2025年，全球汽车行业出现一个历史性转折："全球纯电动汽车销量第一"宝座易主。比亚迪以全年 225.67万辆的纯电车型总销量，首次超越特斯拉。 18年前，比亚迪还寂寂无闻之时，王传福在比亚迪汽车深圳坪山基地落成暨中高级轿车F6下线仪式上 抛出"比亚迪2025年销量全球第一"的目标。曾经的豪言壮语，在2025年实现。 王传福很早就笃定"未来是电动车的天下"，2022年4月比亚迪宣布停产燃油车，此后新能源车销量一路 高歌猛进。比亚迪的登顶标志着新汽车时代的转折：全球汽车产业正被中国汽车力量颠覆，中国汽车品 牌踏上国际舞台中心。 2.朱华荣：新央企掌舵人，锚定500万辆年销量目标 2025年的中国汽车市场在全面且深入的"极限竞争"中收官。车企的竞争正从单纯的价格比拼和规模扩 张，转向对体系能力、技术深度和全球化运营的综合考验，竞争愈发激烈。 这一年，各家车企掌门人也基于自身禀赋，探索多元化的应对策略，在汽车市场中留下浓墨重彩的一 笔：王传福带领比亚迪（002594）首登全球纯电动汽车销冠，朱华荣迎来职业生涯的关键转折成为新央 企掌舵人，尹同跃长跑21年终于实现奇瑞上市，曾毓群在"去宁化"压力下港股二次鸣锣…… 2 ...

Core Viewpoint - ByteDance's "Doubao" AI glasses are set to enter the shipping phase, attracting significant attention despite the company stating there is no clear sales plan yet [1][3]. Company Summary - ByteDance is primarily responsible for the upper-level app development of the "Doubao" AI glasses, while Longqi Technology handles mass production and underlying UI development, reflecting a collaborative approach to mitigate risks associated with self-research [3]. - The AI glasses feature a self-developed spatial algorithm chip, weigh less than 50 grams, and require the Doubao app for operation, indicating ByteDance's cautious entry into the hardware market and exploration of AI monetization avenues [3][6]. - Longqi Technology has set a minimum order requirement of 1 million units for the AI glasses, showcasing ByteDance's confidence in the market and its commitment to the AI glasses sector [6]. Industry Summary - The recent policy announcement includes "smart glasses" in the subsidy range for digital and smart products, which is expected to stimulate market demand by lowering consumer costs [4][6]. - IDC forecasts that the global smart glasses market will exceed 23.687 million units shipped by 2026, with China expected to account for 45% of this market, indicating a significant growth opportunity [6][9]. - Major companies like Alibaba, Baidu, and China Telecom have already launched their smart glasses, with a notable increase in sales during the 2025 Double Eleven shopping festival, where AI glasses sales surged by 2500% year-on-year [7][9]. - Advances in optical technology and AI model evolution are enhancing the supply chain and user experience for smart glasses, while upcoming consumer subsidies are likely to further boost demand, leading to a competitive landscape referred to as the "hundred glasses war" [9][10].

2025年11月27日，夸克AI眼镜发布，接入阿里千问大模型；2025年11月28日，华为AI玩具"智能憨憨"开 售；2025年12月1日，字节跳动发布豆包手机助手预览版及少量AI手机样机；2025年12月3日，理想汽 车举行AI眼镜Livis发布会。 深圳市前海排排网基金销售有限责任公司研究总监刘有华对《证券日报》记者表示："2026年或将成为 端侧AI由概念迈向规模化落地的关键拐点。隐私保护、低延迟需求、模型轻量化技术成熟以及自然交 互方式演进，将共同驱动端侧AI设备加速渗透日常生活与工作场景，拉开AI入口争夺的新序幕。" 中信建投（601066）研报显示，2026年手机、PC的AI渗透率有望分别达到45%和62%，端侧AI市场规模 预计从2025年的3219亿元跃升至2029年的1.22万亿元，年复合增长率达40%。 2026年国际消费电子展(CES)开幕在即，AI应用领域相关消息不断。 华泰证券研报显示，本届CES将成为AI应用落地的关键观察窗口，重点覆盖端侧AI、工业AI、Physical AI(物理AI)与汽车智能化等方向。科技行业投资主线正从算力基础设施走向从仿真、训练到现实世界部 署的完整技术 ...

Group 1 - The Chinese automotive industry is entering a new development stage as the "14th Five-Year Plan" concludes, with a focus on the impact of AI on technology paths and market structures [1] - AI is transitioning from a functional enhancement to a core capability that determines the upper limits of intelligence in the automotive sector, yet few companies have fully integrated systematic AI capabilities into mass production [1] - Li Auto is positioning itself with a clear path by unifying perception, understanding, and execution capabilities of intelligent assisted driving under a single AI architecture, moving towards AGI technology evolution [1] Group 2 - Li Auto is at the forefront of productizing edge AI, with initiatives like "Li Xiang Classmate" for multimodal interaction and the development of AI glasses Livis, extending AI capabilities beyond in-car systems [2] - The company's value this year lies in integrating AI as a core element, aligning assisted driving, cabin interaction, and edge products into a cohesive evolution logic, providing a benchmark for other automakers in the AI-driven competition [2] - Li Auto has been recognized in the "2025 Automotive Industry Influence Yearbook" as a representative automaker in the annual process of intelligentization due to its achievements in AI architecture integration and edge product implementation [2]

2025年第三季度，理想汽车归母净利润亏损6.25亿元，同比盈转亏，结束了此前连续11季盈利的纪录。 今年7月以来，理想汽车股票表现低迷。 而理想将亏损原因归于今年10月1.14万辆理想MEGA的召回。 一、理想三季度财报差如人意，股价持续走低 2025年第三季度的车辆销售收入为人民币259亿元（36亿美元），较2024年第三季度的人民币413亿元减少37.4%；总交付量为93,211辆，同比减少39.0%。 收入总额为人民币274亿元（38亿美元），较2024年第三季度的人民币429亿元减少36.2%，较2025年第二季度的人民币302亿元减少9.5%。 净亏损为人民币6.244亿元（8770万美元）。 同时，理想汽车四季度继续大幅下滑，预计车辆交付量为100,000至110,000辆，同比减少37.0%至30.7%。 理想汽车曾是造车新势力明星企业，现金流和盈利水平遥遥领先，但在竞争激烈的中国新能源汽车市场，理想的"冰箱彩电大沙发"模式似乎已经过时。 二、核心问题：纯电转型过晚，产能不足 新能源汽车市场的竞争日益激烈，价格战愈演愈烈，理想汽车面临着来自多方面的竞争压力。 在增程市场，问界、深蓝等品牌凭借各 ...

以下文章来源于近眼显示 ，作者Irving 近眼显示 . TrendForce集邦咨询旗下近眼显示研究处。研究领域包括Micro LED/OLED近眼显示应用、XR （AR/VR/MR）头戴式装置等方面。 12月22日，追觅科技在年度经销商大会上正式发布全球首款AI健康眼镜。 新品主打24小时健康监测，产品配备PPG光学传感器及自研AI健康大模型，可记录分析用户的心 率、血氧饱和度及体温等关键生理指标，同时能提供压力水平和心血管健康状况的实时反馈。眼 镜还集成了AI紫外线强度监测系统，能够实时感知户外环境中的紫外线强度。目前， 追觅 官方尚 未公布 产品具体 售价与上市时间 。 全球首款AI健康眼镜的发布， 标志着追觅 科技正式 切入智能眼镜赛道，继续其快速拓展产品线 的脚步。 在资本层面，追觅科技已完成E轮融资，并于2025年启动多项业务的分批上市计划，涵盖汽车、 机器人、家电等多个板块。整体来看，追觅科技正从一家智能清洁设备制造商，逐步转型为覆 盖"人-车-家-太空"多场景的高端科技生态企业。 AI眼镜扩展至健康、教育、车用等领域 在2025年AI眼镜热潮下，更多不同领域企业进入到AI眼镜赛道的同时，也为 ...

转自：新华财经 新华财经北京12月17日电（杨明炜、康耕甫）12月3日，理想汽车推出了AI眼镜Livis，标志着理想汽车 董事长兼CEO李想计划将"理想打造成一家具身智能企业"的愿景迈出了实质性一步。 李想认为，具身智能最好的一种方式是跟现有机械，各种常用的机器本体进行结合，并给予它更好 的"眼睛""大脑"和"心脏"。理想汽车正在产品、技术、组织三个维度推进"具身智能"建设，其VLA大模 型的空间理解、思维与推理、沟通与记忆、行为和迭代五大核心能力也给用户带来了安全、舒适、高超 的驾驶技巧和自然的交互能力，提升了用户体验。 三个维度推进"具身智能"建设 李想在公司2025年第三季度财报业绩会上所作的演讲，进一步证明，公司近期围绕产品、技术、组织三 个维度，在为具身智能企业确定下一个十年的战略布局。 产品层面，李想向投资者介绍，理想不做电动车，不做智能终端，而是一家"具身智能"企业。当产品停 留在"电动车"，竞争逻辑可能就是堆配置、拼参数，变成参数大战，很多研发投入都是不必要的浪费。 如果选择做智能终端，本质上会变成功能的重复建设，例如把手机、电脑上的体验复制到车上，对用户 价值的提升有限。 汽车是具身智能产品 ...

在当前的新能源汽车市场，同质化竞争已成为行业难以回避的堵点。面对当下车型产品设计趋同、体验 雷同等问题，车企和市场亟须新的差异化突破口。 在此背景下，智能穿戴与数码产品成为车企开拓第二切口的关键选择。理想汽车AI眼镜Livis的推出， 正是这一战略的典型实践。据理想汽车官方发布，Livis全系标配蔡司高品质镜片，在交互体验上，300 毫秒唤醒、800毫秒端到端响应的速度，让语音助手可直接完成空调开启、方向盘加热等车控操作。更 重要的是，这款产品并非孤立的硬件，"车+镜"的生态联动，让用户从买车升级为加入智能生活体系， 极大增强了用户黏性。 小鹏汽车与蔚来的布局同样具有战略深意。小鹏汽车在2024年11月发布的AI人形机器人Iron，已进入广 州工厂参与小鹏P7+车型的生产实训。其核心技术与自动驾驶系统共享视觉神经网络和AI算法，实现技 术互通降本增效。蔚来方面，公司早在2022年便推出了NIO Air AR Glasses，通过车载适配器与车机系 统连接，支持语音交互与手机操控，率先探索"车载娱乐+AR"的场景融合。 当理想汽车的AI眼镜Livis在2025年12月3日的"理想科技日"发布会上揭开面纱，36克 ...

Group 1 - The A-share market experienced a notable adjustment in the afternoon, particularly in the technology sector, with the AI ETF (515070) seeing a nearly 2% decline during trading, despite some holdings like Jingjiawei rising over 3% [1] - Google announced plans to increase its capital expenditure to $91 billion by 2025, with a goal of doubling AI computing power every six months, indicating strong demand for 800G/1.6T optical modules from overseas cloud giants [1] - The domestic supply chain has visibility of orders extending to 2026, driven by the increasing demand for AI and related technologies [1] Group 2 - The AI ETF (515070) tracks the CS Artificial Intelligence Theme Index (930713), focusing on companies that provide technology, foundational resources, and applications in the AI sector, often referred to as the "brain" creators of robotics and the "ground" of the Internet of Everything [2] - The top ten weighted stocks in the ETF include major domestic technology leaders such as Zhongji Xuchuang, Xinyi Sheng, Cambricon Technologies, and Hikvision, reflecting a strong concentration of influential players in the AI industry [2]

Investment Rating - The report does not explicitly provide an investment rating for the AI industry Core Insights - The AI industry is witnessing significant advancements, particularly in multimodal models, with SenseNova's NEO architecture being a notable development that enhances the integration of visual and language processing [15] - The upcoming 2025 Brain-Computer Interface Conference aims to promote practical applications and innovations in brain-computer interface technology [5] - Strategic collaborations, such as the partnership between UBTECH and ZhiSheng Technology to deploy 10,000 robots by 2031, indicate a strong focus on robotics and AI integration [7] - The acquisition of the AI search team by Xiaohongshu reflects a trend of companies consolidating AI capabilities to enhance their product offerings [8] Summary by Sections AI Industry Dynamics - The 2025 Brain-Computer Interface Conference will take place from December 4 to 5 in Shanghai, featuring competitions focused on practical applications of brain-computer interface technology [5] - The Ministry of Industry and Information Technology is preparing to establish the China Artificial Intelligence Terminal Industry Association, which aims to support high-quality development in the AI terminal industry [6] AI Application Insights - Li Auto has launched its first AI glasses, Livis, which weigh 36 grams and can operate for 18.8 hours, showcasing a crossover from smart vehicles to wearable technology [9] - Doubao has released a technical preview of its mobile assistant, integrating various functionalities to enhance user experience [10] - Ant Group's AI assistant has been upgraded to generate simple games in as little as 30 seconds, highlighting advancements in user-generated content [12] - Gaode Map has introduced an "AI Parking Radar" feature that provides real-time updates on parking availability, enhancing urban navigation [13] AI Large Model Insights - Doubao's voice recognition model 2.0 has improved its contextual understanding, achieving a 20% increase in keyword recall rate and supporting multiple languages [14] - SenseTime's NEO multimodal model architecture has been released and open-sourced, aiming for deeper integration of visual and language processing [15] - Alibaba's Qwen-Image model has been updated for better consistency in image generation and editing, now available on the Qianwen app [16] - DeepSeek has launched its V3.2 series models, narrowing the performance gap between open-source and commercial models [17] Technology Frontiers - Tencent has launched EdgeOne Pages, a full-stack edge development platform, facilitating rapid web project deployment [18] - The latest version of Improved MeanFlow by He Kaiming's team addresses key issues in training stability and efficiency, achieving significant performance improvements [20]