（文章来源：每日经济新闻） 中信建投指出，科技属性及新兴成长方向是核心主线。广州车展期间，多车企发布2026年新款车型，广 汽与华为合作品牌"启境"上市175天大定突破1.8万台，2026年华为新车大年值得关注。小鹏、广汽、长 安等车企展出自研机器人产品，2026年伴随特斯拉FSD V14、Robotaxi、Optimus等技术迭代量产，汽车 及机器人作为物理AI核心应用有望催生产业趋势拐点，整车科技属性或重估。 智能汽车ETF（159889）跟踪的是CS智汽车指数（930721），该指数从沪深市场中选取涉及智能化技 术、汽车零部件及服务等业务的上市公司证券作为指数样本，以反映智能汽车相关上市公司证券的整体 表现及行业发展趋势。 ...

Core Insights - The intelligent automotive industry in China has entered the AI Driving 2.0 phase, with accelerated technological iteration [1] - The VLA (Vision-Language-Action) technology architecture, represented by companies like Li Auto and Yuanrong Qihang, breaks the limitations of traditional end-to-end models by integrating three modalities to enhance system interactivity and long-term reasoning capabilities [1] - The industry is transitioning from rule-driven to data-driven approaches, although there are still concerns regarding technological pathways, investment returns, and policy implementation risks [1] Industry Developments - Huawei's ADS 4.0 adopts the WEWA architecture, emphasizing cloud simulation and vehicle model collaboration to create a direct cognitive model of the physical world, enabling rapid response and high safety redundancy [1] - Horizon Robotics and Momenta focus on one-stage end-to-end systems combined with reinforcement learning to enhance the human-like experience of intelligent driving systems [1] Investment Opportunities - The Intelligent Automotive ETF (159889) tracks the CS Intelligent Automotive Index (930721), which selects representative listed companies in the intelligent driving and vehicle networking sectors from the A-share market [1] - The index aims to reflect the overall performance of securities related to intelligent automotive companies, showcasing the industry's diversity and broad characteristics [1]

（文章来源：每日经济新闻） 智能汽车ETF（159889）跟踪的是CS智汽车指数（930721），该指数从A股市场中选取涉及智能驾驶、 车联网等领域的代表性上市公司证券作为指数样本，以反映智能汽车产业链相关上市公司证券的整体表 现。指数覆盖从硬件到软件的多个产业环节，全面展现智能汽车行业的广泛性和多样性特征。 上海证券指出，工信部在2025世界动力电池大会上强调将持续推动动力电池产业高质量发展，重点包括 编制"十五五"智能网联新能源汽车发展规划、扩大动力电池应用场景（支持换电模式创新和车网互动试 点）、健全动力电池碳管理体系等。10月汽车产销数据显示，新能源车销量占比首次过半（达 51.6%），自主品牌乘用车市占率达72.5%，出口量同比增长22.9%至66.6万辆，行业延续良好发展态 势。东风汽车新一代固态电池技术亮相，能量密度达350Wh/kg，计划2026年9月量产，将助力实现1000 公里续航。政策支持与技术突破为智能汽车行业提供长期发展动能。 ...

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]

Core Insights - The application of large models is transitioning from assistance (Copilot) to execution (Agent) and decision-making (Intelligence), allowing AI applications to independently plan task paths and make decisions [1] Group 1: AI Integration and Development - The State Council has proposed that by 2027, artificial intelligence will be deeply integrated with key sectors, with the penetration rate of smart terminals exceeding 70% [1] - In the smart automotive sector, the penetration rate of L2+ is accelerating, marking the first year of implementation for advanced driving by traditional car manufacturers [1] - The focus in the L4 domain is on the commercialization turning point of Robotaxi [1] Group 2: Industry Trends and Opportunities - The direction of AI + consumption is clear, with smart connected vehicles being prioritized as the next generation of smart terminals [1] - The autonomous driving industry chain is viewed positively, with three main lines of development: domestic substitution, regulatory strengthening, and international expansion, driven by technology [1] Group 3: Investment Vehicles - The Smart Car ETF (159889) tracks the CS Smart Car Index (930721), which selects listed companies involved in smart driving and vehicle networking from the A-share market [1] - The index covers multiple segments of the industry chain, from hardware to software, and primarily includes companies in the information technology and consumer discretionary sectors, reflecting the overall performance and diversity of smart automotive-related listed companies [1]

Group 1 - The core viewpoint indicates that the automotive industry is experiencing robust growth, with a projected sales volume of approximately 2.857 million vehicles in August 2025, reflecting a month-on-month increase of 10.1% and a year-on-year increase of 16.4% [1] - New energy vehicle sales are expected to reach around 1.395 million units, achieving a market share of 48.8%, driven by supportive policies and increasing demand for electric vehicles [1] - The trend towards smart vehicles is significant, with companies like Huawei collaborating with automakers such as BAIC and GAC to develop high-end smart car brands, enhancing technologies like intelligent driving and smart cockpits [1] Group 2 - The electric and intelligent components sector is gaining attention, particularly in the AIDC liquid cooling supply chain, with companies like Joyson Electronics receiving substantial fixed-point orders, highlighting opportunities for technological upgrades in the industry [1] - The Smart Car ETF (159889) tracks the CS Smart Car Index (930721), which selects listed companies involved in smart driving and vehicle networking from the A-share market, covering the entire industry chain from hardware to software [1]

Group 1 - The core viewpoint of the article emphasizes that smart cars are a revolutionary terminal in the AI era, characterized by decentralization and technological equity, which will transform social productivity and relationships [1] - The shift in the AI era is moving from "traffic is king" to "product is king," indicating that the value of smart cars will depend on their complexity in helping humans complete tasks rather than user scale [1] - The Robotaxi market is projected to reach a scale of 83.1 billion yuan by 2030 and increase to 709.6 billion yuan by 2035, highlighting significant growth potential in the industry [1] Group 2 - The smart car ETF (159889) tracks the CS Smart Car Index (930721), which selects listed companies involved in smart car terminal perception and platform applications from the Shanghai and Shenzhen markets [1] - The index components cover multiple sub-sectors closely related to the development of smart car technology, including but not limited to autonomous driving and vehicle networking [1] - Key elements in the industry chain include chips, algorithms, and data closed-loop capabilities, with technology providers and operators expected to become the core profit segments [1]

Core Insights - The automotive industry is experiencing a favorable shift towards leading manufacturers with strong product cycles, particularly in the high-end domestic brand market, which is seen as a blue ocean opportunity [1] - The year 2026 is projected to be pivotal for increasing the penetration rate of domestic brands in the market segment above 300,000 yuan [1] - The low penetration rate in the intelligent driving sector is identified as a significant growth area, with the L4 intelligent driving industry reaching a turning point in costs and technology this year [1] Industry Trends - The upcoming release of the L2 strong standard consultation draft indicates national endorsement, making intelligence a quantifiable brand strength [1] - Focus areas include intelligent testing processes and the operation segments of L3-L4 intelligent driving [1] - The trend of going global is becoming a core driver for performance growth in quality automotive parts and components companies, which are expected to possess competitive advantages and business expansion capabilities [1] Investment Opportunities - The Smart Car ETF (159889) tracks the CS Smart Car Index (930721), which selects listed companies involved in intelligent driving and vehicle networking from the A-share market [1] - The index reflects the overall performance of listed companies related to the smart automotive sector, with a focus on information technology and consumer discretionary sectors [1] - The industry configuration demonstrates comprehensive coverage of the smart automotive supply chain from hardware to software [1]

Group 1 - The article highlights the recovery of the third batch of "old-for-new" national subsidies in August, anticipating a strong automotive market in September and October, known as "Golden September and Silver October" [1] - Current tax exemption for new energy vehicles is 30,000 yuan, which will be adjusted to a 50% reduction (15,000 yuan) in 2026-2027, indicating a shift in government policy [1] - The article suggests that the automotive industry is experiencing a "de-involution" alongside a preemptive demand for new energy vehicles, benefiting strong new car cycles and high-end brands priced above 300,000 yuan [1] Group 2 - The L2 autonomous driving national standard is expected to be implemented soon, further strengthening industry trends under concentrated catalysts [1] - The commercial vehicle sector is seeing a recovery in domestic demand and an increase in overseas exports, leading to better-than-expected performance from leading companies in the first half of the year [1] - The L4 autonomous driving industry is approaching a turning point in costs and technology, with ongoing evolution in technology iterations, industry structure, and new business models [1] Group 3 - The Smart Car ETF (159889) tracks the CS Smart Car Index (930721), focusing on high-quality listed companies closely related to core technologies in smart driving and vehicle networking [2] - The index's component stock weight distribution is 31.0%, 20.6%, and 16.6%, covering core aspects of the smart car industry chain, including perception, decision-making, and execution layers [2] - The index systematically reflects the overall performance of listed companies in the smart car sector [2]

Group 1 - The core viewpoint emphasizes the long-term opportunities in the smart automotive industry, focusing on the rise of domestic brands and the trend towards electric intelligence [1] - The global status of domestic automotive brands is improving, with three main types of companies involved: traditional automakers actively transforming, new force brands, and technology companies transitioning into automotive [1] - By 2025, it is expected that more vehicles will be equipped with lidar, domain controllers, and L2+ level models will enter mass production, marking the beginning of L3 high-level intelligent driving [1] Group 2 - The incremental components in the industry are developing along two main lines: data flow (sensors, domain controllers, etc.) and energy flow (power batteries, electric drive systems, etc.) [1] - The industry is transitioning from a growth phase to a maturity phase, with an expected annual compound growth rate of 2% over the next 20 years, and sales of new energy vehicles are projected to exceed 15.5 million units in 2025, representing a year-on-year growth of over 25% [1] - The Smart Automotive ETF (159889) tracks the CS Smart Automotive Index (930721), which selects listed companies involved in smart driving and vehicle networking technologies to reflect the overall performance of quality enterprises in the smart automotive sector [1]