近日，一组2025年新能源车险成绩单出炉：在2025年新能源汽车销量达到1649万辆、同比增长28.2％的背景下，我国新能源商业车险实现签单保费约 1576.1亿元，同比增长33.88％，而相比燃油车，新能源汽车的商业车险投保率更高。更值得一提的是，比亚迪财险在2025年迎来扭亏为盈。 新能源汽车和智能辅助驾驶技术渗透率节节攀升，迫使车险领域加速创新迭代以适应多元化的市场需求，而利好政策的纷至沓来也为行业提供了良好的 创新环境。比如，作为新能源汽车第一城的深圳，近年来在汽车保险科技创新方面持续发力。最近，深圳市地方金融监督管理局发布了《关于保险业助力科 技创新和产业发展的行动方案（2026～2028年）》（公开征求意见稿）（以下简称《行动方案》），向社会公开征求意见。 据悉，《行动方案》旨在通过十六条具体措施，引导保险业为科技创新和产业发展提供全方位风险保障，同时推动保险业自身高质量发展。其中提出， 优化新能源车险供给，研究推出"基本＋变动"新能源车险组合产品。鼓励保险机构主动顺应智能驾驶趋势，与智能驾驶开发商、生产厂商、运营商加强数据 合作，积累风险分析数据，细化智能驾驶车辆保险产品供给。在城市交通等特定场 ...

随着L3级车型的获批准入，中国汽车产业驶入"智驱"新阶段。"智驱新程 芯动未来"新京报第二十届超 级汽车论坛1月30日下午举办，邀请嘉宾参与《车圈圆桌派》，探讨"自动驾驶挺进L3，带来怎样的改 变？"这一热门话题。 余龙 深蓝汽车软件开发总监 张洋 北汽研究总院智能驾驶资深工程师 李至柔 对外经济贸易大学保险法与社会保障法研究中心研究员 责任之变：主体转移下的风险控制 新京报贝壳财经：从辅助驾驶到L3级有条件自动驾驶，有哪些技术难点？ 余龙：一是系统可靠性，二是功能安全和预期功能安全的提升，三是人机接管的边界，四是运行设计域 精细化管理。 L2跨越到L3的本质是辅助驾驶到有条件自动驾驶的突破，意味着责任主体的转移。L2阶段驾驶员是责 任主体，L3阶段责任主体可能是主机厂、系统供应商等。技术难点在于责任主体转移过后，如何把风 险控制到最低。此外，AI决策模型的确立性和可解释性需进一步突破。 张洋：责任归属上，在L2级，责任主体始终是人。而到了L3的限定场景下是系统担责，需要驾驶员介 入时，驾驶员要及时接管车辆，这种责任主体的切换是一个动态、场景化的复杂过程。长尾场景泛化， 在极端天气、道路施工、突发障碍物等低概 ...

三是构建全生命周期服务生态。三方将推动保险服务从传统车险向智能保险、续保管理、出行保障等车生态场景延伸，并深度嵌入金标大众汽车销售与售后 服务全流程。 "我们将聚焦三方面：一是迭代数字化平台，实现投保、理赔无缝衔接；二是深化场景化保险服务包创新；三是完善智能定价体系，推动服务从'数字 化'向'智能化'升级。" 车车科技总裁尚妍妍称。 法巴天星保险总经理朱仁栋表示，期待围绕产品创新、服务闭环与生态共建三大维度，开发契合新能源汽车技术特性的智驾险与场景化产品，整合汽车销 售、保险与售后资源，打造一站式解决方案，树立跨界协同新标杆。（南木） 当前，新能源车险正从规模扩张迈向高质量发展阶段。L3级有条件自动驾驶车型进入量产交付，对风险精准识别与差异化定价提出新要求。此次合作，标 志着车企、险企与科技平台三方协同探索新型车险模式的实质性落地。 根据协议，三方将发挥各自优势：法巴天星保险负责保险产品设计与承保；车车科技提供嵌入式保险SaaS系统，涵盖新能源车险系统开发、智能定价模型开 发、全流程数字化运营及智能理赔；金标大众将推动保险服务深度融入购车、用车等核心场景。合作将重点推进三大方向： 一是创新产品开发。三方将联合 ...

L3级自动驾驶正在加速落地。2025年12月15日，工业和信息化部正式公布我国首批L3级有条件自动驾 驶车型准入许可。到12月末，首批获颁L3号牌的车辆已经在北京、重庆的试点路段上路。 当智驾更进一步，当方向盘开始更多地在人与机器之间切换控制权，延续数十年的车险行业未来又将随 之面临怎样的变化？L3真的到来时，智驾险是否会取代车险成为新的"主角"？ "未来很长一段时间仍会以车险为主，智驾险不会取代现在的车险。"平安产险上海分公司总经理何莹对 第一财经表示。这也是记者采访的多位业内人士的一致判断。但这并不意味着车险市场会一成不变。受 访的业内人士表示，一旦L3大范围铺开，会有更多新的场景出现，从而催生新的保险责任。但同时， 如何定责、数据匮乏等也成为L3下智驾保险发展所要面临的挑战。 车险会被替代吗？ 据了解，平安产险参与了重庆、北京的L3试点车辆保险方案。其中，根据媒体报道，针对L3级自动驾 驶"人机共驾"的独特场景，平安产险北京分公司相关产品为开启L3功能时发生交通事故造成的损失，提 供每座最高200万元的车上人员保额及最高500万元的第三者损失保额，同时覆盖自动驾驶系统缺陷、软 件更新风险、网络安全攻击等 ...

2026.01. 08 本文字数：3876，阅读时长大约6分钟 作者 | 第一财经 杨倩雯 L3级自动驾驶正在加速落地。2025年12月15日，工业和信息化部正式公布我国首批L3级有条件自 动驾驶车型准入许可。到12月末，首批获颁L3号牌的车辆已经在北京、重庆的试点路段上路。 当智驾更进一步，当方向盘开始更多地在人与机器之间切换控制权，延续数十年的车险行业未来又将 随之面临怎样的变化？L3真的到来时，智驾险是否会取代车险成为新的"主角"？ "未来很长一段时间仍会以车险为主，智驾险不会取代现在的车险。"平安产险上海分公司总经理何莹 对第一财经表示。这也是记者采访的多位业内人士的一致判断。但这并不意味着车险市场会一成不 变。受访的业内人士表示，一旦L3大范围铺开，会有更多新的场景出现，从而催生新的保险责任。 但同时，如何定责、数据匮乏等也成为L3下智驾保险发展所要面临的挑战。 车险会被替代吗？ 车险一直是财险市场最重要的险种。金融监管总局数据显示，2025年前11个月，车险累计原保险保 费收入为8432亿元，占财产险公司总保费的52.19%。当前车险格局下，燃油车与新能源车均采 用"交强险+车损险+第三者责任险+ ...

L3级自动驾驶正在加速落地。2025年12月15日，工业和信息化部正式公布我国首批L3级有条件自动驾 驶车型准入许可。到12月末，首批获颁L3号牌的车辆已经在北京、重庆的试点路段上路。 当智驾更进一步，当方向盘开始更多地在人与机器之间切换控制权，延续数十年的车险行业未来又将随 之面临怎样的变化？L3真的到来时，智驾险是否会取代车险成为新的"主角"？ "未来很长一段时间仍会以车险为主，智驾险不会取代现在的车险。"平安产险上海分公司总经理何莹对 第一财经表示。这也是记者采访的多位业内人士的一致判断。但这并不意味着车险市场会一成不变。受 访的业内人士表示，一旦L3大范围铺开，会有更多新的场景出现，从而催生新的保险责任。但同时， 如何定责、数据匮乏等也成为L3下智驾保险发展所要面临的挑战。 车险会被替代吗？ 车险一直是财险市场最重要的险种。金融监管总局数据显示，2025年前11个月，车险累计原保险保费收 入为8432亿元，占财产险公司总保费的52.19%。当前车险格局下，燃油车与新能源车均采用"交强险 +车损险+第三者责任险+附加险"的传统方案；部分L2级车型中，车企与保险公司联合开发的智能辅助 驾驶责任险保障计划（ ...

Core Insights - China's L3 level autonomous driving has transitioned from testing to commercial application, with the first batch of L3 vehicles approved for trial in designated areas of Beijing and Chongqing by December 15, 2025 [1] - This milestone is expected to generate valuable L3 autonomous driving data, facilitating technological upgrades and presenting new opportunities for the auto insurance market [1] Group 1: Autonomous Driving Levels - The classification of driving automation ranges from L0 to L5, with L3 indicating conditional automation where the vehicle can perform driving tasks under specific conditions, transferring responsibility from the driver to the system [2] - The shift from L2 to L3 represents a critical transition in smart driving technology, marking the first time driving responsibility is transferred from the driver to the automated system [2] Group 2: Insurance Implications - Auto insurance products are expected to evolve from "personal consumer insurance" to "product liability insurance" and "technical professional liability insurance," focusing on the reliability of the automated driving system rather than the driver's habits [3] - Insurance companies will need to redefine insurance terms, distinguishing between inherent system defects and external uncontrollable factors that lead to accidents [3] Group 3: Challenges in Insurance Claims - Current intelligent driving insurance products are often supplementary and do not serve as independent main products, primarily focusing on driver and passenger injury compensation rather than third-party liability due to system failures [4] - Key challenges in the insurance claims process include accident responsibility identification, data collection and analysis from autonomous systems, and estimating repair costs for high-tech systems [4] Group 4: Future Directions for Insurance Companies - A comprehensive insurance framework is essential for the widespread application of autonomous driving technology, with a focus on innovative, tiered products that cover new risks such as system failures and cybersecurity [5] - Insurance companies should establish a "vehicle-cloud-insurance" data loop to enhance risk assessment and pricing, and collaborate with automotive manufacturers and regulatory bodies to create unified standards for accident identification and data sharing [5][6]

Core Viewpoint - The evolution of intelligent driving technology is leading to a revolution in transportation, with the recent approval of China's first L3-level vehicle licenses marking a significant step towards the commercialization of L3-level autonomous driving [1] Group 1: Intelligent Driving Technology and Market Developments - The L3-level "conditional automation" mode introduces "human-machine transfer" of driving responsibility, shifting focus to system reliability, algorithm decision-making, and sensor performance [1] - The emergence of "intelligent driving insurance" products in the market is primarily a safety net provided by automakers or intelligent driving solution suppliers, rather than genuine insurance products [2][3] - Companies like Xiaopeng Motors have launched intelligent driving insurance plans, with costs around 239 yuan per year, which require customers to purchase additional insurance from partnered companies [2] Group 2: Insurance Industry's Role and Challenges - Insurance companies play a crucial role in the design and risk control of these insurance products, but most current "intelligent driving insurance" offerings are essentially value-added services rather than independent insurance products [3] - The lack of access to critical driving data held by automakers complicates the ability of insurance companies to develop genuine intelligent driving insurance products [5] - The complexity of liability in "human-machine co-driving" scenarios presents challenges for insurance companies, as existing traffic safety regulations are based on human drivers [5] Group 3: Future Directions and Regulatory Environment - To realize intelligent driving insurance, collaboration across various sectors is necessary, including regulatory frameworks, data governance, and industry cooperation [6] - Policies encouraging the insurance industry to adapt to the impacts of intelligent driving are being developed, with a focus on evolving risk assessment and pricing models [6][7] - Experts emphasize the need for clear definitions and regulations regarding intelligent driving insurance to avoid overlaps with existing insurance products and ensure data transparency [7]

Core Insights - The evolution of intelligent driving technology is leading to a revolution in transportation, with the recent approval of China's first L3-level vehicle licenses marking a significant step towards the commercialization of L3-level autonomous driving [1] - The L3-level "conditional automation" introduces a shift in driving responsibility from human to machine, raising concerns about system reliability, algorithm decision-making, and sensor performance [1] - The emergence of "intelligent driving insurance" products has been noted, but these are primarily safety nets provided by automakers rather than true insurance products [1][2] Group 1: Intelligent Driving Insurance Landscape - Since 2025, there has been a notable increase in insurance products related to assisted and intelligent driving, with companies like Xiaopeng Motors offering "intelligent driving insurance" for an annual fee of 239 yuan [2] - Many of these insurance products require customers to first purchase traditional insurance before accessing additional coverage for intelligent driving scenarios, indicating a trend towards bundled services [2][3] - Current "intelligent driving insurance" products are largely backed by automakers rather than traditional insurance companies, often serving as value-added services rather than independent insurance offerings [3] Group 2: Challenges in Insurance Development - The lack of access to critical driving data held by automakers poses a significant challenge for insurance companies in developing true intelligent driving insurance products [5] - The complexity of responsibility in "human-machine co-driving" scenarios complicates the establishment of clear liability standards, as traditional insurance models are based on human drivers [5][6] - The need for high-quality, standardized data for accurate risk assessment is emphasized, with current data being monopolized by automakers, making it difficult for insurers to evaluate risks effectively [4][5] Group 3: Regulatory and Collaborative Efforts - There is a call for collaborative efforts among insurers, automakers, and technology companies to create a new ecosystem that addresses regulatory frameworks, data governance, and industry cooperation [6][7] - Recent policy signals indicate a push for the insurance industry to adapt to the impacts of intelligent driving, with a focus on evolving risk assessment and pricing models [6][7] - Experts suggest the establishment of a national data-sharing platform and the need for regulatory frameworks to clarify liability in intelligent driving scenarios [6][7]

Group 1 - The Ministry of Industry and Information Technology has officially announced the first batch of L3-level vehicle access permits, marking a significant step towards the commercialization of L3-level autonomous driving in pilot cities like Chongqing and Beijing [1] - L3-level "conditional autonomous driving" introduces a shift in driving responsibility from human to machine, raising concerns about system reliability, algorithm decision-making, and sensor performance [1] - The emergence of "intelligent driving insurance" products in the market is primarily a safety net for car manufacturers or intelligent driving solution providers, rather than genuine insurance products [1] Group 2 - Heng Rui Medicine announced that its SHR-A1904 injection has been included in the list of breakthrough therapeutic varieties by the National Medical Products Administration, highlighting its potential in the ADC drug development field [2] - The ADC drug market is expected to grow significantly, with Chinese companies emerging as global innovation engines in this sector [2] - The A-share market has shown a continuous upward trend, with the MSCI Emerging Markets Index increasing nearly 30% year-to-date, indicating a favorable investment environment for emerging markets [2] Group 3 - The People's Bank of China continues to release liquidity into the market through medium-term lending facilities (MLF), maintaining a "stable and loose" liquidity management approach [3] - In December, the central bank conducted a 400 billion yuan MLF operation, resulting in a net liquidity injection of 1,888 billion yuan, ensuring stable financial market operations at year-end [3] - The total net MLF injection for the year 2025 is projected to exceed 1 trillion yuan, supporting market liquidity [3] Group 4 - The Asian currency market is experiencing significant divergence, with the Japanese yen and South Korean won facing depreciation pressures, while the Chinese yuan shows a strong rebound [4] - Japan and South Korea are actively implementing measures to stabilize their currencies amid unprecedented depreciation pressures [4] - A new climate-related disclosure guideline has been introduced, focusing on governance, strategy, risk management, and metrics for corporate sustainability [4] Group 5 - The low-altitude economy is recognized as a promising future industry, with significant growth potential and increasing investment from capital markets [5] - The development of the low-altitude economy faces challenges such as business model exploration and infrastructure improvement, which need to be addressed for sustainable growth [6] - The IPO underwriting amount for securities firms in 2025 is expected to nearly double year-on-year, indicating a strong market for capital raising [6] Group 6 - A new platform for integrating and acquiring polysilicon production capacity in the photovoltaic industry has been established, aimed at addressing excessive competition [7] - The photovoltaic industry is facing challenges, including a projected decline in domestic demand and uncertainty regarding the impact of rising silicon material prices on downstream prices [7] - The cost increase of auxiliary materials is likely to delay the profitability of downstream battery and component sectors [7] Group 7 - The capital market has seen active financing, with a significant increase in funds raised through private placements, which has benefited securities firms [8] - The total amount raised through private placements by A-share listed companies has increased by over 375% year-on-year, providing more business opportunities for brokers [8] Group 8 - The People's Bank of China is focusing on maintaining capital market stability through various monetary policy tools, emphasizing the importance of supporting the market [9] - In 2025, 111 companies successfully listed on the A-share market, raising a total of 125.32 billion yuan, with a significant portion from strategic emerging industries [9] - Over 200 major asset restructuring announcements have been made in the A-share market, primarily in key sectors such as semiconductors and information technology [9]