Group 1 - Private equity firms have significantly increased their positions in the technology sector, with the CREFI index reporting an average stock position of 61.05% as of the end of June, up 3.25 percentage points from the end of May [2][3] - The technology sector, particularly hardware and software, has been favored by private equity, with the largest increases in holdings seen in technical hardware and equipment, software and services, and capital goods, with increases of 2.51%, 1.16%, and 1% respectively [2][3] - The most researched industries by private equity in July include computer, electronics, and biomedicine, with the highest research frequencies being 209, 179, and 160 times respectively [4] Group 2 - The focus on AI development opportunities is prominent among leading private equity firms, with investments being directed towards the AI industry chain, domestic semiconductor equipment, and chips [5][6] - There is a clear trend in capital expenditure related to the AI industry chain, which is expected to accelerate orders for Chinese hardware manufacturers if overseas capital expenditure materializes [6] - The investment strategy is shifting towards identifying quality investment opportunities in sectors with growth potential, particularly in technology and pharmaceuticals [4][5]

Core Viewpoint - The collaboration between government and enterprises is creating a stablecoin ecosystem anchored by high-quality Chinese assets, with RWA assets on-chain expected to usher in the era of Web 3.0 [1][5] Group 1: Stablecoin and RWA - Stablecoins focus on "fiat currency tokenization," while RWA emphasizes "asset tokenization," enhancing asset liquidity and providing low-risk, stable-return financial products in the Web 3.0 space [2] - Hong Kong is leading the world in stablecoin legislation, closely following the U.S. legislative progress [2] Group 2: Blockchain Layers - The progression from consortium chains to Layer 2 public chains and then to Layer 1 public chains highlights the advantages of each layer, including compliance with KYC/AML regulations and high transaction performance [3] - Layer 1 public chains serve as the foundational layer for consensus, data storage, and smart contract execution, while Layer 2 enhances performance and liquidity [3] Group 3: RWA Development Phases - The first phase of RWA focuses on foundational construction, with assets being tokenized and offering fixed returns similar to traditional investments [4] - The second phase activates liquidity through a layered architecture, enabling a closed-loop of "financing-splitting-circulation" for RWA [4] - The third phase aims to create a mature global RWA ecosystem with cross-chain transactions becoming the norm [4] Group 4: Investment Recommendations - The report suggests monitoring companies involved in RWA asset tokenization, such as Aorede, Longxin Group, and Xiexin Energy, during the foundational phase [5] - For the liquidity activation phase, attention should be given to trading platforms and internet brokerages like Yao Cai Securities and Dongfang Wealth [5] - In the global asset network integration phase, major internet giants like JD.com and Alibaba are recommended for observation [5]

关于变更持续督导保荐代表人的公告 本公司及董事会全体成员保证信息披露的内容真实、准确、 完整，没有虚假记载、误导性陈述或重大遗漏。 经中国证券监督管理委员会《关于核准京北方信息技术股份有限公司首次公 开发行股票的批复》（证监许可〔2020〕350 号）核准，并经深圳证券交易所《关 于京北方信息技术股份有限公司人民币普通股股票上市的通知》（深证上〔2020〕 351 号）同意，公司首次公开发行人民币普通股股票 4,017 万股，并于 2020 年 5 月 7 日在深圳证券交易所上市。鉴于公司首次公开发行股票募集资金尚未使用完 毕，保荐机构中国国际金融股份有限公司（以下简称"中金公司"）继续履行对公 司募集资金的存放和使用情况持续督导职责。 证券代码：002987 证券简称：京北方 公告编号：2025-033 京北方信息技术股份有限公司 附件：保荐代表人简历 吴窑先生，现任中国国际金融股份有限公司投资银行部副总经理、保荐代表 人。吴窑先生曾主持和参与了邮储银行 2025 年向特定对象发行 A 股股票、邮储 银行 2023 年 A 股非公开发行、中际联合 A 股 IPO、建工修复 A 股 IPO、威力传 动 A 股 ...

转自：前瞻产业研究院 行业主要上市公司：寒武纪(688256.SH);京北方(002987.SZ);中科金财(002657.SZ);格灵深瞳(688207.SH) 本文核心数据：人工智能产量;产业规模;产业政策;产业投融资情况 1、北京市人工智能特色产业政策环境 ——北京市人工智能特色产业政策数统计 截至2025年5月20日，北京市人工智能产业政策共有380条。2016-2024年，北京市人工智能特色产业政策数 量呈现迅猛增长后回落的趋势，2021年为北京市人工智能特色产业政策数量的峰值，高达152个。2024年北 京市人工智能特色产业政策数量为5个，2025年1-5月，北京市人工智能特色产业政策数量为0个。 | 时间 | 政策名称 | 内容解读 | 政策类型 | | --- | --- | --- | --- | | | | 到 2025年,基本形成要素齐全、技术领先、生态完备、可有力支撑 数字经济高质量发展的通用人工智能产业发展格局。上下游产业链布 | | | | 《北京市通用人 | 局持续优化,优质算力、高质量数据供给支撑能力大幅提升,大模型 | | | 2023.05 | 工智能产业创新 | 创新应用 ...

Group 1 - The financial technology sector continues to show strength, with the Huaxia Financial Technology ETF (516100) rising by 0.65% as of 10:05 AM, and a significant increase in net subscriptions of 680 million over the past 20 days, leading to a more than 2-fold growth in scale [1] - The Hong Kong Monetary Authority's CEO, Eddie Yue, announced that a summary of the "stablecoin issuer licensing regime" will be released next week, emphasizing the need for ongoing discussions about stablecoins in the market and society [1] - Analysts suggest that with regulatory support and market rationality, stablecoins can fulfill their vision of "reshaping the global payment system," acting as a bridge between traditional finance and the digital economy [1] Group 2 - The Huaxia Financial Technology ETF (516100) closely tracks the CSI Financial Technology Theme Index, which includes major players in software development, internet finance, and the digital currency industry, with a stablecoin content of 23.43%, the highest among all market indices [2] - The ETF's top holdings include industry leaders such as Tonghuashun, Dongfang Caifu, and Runhe Software, as well as popular stablecoin-related stocks like Dongxin Pingan and Yingshisheng, providing investors with a convenient way to access stablecoin and digital currency concepts [2]

Investment Rating - The report maintains an "Outperform" rating for the AI application industry [1] Core Insights - The capabilities of AI models are rapidly improving, driven by open-source initiatives that lower costs. Large models have achieved new heights in knowledge Q&A, mathematics, and programming, surpassing human-level performance in various tasks. The introduction of high-performance open-source models like Llama 3.1 and DeepSeek R1 has narrowed the gap between open-source and closed-source models [2][5] - AI agents are becoming more sophisticated, with a surge in new product releases. These agents can perceive their environment, make decisions, and execute actions, enhancing their functionality through the integration of external tools and services [2][30] - The commercial use of AI is on the rise, with significant growth in usage and performance of domestic models. The gap between top models in China and the US is closing, supported by a continuous increase in global AI model traffic [2][50] - AI applications are reshaping traffic entry points, with traditional internet giants leveraging proprietary data and user engagement to integrate AI functionalities into existing applications [2][50] - The open-source movement is increasing investment willingness and accelerating cloud adoption among enterprises, as the proliferation of development tools lowers industry application barriers [2][50] Summary by Sections Model Layer: Rapid Capability Enhancement and Cost Reduction - The mainstream model architecture is shifting towards MoE, allowing for more efficient resource use while enhancing performance. Models like DeepSeek-V3 and Llama 4 have demonstrated low-cost, high-performance capabilities [8][9] - The multi-modal capabilities of models have significantly improved, enabling them to process various data types, thus expanding application scenarios [8][9] - The introduction of chain-of-thought reasoning techniques has improved the accuracy and reliability of model responses [8][9] Commercialization: Continuous Growth in Usage and Strong Performance of Domestic Models - The competition among vendors has led to a significant decrease in inference costs, benefiting application developers and end-users [21][22] - The API call prices for major models have dropped substantially, with some models seeing reductions of up to 88% [21][22] AI Agents: Technological Advancements and Product Releases - AI agents are evolving from traditional models to more autonomous entities capable of independent decision-making and task execution [30][31] - The introduction of protocols like MCP and A2A is enhancing the capabilities and interoperability of AI agents, facilitating complex task execution across different systems [38][39] C-end Applications: AI Empowering Business and Reshaping Traffic Entry - AI applications are expected to redefine traffic entry points, with major players actively positioning themselves in this space [2][50] B-end Applications: Open-source Enhancing Investment Willingness and Cloud Adoption - The development of open-source tools is significantly lowering the barriers for industry applications, accelerating the intelligent transformation of various sectors [2][50]

Group 1 - The core viewpoint of the news highlights the recent decline in the stock price of Jingbeifang Information Technology Co., Ltd., which has dropped by 2.60% over four consecutive trading days [1] - Jingbeifang is recognized as a leader in the fintech service sector, aiming to provide comprehensive and high-quality software and IT solutions to assist clients in their digital transformation [1] - In the second quarter of this year, the Invesco Great Wall Quality Evergreen Mixed A Fund entered the top ten shareholders of Jingbeifang, marking a new investment for the fund this year [1] Group 2 - The Invesco Great Wall Quality Evergreen Mixed A Fund has achieved a year-to-date return of 30.35%, ranking 356 out of 4,491 in its category [1] - The fund manager, Nong Bingli, has a strong background with experience in various financial institutions, including positions as a research analyst and fund manager [3][4] - Nong Bingli has been managing multiple funds, including the Invesco Great Wall Quality Evergreen Mixed A Fund since July 6, 2023, and has a cumulative management experience of over six years [4]

Group 1 - The core viewpoint of the news highlights the performance of the financial technology ETF Huaxia (516100), which has seen a slight decline of 0.22% amid a strong market trend, with significant fluctuations in its constituent stocks [1] - The financial technology ETF Huaxia has recently experienced a continuous capital inflow, accumulating 268 million in the past five days, reaching a new high of over 1 billion in total product scale since its inception [1] - A strategic partnership was formed between AI company Fourth Paradigm and fixed-income fintech platform Jiuyang Technology, aimed at developing a stablecoin asset management solution to enhance compliance and security in the stablecoin investment sector [1] Group 2 - The financial technology ETF Huaxia (516100) closely tracks the CSI Financial Technology Theme Index, which includes major players in software development, internet finance, and the digital currency industry, with a stablecoin content of 23.43%, the highest in the market [2] - The index comprises leading stocks such as Tonghuashun, Dongfang Caifu, Runhe Software, and Hengsheng Electronics, as well as popular stablecoin stocks like Dongxin Pinghe and Yingshisheng, facilitating investors' access to stablecoin and digital currency concepts [2]

Core Viewpoint - The stablecoin industry is transitioning from "concept exploration" to "compliance implementation," with a focus on regulatory clarity and the establishment of a full industry chain in the Hong Kong stock market, where nearly 20 stablecoin concept stocks are involved [1]. Group 1: Business Positioning - Hong Kong stablecoin concept stocks generally focus on cross-border payments and broad RWA applications, with a "breadth-first" business model [2]. - In contrast, Huajian Medical's IVDD stablecoin adopts a "depth-first" strategy, concentrating on high-barrier medical innovation assets, including gene therapies and targeted drugs [3]. Group 2: Technical Architecture - Most Hong Kong stablecoin concept stocks utilize a "public chain + smart contract" generic architecture [4]. - Huajian Medical's IVDD employs a "hybrid architecture + deep adaptation to medical scenarios," enhancing asset tokenization precision and efficiency [6][7]. Group 3: Compliance Pathways - Hong Kong stablecoin concept stocks exhibit a "license-driven" compliance approach, with companies like Guotai Junan International obtaining licenses to provide stablecoin trading services [8][9]. - Huajian Medical's IVDD follows a "license + ecosystem" dual-driven model, applying for a stablecoin license while building a medical data flow platform [10]. Group 4: Ecological Value - Most Hong Kong stablecoin concept stocks are positioned as "payment tools," focusing on facilitating transactions [11][12]. - Huajian Medical's IVDD aims to be a "medical industry innovator," enhancing asset liquidity and potentially transforming the medical asset value ecosystem [13]. Group 5: Future Outlook - The implementation of Hong Kong's Stablecoin Regulation and the advancement of the U.S. GENIUS Act will lead to differentiation among Hong Kong stablecoin concept stocks [14]. - Huajian Medical's IVDD, as a pioneer in medical RWA, is expected to replicate successful financing models and expand its asset management scale significantly [15][16].

行业报告 | 行业点评 计算机 证券研究报告 场景广度决定，稳定币未来谁将领跑 7 月 19 日，美国总统特朗普正式签署《GENIUS 法案》，为美国境内合法 使用稳定币建立监管框架。特朗普称其可能是「自互联网诞生以来最伟大 的金融科技革命」。稳定币行业催化不断，针对后市演绎，我们做出以下判 断。 1、发币方是稳定币产业链价值链核心，而场景是关键中的关键 参考美元稳定币发展，中国香港稳定币发币方利润有望快速体现并且具备可 观的空间。货币价值的网络效应决定，发币方需与场景运营方深度合作才 能跑出。比如 Circle 与 Coinbase 深度合作，进而跃居行业 TOP2。 2、支付场景中，小商品城、中油资本所在的相关场景进出口总额超万亿 不同于美元稳定币以 Defi 项目交易为主，港元稳定币侧重在跨境支付。根 据义乌海关，2024 年义乌进出口总额 6689 亿元，对"一带一路"国家合金 进出口 4133 亿元，占同期义乌进出口总值 61.8%。中国 24 年原油进口金额 约 2.31 万亿人民币，管道天然气进口金额 1501.77 亿人民币。基于此，我 们看好小商品城、中油资本的卡位优势。 3、交易所和跨境支 ...