Core Viewpoint - The disparity between the overseas AI chain and the domestic AI chain is widening, with overseas companies showing strong recovery while domestic counterparts lag behind [1] Group 1: Market Performance - Global tech stocks faced pressure due to tariff policies in early April, but have since rebounded, particularly in the AI sector, with companies like NVIDIA and Microsoft reaching new highs [1] - In contrast, domestic AI companies, including those in foundational computing power, algorithm services, and application solutions, have not experienced similar rebounds, leading to a divergence in stock performance [1] Group 2: Domestic AI Developments - Despite the slower commercialization of domestic AI applications, there are emerging local products with significant revenue potential, such as Kuaishou's Kling AI, which achieved an annualized revenue run rate exceeding $100 million within 10 months [4] - The domestic AI models are continuously improving, with significant increases in token usage, indicating a growing demand for cloud computing power to support AI applications [3] Group 3: Investment Opportunities - Investment focus is suggested on domestic AI computing power chains, including AI inference chips (e.g., Cambrian, Haiguang Information) and AI servers (e.g., Inspur, Huaqin Technology, Lenovo Group) [5] - Notable AI applications to consider include consumer-facing products like Kuaishou-W and Wanjing Technology, as well as business solutions from companies like Hand Information and Glodon [5]
AI国内链有望缩小与海外链差距 西部证券建议关注联想、浪潮信息等