解析Meta Muse，预想应用场景与AI变现模式

Meta Muse早期下载数据，讨论意义其实不大

Meta 9/9推出全新人工智慧代理（AI Agent）工具「Muse」，两周来迅速在美国应用程式排行榜取得亮眼成绩。根据市场研调机构 Sensor Tower 数据，Muse 上线前 6 天即在美国苹果 iOS 与 Google Play 免费榜荣登第 1 名，下载量突破 90.2 万次，超越前代产品表现。并且在多项指标上超越了 ChatGPT 早期的行动版成绩，这也是外资争相调高META目标价，以及掀起9/21美股 CPU狂潮，本周主要利多催化剂:

针对于以上的数据与市场动向，笔者认为需要留意时空背景的不同，所谓早期数据的比较并非同一立足点，在ChatGPT时代，是一个普罗大众几乎完全不认识LLM、生成式AI的时期，凭空出世自然「早期成绩」不会太好，ChatGPT的重点是划时代的transformer架构与大规模应用。而Muse推出的现在，普罗大众都知道AI，甚至是在烧钱补贴token的情况下滥用/乱用AI，所谓的免费版下载数与活跃人数，当然累积得很快，这是典型张飞打岳飞的情况。

真正的重点: Muse早期使用者反馈，及应用场景预想

Muse具备跨平台整合能力，透过浏览器连接 Gmail、Google 日历、Notion、Opeantable或财务软体等，结合外部第三方平台代为处理日常数位任务。并且除了独立的Muse App，也深度整合至Meta旗下的 WhatsApp。

使用场景观察早期使用者的分享，本中心推测Muse的优势是便于商业化，产生类广告与完成付费的最后一哩路。Ex:咨询与跨平台比价过后，完成预订商家/服务；另一个类似比价的是贷款利率，反复打电话与话术砍价(利率)，美国用邮件与银行往来交涉，有实测成功…

主要优势关键与营运利多如下:

1.利用Meta社群之王的优势，资料来源来自可调用数亿使用者的社群内容(ex:非公开IG帐号)_

2.从过往广告收入90%盈利占比，扩增至订阅以及交易收入分成，并向市场说明其AI变现

→整体来说，主要应用不脱离预约(餐厅/计程车、服务、课程)的日常生活行程安排，以及反复且繁复比价。更像是从一问一答，延伸到更完整的执行助理任务，至于反复的触发条件并执行单一任务，这类AI代理仍然应用场景偏少，更像是AI助理。

付费架构

竞争对手与供应链垂直整合比较

目前AI助理的主要竞争对手，只有SpaceX(xAI)的Grok bot。在此方面仍是蓝海市场，这两家厂商的模式较相同，可以理解

1.既有SNS app用户数庞大，有特殊资料可以调阅

2.不像三大公有云服务可以做AI退路(对比Google、Microsoft、AWS)

3大模型的追赶始终落后(对比OpenAI、Anthtopic)

4.缺乏成熟ASIC，AI成本相对大(对比Google、AWS)，遂转往AI助理发展。

延伸讨论与后续追踪的议题是:

AI app的心占率，软体之间的竞争反而是重点，Amazon先行ban掉Muse，可见端倪
另外，每每都是手机AI应用先行，这也侧面证明了高精度、广泛应用产景的终极应用，在现代社会很难落实，真正的AI代理，技术入门与硬体建置(个人工作站)等门槛都太高了，宁愿降规与简化，这个取舍也是AI发展之中，特别可以持续追踪的方向，也代表边缘AI与落地应用并没有想像中这么快、这么美好。

（撰文者：永诚资产管理处分析师范振峰）

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Muse可串接Gmail、日历、Notion等，并整合WhatsApp，主打预约、比价与付费完成。
市场看好Meta AI变现，但作者认为早期下载不宜与ChatGPT直接比较，应看使用回馈与场景。", "img": "https://cimg.cnyes.cool/prod/news/6614991/l/0093280b8c8b9605c24888390795c90d.jpg", "content": "Meta Muse早期下载数据，讨论意义其实不大\n<img src=\"https://cimg.cnyes.cool/prod/news/6614991/l/0093280b8c8b9605c24888390795c90d.jpg\" alt=\"解析Meta Muse，预想应用场景与AI变现模式\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\">\n\n\nMeta 9/9推出全新人工智慧代理（AI Agent）工具「Muse」，两周来迅速在美国应用程式排行榜取得亮眼成绩。根据市场研调机构 Sensor Tower 数据，Muse 上线前 6 天即在美国苹果 iOS 与 Google Play 免费榜荣登第 1 名，下载量突破 90.2 万次，超越前代产品表现。并且在多项指标上超越了 ChatGPT 早期的行动版成绩，这也是外资争相调高META目标价，以及掀起9/21美股 CPU狂潮，本周主要利多催化剂:\n\n<figure><img data-height=\"128\" data-mime=\"image/png\" data-ratio=\"5.9375\" data-src-m=\"https://cimg.cnyes.cool/prod/news/6614991/m/e7481edbdd1af00d54fe3f2b0798356f.jpg\" data-width=\"760\" src=\"https://cimg.cnyes.cool/prod/news/6614991/l/e7481edbdd1af00d54fe3f2b0798356f.jpg\" srcset=\"https://cimg.cnyes.cool/prod/news/6614991/l/e7481edbdd1af00d54fe3f2b0798356f.jpg 1x,https://cimg.cnyes.cool/prod/news/6614991/xl/e7481edbdd1af00d54fe3f2b0798356f.jpg 2x,https://cimg.cnyes.cool/prod/news/6614991/xl/e7481edbdd1af00d54fe3f2b0798356f.jpg 3x\"></figure>\n\n针对于以上的数据与市场动向，笔者认为需要留意时空背景的不同，所谓早期数据的比较并非同一立足点，在ChatGPT时代，是一个普罗大众几乎完全不认识LLM、生成式AI的时期，凭空出世自然「早期成绩」不会太好，ChatGPT的重点是划时代的transformer架构与大规模应用。而Muse推出的现在，普罗大众都知道AI，甚至是在烧钱补贴token的情况下滥用/乱用AI，所谓的免费版下载数与活跃人数，当然累积得很快，这是典型张飞打岳飞的情况。\n\n真正的重点: Muse早期使用者反馈，及应用场景预想\n\nMuse具备跨平台整合能力，透过浏览器连接 Gmail、Google 日历、Notion、Opeantable或财务软体等，结合外部第三方平台代为处理日常数位任务。并且除了独立的Muse App，也深度整合至Meta旗下的 WhatsApp。\n\n使用场景观察早期使用者的分享，本中心推测Muse的优势是便于商业化，产生类广告与完成付费的最后一哩路。Ex:咨询与跨平台比价过后，完成预订商家/服务；另一个类似比价的是贷款利率，反复打电话与话术砍价(利率)，美国用邮件与银行往来交涉，有实测成功…\n\n主要优势关键与营运利多如下:\n\n1.利用Meta社群之王的优势，资料来源来自可调用数亿使用者的社群内容(ex:非公开IG帐号)_\n\n2.从过往广告收入90%盈利占比，扩增至订阅以及交易收入分成，并向市场说明其AI变现\n\n→整体来说，主要应用不脱离预约(餐厅/计程车、服务、课程)的日常生活行程安排，以及反复且繁复比价。更像是从一问一答，延伸到更完整的执行助理任务，至于反复的触发条件并执行单一任务，这类AI代理仍然应用场景偏少，更像是AI助理。\n\n付费架构\n\n<figure><img data-height=\"97\" data-mime=\"image/png\" data-ratio=\"7.835051546391752\" data-src-m=\"https://cimg.cnyes.cool/prod/news/6614991/m/6ab5d97eb50388e4ac2b0b45fe784dc2.jpg\" data-width=\"760\" src=\"https://cimg.cnyes.cool/prod/news/6614991/l/6ab5d97eb50388e4ac2b0b45fe784dc2.jpg\" srcset=\"https://cimg.cnyes.cool/prod/news/6614991/l/6ab5d97eb50388e4ac2b0b45fe784dc2.jpg 1x,https://cimg.cnyes.cool/prod/news/6614991/xl/6ab5d97eb50388e4ac2b0b45fe784dc2.jpg 2x,https://cimg.cnyes.cool/prod/news/6614991/xl/6ab5d97eb50388e4ac2b0b45fe784dc2.jpg 3x\"></figure>\n\n竞争对手与供应链垂直整合比较\n\n目前AI助理的主要竞争对手，只有SpaceX(xAI)的Grok bot。在此方面仍是蓝海市场，这两家厂商的模式较相同，可以理解\n\n1.既有SNS app用户数庞大，有特殊资料可以调阅\n\n2.不像三大公有云服务可以做AI退路(对比Google、Microsoft、AWS)\n\n3大模型的追赶始终落后(对比OpenAI、Anthtopic)\n\n4.缺乏成熟ASIC，AI成本相对大(对比Google、AWS)，遂转往AI助理发展。\n\n<figure><img data-height=\"330\" data-mime=\"image/png\" data-ratio=\"2.303030303030303\" data-src-m=\"https://cimg.cnyes.cool/prod/news/6614991/m/bd37a8ecce67c13d32d69ee1f1f35622.jpg\" data-width=\"760\" src=\"https://cimg.cnyes.cool/prod/news/6614991/l/bd37a8ecce67c13d32d69ee1f1f35622.jpg\" srcset=\"https://cimg.cnyes.cool/prod/news/6614991/l/bd37a8ecce67c13d32d69ee1f1f35622.jpg 1x,https://cimg.cnyes.cool/prod/news/6614991/xl/bd37a8ecce67c13d32d69ee1f1f35622.jpg 2x,https://cimg.cnyes.cool/prod/news/6614991/xl/bd37a8ecce67c13d32d69ee1f1f35622.jpg 3x\"></figure>\n\n延伸讨论与后续追踪的议题是:\n\n<ol>\n<li>AI app的心占率，软体之间的竞争反而是重点，Amazon先行ban掉Muse，可见端倪</li>\n<li>另外，每每都是手机AI应用先行，这也侧面证明了高精度、广泛应用产景的终极应用，在现代社会很难落实，真正的AI代理，技术入门与硬体建置(个人工作站)等门槛都太高了，宁愿降规与简化，这个取舍也是AI发展之中，特别可以持续追踪的方向，也代表边缘AI与落地应用并没有想像中这么快、这么美好。</li>\n</ol>\n\n（撰文者：永诚资产管理处分析师范振峰）\n\n点击下图【60 秒测试你的理财天赋有几分？】\n\n<figure><a href=\"https://quiz.big-econ.com/index.php?&QID=6\"><img data-height=\"190\" data-mime=\"image/png\" data-ratio=\"4\" data-src-m=\"https://cimg.cnyes.cool/prod/news/6614991/m/c93bdbda777f58946e32ec93a39f737a.jpg\" data-width=\"760\" src=\"https://cimg.cnyes.cool/prod/news/6614991/l/c93bdbda777f58946e32ec93a39f737a.jpg\" srcset=\"https://cimg.cnyes.cool/prod/news/6614991/l/c93bdbda777f58946e32ec93a39f737a.jpg 1x,https://cimg.cnyes.cool/prod/news/6614991/xl/c93bdbda777f58946e32ec93a39f737a.jpg 2x,https://cimg.cnyes.cool/prod/news/6614991/xxl/c93bdbda777f58946e32ec93a39f737a.jpg 3x\"></a></figure>\n\n「永诚资产管理处」是全台合法拥有金管字号的证券投资顾问公司中「唯一首创资产管理的部门」，20 年深耕专营台湾各大科技园区，以认真、诚信思维提供客户服务，让努力累积财富的你，也可贴身感受理财管家的 VIP 价值。\n\n没有代理金融商品，不以商品销售出发，减少你的财务漏洞！从资产配置出发，透过「专案客制化」、「服务精致化」、「获利系统化」，你不需牺牲时间体力，就能感受到资产提升！\n\n「卓越投资研究团队」加「顶尖财务顾问团队」共同与客户缔造里程碑\n\n立即加入 <a href=\"https://line.me/R/ti/p/@asset88598\">https://line.me/R/ti/p/%40asset88598</a>\n\n进一步了解资产管理处 <a href=\"https://www.ycam.com.tw/\">https://www.ycam.com.tw/</a>\n\n收听「资产汇谈」Podcast <a href=\"https://reurl.cc/nYeRQ8\">https://reurl.cc/nYeRQ8</a>\n\n本公司所推荐分析之个别有价证券 \n无不当之财务利益关系以往之绩效不保证未来获利 \n投资人应独立判断审慎评估并自负投资风险<div class=\"related-articles seo-links\">\n <h4>相关阅读</h4>\n <ul>\n <li><a href=\"/new/tw/article-7174.html\" 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