监管层面也需同步发力。应加快完善《汽车数据安全管理若干规定（试行）》等法规，明确数据归属权 与使用权边界；建立独立于车企的第三方数据监管平台，对事故数据实施强制存证与公正解读；加大对 数据垄断行为的惩戒力度，让傲慢者付出代价。 张亚周的胜利，是消费者权益对技术傲慢的一次艰难突围。它提醒所有智能车企：技术没有特权，傲慢 终将反噬。唯有将用户权益置于技术之上，以谦逊之心拥抱透明与责任，行业才能真正驶向安全与信任 的未来。 本版专栏文章仅代表作者个人观点 特斯拉"车顶维权"女车主张亚周历经四年诉讼，终于迎来法院判决特斯拉提供事故前半小时完整行车数 据的胜利。这一判决不仅为张亚周个人争取到了应有的权利，更如一道强光，刺穿了智能汽车行业长期 笼罩的技术傲慢迷雾，为整个行业敲响了警钟。 智能汽车时代，数据已成为车辆运行的"数字指纹"，记录着驾驶行为、系统状态乃至事故真相。然而， 部分车企却将数据视为私有领地，以技术复杂性为借口，以隐私保护为盾牌，筑起高高的数据壁垒。特 斯拉在张亚周案中的态度，正是这种技术傲慢的典型映射：面对车主对刹车失灵的质疑，企业以"数据 未见异常"单方面定调，拒绝提供完整数据，甚至将维权者推向舆论对 ...

Core Viewpoint - The platform economy is currently trapped in a "low-price competition" and "subsidy war" dilemma, necessitating urgent solutions to transition towards healthy competition focused on efficiency and service [1][23]. Group 1: Investigation Initiatives - The "Breaking 'Involution' and Reshaping Ecology" investigation action was initiated by the Digital Economy New Media & Think Tank Network Economic Society to promote healthy development in the platform economy [1][23]. - This investigation follows the significant achievements of last year's "Refund Only" investigation, aiming for a more comprehensive and in-depth analysis [1]. Group 2: Expert Involvement - The investigation involves collaboration with university professors, associations, think tank experts, investors, lawyers, and analysts to deeply interpret the "involution-style" competition in the platform economy [9]. - A report titled "2025 Platform Economy 'Anti-Involution' Analysis Report" will be published as a result of this investigation [9]. Group 3: Key Issues Identified - The investigation highlights several practical challenges in applying core legal principles, such as the difficulty in cost recognition for predatory pricing and the ambiguity in defining market dominance in a two-sided market [11][12]. - Issues related to algorithmic collusion and the challenges of proving such behavior under current antitrust laws are also emphasized [13]. Group 4: Legal Gaps and Recommendations - There is a lack of clarity in recognizing data abuse and data monopoly, which hampers effective enforcement against platforms that utilize data advantages to stifle competition [14]. - Recommendations include refining platform economy-specific regulations, enhancing data and algorithm governance, and optimizing enforcement mechanisms and liability systems [18][19][20]. Group 5: Focus Areas of Investigation - The investigation will focus on various sectors, including retail e-commerce platforms (e.g., JD.com, Taobao, Douyin), local life (instant retail) platforms (e.g., Meituan, Ele.me), cross-border e-commerce platforms (e.g., Amazon, AliExpress), ride-hailing platforms (e.g., Didi Chuxing), and online travel platforms (e.g., Ctrip, Qunar) [24][32].