The AI race has moved from the smartest model to the assistant that gives everyone else their orders. Three weeks in: where each contender stands, how our first calls have fared, and what would prove us wrong.
Where we stand. For three years the AI race was about the smartest model. That race is ending in a draw: models are converging, and they can be rented. The contest has moved up a floor, to the assistant you actually talk to, the one that books, buys and files on your behalf and hires everything underneath it to do so. Meta, Apple, Microsoft, OpenAI, Google and Amazon are now fighting for that front door. Nobody owns it yet. This note maps the fight, marks our earlier calls to market, and sets out what would prove us wrong.
The model is no longer the moat. Meta, OpenAI, Google, Anthropic and SpaceXAI all ship comparable frontier models, and most of them will rent theirs to anyone. What sets a product apart now is the layer above: the app you open, the habit you form, the permissions you grant, and whether the thing can actually do the job rather than describe it.
The clearest evidence is who is chasing whom. Meta launched Muse, a personal agent that shops, books and fills in forms, on 8 September. It reached No. 1 among free US iPhone apps by 18 September, ahead of ChatGPT, on roughly three million downloads in under three weeks (third-party estimates; Meta has not disclosed usage). OpenAI, with by far the largest existing user base, is reported by The Information to be building a task agent and weighing a Muse-style assistant in response. Leading on the model did not secure the front door.
And the agent itself is becoming a commodity. Muse is, in Meta’s own words, “heavily inspired” by OpenClaw, a free open-source agent. Microsoft’s new always-on Autopilot is built on a “hardened” version of the same code, as described in Alex Heath’s interview with Satya Nadella (and reported earlier by GeekWire). OpenAI hired OpenClaw’s creator in February. Three of the largest companies in the field are cooking from one public recipe. When everyone has the recipe, the edge is the kitchen: distribution, trust, the checkout, and who can afford the computing bill.
Advertising does not vanish when an assistant does the shopping. It changes shape, into one of three business models.
The money at stake is large and, so far, still growing. In the April–June quarter, Google Search earned US$63.3bn (+17%), Meta’s advertising US$59.4bn (+27% at constant currency), Amazon’s advertising US$19.8bn (+26%) and YouTube US$11.1bn (+13%): about US$154bn in one quarter (63.3 + 59.4 + 19.8 + 11.1). All of it predates Muse; July–September holds barely three weeks of it.
Apple is the camp we under-weighted. Siri AI runs on “Apple Foundation Models, custom-built in collaboration with Google and its Gemini models”, on the device and on Apple’s own servers, where Apple says personal data is “not stored nor made accessible to Apple or anyone else”. But it is slow and narrow: a waitlisted beta, English only, not in the EU on the iPhone or in mainland China, with no “agent mode” (MacStories) and no shopping. Apple and Google hold the strongest structural cards, the phone itself. Neither has yet turned that into the habit Muse built in three weeks.
Which middlemen are most exposed? Our working rule: exposure = how interchangeable the product is × how much the business depends on someone else’s front door. A hotel room sold on three sites at the same price is a comparison an agent does well. A company that owns its door, as Amazon does, can defend. One that depends on search pages and now on assistants is more exposed.
| The market’s first verdict | Past month | What is in the price, and what is not |
|---|---|---|
| Meta | +30% | Paying for the door-owner, before a single Muse revenue figure exists. |
| Apple | +9% | Near its 12-month high on iPhone demand. Siri is barely in the conversation. |
| Microsoft | +4% | Most of it on the Copilot relaunch day (+3.7% on 25 September). |
| Alphabet | +1% | Owns Android and supplies Siri’s models; its own agent still a side tab. |
| Amazon | −4% | The wall is up; whether it protects the ad business is untested. |
| Expedia · Booking | −21% · −22% | Sold as the middlemen an assistant can go around. Not every point of it is about assistants. |
| Schwab · LPL · Allstate | −9% · −13% · −12% | Part of the selling was linked to agents making it easier to switch provider (the “consumer inertia” idea, Bloomberg citing Goldman). We treat the link as unproven: rates moved sharply too. |
One-month share-price change to the close of Friday 25 September 2026 (FMP); describes market reactions, not a view on any security.
At home, the door is a habit. At work, it is a permission. Consumers use whatever is already open on their phone, which favours Meta with WhatsApp and Apple with the iPhone. Companies use whatever IT can control, which favours Microsoft’s bet on identity, compliance and an audit trail for every agent.
Trust is already being tested. On 22 September a researcher showed that malware on a Mac could hijack Muse; Meta fixed it within a day. On 25 September Reuters, citing The Information’s review of an internal Meta incident report, said a separate SEV-2 flaw could expose a user’s cloud computer holding “emails and files”; Meta added a clearer safety warning. Reuters did not verify it; Meta had not commented. For banks, insurers and wealth managers, this is the whole question: an assistant that can act on your behalf is only as useful as it is safe.
The recipe Muse borrowed went through a full cycle in China this spring. In March about 1,000 people queued at Tencent’s Shenzhen headquarters for help installing OpenClaw, local governments offered grants, and every big cloud firm launched a copy. Within days Beijing restricted it at government agencies, state firms and banks, citing security. By September the hype had gone. Three things killed it: cost, setup and security. In our read, the gains stayed with whoever owned the chat app: Tencent through WeChat, Alibaba and ByteDance through DingTalk and Lark. Muse is built for the second act: hosted, with vetted add-ons, no real passwords or card numbers seen by the agent, computing paid by Meta, and WhatsApp as its WeChat. China’s regulators act in days, the West’s in months.
1 · The door may have no moat either. If users switch at no cost, owning today’s favourite guarantees little (Paul Kedrosky’s “moat-less AI”; Gemini lagging despite Google’s reach supports it).
2 · The numbers disagree so far. No company has yet disclosed a fall in clicks attributable to assistants.
3 · Downloads are not habits. Meta has disclosed no daily-user figure, and repeat use decides this.
The value in AI is moving to the front door: the assistant that holds the customer and hires everything below it. The models become suppliers, even to the most self-sufficient company in technology. The shops become plumbing. Advertising turns into a toll, a meter or a subscription paid to whoever owns the door.
But nobody owns it yet, and it may not stay owned. Meta has the habit and the fastest start. Apple and Google own the phones; Apple has the trust but is the slowest, and Google supplies Apple but has not yet made its own agent a habit. Microsoft has the office and the permission. Amazon is defending its own. Our base case is a contested door for at least the next year, not a winner.
What this is not: a call that advertising collapses, or a verdict on any company. It is a map of where value is trying to go, and of the evidence that will show whether it gets there.
| The call | Today | Evidence so far |
|---|---|---|
| Another security headline within six months | HIT, EARLY | Three days later, on a report (Reuters citing The Information), and via the cloud computer rather than the email inbox we expected. |
| OpenAI ships a Muse-style consumer assistant | LIVE TEST | OpenAI’s DevDay is Tuesday 29 September. Leaks of an always-on assistant are unconfirmed. |
| The download spike fades by Christmas | NOT YET | Estimated downloads are still rising. No usage figure disclosed. |
| Muse moves into WhatsApp shopping | NOT YET | No announcement since Connect. |
| Meta’s results put a first number on Muse; ad growth above 20%; spending outlook rises | LATE OCT | Meta’s July–September results, expected around 28 October. |
| A retailer now blocking Muse lets it in on negotiated terms within 12 months | NOT YET | Amazon’s block stands. |
And one miss of our own: our 24–25 September map left out Apple’s 14 September Siri AI launch. This note corrects it.
Each test maps to one of the positions set out under “What it means for portfolios” below: the door owner, the renter, the middleman, the brain supplier and the owner of computing.
| The question | What would answer it | What it would mean for the investment case |
|---|---|---|
| Is OpenAI a follower or a fast follower? 29 Sep (DevDay) | A consumer assistant that acts, shipped rather than previewed. | A strong launch makes the door more crowded and costlier to hold. It favours the brain suppliers and computing over any single door owner. |
| Is ad money actually moving? ~28–29 Oct, then Q4 | Google’s paid-click growth; Amazon’s ad growth; any Muse fee line in Meta’s results. | Clicks slowing while a fee line appears would strengthen the door owner case and weaken middlemen reliant on search. If not, the shift is slower and the travel sell-off may have run ahead of the evidence. |
| Does Microsoft’s meter show up? Late Oct | Any disclosure of Copilot credit revenue, and whether it is booked with Office or with Azure. | Visible usage revenue would show the work door can earn more without more seats. |
| Do the phone owners turn position into habit? Oct → June 2027 | Siri AI leaving the waitlist and reaching the EU and China; an agent mode or checkout; Gemini’s agent promoted from a side tab. | Yes: the phone owners start earning at the door and Muse’s lead narrows. No: the habit stays with the chat apps. |
| Does “inertia” income erode? Oct results | Cash-sweep balances at brokers and renewal rates at insurers. | Erosion would mark businesses that rely on customers not shopping around as exposed. Stable numbers would say September’s selling was about rates. |
| Is Muse a habit or a hit? Q4 | A daily-user figure; the US ranking through December; the Muse Charm device (due December). | A disclosed habit would support the premium the market already pays the door owner. A fade would say the door has no moat. |
| Does the wall hold? 12 months | A second big retailer joining Amazon’s block, or Amazon negotiating terms. | If it holds, owning your own traffic is a defence. If it cracks, every store eventually pays the toll. |
The useful question is not which assistant is best, but where each business sits relative to the door:
人工智能竞争已从“最强模型”转向“向其余各方发号施令的个人助手”。三周过去,各方站位如何,我们的首批判断表现如何,以及什么证据会证明我们错了。
导读:人工智能竞争的主战场,正从“谁的模型最强”上移至“谁掌握用户入口”,即那个替用户下单、订票、处理事务,并调度其下全部资源的个人助手。入口之争已经开打,但尚无赢家。本文梳理各方站位,对我们9月25日提出的六项判断进行逐一回看,并列出可证伪的检验要点。
模型不再构成护城河。Meta、OpenAI、谷歌、Anthropic与SpaceXAI的前沿模型能力已大体相当,且多数可对外租用。真正拉开差距的是模型之上的一层:用户打开哪个应用、形成何种使用习惯、授予哪些权限,以及产品能否真正替用户把事情办完。
最直接的证据,是谁在追赶谁。Meta于9月8日推出个人智能体Muse,可代为购物、订票与填表,9月18日即登顶美国苹果应用商店免费榜,超越ChatGPT;据第三方估算,上线不足三周下载量约300万次,Meta尚未披露使用数据。据《The Information》报道,拥有最大存量用户的OpenAI正加紧开发任务型智能体,并考虑推出对标Muse的个人助手。模型层面的领先,并未自动转化为入口层面的优势。
智能体本身亦在快速同质化。Meta公开表示Muse“在产品上深受OpenClaw启发”;据Alex Heath对微软首席执行官纳德拉的专访介绍(GeekWire此前亦有报道),微软新推出的常驻型智能体Autopilot基于“加固版”OpenClaw构建;OpenAI则已于2月延揽OpenClaw创始人。三家头部公司共用同一份公开配方,胜负因而取决于“厨房”而非“菜谱”:分发渠道、用户信任、结账环节,以及谁有能力承担算力账单。
助手代为购物之后,广告收入并不会消失,而是改变形态。目前可见三种商业模式,各方已分别押注。
涉及的资金规模庞大,且目前仍在增长。2026年第二季度,谷歌搜索收入633亿美元(同比+17%),Meta广告收入594亿美元(按固定汇率同比+27%),亚马逊广告收入198亿美元(同比+26%),YouTube广告收入111亿美元(同比+13%),单季合计约1,540亿美元(63.3+59.4+19.8+11.1)。上述数据均发生在Muse上线之前;首个可能体现变化的是第三季度,而该季度仅覆盖Muse上线后约三周。
苹果是我们此前低估的一方。Siri AI运行于“与谷歌及其Gemini模型合作定制的苹果基础模型”之上,在设备端及苹果自有服务器处理,苹果称用户个人数据“不会被存储,亦不会向苹果或任何其他方开放”。但其推进缓慢且覆盖有限:测试版需排队等候,目前仅支持英文,iPhone端暂未在欧盟上线,中国大陆亦暂不可用(有待监管批准),且尚无“智能体模式”与购物功能。苹果与谷歌手握最有力的结构性筹码,即终端本身,但二者都尚未将其转化为Muse三周之内建立起来的使用习惯。
哪些中间商受冲击最大?我们的判断框架是:风险敞口=所售商品的可替代程度×对他人入口的依赖程度。同一间酒店客房在三个平台以同价出售,正是智能体最擅长的比价场景;像亚马逊这样自有入口的平台尚可防守,依赖搜索页面、如今又需依赖助手导流的中间商则首当其冲。
| 市场的初步定价 | 近一个月 | 已计入与尚未计入的部分 |
|---|---|---|
| Meta | +30% | 在Muse尚无任何收入数据之前,市场已率先为入口方定价。 |
| 苹果 | +9% | 受iPhone需求推动,接近12个月高点;Siri几乎未进入定价逻辑。 |
| 微软 | +4% | 主要涨幅来自Copilot改版发布当日(9月25日+3.7%)。 |
| Alphabet | +1% | 掌握安卓并为Siri提供模型;自有智能体仍是应用内的次级入口。 |
| 亚马逊 | −4% | 封锁已落地,能否守住广告业务尚待检验。 |
| Expedia · Booking | −21% · −22% | 作为可被助手绕开的中间商遭抛售,但跌幅并非全部源于助手因素。 |
| 嘉信理财 · LPL · Allstate | −9% · −13% · −12% | 部分抛售被归因于智能体降低了用户更换服务商的门槛(即“用户惰性”逻辑,彭博援引高盛观点);但同期利率大幅波动,我们认为二者关联尚未得到证实。 |
截至2026年9月25日(周五)收盘的近一个月股价变动(数据来源:FMP),仅用于描述市场反应,不构成对任何证券的观点。
消费端的入口是使用习惯,企业端的入口是权限授予。消费者倾向于使用手机上已经打开的应用,利好聊天应用与终端的拥有者,即手握WhatsApp的Meta与手握iPhone的苹果;企业则只会采用IT部门能够管控的工具,利好微软以身份认证、合规管理与全流程审计为核心的布局。微软的卖点,正是成为安全可控的那一款。
信任问题已经开始接受检验。9月22日,有安全研究人员演示了Mac上的恶意软件可劫持Muse,Meta于一天内完成修复。9月25日,路透社援引《The Information》对Meta内部事故报告的审阅称,另一漏洞可能导致存放用户“邮件与文件”的云端虚拟机遭访问,严重等级为SEV-2,Meta随后在Muse内加入更醒目的安全提示;路透社未独立核实,Meta未予置评。对银行、保险与财富管理机构而言,这正是问题的核心:能够代表用户行事的助手,其价值以其安全性为上限。
Muse所借鉴的配方,今年春天已在中国走完一个完整周期。3月,约千人在腾讯深圳总部排队求助安装OpenClaw,多地政府推出补贴,各大云厂商纷纷推出同类产品;数日之内,北京即以安全为由,限制其在政府机关、国有企业及银行中的使用;至9月热度已基本消退。成本、部署门槛与安全顾虑三大因素终结了这轮热潮。我们认为,价值最终沉淀于聊天应用的拥有者:消费端归于依托微信的腾讯,企业端归于依托钉钉与飞书的阿里巴巴和字节跳动。
Muse的设计针对的是第二阶段而非第一阶段。无需安装,插件由Meta审核,智能体接触不到用户真实的密码与卡号,算力成本由Meta承担,WhatsApp则扮演其“微信”的角色。需要提示的是,中国监管以天为单位行动,美欧监管则以月计,西方若出现反弹,节奏将更慢、力度也更温和。
其一,入口本身或许同样没有护城河。若用户可零成本切换助手,拥有当下最受欢迎的产品并不意味着长期优势。Paul Kedrosky对这一“无护城河的AI”观点有充分论述,而谷歌凭借庞大分发渠道仍未跑赢,亦是佐证。
其二,数据尚不支持。Muse上线前各家广告收入均保持强劲增长,迄今尚无任何公司披露可归因于助手的点击量下滑。
其三,下载不等于留存。Meta尚未披露日活数据,而决定成败的正是复用率,目前无人掌握。
AI的价值正在向入口迁移,即掌握客户、并调度其下全部资源的个人助手。模型沦为供应商,连科技行业最强调自给自足的公司亦不例外;商户转为“管道”;广告则演变为向入口方支付的抽成、计量费或订阅费。
但入口尚无归属,且未必能长期归属于某一方。Meta拥有使用习惯与最快的起步;苹果与谷歌手握终端,其中苹果拥有用户信任但推进最慢,谷歌为苹果供货,却尚未让自家智能体形成使用习惯;微软拥有办公场景与企业授权;亚马逊则在守护自家阵地。我们的基准情形是:未来至少一年内入口处于争夺状态,而非出现明确赢家。
需要明确:本文并非看空广告业务,亦非对任何公司的评价,而是勾勒价值流向,并列出可供验证的证据。
| 判断 | 当前状态 | 迄今证据 |
|---|---|---|
| 六个月内再出安全事件 | 提前应验 | 三天后即出现(路透社援引《The Information》报道),但出事环节为云端虚拟机,而非我们预期的邮箱功能。 |
| OpenAI推出对标Muse的消费级助手 | 即将检验 | OpenAI开发者大会定于9月29日(周二);有关常驻型助手的传闻尚未获证实。 |
| 下载热潮于圣诞前回落 | 尚未发生 | 估算下载量仍在上升,使用数据尚未披露。 |
| Muse切入WhatsApp购物 | 尚未发生 | Connect大会后尚无相关公告。 |
| Meta财报首次披露Muse数据、广告增速高于20%、资本开支指引上调 | 10月下旬 | Meta第三季度业绩预计于10月28日前后发布。 |
| 12个月内至少一家封锁方以协商条件放行 | 尚未发生 | 亚马逊维持封锁。 |
同时需要检讨一处遗漏:我们9月24日至25日的竞争格局梳理未纳入苹果,而苹果早在9月14日已推出Siri AI,本文予以补正。
每项检验均对应第七部分所列的一类位置:入口方、租用方、中间商、模型供应商与算力提供方。
OpenAI是追随者还是快速追随者(9月29日开发者大会):观察其能否推出真正可执行任务、且正式上线而非预览的消费级助手。
含义:若发布强势,入口竞争更趋拥挤、坚守成本上升,受益方更偏向模型供应商与算力提供方,而非任何单一入口方。
广告资金是否真正迁移(10月28日至29日前后,其后为第四季度):谷歌付费点击增速、亚马逊广告增速,以及Meta财报中是否出现Muse抽成收入。
含义:若点击放缓且抽成收入出现,入口方逻辑得到强化,依赖搜索导流的中间商承压;反之则迁移慢于预期,旅游板块的抛售或已跑在证据之前。
微软计量收入是否显现(10月下旬):Copilot积分收入的任何披露,以及其计入办公业务还是Azure。
含义:若使用量收入可见,说明企业端入口无需新增席位即可提升变现。
手握终端者能否转化为使用习惯(10月至2027年6月):Siri AI取消排队并进入欧盟与中国市场,推出智能体模式或结账功能;谷歌智能体由次级入口升级为主入口。
含义:若是,终端拥有者开始在入口处变现,Muse的领先优势收窄;若否,使用习惯仍留在聊天应用。
“惰性收入”是否受到侵蚀(10月业绩期):券商的客户闲置现金余额与保险公司的续保率。
含义:若出现侵蚀,依赖客户“不比价”的业务应被视为风险敞口;若数据稳定,则9月的抛售主要源于利率。
Muse是习惯还是爆款(第四季度):日活数据、12月前的美国榜单排名,以及12月发货的Muse Charm硬件。
含义:若披露出稳定使用习惯,将支撑市场已给予入口方的溢价;若热度消退,则说明入口本身并无护城河。
封锁能否持续(12个月内):是否有第二家大型零售商加入亚马逊的封锁,或亚马逊转而协商接入条件。
含义:若封锁持续,自有流量即构成防御;若出现松动,所有商户终将向入口方付费。
若年底前某一助手同时明确赢得消费端与企业端,则“入口持续争夺”的基准情形不成立,胜出者的价值应显著高于我们目前的假设。
若各类助手长期免费,抽成、计量与订阅均无法站稳,则入口是成本中心而非收费站,价值将留在算力拥有者手中。
关键问题不在于哪款助手最好,而在于每项业务相对于入口处于何种位置:
个人智能体:不仅回答问题,还能代用户执行任务的AI,例如比价下单、预订行程、处理邮件。
用户入口:用户开始一件事时首先打开的地方。过去是搜索框,未来可能是一个助手。
租用模型:自身不训练模型,而是付费使用他人的模型,并以自有品牌对外提供服务。
计量计费:按实际使用量收费,而非按人头收取固定席位费。
本中文版依据同一事实与研判独立撰写,非英文版本之翻译。两版如有出入,概以英文版本为准。