转自：成都日报锦观 业内人士表示，2026年马年春节文旅市场呈现出家庭化、品质化、科技化、全域化特征，超长假期充分 激活消费潜力，成都凭借完善的城市配套、丰富的文旅供给、优越的区位优势，稳居全国热门旅游城市 前列。 春节游客最爱 成都全国第二 "反向过年"从一种小众选择变成潮流。从整体飞行目的地来看，50岁以上游客最青睐的均为一线城市， 北京、成都、上海、广州成为最热门选择。反向过年的风潮让大城市有了更高的人气。去哪儿旅行数据 显示，从酒店整体预订量来看，春节期间最热门的旅游城市为：北京、广州、重庆、上海、深圳、成 都、昆明、长沙、福州、西安。 AI全面融入春节出行，成为"智能旅行管家"。飞猪数据显示，整个春节假期，平台AI订单量较节前增长 超800%，AI订门票订单量大增超24倍，成都与杭州、上海、重庆、武汉一同跻身AI订酒店热门目的 地。 ...

作为这一跃迁的最新里程（002219）碑，"百度地图文心AI副驾"于2026年1月开启内测，定位为"情感陪 伴型出行智能体"，不仅具备精准导航能力的深度融合，更增加了完整人格化设定。这意味着，它不仅 处理"去哪里"的"行为数据"，更能通过多轮深度交互，理解"为何去"、"喜欢何种体验"的"偏好与情感数 据"。在文心大模型的驱动下，AI副驾通过持续的"记忆积累"，构建用户专属的出行心智模型，实现了 从可替换的工具，到懂路线、有记忆、能共情的"出行副驾"的本质蜕变。 作为国民级出行服务平台，百度地图持续以科技优化出行体验，此次春节活动进一步延伸其服务场景， 覆盖用户假期出行全程，让"情绪价值"与"出行效率"实现统一。 春节是全民出行的集中时段，不仅是交通流量的高峰，更是对出行平台综合服务能力的一场"大考"。作 为服务数亿用户的国民级AI出行应用，百度地图正是在这样的真实场景中，将其庞大的用户规模与深 厚的AI技术底蕴，转化为全面、系统的服务优势。 在技术层面，百度地图已完成从工具到生态的跨越。其AI能力已通过超过1500万辆智能汽车、月均超5 亿次交互的场景验证，实现了从"数字化导航"到"智能体出行"的范式升级。其 ...

奇瑞集团发布2026年1月出口销量快报：单月出口汽车119,605辆，同比增长48.1%，连续9个月突破10万辆大关， 继续领跑中国汽车品牌出口。 截至2026年1月底，奇瑞集团全球累计用户突破1873万，其中海外用户超596万，业务覆盖全球120余个国家和地 区。 iCAR（海外名称iCAUR）品牌继去年先后亮相中东和南非等地后，今年1月又迎来智能硬派大五座SUV——iCAR V27量产下线，并启航发往海外。首批车辆将以中东为核心区域，覆盖阿联酋、沙特、巴林等五国。 第二大特征是高端市场与新能源双线突破。高法规市场已成为奇瑞全球化战略关键增长极。2025年，奇瑞在英国 和欧盟销售汽车237,453辆，同比增长240%。在成功进入英国、西班牙、意大利等欧洲15国后，奇瑞计划2026年 进入德国、法国等市场，持续强化全球品牌影响力。 奇瑞新能源出口呈现迅猛增长势头。2025年，奇瑞插电混动车型在英国、西班牙、波兰等地位居中国品牌销量第 一，并在印尼、马来西亚等多国市场位居插混销量第一。 第三大特征是安全与质量体系构架全球信任。2026年开年，捷途T1、T2以优异成绩获得东盟ASEAN NCAP五星 安全认证。至 ...

Core Insights - The hotel industry is undergoing a critical transformation from digitization to intelligence, driven by the increasing demand for efficient and personalized services from guests [1][2] - The launch of the AI Smart Front Desk product marks a significant step towards integrating technology into hotel operations, enhancing guest experiences [1][2] Industry Pain Points - The rapid development of AI technology is reshaping various industries, with the hospitality sector particularly benefiting from AI's ability to optimize booking processes and service scenarios [2] - Traditional hotel front desks face challenges such as high employee turnover and long wait times for guests during check-in, negatively impacting service efficiency and brand reputation [2][4] AI Smart Front Desk Redefinition - The AI Smart Front Desk solution is a comprehensive service platform that integrates AI agents, memory systems, PMS, PSB systems, and smart locks, enabling efficient data flow and intelligent service matching [3][4] - Unlike traditional self-service kiosks, the AI Smart Front Desk offers significant advancements in technology and functionality, addressing compatibility and security issues [3][4] Innovative Service Experience - The AI Smart Front Desk introduces a "tap" feature that allows guests to complete check-in processes in as little as 20 seconds, enhancing efficiency and security [6] - The system utilizes AI for natural language interaction and emotional perception, providing personalized service based on guests' emotional states [5][7] Strategic Partnerships - The success of the AI Smart Front Desk is supported by strategic collaborations with Alipay, Tmall Genie, and Future Front Desk, leveraging their strengths for a comprehensive solution [8][9][10] - Alipay provides identity verification and integration capabilities, while Tmall Genie enhances voice interaction and IoT connectivity [8][9] Value Creation for Hotels - The AI Smart Front Desk helps hotels activate non-room revenue streams by integrating local service resources, transforming the service model from "people finding services" to "services finding people" [12] - It positions hotels to capture future AI travel traffic, appealing to younger consumers who prefer voice-activated booking processes [13] - The system improves service quality and efficiency during peak times, allowing staff to focus on high-value interactions [14] Conclusion - The introduction of the AI Smart Front Desk signifies a pivotal move for the hotel industry towards becoming a necessary node in the consumer decision-making process, enhancing visibility and resource allocation in the AI era [15][16]

Core Insights - Xiaopeng Motors launched four significant models at the 2026 Global New Product Launch, showcasing its systematic advancement in smart, electric, and global strategies in the "AI mobility" sector [1] Product Development - The new models include the 2026 Xiaopeng P7+, Xiaopeng G7 Super Range, 2026 Xiaopeng G6, and 2026 Xiaopeng G9, covering various segments such as sedans and SUVs, and both pure electric and super range technologies [1] - The 2026 Xiaopeng P7+ offers a maximum CLTC comprehensive range of 1550 kilometers and a pure electric range of 430 kilometers, making it one of the longest-range extended-range sedans globally [1] - The Xiaopeng G7 Super Range sets a new SUV range record with a comprehensive range of 1704 kilometers, while the 2026 Xiaopeng G6 and G9 enhance competitiveness through upgrades in computing power, smart cockpit, and chassis technology [1] Technological Advancements - Xiaopeng Motors introduced its second-generation VLA physical world model, which is crucial for achieving L4-level autonomous driving capabilities, and will be rolled out to initial models by March 2026 [2] - The new Tianji AIOS 6.0 system transforms the smart cockpit from "passive response" to "active service," improving interaction design and efficiency, and will be available to global users as Xiaopeng expands its overseas market [2] Hardware and Efficiency - The 2026 Xiaopeng P7+ features a combination of "large fuel tank + large battery + 800V ultra-fast charging," achieving a minimum energy consumption of 10.9 kWh/100 km and charging from 10% to 80% in just 12 minutes [3] - The Xiaopeng G7 Super Range emphasizes family travel with enhanced comfort, space utilization, and comprehensive configurations, broadening the application scenarios for smart SUVs [3] - Safety remains a key focus, with new models meeting dual five-star safety standards in China and Europe, and improvements in vehicle structure, battery safety, and active safety systems [3] Global Expansion - Xiaopeng Motors is accelerating its global expansion, with cumulative global deliveries expected to exceed 420,000 units by 2025, marking over a 100% year-on-year growth and entering over 60 countries [4] - The introduction of super range technology broadens Xiaopeng's product offerings, supporting its transition from "going global" to "rooting globally" [4] - The launch of four models at the beginning of 2026 aligns product rhythm, technological expression, and strategic narrative, addressing market concerns regarding range and charging efficiency while promoting the concept of "technology equity" [4]

Core Insights - Didi's Q3 2025 performance report shows continued robust growth, with core platform order volume increasing by 13.8% year-on-year to 4.685 billion orders, marking 11 consecutive quarters of double-digit growth since 2023 [1] - The Gross Transaction Value (GTV) for Didi's core platform rose by 14.8% year-on-year to 115.8 billion yuan, with a net profit of 1.5 billion yuan for the quarter [1] - Didi's CEO Cheng Wei emphasized the company's commitment to enhancing the travel service ecosystem and expanding international operations while leveraging AI for improved user experience and responsible advancement of L4 autonomous driving [1] Domestic Business Performance - In Q3, Didi's domestic ride-hailing orders reached 3.523 billion, a 10.7% increase year-on-year, with daily orders averaging 38.3 million [2] - The GTV for domestic operations grew by 10.1% year-on-year to 86 billion yuan, with adjusted EBITA profit of 3 billion yuan [2] - Didi plans to invest further in the domestic travel ecosystem, focusing on differentiated services to stimulate potential travel demand [2] User Experience and Driver Support - Didi upgraded its membership system in August, partnering with various brands to enhance user benefits [5] - The AI travel assistant was launched in September, improving the convenience of ride-hailing through AI-driven personalized service [5] - The company has implemented new measures to support drivers, including an upgraded driver protection plan and community assistance initiatives [5] International Business Growth - Didi's international operations, particularly in Brazil and Mexico, saw over 20% growth in Q3, with order volume increasing by 24.3% to 1.162 billion orders [6] - The GTV for international operations grew by 31% to 29.8 billion yuan, with adjusted EBITA achieving cumulative profitability in the first three quarters of 2025 [6] - Didi's food delivery service in Brazil has launched in over 30 cities, with plans to expand to 100 cities by mid-2026 [6]

Core Insights - Didi's Q3 2025 performance report shows continued robust growth, with core platform order volume increasing by 13.8% year-on-year to 4.685 billion orders, marking 11 consecutive quarters of double-digit growth since 2023 [2] - The Gross Transaction Value (GTV) for Didi's core platform rose by 14.8% year-on-year to 115.8 billion yuan, with a net profit of 1.5 billion yuan for the quarter [2] - Didi's CEO Cheng Wei emphasized the company's commitment to enhancing its transportation service system and expanding its international market presence while leveraging AI to improve user experience [2] Domestic Operations - In Q3, Didi's domestic ride-hailing orders reached 3.523 billion, a 10.7% increase year-on-year, with an average of 38.3 million daily orders; GTV grew by 10.1% to 86 billion yuan, and adjusted EBITA was 3 billion yuan [3] - The company is focusing on refining its domestic travel ecosystem through differentiated services and has introduced various offerings to cater to diverse consumer needs [3] - Didi has upgraded its membership system and launched an AI travel assistant to enhance user experience and streamline ride-hailing processes [3] International Operations - Didi's international business maintained over 20% growth in Q3, with order volume increasing by 24.3% year-on-year to 1.162 billion orders and GTV rising by 31% to 29.8 billion yuan [4] - The international ride-hailing segment has achieved healthy and sustainable growth, with cumulative adjusted EBITA profitability in the first three quarters of 2025 [5] - Didi's food delivery service in Brazil has launched in over 30 cities, with plans to expand to 100 cities by mid-2026, leveraging its existing user base and service network [5][6]

Core Viewpoint - The article discusses the challenges and opportunities faced by Pony AI, a leading player in the Robotaxi sector, highlighting its rapid revenue growth alongside increasing losses and the need for successful commercialization [2][3][5]. Financial Performance - Pony AI reported a total revenue of 154 million RMB for Q2 2025, marking a year-on-year increase of 75.9% and a quarter-on-quarter growth of 53.5% [8]. - The Robotaxi business generated revenue of 10.9 million RMB, a year-on-year increase of 157.8%, with passenger fare revenue growing over 300% [8]. - Despite the revenue growth, the net loss for Q2 reached 382 million RMB, a year-on-year increase of 72.49% [9]. Investment Landscape - International institutions are increasing their investments in Pony AI, indicating confidence in its Robotaxi commercialization potential and AI mobility strategy [4][10]. - Notable investors include Fidelity Investments and Baillie Gifford, with significant purchases made by ARKQ fund totaling over 12.9 million USD [10]. Commercialization Risks - The company faces significant risks related to expanding losses, funding pressures, and tightening industry regulations, which could hinder its commercialization efforts [5][9]. - The high costs associated with R&D and operational expenses are major contributors to the financial strain, with R&D expenses reaching 350 million RMB in Q2 [9]. Competitive Landscape - Pony AI is competing with other major players like Baidu and Waymo, which have established a stronger market presence and operational scale [15]. - The global Robotaxi market is projected to reach 66.6 billion USD by 2030 and 352.6 billion USD by 2035, indicating a long path to commercialization maturity [16]. Strategic Moves - Pony AI is pursuing a dual listing in both the US and Hong Kong, which is seen as a strategy to secure necessary funding and enhance its operational capabilities [6][16]. - The CEO has indicated that achieving a fleet size of 1,000 Robotaxis is crucial for reaching operational breakeven, with current operations at 500 vehicles [9].

Core Viewpoint - The article discusses the transformative impact of AI on the ride-hailing experience through the introduction of "Xiaodi," a new intelligent assistant by Didi, which allows users to actively choose their ride preferences rather than passively waiting for a match [1][49]. Group 1: Xiaodi's Features - Xiaodi changes the traditional ride-hailing logic by enabling users to specify their preferences, such as vehicle type, air quality, and other personalized requirements [1][20]. - Users can interact with Xiaodi through voice or text to communicate multiple needs, enhancing the customization of their ride experience [20][23]. - The interface of Xiaodi resembles a chatbot, providing a more engaging and interactive experience compared to traditional ride-hailing apps [10][12]. Group 2: User Experience - The article highlights a seamless user experience where Xiaodi not only finds suitable vehicles but also provides detailed information about each option, including model, distance, estimated arrival time, and price [16][18]. - Users can track their ride history and expenses easily, making it particularly beneficial for business travelers [31][32]. - Xiaodi can assist in planning cost-effective travel routes even when not using a ride-hailing service, showcasing its versatility [29][31]. Group 3: MCP Service - Didi has launched the MCP service, allowing developers to integrate Xiaodi's capabilities into their applications, thus broadening the potential for personalized ride-hailing experiences [34][48]. - The MCP service offers different versions (Beta, Pro, Pro+) catering to various user needs, from simple experiences to comprehensive enterprise solutions [46][48]. - The rapid iteration and updates of the MCP service indicate a commitment to enhancing the AI-driven ride-hailing ecosystem [48]. Group 4: Industry Implications - The introduction of AI in ride-hailing not only benefits passengers but also enhances the visibility and earnings of drivers who provide better services [50]. - Didi's extensive experience and technological foundation in the ride-hailing sector enable it to implement AI solutions effectively, setting a precedent for future developments in the industry [51][52]. - The article suggests that as data accumulates, the AI models will become more sophisticated, continuously improving user experiences in ride-hailing [52].

Core Viewpoint - Didi has launched the public beta of its AI travel assistant "Xiao Di Beta v0.8," which offers personalized ride options based on user needs through intelligent understanding [1][4]. Group 1: AI Travel Assistant Features - Xiao Di supports both voice and text input, allowing users to express their ride requirements in a more natural manner [2]. - The assistant can provide up to three vehicle options based on real-time information such as time and traffic conditions, which users can then confirm [2]. - Users are encouraged to be specific in their requests to enhance the accuracy of the matching process, which allows Xiao Di to learn and optimize over time [2]. Group 2: Additional Functionalities - Xiao Di can offer tailored travel solutions for various scenarios, such as pre-booking rides on rainy days, planning departure times for flights, and prioritizing eco-friendly vehicle options [4]. - The assistant also integrates order tracking and intelligent customer service features [4]. - Didi has introduced the MCP service for developers, enabling them to create custom AI assistants that can plan travel, book rides, track orders, and facilitate automatic payments [4].