智能驾驶下半场，谁能让消费者从“敢尝鲜”到“愿买单”？

Core Insights - The automotive industry's narrative around AI is shifting from showcasing technical capabilities to focusing on system reliability and user experience [1][2] - The competition is moving from a "functionality race" to a focus on "system reliability and experience stability" [2][4] - The future of smart driving will depend on companies' ability to provide consistent experiences across various conditions, requiring them to evolve from mere algorithm developers to comprehensive system and software providers [2][3] Industry Trends - The transition from "demonstration-level" intelligence to reliable system engineering is becoming a critical competitive factor [2] - The concept of "end-to-end" technology, combined with large models and real-world data feedback loops, is seen as the mainstream direction, but it poses significant entry barriers [3][4] - Companies must possess vast amounts of real, replayable driving data and strong simulation capabilities to succeed in this new landscape [3] Consumer Behavior - Consumer decision-making is evolving from curiosity about technological advancements to a practical focus on reliability and ease of use [4] - Trust in smart driving systems is becoming essential for consumers, influencing whether these features become a necessity in purchasing decisions [4] - The competition in smart driving will hinge on system engineering capabilities, data efficiency, and reliable user experiences, with companies that understand this shift likely to gain a competitive edge [4]