每经编辑｜张喜威 王瀚黎 1 中国共产党第二十届中央委员会第四次 议于10月20日至23日在北京召开 2 中国三季度GDP等数据将公布 3 国家统计局公布70个大中城市住宅销" 度报告 4 中国10月一年、五年期贷款市场报价 将公布 1 铁证如山！美方网攻我国授时中心过程公布 10月19日上午，国家安全机关披露了美国国家安全局（以下简称NSA）对国家授时中心（以下简称"授时中心"）实施重大网络攻击活动。国家互联网应急中 心（CNCERT）通过分析研判和追踪溯源得出此次攻击事件的整体情况。2022年3月起，NSA利用某国外品牌手机短信服务漏洞，秘密监控10余名国家授时 中心工作人员，非法窃取手机通讯录、短信、相册、位置信息等数据。2023年4月起，NSA在"三角测量"行动曝光前，多次于北京时间凌晨，利用在某国外 品牌手机中窃取的登录凭证入侵国家授时中心计算机，刺探内部网络建设情况。2023年8月至2024年6月，NSA针对性部署新型网络作战平台，对国家授时中 心多个内部业务系统实施渗透活动，并企图向高精度地基授时导航系统等重大科技基础设施发动攻击。（央视新闻） 2 人民币，大消息！ 据《金融时报》10月19日消 ...

Core Viewpoint - Qianli Technology has submitted an application for an IPO on the Hong Kong Stock Exchange to accelerate its "AI+Mobility" strategy after completing the consolidation of Qianli Intelligent Driving [2][4] Group 1: Company Strategy and Transformation - Qianli Technology's revenue has historically come from automotive and motorcycle manufacturing, accounting for over 85% of its income, but the company is now transitioning to an AI-centric model [4] - The company aims to provide a closed-loop solution in "AI+Mobility," focusing on smart driving, smart cockpit, and Robotaxi as core areas [5][9] - The establishment of Chongqing Qianli Intelligent Driving Technology Co., Ltd. is a key step in advancing the "AI+Car" strategy [10] Group 2: Product Development and Offerings - In the smart driving sector, Qianli Technology offers a full-stack solution driven by RLM (Reinforcement Learning-Multi-Modal) models, capable of achieving L2 to L4 levels of autonomous driving [7] - The company plans to release its L3 smart driving solution in Q4 of this year and aims to launch the L4 Robotaxi solution by the second half of 2026 [7] - The smart cockpit business leverages multi-modal interaction models and AI-native Agent OS for natural voice/visual interaction and personalized recommendations [7] Group 3: Financial Aspects and Funding - Qianli Technology aims to use the funds raised from the IPO to enhance R&D capabilities and develop "AI+Mobility" products, including testing and deploying autonomous driving systems [13] - The company reported that Qianli Intelligent Driving achieved a revenue of 902,400 yuan and a net loss of 294 million yuan as of the end of August [12] - The IPO is seen as a means to secure funding for the costly R&D required in the autonomous driving sector, which has not yet reached profitability [13]

Core Insights - The 2025 Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Technology Development Forum was held in Zhuhai, focusing on the latest trends in AI technology and its industrial applications in the region [1][3] - The forum gathered experts, scholars, and entrepreneurs from the Greater Bay Area to discuss how AI can empower industrial upgrades and promote cross-regional collaboration [1][11] Group 1: Forum Highlights - The forum served as a significant platform for discussing the integration of technology within the Greater Bay Area's development blueprint [3] - Zhuhai has established a strong foundation for technological innovation, with 2 provincial laboratories and 19 provincial key laboratories, alongside initiatives like the "Tianqin Plan" and "AI Supercomputing Center" [3][12] - The city has nurtured 11 national-level manufacturing champions and over 2,900 high-tech enterprises, showcasing its commitment to fostering a robust tech ecosystem [3][12] Group 2: AI Industry Development - Zhuhai's AI industry has surpassed a scale of 12.4 billion yuan, demonstrating strong growth momentum [13] - The local government has implemented a series of supportive policies to enhance the AI industry, including the establishment of a 500 million yuan "computing power voucher" and a 100 million yuan "model voucher" [13][15] - The city aims to create a comprehensive AI ecosystem covering foundational, technical, and application layers, positioning itself as a key player in the AI sector [13][15] Group 3: Xiaomi's Role - Xiaomi's significant investment in R&D, exceeding 100 billion yuan over the past five years, highlights its transition from an internet company to a hard-tech powerhouse [12] - The launch of the Xiaomi 17 series smartphones, featuring advanced technology, underscores the company's commitment to innovation in AI and smart devices [12] - Xiaomi's "human-vehicle-home ecosystem" strategy emphasizes AI as a core driving force for its business model, contributing to the region's industrial intelligence upgrade [12][9]

Group 1 - Xiaomi has appointed Wei Siqi as the new General Manager of the China Marketing Department after a vacancy of over a month [1] - Wei Siqi's social media profile now indicates her roles as General Manager of Xiaomi Mobile Marketing and Deputy General Manager of Xiaomi Automotive Marketing [6] - Xiaomi's executive Wang Teng expressed excitement about the upcoming K90 Pro Max smartphone, highlighting the efforts of the research and development team [8] Group 2 - Xiaomi's President Lu Weibing announced that the overall sales of the Xiaomi 17 series have increased by 20% compared to the previous generation, with the Pro series achieving three times the sales of its predecessor [14] - The Xiaomi 17 series was officially launched on September 27, with starting prices of 4499 yuan for the base model and 5999 yuan for the Pro Max [14] - The Xiaomi 17 series set a record for the highest sales volume and revenue within the first five minutes of its launch in 2025 for new models in the domestic market [14]

Core Viewpoint - Huawei's founder Ren Zhengfei appointed Yu Chengdong as the head of the Investment Review Board (IRB) to lead the company's efforts in achieving a global leadership position in artificial intelligence (AI) [3][4] Group 1: AI Strategy and Leadership - AI is identified as the core focus for Huawei's development over the next decade, with Yu Chengdong being a key figure in this strategic direction [3][4] - The immediate priorities for Yu include streamlining Huawei's Ascend computing platform and advancing the commercialization of large models [3][4] - Huawei's AI ecosystem is currently not as advanced as its smart driving technology, indicating a need for strategic breakthroughs [3][4] Group 2: Resource Allocation and Business Integration - Yu Chengdong's dual role in managing both AI and automotive sectors raises questions about resource allocation and potential impacts on the automotive business [4][5] - The integration of AI with automotive operations could enhance resource collaboration and strengthen Huawei's commercial capabilities [4][5] - Huawei's shift from a decentralized approach to a more strategic focus may lead to the merging of its automotive and AI business units [6] Group 3: AI in Automotive Industry - The automotive industry's future is increasingly recognized as being centered around AI, with companies transitioning to become AI-driven [8][9] - AI can enhance user experiences through smart driving and intelligent cockpit technologies while also improving efficiency across the entire lifecycle of automotive operations [9][10] - Huawei's cloud services and high-performance computing capabilities are positioned to support the automotive sector, with Huawei Cloud holding an 18% market share in China [11][12] Group 4: Competitive Positioning - Huawei's Ascend 384 super node, showcasing a computing power of 300 PFLOPs, is positioned as a significant competitor to NVIDIA's offerings [11][12] - The rapid advancements in Huawei's AI systems have garnered attention from industry leaders, indicating a strong competitive stance in the AI landscape [12][13]

Core Viewpoint - Xiaomi Group-W (01810) has seen a decline of over 15% in its stock price this month, with a current drop of 3.82% to HKD 45.88, and a trading volume of HKD 10.359 billion [1] Group 1: Incident Impact - The ongoing controversy surrounding the Chengdu Xiaomi SU7 accident has raised concerns, particularly regarding the car door's inability to open from the outside post-collision, contradicting Xiaomi's customer service claims of "automatic unlocking after collision" [1] - The safety of the semi-hidden electric door handles of the Xiaomi SU7 has also come under scrutiny [1] Group 2: Regulatory Developments - The State Administration for Market Regulation announced the establishment of a reporting system for fire incidents involving new energy vehicles and a remote upgrade reporting system during the 2025 World Intelligent Vehicle Conference [1] - A pilot program for automotive safety sandbox regulation will also be initiated [1] Group 3: Market Analysis - According to a report from China International Capital Corporation, Xiaomi's stock price has been volatile this week due to multiple news events and market rumors, including the Chengdu SU7 accident, road testing of a third model in Xinjiang, and the readiness of the second phase factory in Beijing [1] - Despite the Xiaomi 17 series performing better than the Xiaomi 15 series, it is anticipated that the gross profit margin (GPM) for Xiaomi smartphones will hit a low point in the second half of this year [1]

Core Insights - The automotive industry is projected to see sales of approximately 2.857 million vehicles by August 2025, reflecting a month-on-month growth of 10.1% and a year-on-year growth of 16.4%, with new energy vehicle sales expected to reach about 1.395 million units, capturing a market share of 48.8% [1] - Continuous supportive policies for automotive consumption, combined with the upward trend in new energy vehicle sales, indicate robust industry demand growth [1] - The CEO of Huawei's Intelligent Automotive Solutions Business Unit has introduced the concept of "three waves" in the automotive industry, predicting that 2025 will mark the entry into the intelligent phase, with the ADS 4 system debuting L3 technology architecture for high-speed commercial solutions [1] - The price of battery-grade lithium carbonate remains stable at 73,550 yuan per ton, while copper prices have increased by 5% to 86,780 yuan per ton [1] Industry Overview - The Smart Automotive ETF (159889) tracks the CS Smart Automotive Index (930721), which selects listed companies involved in smart driving and vehicle networking technologies from the A-share market, covering the entire industry chain from hardware to software [1] - The index aims to reflect the overall performance and development trends of listed companies related to smart automobiles [1]

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Core Viewpoint - The report from Dongwu Securities indicates that the market will refocus on investment opportunities in intelligence during Q4, with a preference for Hong Kong stocks over A-shares, software over hardware, and B-end over C-end investments [1] Group 1: Market Trends - Since the AI market began in 2023, each subsequent phase has seen a spread towards intelligence applications, which are viewed as significant applications of AI in the physical world, with expectations for over-performance in the next 3-5 years [1] - The report highlights that Q4 will see continuous catalysts for intelligence, including the release of Tesla's V14 version, Xiaopeng's technology day in October, and the introduction of new autonomous vehicles by various companies [1] Group 2: Comparison of Q4 Trends - The similarities between this year's Q4 and last year's Q4 lie in the diffusion of AI, but the differences are notable: last year's focus was on the resonance between automotive logic and AI logic, while this year emphasizes the evolution of AI logic [2] - The report suggests that all players have improved their capabilities over the past year, particularly the first-tier players moving towards L4 capabilities, indicating stronger industry realization [2] - This year is expected to focus more on software opportunities and breakthroughs in the B-end market, contrasting with last year's emphasis on hardware opportunities and C-end sales [2]

Core Viewpoint - Qianli Technology has submitted an application for H-share issuance and listing on the Hong Kong Stock Exchange, aiming to enhance its technological capabilities and market presence in the automotive sector, particularly in intelligent driving and smart cockpit solutions [2][4]. Group 1: H-share Issuance - On October 16, Qianli Technology submitted its application for the issuance of overseas listed shares (H-shares) to the Hong Kong Stock Exchange [2]. - The application materials were published on the Hong Kong Stock Exchange's website on the same day [2]. Group 2: Revenue Sources and Technological Solutions - Historically, Qianli Technology's revenue has primarily come from the sale of automobiles, motorcycles, and general machinery [2]. - The company has introduced technological solutions, including intelligent driving, smart cockpit solutions, and Robotaxi solutions [2][3]. Group 3: Intelligent Driving Solutions - Qianli Technology offers a full-stack intelligent driving solution driven by a unique RLM (Reinforcement Learning-Multi-modal) model, supporting L2 to L4 level autonomous driving in complex traffic scenarios [2]. - The product portfolio includes vertical AI models, software, hardware, and closed-loop data systems [2]. Group 4: Smart Cockpit Solutions - The smart cockpit solutions utilize proprietary multi-modal interaction models and AI-native AgentOS to provide a natural user interaction (NUI) experience [3]. - These solutions incorporate advanced hardware, including high-definition displays and premium audio systems, to create a personalized and immersive in-vehicle experience [3]. Group 5: Robotaxi Solutions - Qianli Technology provides end-to-end Robotaxi solutions by integrating L4 level autonomous driving, smart cockpit solutions, and a comprehensive operational support platform [3]. - The platform leverages closed-loop data capabilities to ensure safe, reliable, and scalable operations in complex urban environments [3]. Group 6: Fund Allocation for H-share Issuance - The funds raised from the H-share issuance will be allocated to enhance AI-driven strategies and technological capabilities, including the development of autonomous driving capabilities and smart cockpit enhancements [4]. - Additional allocations will focus on upstream industry chain resource integration, market sales and service network strengthening, and general operational needs [4].