Core Viewpoint - The current market outlook for the spring season is optimistic, particularly in the AI sector, with significant capital expenditure plans from TSMC indicating strong confidence in AI industry growth [1] Industry Analysis - The AI narrative continues to deepen, with TSMC's latest quarterly performance exceeding expectations and its 2026 capital expenditure plan significantly surpassing prior forecasts, reflecting a strong commitment to AI development [1] - Focus on storage and equipment sectors is emphasized, as companies in these areas are experiencing record-high stock prices, aligning with the inflation narrative within the AI framework [1] - The storage sector has already seen a market surge since September last year, driven by increasing AI inference demand, which is expected to create a supply-demand gap of 20% or more starting in 2025 [1] - Price increases are already evident across various categories, with a clear price increase cycle, and domestic companies are reaching global top-tier levels, presenting emerging investment opportunities [1] Investment Focus - Key areas for investment include design-oriented companies, high-performance module companies, and those related to the storage industry to capitalize on the spring market trends [1] - The domestic computing power industry is showing strong capital expenditure and market demand, with related companies expected to report impressive results [2] - The core investment themes for the spring rally are anticipated to be the storage chain (semiconductor equipment), domestic computing power, and overseas computing power [2] Subsector Insights - AI remains the central theme of the technology sector, divided into two main areas: computing hardware and large model applications, with a current preference for computing hardware due to clear profit models and high industry prosperity [2] - Three key directions for investment in computing hardware include: 1. Computing chips with clear profit models and high industry chain prosperity 2. Related fields such as storage, circuit boards, and optical modules that complement computing chips 3. Semiconductor equipment and materials benefiting from increased semiconductor capacity investments driven by computing chip demand [2] - In AI large model applications, while profit models are not yet clear, sectors like software applications, autonomous driving, and robotics that can form business closed loops are worth close monitoring for future investment opportunities [2]
国联安基金:看好AI存储链、国产算力、半导体设备等板块
Zhong Zheng Wang·2026-01-16 13:57