Core Insights - The 2025 World Intelligent Connected Vehicles Conference opened in Beijing, highlighting the transformative impact of AI on the automotive industry and the challenges faced by the sector [1][3] Industry Transformation - AI is evolving from a technical tool to the soul of the industry, reshaping every value chain in the automotive sector, with a shift in competition from horsepower to computing power [3] - The core elements of competition are redefined as core software and hardware technology innovation, data-driven user insights, and agile organizational structures [3] Product Value Model - By 2030, the automotive product value is expected to follow a "442" model, with hardware accounting for 40%, software for 40%, and content services for 20% [3] - The business model is transitioning from one-time hardware sales to a lifecycle operation model that includes software and services, emphasizing electrification, intelligence, and ecosystem expansion [3][4] Technological Innovation - The traditional V-shaped development process is being replaced by an agile closed-loop model of "development - verification - learning," breaking linear supply chain relationships [4] - Tech giants are emerging as new Tier 0.5 platforms, reshaping product experiences and brand positioning [4] User Experience - In the AI era, users prioritize experience value over brand, with consumption scenarios expanding from mere transportation to multifunctional services [4] - Companies must enhance their ecosystem-building capabilities through AI to meet personalized and evolving user demands [4] Company Initiatives - The company is implementing an "AI + three-year action plan" to transition from a traditional manufacturing enterprise to a "mobility technology company" [4] - The development of the "Open Mind" enterprise intelligent life form and the "Qixing Cloud Workbench" supports over 20,000 employees in online collaboration, injecting vitality into the organization [4][5] Product Innovations - The Hongqi brand has launched "Sinan Intelligent Driving" and "Lingxi Cockpit," with advanced features such as a recognition precision 50 times greater than laser radar and a computing power of 1000 TOPS [5] - The company has established 25 intelligent factories across five production bases, upgrading production lines and utilizing over 160,000 industrial equipment data points [5] Industry Challenges - The automotive industry faces three core challenges: lack of self-controlled key technologies, issues with repeated construction and data barriers, and the need for breakthroughs in commercializing L3-level autonomous driving [6][7] - The company emphasizes focusing on seven core elements, including computing power, data, and algorithms, to build an open ecosystem through collaborative efforts [6][7]
刘亦功:AI 重塑产业逻辑,一汽以生态共筑智能网联新未来