AI动态跟踪系列(十三)端侧AI:AI重塑智能硬件
Ping An Securities·2026-01-13 09:28

Investment Rating - The industry investment rating is "Outperform the Market" [1][24]. Core Insights - The report highlights the significant breakthroughs in lightweight smart glasses and the emergence of "embodied intelligence" in robotic vacuum cleaners, showcasing the deep integration of AI with hardware at CES 2026 [2][4][5]. - AI is driving the upgrade of IoT across all scenarios, with strong support from chip manufacturers like Rockchip, Amlogic, and Tailing Micro, which are showcasing their capabilities in various fields [15][18]. - The report emphasizes the importance of AI in transforming smart hardware, suggesting that the integration of AI technology will enhance user experience and drive hardware upgrades [22]. Summary by Sections Smart Glasses and Robotic Vacuum Cleaners - The CES 2026 showcased lightweight smart glasses, with products like MoJie weighing only 25g and XGIMI at 28.9g, marking a significant reduction in weight through innovative optical technology and materials [6][10]. - The report notes that the application of smart glasses is expanding into various verticals such as professional translation, entertainment, outdoor sports, health maintenance, education, and industrial inspection, enhancing their competitive edge [8][9]. AI-Driven IoT and Chip Support - Rockchip presented a range of AI-driven IoT solutions, including consumer electronics and robotics, emphasizing the shift from passive to active service in hardware [15][18]. - Amlogic's focus on local computing and privacy-first solutions aims to enhance the performance of smart devices, with new chips like S905X5 and A311D2 set to launch in early 2026 [19][20]. - Tailing Micro's TL322X chip is designed to support high-end wireless gaming peripherals, showcasing advancements in wireless technology and low latency [21]. Investment Opportunities - The report suggests that investors should pay attention to the upgrade opportunities in smart hardware driven by AI, particularly in main control chips and semiconductor materials, as the demand for intelligent products continues to grow [22].