MolocoMoloco

Discovery is shifting fast: New insights on AI, apps, and the fight for attention

By Paul D'Arcy·2026年8月6日·4 分钟阅读

摘要

作者以自身旅行预订体验开篇,指出AI正在将复杂的搜索过程压缩至秒级,由此引出Moloco与BCG联合发布的AI Disruption Index研究。该研究将17个行业按AI颠覆风险与客户关系强度划分为四类:Breached、Undefended、Contested与Secured,并指出前两类企业最易受冲击。六个月后,作者团队进一步追踪了这些行业的变化趋势,发现颠覆速度正在加快。

从web流量看,受AI冲击最严重的行业跌幅明显:新闻下降26%、教育下降22%、健康健身下降16%。核心原因在于这些行业的价值主张原本是提供信息,而大模型已能直接回答用户问题,导致访问需求骤减。相比之下,以交易为核心的行业(如旅游)尚未出现明显流量下滑,说明交易型场景仍依赖主动搜索与决策。

与web的疲软形成对比,app端表现更具韧性。研究分析了各行业Top 100 app的MAU,发现零售增长6.1%、游戏增长9.4%、传统金融增长4.5%,教育更是大涨22.6%——但增量主要由AI原生学习应用贡献,传统玩家则持续下滑。同时,付费安装占比在所有行业均呈上升趋势:体育与预测类增长20.3%,传统金融与新闻各增8.4%,按需服务和约会各增5.3%。这表明品牌正加大UA投入,因为app在用户粘性、第一方数据利用和可控获客渠道上优势明显。

面对颠覆,领先品牌已开始调整策略,以旅游行业为例:Tripadvisor从SEO依赖的传统业务转向体验产品;Booking披露其app直接渠道预订占比持续上升;Priceline则重构了AI助手Penny,采用多模型协调十个专项agent的agentic架构。总体而言,品牌必须围绕客户关系构建纵深防御,将app与直接渠道作为核心阵地,并积极与LLM生态合作,才能在发现方式剧变中保持竞争力。

分析师点评

这篇报告的价值在于用跨行业数据揭示关键信号:AI对数字发现的影响并非均匀分布,而是集中在信息型web服务上,app生态则展现出更强的抗冲击性。尤其值得关注的是,付费安装占比在所有行业上升,且增幅最大的并非AI冲击最严重的领域,而是预算充足、竞争激烈的品类——这说明移动端用户获取正在成为品牌应对AI重塑消费者路径的防御性投资。对UA及变现团队而言,web端流量红利进一步收窄,app内的第一方数据与可控触达能力成为更核心的资产。

旅游行业的领先案例也显示,与LLM合作、构建AI原生体验正在成为适配新发现逻辑的重要方向,但回归本质,客户关系的直接经营才是对冲AI扰动的主线。在隐私与AI双重变局下,付费流量效率与数据价值的权衡将决定下一阶段竞争力。

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