中美AI不同路径下的产业机会

Core Viewpoint - The article emphasizes that artificial intelligence (AI) has become a central investment theme in global capital markets, significantly impacting stock performance across major indices since the launch of ChatGPT in late 2022 and DeepSeek in early 2025 [1][3]. Group 1: Different Paths of AI Development in China and the U.S. - The U.S. focuses on exploring capability boundaries with strong foundational computing power, leading to significant capital expenditures by leading firms in a closed-source model arms race [5][6]. - China, constrained by geopolitical factors and relative chip capabilities, adopts an open-source strategy aimed at optimizing under resource constraints, promoting inclusivity in AI development [6][7]. Group 2: Technical Approaches - The U.S. primarily employs a closed-source strategy, emphasizing performance breakthroughs through increased parameter scales and resource investment, driving commercial returns [7][8]. - China embraces an open-source ecosystem, with models like DeepSeek and Qianwen focusing on creating efficient, low-cost technology systems that adapt to domestic computing power [8][10]. Group 3: Business Models - The U.S. market has a mature paid software ecosystem, with strong enterprise willingness to invest strategically in AI applications, driven by tech giants and unicorns [14]. - In contrast, China's model leans towards monetizing traffic, integrating AI with existing internet platforms, and relying on indirect consumer payments through transactions and advertising [14]. Group 4: Structural Opportunities in the Global AI Industry - The global AI industry is undergoing structural changes driven by technological breakthroughs and application deepening, creating investment opportunities due to dynamic supply-demand relationships [15][16]. - The demand for AI applications is leading to shortages in specific products, such as storage, and creating a new cycle of growth in the semiconductor industry [16][19]. Group 5: Investment Opportunities in China - Domestic AI investment is expected to accelerate as local computing power improves, with advancements in products like domestic GPUs enhancing stability and performance for large model inference [19]. - Innovations in edge AI hardware and applications are anticipated, with potential breakthroughs in consumer products like AI smartphones and smart glasses [19]. - The C-end AI application market is projected to see significant growth, with a focus on platforms that possess comprehensive advantages in models, ecosystems, and scenarios [19].