北京商报讯（记者 胡永新）12月26日，北京商报记者获悉，近日，北京首批L3级高速公路自动驾驶车 辆专用号牌正式核发，中国平安财产保险股份有限公司北京分公司（以下简称"平安产险北京分公司"） 在国家金融监管总局北京监管局指导下，全程深度参与保障工作，为北京首张L3级自动驾驶号牌顺利 落地筑牢风险防护屏障。 据悉，前期在北京市金融监管局统筹指导下，平安产险北京分公司联合两家机构组建专项小组，紧扣项 目进展深耕智能驾驶保险领域，积极响应国家新能源产业发展导向。此次深度参与L3级自动驾驶号牌 落地保障工作，是平安产险北京分公司智能驾驶保险方案从"构想"到"商业落地"的关键突破，充分彰显 其专业的保险服务能力与创新实力。 平安产险北京分公司表示，未来，将持续在北京市金融监管局指导下，深化与保险同业、车企、技术机 构等多方协作，不断迭代优化智能驾驶保险产品与服务方案，为新能源与智能网联汽车产业高质量发展 持续注入保险动能。 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，更精准覆盖自 动驾 ...

Core Viewpoint - The introduction of L3-level autonomous driving vehicles marks a significant step towards commercialization in China, presenting new opportunities and challenges for the insurance industry [1][2]. Group 1: Current Market Situation - The intelligent driving insurance market is still in its early stages, with a notable gap in dedicated products; only a few automakers have partnered with insurance companies to offer customized coverage [2][3]. - Companies like NIO and Xiaomi have launched related services, but these are not standalone insurance products and primarily serve as supplementary coverage [2][3]. - The insurance offerings currently available are often framed as value-added services rather than independent insurance policies, indicating a lack of comprehensive coverage [3]. Group 2: Industry Challenges and Needs - The insurance industry is urged to develop dedicated intelligent driving insurance products to fill the existing market void, as current offerings do not adequately address the unique risks associated with autonomous driving [3][4]. - The shift towards L3-level autonomous driving is expected to drive a new wave of demand in the automotive insurance market, necessitating customized insurance products that reflect the characteristics of autonomous vehicles [3][4]. Group 3: Evolving Risk Landscape - The transition to intelligent driving is reshaping the risk landscape, extending coverage needs beyond drivers to include automakers, software, and component suppliers [5][6]. - Traditional insurance models may not be suitable for the new risks introduced by autonomous driving, such as liability issues arising from software failures or accidents involving driverless vehicles [6][7]. - The complexity of liability distribution among drivers, manufacturers, and software providers under L3-level driving necessitates a reevaluation of existing insurance products and legal frameworks [6][7]. Group 4: Recommendations for the Insurance Industry - Insurance companies are encouraged to collaborate with automakers, technology firms, and regulatory bodies to establish standards and clarify liability issues, which will aid in developing appropriate insurance products [7]. - Utilizing technologies like blockchain and AI can enhance data security and improve claims processing efficiency, ensuring clear compensation standards and reducing disputes [7].

首批L3车型上路，一场关于责任、风险与创新的变化或逐步展开。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，两款 分别适配城市拥堵、高速路段的车型将在北京、重庆指定区域开展上路试点，标志着我国L3级自动驾驶从测试阶段迈入商业化应用的关键一步。业内一致 认为，此次获批将带动新出行、新保险等衍生业态发展。 其实，政策层面早已释放出行业可以提前布局的信号。今年1月，国家金融监督管理总局、工业和信息化部等四部门发布的《关于深化改革加强监管 促进新 能源车险高质量发展的指导意见》明确提出，要统筹保险行业力量，全面系统研究智能驾驶、车型快速迭代等对车险经营的中长期影响，及早谋划转型发 展。 "保险业要适应智能化趋势下风险的变化，在模型的优化完善、保险产品创新服务方面，让保障更全面、更公平，也让汽车的价值更安全。"在2025金融街论 坛年会"中欧保险创新论坛"上，中国银行保险信息技术管理有限公司副总裁王罡表示。 保障缺口明显，市场空白待填补 当自动驾驶技术从炫酷的"可用"概念迈向日常的"常用"工具之际，传统保险体系正直面一场新的挑战。 这场由代码和算法驱动的出行革命，在引发无限遐想的同时，也将 ...

Core Insights - The rise of smart vehicles is reshaping the automotive industry and presenting significant opportunities and challenges for insurance services [1] - The penetration rate of new cars with Level 2 (L2) driving assistance functions in China reached 62.58% from January to July this year, with predictions indicating that over 90% of new cars will have L2 or higher capabilities in about ten years [1] - Regulatory bodies are emphasizing the need for the insurance industry to adapt to the impacts of smart driving and rapid vehicle model iterations [1][2] Group 1: Opportunities in Smart Driving Insurance - The insurance industry is expected to innovate products to meet new demands arising from smart driving technologies, shifting responsibility from human drivers to technology [1][4] - There is a vast potential for insurance products based on traditional car insurance, with extensions for smart driving responsibilities, including software/hardware failures and cybersecurity risks [4][7] - The establishment of a cross-industry communication platform for smart driving insurance is underway, aiming to connect insurance companies and the automotive industry [2] Group 2: Challenges in Smart Driving Insurance - The complexity of responsibility identification in smart driving accidents poses significant challenges for insurance companies, as multiple parties are involved [5][8] - The current smart driving insurance market in China is characterized by small premium volumes, low policy counts, and high uncertainty regarding risks [8] - Many existing "smart driving insurance" products are more service-oriented rather than traditional insurance contracts, indicating a need for regulatory clarity [8] Group 3: Market Trends and Innovations - Customized and exclusive insurance products are emerging, driven by the unique risk characteristics of different vehicle models and software versions [6][7] - Insurance companies are collaborating with automakers to embed insurance into the usage and activation scenarios of smart features, enhancing customer retention [4][6] - The insurance value chain is evolving from mere risk compensation to a model that includes services, risk control, and data-driven pricing [7]

Core Viewpoint - The rise of fake car insurance has become a significant concern, particularly for electric vehicle owners, who may confuse service products with legitimate insurance policies [1][3][4] Group 1: Identification of Fake Insurance - Fake car insurance often uses terms like "guarantee" or "service" instead of "insurance," and the premiums are significantly lower than standard car insurance [3][4] - Many consumers have mistakenly believed that service products, such as "motor vehicle loss guarantee," are legitimate insurance, leading to denied claims when seeking compensation [3][4] - The contracts associated with these fake products are not legally recognized as insurance contracts and lack the protections afforded by insurance law, increasing the risk of claim denial [3][4][5] Group 2: Consumer Awareness and Identification - Consumers should be vigilant and recognize that legitimate insurance policies are issued by licensed insurance companies, while fake policies often come from service or logistics companies [4][5] - Payment for legitimate insurance is made to the insurance company's official account, whereas fake insurance may involve payments to non-insurance entities or individuals [4][5] - Verification of insurance policies can be done through official channels or apps, which is not possible with fake policies [4][5] Group 3: Regulatory and Industry Response - Regulatory bodies need to enhance qualification reviews and legal frameworks to combat illegal operations in the insurance sector [6] - The insurance industry should promote self-regulation and improve consumer education to enhance risk identification capabilities [6] - The introduction of the "Car Insurance Easy to Insure" platform aims to facilitate the insurance process for electric vehicle owners, ensuring they can access legitimate insurance options [8] Group 4: Innovations in Insurance Products - Electric vehicle manufacturers are increasingly integrating insurance services into their business models, offering unique products that combine insurance with additional services [9][10] - Companies like BYD and NIO are developing innovative insurance products that leverage their technological advantages and provide comprehensive coverage [9][10] - Despite the advancements, challenges remain in defining responsibilities, data availability, and consumer understanding, necessitating collaboration and talent development within the industry [10]