Core Viewpoint - The A-share market is experiencing a surge in artificial intelligence (AI) investments, but there are concerns about the sustainability of this trend due to rapid valuation increases in leading companies and segments like optical modules and optical communications [1] Investment Strategy - The focus is on identifying growth sectors with high potential and reliable management that can deliver on performance, while dynamically assessing cost-effectiveness based on future growth and current valuations [2] - The investment strategy emphasizes the importance of performance exceeding expectations, as many stocks that are fundamentally strong may not show significant price increases [2] AI Industry Segmentation - The AI industry chain is divided into three segments: upstream (computing power), midstream (data and large models), and downstream (applications) [3] - Downstream applications include software-related AI in education, office, and taxation, as well as hardware like robots, smart driving, AI phones, and AI glasses [3] Investment Opportunities - Current investment opportunities are concentrated in the computing power sector and downstream applications like robotics and certain hardware areas, which are seen as having relatively high investment value [3] - The robotics sector is viewed as a promising investment direction, particularly for companies that can participate in the Tesla supply chain and related domestic industries [3] AI Applications - AI applications are a focal point for investment, with companies that can turn "impossible into possible" through AI technology, such as humanoid robots and smart driving, being particularly attractive [3] - Companies that deepen their competitive advantages, such as those controlling channel access, are also seen as valuable long-term investments in the AI application space [3]
围绕AI科技主线 挖掘更具性价比方向
Zhong Guo Zheng Quan Bao·2025-09-11 20:17