Core Insights - The A-share market indices collectively closed in the red, with the domestic AI industry-focused ETF (589520) experiencing a price drop of 2.57%, yet attracting significant investment of 36.6 million yuan over the past five trading days, indicating strong investor confidence in the domestic AI sector's future performance [1][3] Policy Insights - AI has been a prominent topic in this year's major meetings, being mentioned seven times in the government work report, with projections indicating that China's AI core industry will exceed 1.2 trillion yuan by 2025 and grow to over 10 trillion yuan by the end of the 14th Five-Year Plan [3] Industry Developments - At NVIDIA's annual GTC conference, CEO Jensen Huang projected that the new AI acceleration chip architecture, Blackwell, and the next-generation Rubin products will generate at least 1 trillion USD in revenue by the end of 2027, doubling last year's revenue forecast [3] - The demand for computing power is surging, with the concept of "Token inflation" introduced by Guolian Minsheng Securities, highlighting the rapid increase in API call volumes from platforms like Alibaba Cloud and Volcano Engine, which is expected to drive the computing power industry into a "full-chain inflation" cycle by 2026 [3] Investment Opportunities - The Huabao AI ETF (589520) and its linked funds focus on the domestic AI industry chain, including leading domestic GPU companies (e.g., Cambricon), ASIC leaders (e.g., Chipone), and AI application leaders (e.g., Kingsoft Office), with nearly half of its weight in the semiconductor sector and over 30% in software, indicating strong offensive potential [3] - The ETF serves as an efficient tool for investors looking to gain exposure to domestic computing power, being a financing and margin trading target [3]

Investment Rating - The report maintains a "Recommended" rating for the industry, indicating an expected stock price increase of over 15% relative to the benchmark index within the next 12 months [5]. Core Insights - The report emphasizes that the demand for tokens is expected to become a core theme for AI investments this year, with significant opportunities arising from the rapid expansion of inference token demand [8]. - The government work report highlights the importance of computing power as a new infrastructure focus, aiming to enhance the digital economy and AI development through integrated construction, management, and utilization of computing resources [3][4]. - The report notes that domestic computing power is making significant progress, supported by government policies aimed at accelerating development in this sector [8]. Summary by Sections Government Initiatives - The government work report outlines three main directions for computing power: intelligent computing clusters, coordinated computing and electricity, and computing power scheduling, which are crucial for the digital economy and AI [3]. - The emphasis on a unified national approach aims to prevent disorderly construction and promote collaborative development, aligning with the high-quality development needs of the computing power industry [3]. Market Developments - Recent announcements from major companies like Alibaba Cloud and Huawei indicate a growing demand for computing resources, with specific pricing structures for services like video generation [4]. - The introduction of Huawei's TaiShan 950 SuperPoD showcases advancements in computing architecture, promising higher efficiency and reliability in computing power utilization [4]. Investment Opportunities - The report suggests focusing on several key areas for investment, including chip design (e.g., Cambrian, Haiguang Information), advanced wafer manufacturing (e.g., SMIC), and domestic AI computing solutions [8]. - Other recommended sectors include power supply and inductors, as well as domestic AI servers and related components, indicating a broad spectrum of potential investment opportunities within the computing power ecosystem [8].

Investment Rating - The report maintains a "Hold" rating for the computer industry [6] Core Insights - The demand for Tokens is experiencing "inflation," which benefits cloud computing and gives model vendors pricing power [3][4] - The traditional internet model of free services is being disrupted as the industry shifts from free traffic to Tokens as a measurable unit of production [5][10] - The increase in Token consumption is driven by the evolution of user needs from simple Q&A to complex tasks requiring significant computational resources [8][10] Summary by Sections Token Demand Inflation - Token inflation refers to the structural increase in Token consumption per user over time, driven by more complex user interactions with models [8] - Users are increasingly utilizing models for tasks such as code reconstruction and document generation, leading to higher Token consumption [8][10] Changes in the Large Model Era - Tokens are becoming a measurable production resource rather than free traffic, with each interaction consuming computational resources [5][10] - The pricing strategy of model vendors is evolving, allowing them to convert computational scarcity into profit through tiered pricing and subscription models [10][11] Investment Recommendations - The report suggests monitoring the impact of price increases and Token demand on profit margins in the short term, while tracking subscription retention and expansion in the medium term [10][11] - Long-term prospects are positive for companies that can integrate AI into workflows, creating a demand for AI governance tools [11]