3 6 Ke·2026-01-18 23:37Core Viewpoint - The rise of smart glasses, particularly from automotive companies, signifies a shift in the automotive industry towards integrating AI and smart hardware, transforming traditional business models from one-time vehicle sales to ongoing subscription-based services [1][3][9]. Group 1: Transition from Hardware to Smart Hardware - The transition from hardware to automotive manufacturing began in 2019, driven by a peak in smartphone sales and a surge in electric vehicle sales, leading hardware manufacturers to explore automotive opportunities [3][5]. - Companies like Xiaomi and Huawei have either entered the automotive market directly or partnered with automakers to develop smart driving and vehicle integration solutions [3][5]. - The evolution of smart hardware in vehicles is seen as a natural progression, with the automotive industry now embracing AI to create a unified smart ecosystem [1][3]. Group 2: New Profit Models for Automotive Companies - The introduction of smart glasses, such as Li Auto's Livis, illustrates a shift towards products that enhance brand loyalty and provide continuous data collection, which can improve AI model capabilities [10][11]. - The automotive industry is moving towards a model where vehicle sales become part of a broader consumer lifestyle platform, focusing on software services that offer higher profit margins compared to traditional vehicle manufacturing [13][14]. - The integration of AI into both vehicles and smart hardware allows for shared components and reduced costs, enhancing overall efficiency and profitability [14][16]. Group 3: Challenges in the AI Transition - The transition to AI-driven models presents significant challenges, including high costs associated with data, algorithms, and computational power, which create barriers to entry for new players [17][19]. - Successful companies in this space must have substantial financial resources, technical expertise, and the ability to scale operations to effectively compete [18][19]. - The competitive landscape is likely to solidify around a few leading brands capable of leveraging their existing consumer base and data to enhance their AI capabilities [19].