6月20日晚间，华为乾崑智能汽车解决方案微信公众号发布关于HUAWEI ADS(乾崑智驾)高阶功能包的 FAQ。华为方面称，已搭载ADS3的ADS SE车型，具备升级到ADS4的ADS SE版本的能力。当前已搭载 ADS3的ADS Pro车型具备升级到ADS4的ADS Max版本的能力。已经选择一次性购买ADS高阶包的用 户，软件升级到ADS4不收费。ADS4预计9月底开始陆续分批推送，具体升级时间及功能，以车型官方 通告为准。(智通财经) ...

Core Viewpoint - The article discusses the ongoing evolution of automotive intelligence, focusing on data flow from acquisition to application, and highlights key developments in the industry, including Tesla's upcoming Robotaxi trial and advancements in AI technology by various automakers [1][2][3]. Industry News - Tesla will launch Robotaxi trial operations in Texas on June 22, 2025, with an initial fleet of 10 Model Y vehicles [14]. - Xiaopeng G7 is now available for pre-order at a price of 235,800 yuan, featuring the Turing AI chip and AR-HUD technology [17]. - GAC Aion's autonomous vehicles equipped with the seventh-generation autonomous driving system are undergoing public road tests in Guangzhou and Shenzhen [5]. - WeRide collaborates with Uber and Dubai's Road Traffic Authority to deploy commercial Robotaxi services in Dubai [26]. - Black Sesame Intelligence showcases its advanced chip technology at the 2025 Hong Kong Auto Show, emphasizing its role in the evolution of new automotive technologies [21]. High-Frequency Core Data Updates - The penetration rate of 800万 pixel cameras in passenger vehicles reached 32.9% in April 2025, up 18.2% year-on-year [6]. - NVIDIA's driving chip penetration in passenger vehicles increased to 24% in April 2025, with Horizon, Tesla FSD, and Huawei chips holding 13%, 7%, and 9% market shares respectively [6]. - The penetration rate of L2 and above autonomous driving functions in passenger vehicles was 24.3% in April 2025, reflecting an 11% year-on-year increase [8]. Smart Driving - The penetration rate of L2 and above functions in passenger vehicles increased by 4.3% year-on-year in April 2025 [7]. - The penetration rates for front-view cameras, forward millimeter-wave radars, and laser radars were 65.8%, 55.8%, and 8.2% respectively in April 2025 [8]. Smart Cockpit - The penetration rates for 10-inch and above central control screens, 10-inch and above LCD instruments, HUDs, and cockpit domain controllers were 85.6%, 51.4%, 18.2%, and 32.2% respectively in April 2025 [8]. Smart Connectivity - The penetration rates for OTA and T-BOX in passenger vehicles were 76.3% and 62.7% respectively in April 2025 [10].

Group 1 - The event showcased over 20 local tech innovation companies from Wuhan, highlighting advancements in technology and industry integration [1] - Non-invasive brain-machine interface devices developed by Yirui Medical Equipment Co., Ltd. were popular among attendees, with one device for diagnosis and another for treatment using transcranial magnetic stimulation [3][5] - Huawai Technology's "electronic skin" enables robotic hands to have sensitive touch, with over 1000 sensing points for pressure and temperature detection [7][8] Group 2 - AR smart glasses developed by Xingji Meizu attracted significant interest, featuring functionalities like page turning and real-time translation through voice recognition [12] - The event also featured the "Mighty Dragon Armor" electric off-road vehicle and automotive-grade chips, showcasing advancements in smart automotive technology [12] - Attendees expressed excitement about the innovative technologies presented, emphasizing their potential to enhance daily life and productivity [12]

Group 1 - The third Chain Expo will be held in Beijing from July 16 to July 20, with the theme "Linking the World, Co-Creating the Future" [2] - The expo will feature six chains and one exhibition area, including advanced manufacturing, smart vehicles, green agriculture, clean energy, digital technology, health living, and supply chain services [3] Group 2 - Three new investment trends are highlighted: 1. Technology integration driving industrial upgrades, such as the combination of advanced manufacturing and digital technology creating a trillion-level market demand [4] 2. Green economy restructuring the value chain, emphasizing the importance of green supply chains to achieve carbon neutrality goals [4] 3. Emerging consumer demands creating new sectors, focusing on precision medicine, the silver economy, and smart home appliances [4] Group 3 - The collaboration between smart vehicles and clean energy is particularly noteworthy, involving cross-chain cooperation among vehicle manufacturers, energy companies, and material suppliers [5] - The presence of international tech giants like NVIDIA at the expo indicates a trend of localization and collaboration with Chinese companies in the AI innovation ecosystem [6] Group 4 - AI is rapidly penetrating various sectors such as medical rehabilitation, smart manufacturing, and smart agriculture, transforming into AI+ applications [8] - The establishment of a "New Product Launch Zone" at the expo aims to create a four-dimensional cooperation network, facilitating technology validation, global procurement, standard-setting collaboration, and investment financing [9]

Core Insights - The "advertising incident" involving Deep Blue Automotive has sparked significant discussion within the automotive industry regarding the potential of software services as a new revenue source amid declining hardware profits [2] - The event highlights the anxiety faced by automakers during their business model transformation, particularly as the market penetration rate of smart connected vehicles in China is expected to exceed 80% next year [2] - The challenge lies in effectively monetizing in-car systems while ensuring a positive user experience [2] Advertising Monetization - In-car advertising is supported by a robust commercial logic, as the central control screen of smart vehicles serves as a focal point for user attention, similar to smartphones [3] - Chinese car owners spend an average of 87 minutes in their vehicles daily, creating significant commercial value through attention economics [3] - Deep Blue Automotive's CEO stated that targeted advertising based on user behavior can enhance marketing efficiency, as internal statistics show that about 50% of target users missed promotional offers [3] User Experience Challenges - There is a delicate balance between advertising methods and user experience, as intrusive ads can provoke negative reactions from users [4] - A survey indicated that 68% of respondents accept passive advertising formats that do not interfere with driving, while 92% oppose ads during navigation [4] - The industry faces a common challenge in balancing data utilization for targeted advertising with privacy protection [4] Software Commercialization Disparities - The automotive industry's software commercialization shows a stark divide, with pioneers like Tesla achieving significant results, while most domestic automakers see software revenue at only 1% to 3% [5] - Subscription models are becoming mainstream among high-end brands, but they require strong brand premium capabilities [5] - Advertising revenue sharing is another explored avenue, with companies like Li Auto implementing light ad placements that yield limited revenue [5] User Demographics and Preferences - Different user demographics exhibit varying tolerances for in-car advertising, with younger users (ages 25-35) showing higher acceptance but demanding higher quality ads [6] - This shift in user mindset indicates that in-car advertising must evolve to be more refined and intelligent [6] Creating a Sustainable Ecosystem - The exploration of in-car profitability models must focus on creating user-recognized value, as highlighted by Mercedes-Benz's CTO [7] - Intelligent service scenarios, such as offering car wash appointments during bad weather, can blur the lines between advertising and service, increasing user acceptance [7] - Building an open ecosystem is crucial for expanding revenue bases, as individual automakers have limited user scales [8] Regulatory and Standardization Needs - The establishment of industry standards for in-car advertising is becoming urgent, especially as more vehicles become connected [8] - The EU is already working on regulations requiring explicit user consent for in-car ads and providing easy opt-out options [8] Future Outlook - The transition from "functional vehicles" to "smart vehicles" necessitates trial and error in business model exploration, similar to the internet industry's evolution from free to paid services [9] - Successful business models must be built on user value, with the potential for suitable profitability models emerging in the next 3-5 years as technology matures and user habits evolve [9] - The Deep Blue Automotive incident should be viewed as a starting point for industry reflection and progress, emphasizing the importance of maintaining the core value of providing safe and comfortable mobility experiences [9]

Core Insights - Huawei has launched the "Genius Challenge" to attract global talent in five key areas: intelligent connectivity & computing, fundamental research and innovation, intelligent terminals, cloud computing, and intelligent vehicles [3][4][5][6] Group 1: Intelligent Connectivity & Computing - The challenge includes research on autonomous intelligent wireless communication architecture and key technologies to meet future communication demands [3] - It also focuses on the key technologies of the Ascend reinforcement learning system to enhance performance [3] - Research on AI cluster all-optical switching networks aims to improve data transmission speed and efficiency for large-scale AI computing [3] Group 2: Fundamental Research & Innovation - Key technologies for large model security are being explored to address safety risks in current applications [4] - Research on intelligent imaging/editing technology aims to achieve breakthroughs for enhanced user visual experiences [4] - The design and optimization of training cluster architecture will improve the efficiency and quality of model training [4] Group 3: Intelligent Terminals - The challenge includes research on world models to help intelligent terminals better understand and simulate physical laws [5] - It aims to enhance personalization and memory capabilities for intelligent terminals [5] - Research on multimedia algorithms based on computer vision and multimodal understanding is also included [5] Group 4: Cloud Computing - Research on generalizable embodied intelligent operation technology seeks to enable cloud AI to control physical devices [6] - The challenge includes exploring core technologies for the digital-native era [6] - AI-based next-generation cloud network infrastructure research aims to build advanced cloud network systems [6] Group 5: Intelligent Vehicles - The challenge focuses on training and optimizing large models for intelligent vehicles [6] - Research on advanced autonomous driving models is part of the initiative [6] - The development of collaborative control technologies for vehicle chassis aims to enhance safety and comfort [6] Group 6: R&D Investment and Talent Development - Huawei's R&D expenditure for 2024 is projected to reach 179.7 billion yuan, accounting for approximately 20.8% of total revenue [7] - Over the past decade, Huawei has invested more than 1.249 trillion yuan in R&D [7] - The "Genius Challenge" reflects Huawei's commitment to fundamental research and innovation, emphasizing the importance of active participation in basic research [7]

Core Viewpoint - The article emphasizes the significance of high computing power, large models, and extensive data in achieving Level 3 (L3) autonomous driving, highlighting the advancements made by XPeng with its G7 model and its proprietary AI chips [3][18][19]. Group 1: Technological Advancements - XPeng's G7 is the world's first L3 level AI car, featuring three self-developed Turing AI chips with over 2200 TOPS of effective computing power [3][18]. - The G7 introduces the VLA-OL model, which incorporates a "motion brain" for decision-making in intelligent assisted driving [4]. - The VLM (Vision Large Model) serves as the AI brain for vehicle perception, enabling new interaction capabilities and future functionalities like local chat and multi-language support [5][19]. Group 2: Industry Positioning - XPeng was the only invited Chinese car company to present at the global computer vision conference CVPR 2025, showcasing its advancements in autonomous driving models [6][13]. - The company has established a comprehensive system from computing power to algorithms and data, positioning itself as a leader in the autonomous driving sector [8][18]. Group 3: Model Development and Training - The next-generation autonomous driving base model developed by XPeng has a parameter scale of 72 billion and has been trained on over 20 million video clips [20]. - The model utilizes a large language model backbone and extensive multimodal driving data, enhancing its capabilities in visual understanding and reasoning [20][21]. - XPeng employs a distillation approach to adapt large models for vehicle-side deployment, ensuring core capabilities are retained while optimizing performance [27][28]. Group 4: Future Directions - The development of a world model is underway, which will simulate real-world conditions and enhance the feedback loop for continuous learning [36][41]. - XPeng aims to leverage its AI advancements not only for autonomous driving but also for AI robots and flying cars in the future [43][64]. - The transition to an AI company involves building a robust AI infrastructure, with a focus on optimizing the entire production process from cloud to vehicle [50][62].

Core Insights - Xiaopeng Motors has officially launched its new SUV model G7, which is positioned as the "world's first L3-level AI car with high computing power" [1][2] - The G7 will be available in two versions, Max and Ultra, with the Ultra version featuring three self-developed Turing AI chips, achieving a total computing power of 2200 Tops, which is three times higher than the current industry flagship standards [1][2] - The G7 introduces the industry's first AR-HUD technology that projects navigation information directly onto the road, enhancing driving safety and experience [2] Product Features - The G7 Max version is equipped with two Orin-X chips, while the Ultra version includes three Turing AI chips, with a single Turing chip's performance equivalent to three Orin-X chips [1] - The vehicle's design maximizes interior space utilization, achieving a roominess rate of 88%, with a trunk capacity of 819L that can be expanded to 2277L [1] - The G7 features the VLA-OL model for intelligent driving assistance, marking a technological leap from traditional reflective driving assistance to cognitive intelligent driving [1][2] Industry Impact - The launch of the G7 signifies the entry of the smart automotive industry into the "Ultra era," laying a hardware foundation for the mass production application of L3/L4 level autonomous driving technology [2] - The significant increase in computing power standards is expected to lead to greater breakthroughs in intelligent driving technology in the coming years [3]

Core Viewpoint - AAC Technologies has officially entered the automotive acoustic industry through the acquisition of a controlling stake in Hebei Chuguang Automotive Parts Co., signaling a shift in smart cockpit perception from "visible" to "audible" [1] Group 1: Acquisition Details - AAC Technologies acquired 53.74% of Hebei Chuguang for 288 million RMB, making it an indirect subsidiary, ensuring business continuity for the founding team [1] - The acquisition is seen as a strategic move to enhance AAC's capabilities in the automotive sector, particularly in the context of evolving smart cockpit technologies [2] Group 2: Industry Implications - The automotive acoustic sector, previously undervalued, is becoming a critical component in human-machine interaction as smart cockpits evolve beyond simple screen-based interfaces [1][3] - The acquisition allows AAC Technologies to leverage its extensive experience in consumer electronics to fill a gap in the automotive supply chain, particularly in digital microphones where Hebei Chuguang holds over 50% market share in China [2] Group 3: Future Developments - Post-acquisition, AAC Technologies plans to collaborate with Hebei Chuguang on acoustic system development, vehicle adaptation, and international market expansion [3] - The integration of AAC's algorithm optimization capabilities into Hebei Chuguang's existing platform aims to create new automotive-grade products and comprehensive acoustic solutions for OEMs [3][4] Group 4: Market Context - As the technology benefits in consumer electronics diminish, the smart automotive sector is emerging as a new growth axis, prompting many tech companies to explore cross-industry opportunities [4] - The partnership between AAC Technologies and Hebei Chuguang may serve as a replicable model for building acoustic system capabilities within the domestic smart automotive supply chain [4]

Investment Rating - The industry investment rating is "Outperform the Market," indicating that the industry index is expected to perform better than the benchmark index over the next 6-12 months [32]. Core Insights - The collaboration between NVIDIA and MediaTek to develop high-performance APU is expected to innovate the gaming laptop market and capture the enterprise-level AI PC market [4][11]. - SoftBank and Intel's partnership aims to create AI storage chips that could reduce power consumption by 50%, potentially revolutionizing AI infrastructure [14][15]. - The launch of the Huawei and JAC Motors' ZunJie S800 showcases China's strength in smart automotive technology, enhancing its global competitiveness [16]. Summary by Sections Company Developments - Kingsoft Office plans to acquire a 31.9769% stake in Digital Network Technology for approximately 25.37 million yuan, achieving full ownership [3]. - Chuangye Heima announced its participation in acquiring a 36.6015% stake in Beijing Banxintong Technology for 10.25 million yuan, with a payment plan involving a 30% upfront payment [3][23]. Investment Recommendations - Attention is recommended for companies related to AI PCs and gaming PCs, including Zhongke Chuangda, Softcom Power, Zhiwei Intelligent, Raytheon Technology, and Yidao Information, due to the anticipated impact of the new APU [4]. Industry News - The global gaming laptop shipment is projected to grow by 9% year-on-year in 2024, with an expected shipment of 9.2 million units in China by 2028, reflecting a compound annual growth rate of 4.2% [12]. - The collaboration between SoftBank and Intel is expected to address the energy consumption challenges in AI computing, with a total investment of approximately 1.5 billion yuan [14][15].