（文章来源：证券日报） 证券日报网讯 12月11日，高伟达在互动平台回答投资者提问时表示，公司积极布局人工智能业务，并 参与了客户智能体项目实施工作。 ...

证券日报网讯12月5日，高伟达（300465）在互动平台回答投资者提问时表示，截至2025年11月28日， 公司持股人数为50945户。 ...

证券日报网讯12月5日，高伟达（300465）在互动平台回答投资者提问时表示，截至2025年11月28日， 公司持股人数为50945户。 ...

证券日报网讯12月5日，高伟达（300465）在互动平台回答投资者提问时表示，未来，公司持续以金融 科技为核心聚焦主业发展。 ...

Group 1 - The core point of the article is that GaoWeida (300465.SZ) has stated on its interactive platform that there are currently no collaborations with Google and Meta [1]

Core Insights - The digital RMB sector experienced a decline of 0.38% on November 26, with New Zhi Software leading the drop [1] - The Shanghai Composite Index closed at 3864.18, down 0.15%, while the Shenzhen Component Index closed at 12907.83, up 1.02% [1] Digital RMB Sector Performance - Key stocks in the digital RMB sector showed mixed performance, with notable gainers including: - Xinyuan Co., Ltd. (688521) up 5.29% to 153.00 with a trading volume of 190,300 shares and a turnover of 2.921 billion [1] - ST Zhongzhuang (002822) up 4.98% to 4.43 with a trading volume of 242,600 shares and a turnover of 10.7 million [1] - Qitian Technology (300061) up 3.77% to 11.57 with a trading volume of 282,300 shares and a turnover of 324 million [1] - Conversely, New Zhi Software (688590) led the decline, down 3.98% to 19.06 with a trading volume of 70,300 shares and a turnover of 137 million [2] Capital Flow Analysis - The digital RMB sector saw a net outflow of 1.38 billion from institutional investors, while retail investors contributed a net inflow of 1.28 billion [2] - The capital flow for key stocks indicated varying trends, with: - Xinyuan Co., Ltd. experiencing a net inflow of 24.6 million from institutional investors [3] - Qitian Technology showing a net inflow of 12.86 million from institutional investors [3] - New Zhi Software facing a net outflow of 16.1 million from institutional investors [3]

Group 1 - The core viewpoint of the article is that GaoWeida and Ant Group have maintained close and proactive communication since signing their cooperation agreement, adhering to the principle of mutual benefit [1] - The cooperation projects are currently in a phased implementation process [1]

Investment Rating - The report suggests a positive investment outlook for the financial industry, highlighting its strong alignment with AI application and digital transformation needs [3][7]. Core Insights - The financial industry is identified as an ideal "testing ground" for AI applications due to its data-intensive nature and the increasing demand for digital transformation [1][7]. - The release of DeepSeek R1 in 2025 is anticipated to be a pivotal moment for local AI deployment in financial institutions, enhancing model reasoning capabilities and reducing costs [3][7]. - AI applications are rapidly penetrating core business areas and back-office functions within various financial institutions, with the potential to reshape business processes and organizational structures [3][7]. Summary by Sections Investment Recommendations - The report emphasizes the financial sector's need for digital transformation, which aligns well with the characteristics of large models in AI. It predicts a shift from "digital intelligence" to "artificial intelligence" in financial institutions [7]. - Key areas to focus on include: 1. Financial information services with relevant companies like Tonghuashun, Jiufang Zhitu Holdings, and Guiding Compass [8]. 2. Third-party payment services, particularly New大陆 and New国都, with related companies like Lakala [9]. 3. Bank IT, focusing on companies such as Yuxin Technology, Jingbeifang, and Guodian Yuntong [9]. 4. Securities IT, with a focus on companies like Hengsheng Electronics and Jinzhen Shares [10]. 5. Insurance IT, highlighting companies like Newzhisoft and Zhongke Soft [11]. Industry Drivers and Policy Support - The report discusses the strong internal and external drivers for AI application in finance, including the continuous expansion of IT spending by financial institutions and supportive government policies [14][25]. - The maturity of large model technology and its alignment with the financial industry's needs are emphasized, indicating a shift towards industry adaptation [14][18]. Technical Aspects - The report outlines two main technical paths for AI integration in finance: general models trained with financial data and specialized financial models [36]. - DeepSeek R1 is highlighted as a significant advancement in AI deployment for financial institutions, offering enhanced reasoning capabilities and cost efficiency [45][52]. - The report notes that the performance of DeepSeek R1 has improved significantly, with accuracy rates in complex reasoning tasks rising from 70% to 87.5% after updates [48]. Market Trends - The financial sector's technology investment is projected to grow significantly, with a total expected investment of 650 billion yuan by 2028, reflecting a compound annual growth rate of approximately 13.3% [25][31]. - The report indicates a notable increase in AI-related procurement projects within the financial sector, with 133 large model projects initiated in 2024 alone [27][35].

Group 1 - The core viewpoint is that the financial technology sector is experiencing significant growth, driven by banks' increasing investments in technology to enhance their competitive edge amid digital transformation challenges [1][2] - The China Securities Financial Technology Theme Index (930986) has risen by 1.52%, with notable increases in constituent stocks such as Xinghuan Technology (688031) up 11.31% and Geer Software (603232) up 10.00% [1] - Recent procurement signals from multiple banks indicate a strong demand for technology solutions, with some project bids exceeding 20 million yuan and service periods extending up to three years [1] Group 2 - Dongwu Securities highlights that the internet finance sector is focusing on short-term performance elasticity, while securities IT is paying attention to the demand for trusted computing [2] - The financial technology ETF index closely tracks the performance of the China Securities Financial Technology Theme Index, which reflects the overall performance of listed companies in the financial technology sector [2] - As of October 31, 2025, the top ten weighted stocks in the China Securities Financial Technology Theme Index account for 54.41% of the index, indicating a concentration in key players such as Tonghuashun (300033) and Dongfang Caifu (300059) [2]

Group 1 - The core viewpoint of the article highlights a significant increase in stock prices for various AI application companies, indicating a bullish trend in the sector [1][2] Group 2 - Companies such as 360, Borui Data, Rongji Software, Inspur Software, and Suzhou Kodak reached their daily limit up, showcasing strong market performance [1] - Oriental Guoxin and Highwei Data saw their stock prices rise by over 10%, reflecting positive investor sentiment [1] - Other companies like Xinghuan Technology, Jiuqi Software, Foxit Software, and Nanwei Software also experienced notable gains, contributing to the overall upward trend in the AI application sector [1]