华安基金熊哲颖:从AI赋能底层技术,挖掘新科技投资机会
Xin Lang Ji Jin·2025-04-28 01:32

Core Viewpoint - The article highlights the advancements in the robotics and renewable energy sectors, showcasing the investment strategies of Huazhong Fund, particularly through the expertise of fund manager Xiong Zheying, who focuses on AI and advanced manufacturing opportunities [1][8]. Group 1: Investment Strategy - Xiong Zheying employs a three-pronged investment framework: "grasp structure + adjust rhythm + select stocks," aiming for a more comfortable experience in growth stock investments [3]. - The investment approach emphasizes controlling drawdowns while maintaining a balanced exposure to advanced manufacturing sectors, with a focus on high-concentration individual stocks [4]. - The portfolio of Huazhong New Energy Theme A is diversified across three major sectors: electric equipment and new energy (30.22%), non-ferrous metals (28.24%), and basic chemicals (23.38%), with individual stock concentration reaching 44.44% [4]. Group 2: Market Outlook - The renewable energy sector is expected to enter an upward cycle, with lithium batteries, electric vehicles, and energy systems leading the global competitiveness ranking [8]. - By the end of 2024, the renewable energy industry is anticipated to experience a supply-side turning point, leading to improved capacity utilization and ROE [8][9]. - Xiong Zheying predicts that the renewable energy sector will surpass the ROE bottom by 2025, with potential volume and price increases in the lithium battery and wind power supply chains [9]. Group 3: AI and Robotics Investment - The AI industry, particularly in application development, is seen as a significant growth area, transitioning from training to inference applications, which will foster innovation [9]. - The investment in robotics is entering a second phase driven by AI, with advancements in cognitive capabilities and sensor technology expected to create new demand [9]. - The development of AI applications is likened to industrial automation, evolving from discrete needs to broader process requirements, indicating a potential explosion in demand [9].