Group 1: AI Applications - The global AI competition is intensifying, with model iterations driving deeper application scenarios, and the focus is on whether significant capital expenditures by tech giants can lead to commercial applications [2][3] - The competitive landscape for AI applications is shifting from dominance by OpenAI to a more multipolar environment, with major players like Google and Meta integrating AI into their ecosystems [3] - In China, AI applications are experiencing a breakthrough, with major tech companies accelerating model iterations and application deployments, leading to a transformation from model landing to scenario monetization [5] Group 2: AI Computing Power - Overseas, major cloud service providers are maintaining high capital expenditures, with a projected increase of 67% in 2026, reflecting a strong demand for AI computing power [7][8] - In China, leading tech companies are increasing capital expenditures and accelerating the iteration of domestic large models, promoting the performance of domestic chips amid tightening supply from foreign sources [9] Group 3: Storage - The demand for storage is entering a new super cycle driven by AI training and inference needs, with AI servers consuming significantly more memory than traditional servers [11][16] - Supply constraints are expected to persist, leading to continued high prices for storage components, as major manufacturers shift production focus to advanced memory types [16] Group 4: Commercial Aerospace - Commercial aerospace is becoming a key battleground in US-China competition, with significant policy support and funding initiatives in both countries to accelerate industry development [19][21] - Domestic companies are achieving breakthroughs in satellite mass production and reusable rocket technologies, transitioning from technical validation to commercialization [22] Group 5: Humanoid Robots - Major overseas companies are ramping up production plans for humanoid robots, benefiting domestic component suppliers, with Tesla aiming for a production capacity of 500,000 units by 2026 [27][30] - Chinese manufacturers are leading in humanoid robot shipments, with significant contracts and production milestones achieved in 2025 [30] Group 6: Intelligent Driving - Domestic policies are expected to facilitate the commercialization of L3 autonomous driving in 2026, with several manufacturers preparing to launch L3 models [32][33] - Tesla's Full Self-Driving (FSD) technology is setting the direction for autonomous driving, with significant advancements in AI capabilities [35] Group 7: Energy Storage - The expansion of AI computing power in North America is driving electricity demand, with domestic power equipment expected to accelerate exports [37][40] - China's "14th Five-Year Plan" includes significant investments in the power grid and energy storage, creating a favorable environment for industry growth [40][43] Group 8: Chemicals - The chemical industry is undergoing a transformation driven by policies aimed at supply-side reform, with a focus on optimizing supply structures and reducing excess capacity [44][47] - New economic sectors are boosting demand for chemical materials, particularly in AI, renewable energy, and robotics, leading to a favorable outlook for new materials [47][48]

（原标题：景林资产CEO高云程：买入并持有时代最优秀公司） 各位《中国基金报》的朋友们，大家新年好，我谨代表景林资产在此祝福大家新春快乐、马到成功。 未来，景林既要坚守基本面投资的原则，也要不断迭代学习观察新的技术和商业模式，不急躁也不停滞，和大家一起迎接新的历史机遇。 在此辞旧迎新之际，祝愿大家新年快乐。 旧岁千功皆铸锦，新年万象再更新。春风满径开祥运，福曜临门纳吉辰。 恭祝大家商祺顺遂，财源广聚，岁安人和。 我们刚刚共同度过了一个难忘的蛇年，地缘政治问题复杂且反复，叠加人工智能新技术带来的科技革命，全球格局正在经历再平衡，中美在竞争 中共存的新时代已经到来。 基于实力来制定规则的新国际秩序时代，中国不可能再是规则的接受方。未来将更多地参与国际规则的协商制定，更多的中国企业成为跨国经营 公司是大势所趋。在这样的宏观背景下，我们观察到国际资金在回流中国资产，这个过程才刚开始。当然，现在这种新平衡和过去的全球化时代 是完全不同的，会明显地出现全球两个体系、两套供应链，这也明显增加了企业的经营成本。 在AI人工智能、新能源、智能驾驶、人型机器人等新经济发展的前沿领域，中美各自都在积极投资，相关公司在这个时代大浪潮 ...

长沙晚报全媒体记者 曹开阳 随着除夕的来临，全新的马年正在走近。走过电动化狂飙、价格战白热化的蛇年，马年的中国汽车市场站在了存 量博弈与技术跃迁的十字路口。作为连续多年全球最大汽车市场和第一大汽车出口国，中国车市的每一次波动、 每一项突破，都牵动产业链与千家万户。 智能化方面，L3规模商用普及。国内智能驾驶马年进入无图化、端到端、L3量产三重拐点，政策放开与技术成熟 同步落地。华为乾崑ADS 4.0完成6亿公里仿真测试，将在马年实现高速L3规模商用、城区L4试点，问界、智界、 尚界全系搭载。小鹏汽车确立"物理AI商业化"目标，XNGP全场景智能驾驶覆盖95%城市道路，端到端大模型实 现算法轻量化，成本下探至20万元级车型。小米汽车依托生态优势，智驾系统聚焦城市通勤场景，硬件保守但算 法流畅，成为年轻用户首选。理想、蔚来等同步推进智能驾驶量产，理想瞄准家庭用户全场景安全，蔚来布局高 速与换电协同智驾，形成差异化梯队。 固态电池方面，半固态将批量上车，全固态电池完成小批量验证，续航、安全、补能三大痛点迎刃而解。东风汽 车率先发力，350Wh/kg半固态电池9月量产装车，续航突破1000公里，极寒环境续航保持率超8 ...

内容概要：线控制动是新能源汽车能量回收、智能驾驶的核心底盘技术基础，更是实现制动域与智驾 域、动力域跨域协同的关键枢纽，下游车企针对线控制动系统的性能、安全及冗余设计，提出了远高于 传统制动系统的严苛要求，且随着高阶智驾的加速普及，进一步拔高了制动系统在动态响应、精准控 制、故障容错等维度的检测标准，直接推动检测装备从"基础性能检测"向"全工况、高精准、多协同"检 测升级，带来检测装备需求量价齐升，据统计，2024年我国线控制动系统检测装备行业市场规模达2.7 亿元，同比增长68.8%。 相关企业：杭州沃镭智能科技股份有限公司、卓越（苏州）自动化设备有限公司、博世汽车部件（苏 州）有限公司、是德科技（中国）有限公司、泰瑞达（上海）有限公司、苏州凌创电子系统有限公司 关键词：线控制动系统检测装备行业发展历程、线控制动系统检测装备行业产业链、线控制动系统检测 装备行业发展背景、线控制动系统检测装备市场规模、线控制动系统检测装备竞争格局、线控制动系统 检测装备发展趋势 一、概述 二、发展历程 相关上市企业：中国汽研（601965）、机器人（300024）、东方中科（002819） 我国线控制动系统检测装备行业的发展 ...

Core Viewpoint - Zhejiang Shibao's stock price reached the daily limit due to the strengthening of the smart driving concept, driven by recent policy developments in Shanghai regarding autonomous driving testing roads and national standards for intelligent connected vehicles [2]. Group 1: Company Performance - Zhejiang Shibao's stock price increased by 10.02%, reflecting strong market sentiment towards the smart driving sector [1]. - The company is actively involved in the automotive steering system manufacturing, with its line control chassis and new energy vehicle components closely related to the smart driving theme [2]. Group 2: Industry Developments - The Shanghai Municipal Intelligent Connected Vehicle Testing and Demonstration Promotion Working Group released a report indicating that by the end of 2025, 5,238.82 kilometers of autonomous driving testing roads will be opened, which catalyzes interest in the smart driving sector [2]. - The Ministry of Industry and Information Technology is soliciting opinions on five mandatory national standards, including safety requirements for autonomous driving systems, further enhancing market focus on the intelligent connected vehicle industry [2]. Group 3: Market Sentiment and Capital Flow - On February 12, Zhejiang Shibao experienced a net outflow of 69.74 million yuan in principal funds, but quickly hit the daily limit on February 13, indicating a market sentiment-driven influx of capital [3].

Core Viewpoint - Zhejiang Shibao (002703) A-shares reached a limit-up on February 13, 2026, closing at 22.94 yuan with a rise of 10.02%, while its H-shares also increased by 9.75% [2]. Stock Price Movement Reasons - The stock price fluctuation was primarily influenced by the strengthening of the smart driving concept, as the Ministry of Industry and Information Technology publicly solicited opinions on five mandatory national standards, including "Safety Requirements for Automatic Driving Systems of Intelligent Connected Vehicles," which heightened market interest in the intelligent connected vehicle industry chain [3]. - Additionally, a recent report from the Shanghai Intelligent Connected Vehicle Testing and Demonstration Promotion Working Group indicated that by the end of 2025, Shanghai will have opened 5,238.82 kilometers of automatic driving testing roads, further catalyzing sentiment in the sector [3]. Recent Stock Performance - As a manufacturer of automotive steering systems, Zhejiang Shibao's business in steer-by-wire chassis and components for new energy vehicles is highly relevant to the smart driving theme, leading to active performance driven by sector sentiment [4]. - Despite a net outflow of main funds on February 12, market sentiment dominated on February 13, resulting in a rapid inflow of funds that pushed the stock price to the limit-up [4].

Group 1 - The Ministry of Industry and Information Technology has announced the development of five mandatory national standards for intelligent connected vehicles, marking a significant policy boost for the industry [1] - The draft standards aim to establish a new phase of "safe, compliant, and orderly development" for the intelligent driving industry in China, providing a solid foundation for the regulation of advanced autonomous driving [1] - The draft clarifies key terms and definitions related to autonomous driving systems, detailing technical requirements and safety standards, particularly for critical aspects such as task handover and testing environments [1] Group 2 - Youjia Innovation has developed comprehensive intelligent driving technology capabilities from L1 to L4, continuously improving its product matrix and launching the iPilot 4 series of mid-to-high-level intelligent driving solutions [2] - The company’s products are capable of meeting the technical requirements outlined in the new standards, particularly for L3 additional requirements, and have successfully implemented scenarios in various cities [2] - Youjia Innovation's DMS (Driver Monitoring System) solutions align with the new standards, ensuring seamless interaction with autonomous driving systems by monitoring driver readiness [2][3] Group 3 - Since 2019, Youjia Innovation has built a strong advantage in DMS technology development and production, becoming one of the first suppliers to help manufacturers obtain EU safety certifications [3] - The company is among the few in the industry to advance both L2 and L4 technologies while achieving deep collaboration in cockpit solutions, positioning itself to leverage policy benefits for market expansion [3] - The advancement of these policies represents a significant opportunity for Youjia Innovation to enhance its core value and gain a first-mover advantage in the evolving regulatory landscape [3]

Core Viewpoint - Horizon has announced a strategic partnership with CATL's subsidiary, Times Intelligent, which signifies a significant collaboration in the automotive technology sector, particularly in smart driving and battery systems [1][12]. Group 1: Strategic Partnership - The partnership involves Times Intelligent providing its Rock Solid chassis products and technology, which enhances battery integration efficiency and allows for concurrent development with vehicle body and smart driving modules [13]. - Horizon will contribute its full-scene assisted driving products and solutions, including the recently launched Horizon HSD, marking a significant step in automotive intelligence [13][14]. - This collaboration is expected to help both companies reduce costs and improve competitiveness in the industry [14]. Group 2: Leadership Changes - Zhu Wei has been appointed as the new president of Horizon, previously serving as the executive president at CATL, indicating a strategic shift towards commercialization [3][19]. - The former president, Chen Liming, will transition to the role of vice chairman, focusing on major strategic decisions and governance improvements [3][19]. - Zhu Wei's extensive experience in sales and partnerships within the electric vehicle sector is anticipated to accelerate Horizon's market penetration and enhance its operational capabilities [16][19]. Group 3: Market Position and Challenges - Horizon has achieved a market share of approximately 46% in the ADAS market as of the first half of 2025, becoming the first domestic brand to exceed a cumulative shipment of 10 million smart driving chips [22]. - Despite this success, Horizon faces challenges such as increasing competition, price wars, and dependency on major clients, with 71.8% of its revenue in 2024 coming from its top five clients [28][29]. - The company is also under pressure to innovate and reduce costs, as competitors are rapidly advancing in technology and pricing strategies [24][31]. Group 4: Future Outlook - Horizon aims to expand its presence in the international market, leveraging Zhu Wei's experience to navigate competitive landscapes against global giants like Qualcomm and NVIDIA [18][31]. - The company has set ambitious goals for the next few years, including a target of producing 10 million HSD units and significantly enhancing smart driving capabilities in urban environments [34]. - To achieve these objectives, Horizon will need to invest in research and development, streamline costs, and accelerate the commercialization of its products [34].

格隆汇2月13日丨宇通客车(600066.SH)在互动平台表示，在智能驾驶方面，公司在海外市场完成了满足 欧洲GSR法规产品的发布及配置上车，在国内市场完成了L2级辅助驾驶功能开发，并针对客车运营特 点和城市道路复杂工况，实现规模化推广，不断提升客车城市运行环境下的安全性。 ...

作为奇瑞汽车全球技术创新中心的智驾中心国际交付部主任工程师，李坤鹏主要负责国际高阶智驾方案的量产交付，为了确保海外智能新能源汽车的高 质量交付，李坤鹏和同事们确立了"专业、协同、务实，目标及结果导向"的工作准则，拿出了不错的工作成果。 受国内汽车市场竞争的影响，智驾中心工作节奏也越来越快，研发流程体系也在向敏捷化、客户需求导向转变；用户的需求日新月异，也推动研发部门 对产品的迭代更加迅速。 专业、协同、务实，目标及结果导向 2025年，中国汽车出口超过700万辆，再上一个新台阶。智能化、电动化成为中国汽车出口的重要推动力。奇瑞作为中国汽车出口的领军企业，2025年 的出口量达到134.4万辆，占奇瑞汽车当年总销量的近一半。智能新能源汽车竞争力的快速提升，支撑奇瑞汽车在国内国际两个市场快速开拓。 随着销量的大幅增长，奇瑞汽车也在不断加大研发投入，提升技术水平。智驾中心在智驾方面也取得了很多新突破，如更先进的自动驾驶算法、更智能 的驾驶辅助系统等。李坤鹏表示，"这些新技术的应用，不仅让车辆的安全性和舒适性得到了显著提升，也为整个汽车行业的发展提供了新的思路和方向。" 在李坤鹏看来，对于企业来说，销量的增长和技术的 ...