Brokerage Morning Meeting Highlights | Focus on AIDC Power Industry Chain Investment Prospects

Yesterday, the market hit bottom and rebounded, with all three major indexes collectively turning red, and the Growth Enterprise Index rose more than 1% at one point. The trading volume of the Shanghai and Shenzhen stock markets was 2.89 trillion, a decrease of 353.2 billion from the previous trading day. In terms of the market, over 3400 stocks fell. Looking at sectors, the chip industry chain continued to rise, with Hua Hong Semiconductor hitting a historical high, and L&K Engineering, Acter Technology Integration Group, and Tianshui Huatian Technology all hitting the limit up. The precious metals sector remained strong, with China National Gold Group Gold Jewellery hitting a 3-day limit up and Hunan Gold Corporation hitting a 2-day limit up. The CPO concept was active, with Yuanjie Semiconductor Technology hitting a historical high with a rise of over 10%, and Hui Lyu Ecological Technology Groups hitting the limit up. The space photovoltaic concept continued to rise, with Hunan Yujing Machinery hitting a 3-day limit up in 4 days, and Cybrid Technologies Inc. hitting a 2-day limit up in 3 days. The superhard material concept strengthened, with Henan Huanghe Whirlwind hitting the limit up. On the downside, the coal and battery sectors led the decline. Among them, the battery industry chain collectively declined, with Tonze New Energy Technology and Jiangsu HSC New Energy Materials both falling by over 6%. At the close, the Shanghai Composite Index rose 0.18%, the Shenzhen Component Index rose 0.09%, and the Growth Enterprise Index rose 0.71%. At today's securities morning meeting, China Securities Co., Ltd. believes that it is worth paying attention to the investment prospects of the AIDC power industry chain; CICC believes that the "deposit into the market" effect may converge in 2026; Open Source Securities believes that Amazon AWS's announcement of price increases may increasingly highlight the scarcity of AI cloud infrastructure. China Securities Co., Ltd.: Focus on the investment prospects of the AIDC power industry chain The continuous improvement in the power of individual AI chips and individual AI computer cabinets has prompted the AIDC power to be iterated towards high power, direct current, and high voltage. Investment opportunities include four main categories: (1) AIDC power host, such as PSU, HVDC, SST, etc., with concentrated value, high technological barriers, and high entry thresholds; (2) station-level energy storage, increasingly becoming a necessity for AI data centers to be grid-connected; (3) core components, especially optimistic about solid-state circuit breakers, CBU/BBU, DC/DC equipment, electronic fuses/relays, and other AIDC additional links; (4) Third-generation semiconductors such as GaN, SiC. CICC: The "deposit into the market" effect may converge in 2026 The "deposit into the market" expression focuses on "new funds", but also considers "withdrawn funds" to obtain net new funds, which are more related to stock prices. Essentially, it is still a matter of residents' willingness to enter the market, and according to research, residents' willingness to enter the market is strongly positively correlated with income expectations. Even if we focus on new funds, we should also pay attention to the growth rate of new funds, which is more closely related to the increase in the stock market. The entry of high net worth individuals and insurance funds into the market may be somewhat independent of income expectations, and played an important role in supporting the stock market in 2025, but this force may converge in 2026. Open Source Securities: Amazon AWS announced price increases, highlighting the increasing scarcity of AI cloud infrastructure On January 23, 2026, global cloud computing giant Amazon Web Services announced a price increase of about 15% for its EC2 machine learning capacity blocks aimed at large model training, breaking the pricing tradition of "only lowering prices" for the first time in about twenty years. Machine learning capacity blocks are a customized service model introduced by AWS to address the imbalance between supply and demand for high-performance GPUs and other scarce computing resources, allowing users to pre-book specific models of GPU instances to ensure stable supply of key computing resources. With the global AI development in full swing, AWS, as Amazon's core public cloud platform, confirms once again the high prosperity of the global demand for AI computing power, and from the supply perspective, the scarcity of AI cloud industry chain resources may increasingly be highlighted. This article is reproduced from "CaiLian Press". Editor: Chen Xiaoyi.