当前，互联网时代信息过载严重，汽车行业深陷内卷泥沼，传统营销模式效果弱化。金轩奖评审团主席肖明超指出，如今中国消费者已迈入"品质精算时 代"，需求呈现"既要满足基础需求，又要收获全新体验；既要获得体感舒适，又要拥有情感愉悦"的多元叠加特征，这使得营销的核心命题转变为"意义再造 与价值重构"。 场景实验室创始人吴声提出，营销应聚焦"温度、刻度、态度"三维价值，其中"温度"绝非简单的全天候24小时关怀，而是基于AI技术平权与普惠的深层价 值；"刻度"并非意味着参数的极致堆砌，更多是被场景激活的瞬间，这种体验应渗透在用户用车的全过程。 值得关注的是，颁奖典礼上，主办方《汽车商业评论》杂志发布了轩辕矩阵全新架构。该矩阵由产业服务、产业评价、产业传播三大板块构成，包含6大媒 体、3大奖项、2大论坛、1所商学院、1个协会和1个智库，形成"产业服务+权威评价+全维传播"的三维闭环。其中，三大奖项覆盖整车、零部件、营销全领 域，产业服务板块通过特色课程、智库、论坛等培育行业人才，传播矩阵实现产业链全域覆盖，为汽车营销行业提供支撑。 具体来看，大众中国、丰田中国获得公益与可持续发展类金奖；五菱获创意作品类金奖；梅赛德斯-奔驰、 ...

证券代码：601633 证券简称：长城汽车 公告编号：2026-006 会议审议决议如下： 一、审议《关于不向下修正"长汽转债"转股价格的议案》 （详见《长城汽车股份有限公司关于不向下修正"长汽转债"转股价格的公告》） 审议结果：8票同意、0票反对、0票弃权，该议案通过。 特此公告。 转债代码：113049 转债简称：长汽转债 长城汽车股份有限公司董事会 长城汽车股份有限公司 第八届董事会第四十六次会议决议公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容 的真实性、准确性和完整性承担法律责任。 2026年1月23日，长城汽车股份有限公司（以下简称"本公司"或"公司"）以书面传签方式召开第八届董 事会第四十六次会议，应出席董事8名，实际出席董事8名，会议资料已提前以电子邮件形式发出，符合 《中华人民共和国公司法》及《长城汽车股份有限公司章程》的规定。 重要内容提示： ● 自2026年1月5日至2026年1月23日，公司A股股票价格已出现在任意连续三十个交易日中至少有十五 个交易日的收盘价低于当期转股价格的85%的情况，已触发"长汽转债"的转股价格向下修正条款。 ● ...

| 证券代码：601633 | 证券简称：长城汽车 | 公告编号：2026-007 | | --- | --- | --- | | 转债代码：113049 | 转债简称：长汽转债 | | 长城汽车股份有限公司 关于不向下修正"长汽转债"转股价格的公告 3、由于公司①2020年股权激励计划首次授予股票期权第一个行权期自主行权、② 2020年股权激励计划首次授予及预留授予部分限制性股票回购注销，2021年11月11日起， "长汽转债"转股价格由38.00元/股调整为38.01元/股，详见公司于2021年11月10日披 露的《关于"长汽转债"转股价格调整的公告》。 4、由于公司①2020年股权激励计划首次授予股票期权第一个行权期自主行权、② 2020年股权激励计划首次授予部分限制性股票回购注销、③2020年股权激励计划首次授 予股票期权第二个行权期及预留授予股票期权第一个行权期自主行权、④2021年度权益 分派实施，2022年5月20日起，"长汽转债"转股价格由38.01元/股调整为37.89元/股， 详见公司于2022年5月13日披露的《关于"长汽转债"转股价格调整的公告》。 本公司董事会及全体董事保证本公告内容 ...

2026年1月23日，长城汽车股份有限公司（以下简称"本公司"或"公司"）以书面 传签方式召开第八届董事会第四十六次会议，应出席董事8名，实际出席董事8名，会议 资料已提前以电子邮件形式发出，符合《中华人民共和国公司法》及《长城汽车股份有 限公司章程》的规定。 会议审议决议如下： 一、审议《关于不向下修正"长汽转债"转股价格的议案》 | 证券代码：601633 | 证券简称：长城汽车 | 公告编号：2026-006 | | --- | --- | --- | | 转债代码：113049 | 转债简称：长汽转债 | | 长城汽车股份有限公司 第八届董事会第四十六次会议决议公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重 大遗漏，并对其内容的真实性、准确性和完整性承担法律责任。 （详见《长城汽车股份有限公司关于不向下修正"长汽转债"转股价格的公告》） 审议结果：8 票同意、0 票反对、0 票弃权，该议案通过。 特此公告。 长城汽车股份有限公司董事会 2026年1月23日 1 ...

香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性或完整性亦不發表任何 聲明，並明確表示，概不對因本公告全部或任何部份內容而產生或因倚賴該等內容而引致的任何損失承擔任何責任。 承董事會命 長城汽車股份有限公司 公司秘書 李紅栓 李紅栓 公司秘書 中國河北省保定市，2026 年 1 月23日 長 城 汽 車 股 份 有 限 公 司 GREAT WALL MOTOR COMPANY LIMITED* （於中華人民共和國註冊成立的股份有限公司） 股份代號：02333（港幣櫃台）及82333（人民幣櫃台） 海外監管公告 此海外監管公告是根據香港聯合交易所有限公司證券上市規則第 13.10B 條發出。以下為長城汽 車股份有限公司於上海證券交易所網站（www.sse.com.cn）所刊發之「長城汽車股份有限公司關 於不向下修正"長汽轉債"轉股價格的公告」。 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重 大遗漏，并对其内容的真实性、准确性和完整性承担法律责任。 重要内容提示： 於本公告日期，董事會成員如下： 非執行董事：何平先生。 獨立非執行董事： 樂英女士、 輝 ...

香港交易及結算所有限公司及香港聯合交易所有限公司對本公告的內容概不負責，對其準確性或完整性亦不發表任何 聲明，並明確表示，概不對因本公告全部或任何部份內容而產生或因倚賴該等內容而引致的任何損失承擔任何責任。 長 城 汽 車 股 份 有 限 公 司 GREAT WALL MOTOR COMPANY LIMITED* （於中華人民共和國註冊成立的股份有限公司） 股份代號：02333（港幣櫃台）及82333（人民幣櫃台） 中國河北省保定市，2026 年 1 月23日 於本公告日期，董事會成員如下： 執行董事： 魏建軍先生、趙國慶先生及李紅栓女士。 职工董事：盧彩娟女士。 非執行董事：何平先生。 獨立非執行董事： 樂英女士、 輝先生及鄒兆麟先生。 海外監管公告 此海外監管公告是根據香港聯合交易所有限公司證券上市規則第 13.10B 條發出。以下為長城汽 車股份有限公司於上海證券交易所網站（www.sse.com.cn）所刊發之「長城汽車股份有限公司第 八屆董事會第四十六次會議決議公告」。 承董事會命 長城汽車股份有限公司 公司秘書 李紅栓 李紅栓 公司秘書 （详见《长城汽车股份有限公司关于不向下修正"长汽转债"转股价 ...

Core Viewpoint - The automotive production paradigm is undergoing a significant transformation, with Great Wall Motors launching the "Guiyuan Platform," which is defined as the world's first native AI all-powertrain automotive platform, aiming to produce 51 models across five powertrain types and seven categories [4][5]. Group 1: Platform Features - The Guiyuan Platform emphasizes extreme modularity and full powertrain compatibility, breaking down the vehicle structure into 49 core modules and 329 common components, allowing for versatile vehicle configurations like sedans, SUVs, MPVs, and pickups [5][6]. - The platform achieves an 80% commonality rate for vehicle parts and reduces the R&D cycle by approximately 30%, significantly lowering costs across vehicle development, production, and ownership [4][5]. Group 2: Market Strategy - Great Wall Motors is shifting its strategy from scale dependency to seeking higher profit margins with a reduced sales target for 2026, lowering the employee stock plan's sales target from 2.49 million to 1.8 million units while maintaining a net profit goal of 10 billion yuan [7]. - The company plans to launch high-end products priced between 200,000 to 400,000 yuan, with the average domestic product price already reaching 200,000 yuan compared to competitors at around 130,000 yuan [8]. Group 3: Competitive Landscape - The automotive industry is expected to transition from a price war to a competition based on quality, configuration, brand, functionality, technology, and innovation, as highlighted by industry experts [8][10]. - Great Wall Motors is focusing on its Hi4-PHEV system, which features an 800V high-voltage architecture and aims to establish a technological barrier against low-threshold competitors, particularly in the high-end and multi-purpose market segments [9][10]. Group 4: Future Outlook - The competition in the automotive sector post-2026 is anticipated to prioritize efficiency and ecological balance over single-dimensional price competition, leading to a more resilient manufacturing system [10][11]. - The Guiyuan Platform represents Great Wall's strategy to simplify complexities in the market and enhance production efficiency, addressing the fragmented market demands and future sales volatility [11].

Core Insights - The autonomous driving industry is undergoing significant upheaval, highlighted by the suspension of operations at the unicorn company Haomo Technology, which had previously achieved a valuation exceeding $1 billion [1] - Safety concerns are intensifying public distrust in autonomous driving, with notable incidents such as a fatal accident involving Tesla's Autopilot and a pedestrian collision involving a Robotaxi in China [1] - The current landscape features nearly 500 domestic autonomous driving companies, indicating a seemingly thriving sector, yet underlying challenges such as capital withdrawal, technological bottlenecks, and safety anxieties persist [1] Group 1: Technology and Safety - The debate over the technical route of intelligent driving centers on how to safely advance towards full autonomy, with Tesla's pure vision approach contrasting with the multi-sensor fusion strategies of companies like Huawei and Momenta [1][2] - Tesla's data collection capabilities from mass-produced vehicles support algorithm iteration, but its reliance on cameras presents limitations in recognizing static objects and performing in low-visibility conditions [2] - Multi-sensor fusion solutions, while addressing some of Tesla's shortcomings, face challenges such as complex data calibration between different devices [2] Group 2: Levels of Automation - The "Automated Driving Classification" standard categorizes driving automation from L0 to L5, with L3 being a critical threshold for human intervention and system dominance [3] - Companies are cautious in their claims about automation levels, with Huawei referring to its system as "L2.9999," while some Robotaxis boldly claim L4 capabilities despite ongoing safety concerns [3] - The rapid expansion of low-speed autonomous vehicles in urban areas raises significant safety issues, as these vehicles often violate traffic regulations and create hazards [3] Group 3: Vehicle-Road-Cloud Integration - The industry is recognizing the need for vehicle-road-cloud integration to address coordination gaps that lead to safety issues, such as blind spots and outdated traffic signals [5] - This integration aims to enhance the capabilities of autonomous systems by providing superior perception and decision-making through real-time data sharing [5] - Successful implementation of this integration has been demonstrated in Wuxi, where a vehicle-road-cloud system has improved traffic efficiency by approximately 15%-20% [6][7] Group 4: Challenges Ahead - Despite the promise of vehicle-road-cloud integration, challenges remain, including the need for standardized data governance and the alignment of investment returns with operational costs [8] - The collaboration among various stakeholders, including government, automotive companies, and tech firms, is essential to avoid fragmented efforts in the development of intelligent transportation systems [8] - The diverse conditions across Chinese cities complicate the scalability of successful models, necessitating tailored approaches for different urban environments [9]

Core Viewpoint - The article discusses the challenges and strategies of the Chinese automotive industry as it faces declining domestic sales and increasing pressure to transition towards higher-value and technology-intensive vehicles. The focus is on the 2026 sales targets set by various automakers amidst a backdrop of changing government policies and market dynamics [3][6][8]. Group 1: Market Overview - In 2025, China's automotive production and sales reached 34.4 million units, a 9.4% increase year-on-year, maintaining its position as the world's largest market for the 17th consecutive year [3]. - Domestic sales, excluding exports, were 27.3 million units, up 6.7%, with passenger vehicles accounting for approximately 24.1 million units, growing by 8.0% [5]. - However, December 2025 saw a significant decline in domestic sales, with only 2.519 million units sold, marking a 6.7% month-on-month drop and a 15.6% year-on-year decrease [5]. Group 2: Industry Challenges - The average profit margin in the Chinese automotive industry has fallen to 4.4%, only slightly above the historical low of 4.3% in 2024, indicating extremely thin profit margins [6]. - The new vehicle replacement subsidy policy, shifting from fixed subsidies to percentage-based subsidies, targets higher-priced vehicles, which may pressure companies that rely heavily on low-cost models [8]. Group 3: Sales Targets and Strategies - Major automakers have set ambitious sales targets for 2026, with a combined goal of approximately 35 to 36 million passenger vehicles, reflecting a year-on-year increase of 12% to 15% [5]. - Traditional automakers are focusing on stability and efficiency improvements, while new entrants are experiencing significant divergence in their growth strategies [10][30]. - For instance, Changan aims for a total sales target of 3.3 million units in 2026, with a strong emphasis on new energy vehicles, projecting 1.43 million units from this segment [12][15]. Group 4: New Energy Vehicle Focus - The article highlights the increasing importance of new energy vehicles (NEVs) in the sales strategies of various automakers, with companies like Dongfeng targeting 1.7 million NEVs in 2026, representing a significant portion of their overall sales goals [15][26]. - Geely plans to launch over ten new models in 2026, focusing on a comprehensive product matrix to drive sales growth [23]. Group 5: Export Market Dynamics - The export market for Chinese vehicles is thriving, with exports reaching 7 million units in 2025, a 21% increase year-on-year, and NEV exports doubling to 2.6 million units [49]. - Automakers are increasingly prioritizing overseas markets, with many setting aggressive export targets that significantly exceed their overall sales growth targets [51][54]. - For example, Changan's overseas sales target for 2026 is set at 750,000 units, accounting for nearly a quarter of its total sales goal [52].

转自：中国质量报 本报讯 （记者岳 倩）日前，长城汽车正式发布全新整车平台归元。长城汽车方面表示，归元寓意回归 本源。归元平台以"第一性原理"为思考起点，回归车为人服务的本质，打破传统造车思维，构建"硬件 可拆、软件可配、AI懂你"的新型造车模式。 归元平台以T-Safety安全理念为基础，对标全球最高碰撞标准，采用5项行业首创车身防护技术，包括 2200兆帕高强度骨架与半固态镁合金结构件；融合智驾VLA大模型主动安全，提升盲区减速、静止目 标最大刹停能力，以及小物件纵向主动刹停等准确性和及时性。长城汽车还通过自研试验场与仿真系 统，构建主被动安全协同验证体系，并投入超10亿元建设风洞、电磁实验室及智能网联测试试验场，覆 盖全球市场合规需求。 当前，全球汽车市场竞争激烈，各车企纷纷布局海外市场，但不同地区对汽车动力的需求存在显著差 异。面对多元化需求，车企能否通过技术通用性提升规模效应，将是其未来盈利能力的关键变量。2025 年，长城汽车全年销量达132.4万辆，同比增长7.33%。该公司2026年销量目标为180万辆，目标增长率 为36%。归元平台的高兼容性将有助于长城汽车压缩研发、生产成本与周期，更能精准 ...