机构AI投资策略悄然转向

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]