East Money Securities·2025-11-18 06:23Group 1 - The report highlights the sustained demand for computing power, with significant growth expected in the AI infrastructure sector driven by domestic advancements in computing chips and increased capital expenditure from cloud service providers [2][3]. - The domestic AI infrastructure is anticipated to experience rapid growth by 2026, following a slight dip in expectations due to external factors such as the ban on NVIDIA chips [2]. - The report emphasizes the structural alpha opportunities within the industry, particularly in segments like optical modules, liquid cooling, switches, and power supplies, as the demand for AI computing continues to rise [2]. Group 2 - The report indicates that the terminal AI market is on the verge of significant expansion, with policy support and ecosystem development expected to drive growth in 2026 [3]. - Innovations in products, such as Meta's AI glasses, are likely to accelerate the market penetration of terminal AI applications [3]. - The report suggests that the industry is transitioning from a phase of thematic catalysts to one of performance realization, with the emergence of "hit products" expected to further boost the sector [3]. Group 3 - The telecommunications sector is currently experiencing a phase of capital expenditure reduction, business restructuring, and increasing dividend payouts, which positions it favorably for investors [4]. - The report notes that the telecommunications sector has shown resilience, with profit growth outpacing revenue growth, and a stable or increasing dividend yield in a low-interest-rate environment [4]. - Emerging business areas, particularly in AI and satellite communications, are expected to contribute to a second growth curve for telecommunications companies [4]. Group 4 - The North American AI sector has seen a remarkable increase in capital expenditure, with projections indicating that spending could exceed $600 billion by 2026, driven by robust demand for AI services [12][13]. - The report outlines that the AI computing market is characterized by a dual demand for training and inference, with inference demand expected to surpass training demand in the near future [35][36]. - The report highlights the importance of energy management solutions, such as 800 VDC systems, in addressing the rising power consumption associated with AI data centers [69][70].