Core Viewpoint - The automotive industry is shifting from using the term "intelligent driving" to "assisted driving" in response to national standards, with Xiaomi's recent change reflecting a broader trend among various car manufacturers [2][7][9] Group 1: Xiaomi's Changes - Xiaomi has renamed its "Xiaomi Intelligent Driving Pro" to "Xiaomi Assisted Driving Pro" and other related features to align with national standards [3][4] - Despite the name change, sales personnel at Xiaomi stores still exhibit some inconsistency in their communication regarding the safety and functionality of the assisted driving features [4][5] - The change in terminology has not sparked significant controversy among Xiaomi SU7 owners, who seem to accept the adjustment as a necessary clarification [5][6] Group 2: Industry-Wide Trends - Following Xiaomi's lead, other automotive brands such as Tesla, Xpeng, and Li Auto have also revised their marketing language to emphasize "assisted driving" instead of "intelligent driving" [7][8] - The Ministry of Industry and Information Technology (MIIT) issued a directive on April 16, requiring car manufacturers to adhere to standardized terminology and avoid exaggerated claims regarding driving automation [7][9] - The shift in terminology has led to a more cautious approach in marketing, with companies rapidly updating promotional materials to comply with the new regulations [7][8]

Core Viewpoint - Xiaomi has changed the terminology from "intelligent driving" to "assisted driving" for its SU7 model in response to national standards and to clarify the functionality of its driving automation features [1][2]. Group 1: Company Actions - Xiaomi's official customer service stated that the change in terminology is to align with national calls and the automotive industry's driving automation classification standards, emphasizing that the related functions are classified as assisted driving [1]. - The model "Xiaomi Intelligent Driving Pro" has been renamed to "Xiaomi Assisted Driving Pro," and other models have also undergone similar name changes to reflect this shift [1]. - The "valet parking" feature has been modified to "valet parking assistance," but the functionality remains unchanged [1]. Group 2: Industry Context - The Ministry of Industry and Information Technology (MIIT) has emphasized the need for automotive manufacturers to conduct thorough testing and validation of combined driving assistance systems, ensuring clear boundaries of system functions and safety measures [2]. - There is a growing concern that some automotive companies are using misleading marketing terms like "L2+" and "L2.9," which do not comply with national standards, leading consumers to mistakenly believe they are purchasing fully autonomous driving capabilities [2]. - The industry is facing a paradox where advanced technology leads to ambiguous responsibilities, which has resulted in serious consequences in some cases due to misinformation [2].

4月23日，第二十一届上海国际汽车工业展览会正式开展，整车企业在本次车展上不约而同地弱化了 对"智能驾驶"的宣传：比亚迪将"天神之眼"从原来的"高阶智驾"更改为"驾驶辅助"，将"代客泊车"更改 成"下车泊入"；小米汽车在相关视频中减少了智能驾驶表述的内容…… 这背后，是智能驾驶宣传被戴上了"紧箍咒"。4月21日，中国汽车工业协会、中国汽车工程学会先后发 布《关于规范驾驶辅助宣传与应用的倡议书》，明确提到车企应规范宣传营销行为，杜绝虚假宣传与过 度营销，避免使用模糊或误导性表述，防止驾驶员误用、滥用风险。 在汽车行业从"电动化"时代步入"智能化"时代的关键节点，为何要给智能驾驶宣传戴上"紧箍咒"？因为 无论各大车企在发布会上把智驾功能讲述得如何天花乱坠，都无法掩盖中国乘用车市场已经落地车型最 高也只达到了L2级别辅助驾驶水平的事实。这一级别的辅助驾驶无法替代司机，汽车也无法脱离人类 驾驶员的操控。 但很多车企在营销上追求的都是"上限"，着重宣传技术领先性和创新突破，在PPT中展示的都是智能驾 驶能力的"上限"，如时速100公里以上AEB（自动紧急刹车系统）可以"稳定刹停"等。但很少说明智能 驾驶能力的"底限"， ...

Core Viewpoint - Goldman Sachs identifies Physical AI as a significant emerging trend, emphasizing its applications in autonomous driving, AI equipment, and robotic automation [2][8]. Group 1: Definition of Physical AI - Physical AI, also known as generative physical AI, enables autonomous machines to perceive, understand, and execute complex operations in the real physical world [4]. - It extends traditional generative AI by allowing machines to comprehend spatial relationships and physical behaviors, resulting in more realistic outputs that adhere to physical laws [5]. Group 2: Autonomous Driving - Goldman Sachs highlights key players in the autonomous driving sector, including Uber, Pony.ai, BYD, Li Auto, Xiaomi, and Baidu [9]. - Uber is collaborating with Waymo to launch autonomous ride-hailing services in Austin and Atlanta by 2025, with expectations of a human-machine hybrid model in the future [9]. - Pony.ai is projected to achieve a 27% compound annual growth rate from 2024 to 2027, with profitability expected by 2030 [9][10]. Group 3: AI Equipment - In the AI equipment sector, Goldman Sachs favors companies such as Horizon Robotics, Mobileye Global, AAC Technologies, and Quanta Computer [12]. - Horizon Robotics is recognized as a leader in the ADAS/AV field in China and a key supplier for BYD [12]. - Mobileye is expected to gain a larger market share among Western OEMs due to its leadership in the ADAS sector [12]. Group 4: Robotics and Automation - Goldman Sachs focuses on companies like Harmonic Drive Systems, Yaskawa Electric, Sanhua Intelligent Controls, and Shenzhen Inovance Technology in the robotics and automation space [14]. - Harmonic Drive Systems leads the small precision gearbox market, widely used in humanoid robots [14]. - Yaskawa Electric is enhancing automation levels with its dual-arm robot, MOTOMAN NEXT [14]. Group 5: Infrastructure and Support - The development of AI relies on robust infrastructure, with Goldman Sachs favoring companies such as Belden, Flex, Jabil Circuit, TE Connectivity, Amphenol, Dassault Systemes, Prysmian, and Legrand [16]. - These companies play critical roles in data centers, power, cabling, and industrial automation, providing essential support for AI operations [16].