicating a growing imagination space in AI applications compared to the established value base of computing power [1][2][7] - Venture capital is actively investing in next-generation AI hardware, while fund managers are positioning themselves to benefit from emerging AI products in the secondary market [1][2] Investment Strategies - Fund managers are adjusting their AI investment strategies as the structure of the supply chain stabilizes, with a focus on AI applications that are expected to see significant growth [2][4] - Specific funds, such as Dongwu Fund, have increased their holdings in semiconductor stocks while reducing exposure to certain AI-related stocks, indicating a strategic shift towards hardware that supports AI applications [2][3] Market Activity - The primary market is witnessing increased activity with new AI products being launched, such as the Doubao mobile assistant and Quark AI glasses, which are gaining traction in the consumer electronics market [5][6] - Significant funding rounds have been completed in the AI hardware sector, with companies like Thunder Innovation and Guangli Technology securing substantial investments, highlighting investor confidence in the sector [5][6] Future Outlook - The investment landscape for 2026 is expected to be driven by consumer electronics linked to AI applications, as the focus shifts from infrastructure to practical applications and commercialization [7] - The potential for AI applications to create clear business models and revenue growth points is recognized, with expectations for continued cross-industry investment opportunities [7]

Core Insights - The investment logic is shifting from focusing on hardware and infrastructure ("selling shovels") to prioritizing actual applications and commercialization ("mining gold") in the AI sector [1][7] - The AI application layer is seen as having greater potential for growth and innovation compared to the more stable and predictable computing power layer [1][2] Market Trends - In the primary market, venture capital is heavily investing in next-generation AI hardware companies, while in the secondary market, fund managers are positioning themselves to benefit from emerging AI products [1][2] - Fund managers are increasingly optimistic about AI applications, particularly with the rise of edge AI products, leading to a gradual increase in investments in this area [2][4] Fund Manager Strategies - For example, Dongwu Fund's manager significantly increased investments in semiconductors while reducing holdings in AI optical modules and PCBs, indicating a strategic shift towards hardware that supports AI applications [3] - Managers are focusing on mid-term opportunities in AI terminal applications, including foldable screens, 3D printing, AI glasses, and robotics [3][4] Primary Market Activity - The edge AI market is witnessing new developments, such as the launch of the Doubao mobile assistant and the Quark AI glasses, indicating a growing consumer interest in AI-integrated devices [5] - Significant funding rounds have been completed in the edge AI hardware sector, with record investments in companies like Thunderbird Innovation and Guangli Technology [5] Consumer Electronics Outlook - The Ministry of Industry and Information Technology has outlined plans for significant growth in consumer electronics, with expectations for AI devices to drive performance in related companies [6] - The investment focus for 2026 is anticipated to be on the consumer electronics chain driven by edge AI innovations, as the industry shifts towards application-based value creation [7]

Core Insights - The global technology industry is expected to experience a dual trend of differentiated end-user demand and accelerated AI innovation by 2026, driven by rapid iterations of AI large models [1][4] - The demand for computing power and the innovation cycle of edge AI products (AI smartphones, AI PCs, AI glasses) will be the main growth drivers, while low-end consumer electronics demand is anticipated to face short-term pressure due to macroeconomic uncertainties and rising storage costs [1][4] AI Computing Infrastructure - The global server market will be dominated by AI infrastructure investments, with AI server shipments expected to grow by 50% year-on-year to 2.32 million units in 2026 [2][6] - The market will exhibit a "GPU/ASIC dual-drive" pattern, with GB/VR iterations driving specification upgrades and self-developed ASICs enhancing value [2][6] - ODM leaders and core component suppliers with "mechatronics" capabilities are expected to benefit, including companies like Luxshare Precision, Hongteng Precision, and BYD Electronics [2][6] Smartphone Market - Global smartphone shipments are projected to decline by 5% year-on-year to 1.18 billion units in 2026, primarily affecting low-end models due to macro uncertainties and rising storage costs [2][6] - The high-end market remains resilient, driven by AI innovations, with Apple expected to launch significant upgrades including the iPhone 18 and the first foldable iPhone [2][6] - Opportunities in optical components, structural parts, and thermal management are highlighted, with companies like Luxshare Precision, AAC Technologies, and Xiaomi Group being key players [2][6] AR/VR Market - The global AI glasses market is expected to exceed 10 million units by 2026, marking a new era for smart glasses [2][6] - Major tech companies are accelerating their investments, with Meta focusing on social ecosystems and Google building an ecosystem through the open Android XR platform [2][6] - Companies with core optical technologies and assembly capabilities are likely to benefit from industry growth, including Sunny Optical, AAC Technologies, and Q Tech [2][6] PC and Automotive Electronics - The global PC market is projected to see a slight decline of 2% year-on-year to 275 million units, influenced by the end of the Windows 11 upgrade cycle and rising storage costs [2][6] - AI PCs are expected to penetrate the market significantly, with their share projected to exceed 50% by 2026 [2][6] - The commercialization of L4-level autonomous driving is expected to accelerate, with opportunities in high-voltage connectors, automotive optics, and smart cockpit displays, benefiting companies like Luxshare Precision, Hongteng Precision, BYD Electronics, Sunny Optical, AAC Technologies, and BOE Technology Group [2][6]

而要支撑这种转变，端侧设备必须满足一系列严苛条件：运行百亿参数级基座模型、加载企业专有知识 库、支持多智能体协作、处理超长上下文，并保障数据不出域。这些需求共同指向一个核心命题：端侧 AI如何真正落地？ 在近期由MINISFORUM铭凡与AMD联合举办的AI产品体验会上，多位与会业内人士认为，端侧AI要真 正"落地"，不能仅靠算力堆砌，还需在硬件架构、应用场景和生态协同上形成完整闭环。 2025年，人工智能正经历一场结构性迁移——大模型能力不再局限于云端数据中心，而是加速向终端设 备下沉。这一趋势被AMD大中华区市场营销副总裁纪朝晖称为"AI智能体元年"的开端：AI正从对话式 助手演变为具备任务执行能力的生产力工具。 算力下沉：端侧设备如何承载百亿参数大模型？ 过去两年，尽管"端侧AI"概念火热，但实际部署仍面临三重障碍：算力不足、成本过高、生态割裂。传 统消费级PC或笔记本受限于显存容量与内存带宽，难以承载主流开源大模型（如Llama 3 70B、 DeepSeek-R1 70B等）。而企业若选择专用AI服务器，则需承担数十万元硬件投入、专用机房部署及持 续运维成本。云服务虽提供弹性算力，却在数据隐私、响应 ...

Investment Rating - The industry investment rating is maintained at "Overweight" [5] Core Insights - The report highlights the increasing significance of domestic AI chips in the electronics industry, with various companies launching innovative products such as AI glasses and mobile assistants [4][6] - The report emphasizes the rapid growth and adoption of AI edge devices, suggesting a focus on related companies like Alibaba, Xiaomi, Hengxuan Technology, and others [6] Summary by Sections Recent Industry Performance - The industry has shown relative returns of 0.82% over the past month, 10.46% over three months, and 30.55% over the past year compared to the CSI 300 index [3] Key Events - Alibaba launched the Quark AI glasses on November 27, 2025, featuring advanced technology and integration with various Alibaba services [5] - ByteDance introduced the Doubao mobile assistant on December 1, 2025, which can perform complex tasks like a human [5] - Huawei released the AI toy "Hanhai" on November 28, 2025, designed for emotional companionship [5] Investment Recommendations - The report suggests monitoring the growth of AI edge devices and related companies, indicating a positive outlook for the sector [6]

Core Insights - The rapid evolution of AI is outpacing the development of computing infrastructure, leading to a significant gap in computing power that is expected to widen by 2026. This gap will manifest in two key areas: a growing demand for core computing capabilities across chips, storage, packaging, and cooling, and a shift towards edge computing to reduce cloud latency and costs, resulting in an explosion of applications from AI smartphones to integrated robots [1]. Industry Overview - The electronic sector has reached a record high in Q3 2025, driven by AI, with the electronic index rising by 44.5% year-to-date, outperforming the CSI 300 index by 26.6% [12][13]. - The semiconductor sector has shown significant growth, with various sub-sectors experiencing substantial increases: PCB (+114%), consumer electronics (+51%), and semiconductors (+40%) year-to-date [12][13]. - The overall electronic industry reported a revenue increase of 19% and a net profit increase of 35% in Q1-Q3 2025, with all major segments showing positive growth [18][24]. Performance Metrics - The electronic sector's inventory levels have risen, particularly in consumer electronics and PCBs, indicating strong demand and recovery in terminal markets [22][25]. - The semiconductor sector's monthly sales growth has rebounded since June 2023, with a notable increase in demand for digital, storage, and equipment segments [34][41]. AI Impact on Semiconductor Cycle - The semiconductor market is entering an upward cycle, with significant growth in capital expenditures from both domestic and international cloud service providers, driven by AI demand [41][42]. - Major cloud providers are expected to increase their capital expenditures significantly, with projections indicating a 50%-60% growth in 2026 [43]. Consumer Electronics Trends - Global smartphone sales are projected to recover, with a forecast of 1.29 billion units in 2024, reflecting a 6.1% year-on-year increase [26][27]. - The PC market is also expected to grow, with global sales reaching 263 million units in 2024, a 1.0% increase year-on-year [27][29]. Automotive Sector Insights - The automotive market is experiencing a weak recovery, with global sales expected to reach 92.23 million units in 2025, reflecting a 1.8% year-on-year increase [39]. - The penetration rate of electric vehicles is projected to rise, with expectations of 20% in 2025 for global sales [39]. AI Narrative Acceleration - The competition among AI model developers has intensified, with significant advancements in model capabilities and applications across various sectors [47][50]. - The demand for AI-related spending is expected to reach $3-4 trillion by 2030, driven by the need for enhanced computing power and applications [58]. Edge Computing and Hardware Development - The shift towards edge computing is becoming crucial, with predictions indicating that the global edge AI market will grow to ¥1.2 trillion by 2029, with a CAGR of 39.6% [69]. - Major AI companies are actively entering the edge hardware market to enhance user experience and profitability [69].

（文/罗叶馨梅）12月10日，泰凌微（688591.SH）在投资者互动平台表示，公司与谷歌在智能家居、音频等多个领域已展开具体项目合作，合 作范围正由早期的遥控器芯片供应延伸至更广泛的智能终端场景。公司称，双方关系已升级为涵盖音频、智能家居及端侧AI等多领域的深度合 作。 在端侧AI方向，泰凌微基于TL721X系列芯片推出TL-EdgeAI平台，支持谷歌LiteRT、TVM等开源模型部署，面向低功耗物联网与可穿戴设备 场景。公司表示，该平台在功耗控制和连接协议支持方面具备优势，目标是为多种智能家居与音频终端提供轻量化AI推理能力。 公开资料显示，泰凌微主营低功耗无线连接及系统级芯片，产品广泛应用于智能遥控器、智能家居设备、可穿戴设备等消费电子领域。公司通 过在蓝牙、射频前端及边缘计算等方向的布局，逐步构建围绕智能家居和物联网的芯片与平台体系，以提升整机厂客户的一站式配套能力。 公司认为，在AI与物联网融合趋势下，端侧设备对低功耗算力与多协议连接的需求正在提升，大型互联网企业与芯片供应商之间的生态协同将 更加紧密。借助与谷歌在音频、智能家居和端侧AI场景的合作，公司期望进一步验证自家平台在国际主流终端上的适配能 ...

证券日报网讯12月10日，泰凌微在互动平台回答投资者提问时表示，公司的端侧AI芯片目前持续放量 中。 ...

Investment Strategy Overview - The report highlights a significant investment opportunity in the electronic industry, driven by the dual forces of domestic cloud computing capabilities and the explosive growth of AI at the edge, marking a pivotal moment for the sector leading up to 2026 [1] Semiconductor Manufacturing - Capital expenditure in semiconductor manufacturing is set to reach new heights, with domestic fabs expected to experience a dual expansion in memory and advanced logic production in 2026, supporting a sustained high level of demand in the wafer foundry sector [2] - The semiconductor equipment sector is anticipated to witness a "β+α" resonance market, with a focus on industry leaders benefiting from expansion dividends and companies like Jingzhida and others that have a clear technology realization logic [2] Cloud Computing Chips - Global cloud service providers (CSPs) are increasing capital expenditures, with the combined capital expenditure of the four major overseas CSPs (Google, Amazon, Microsoft, Meta) reaching $97.9 billion in Q3 2025, a 10% quarter-on-quarter increase [5] - Domestic cloud computing is catching up, with significant growth potential as demand for computing power rises, particularly from leading firms like ByteDance [5][17] - Companies such as Cambricon and Haiguang Information are recommended for investment due to their expected performance release in the domestic computing power sector [5][17] Edge Computing Chips - The strategic importance of edge AI is rapidly increasing, with major tech companies integrating AI models into core products, enhancing the demand for System on Chip (SoC) manufacturers [7][36] - Companies like Amlogic and RichChip are positioned to benefit from the growing demand for edge AI applications, particularly in smart home devices [7][39] Storage Sector - The storage sector is experiencing a strong cyclical upturn, with DRAM and NAND indices showing significant increases of 101% and 79% respectively from September to November 2025 [5] - Major CSPs are increasing their procurement of storage products, leading to a sustained rise in storage prices and creating a "super cycle" in the industry [5] Analog Sector - The analog sector is seeing growth driven by increasing automotive demand, although price pressures are expected to persist [5] - The sector is poised for opportunities related to new AI applications as the industry evolves [5] Consumer Electronics - AI is driving a transformation in terminal interactions, with a notable shift in smartphone upgrades and the emergence of AR products [7] - The AR glasses market is expected to see significant growth in 2026, with major companies like Meta and Apple launching new products [7] PCB/CCL Market - The PCB/CCL market is set to benefit from increased capital expenditures by global cloud providers, with the AI PCB market projected to reach 60 billion yuan in 2026, a 229.8% year-on-year increase [7] - The introduction of low-loss materials and advanced architectures is expected to significantly enhance the value of PCB products [7]