Shang Hai Zheng Quan Bao·2025-08-03 13:34Core Viewpoint - The surge in institutional research on AI computing power companies indicates a strong market interest, driven by the anticipated growth in overseas demand for AI infrastructure and the impressive performance forecasts of domestic optical module companies [1][2][4]. Group 1: Institutional Research Activity - In July, institutions conducted approximately 12,000 research sessions on over 600 listed companies, with significant focus on the electronics, pharmaceuticals, and computing sectors [2]. - Among the most researched companies, Zhongji Xuchuang and Xinyisheng received 75 and 66 inquiries respectively, highlighting their prominence in the optical module sector [2]. - Zhongji Xuchuang's half-year profit forecast indicates a net profit of 3.6 billion to 4.4 billion yuan, reflecting a year-on-year increase of 52.64% to 86.57% [2]. Group 2: Performance and Market Trends - Xinyisheng's half-year profit forecast suggests a net profit of 3.7 billion to 4.2 billion yuan, representing a substantial year-on-year growth of 327.68% to 385.47%, attributed to ongoing investments in AI-related computing power [3]. - Following the performance forecasts, both Xinyisheng and Zhongji Xuchuang saw their stock prices increase by over 50%, while the optical module index rose by over 20% in July [4]. - North American CSP manufacturers are experiencing rapid demand growth, benefiting domestic optical module suppliers significantly amid the AI infrastructure investment wave [4]. Group 3: Future Outlook - Major overseas tech companies are ramping up investments in AI infrastructure, with Google planning to invest $25 billion in data centers and AI infrastructure over the next two years [4]. - Meta Platforms is also committing hundreds of billions to build multiple large data centers to support its AI development, with the first expected to be operational by 2026 [4]. - Fund managers express optimism about the ongoing technology market rally, noting that overseas internet and cloud computing companies are increasing their capital expenditure guidance for 2026 and beyond, recognizing the importance of AI in future competition [5].