Market Intelligence · for accredited & institutional investors
MAS Capital Markets Services Licence no. CMS101936 · Fund Management
27 SEPTEMBER 2026 · MARKET INTELLIGENCE · MI-048 · PUBLIC EDITION

Who owns the front door

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.

1 · THE SHIFT
The edge has moved from the smartest model to the assistant that gets the task done. A three-week-old Meta app has had the category’s incumbent, OpenAI, reportedly scrambling to answer it.
2 · THE TELL
Apple’s new Siri runs on models built with Google’s Gemini. Microsoft’s Copilot offers OpenAI and Anthropic side by side. The companies that own the door are renting the brain.
3 · THE MONEY
About US$154bn a quarter of search, social and shopping ads is organised around people looking at screens. An assistant that does the looking for you moves that money to whoever owns the door.
4 · THE CATCH
None of it shows in the numbers yet. All four big ad businesses were growing 13–27% before Muse launched, and a chart-topping app with no switching cost can fade as fast as it rose.

From the smartest model to the front door

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.

THE FRONT DOOR · the assistant you talk to Meta Muse · Apple Siri AI · Microsoft Copilot · OpenAI ChatGPT · Google Gemini · SpaceXAI Grok Bot owns the customer, the habit and the data GIVES THE ORDERS MONEY FLOWS UP THE BRAIN · the model converging, rentable, swappable BUILD THEIR OWN Meta · OpenAI · Google costly; own the whole stack RENT ONE Apple ← models built with Google’s Gemini (supplier hidden) Microsoft ← OpenAI GPT + Anthropic Claude (menu shown) Amazon (seller agent) ← Anthropic Claude SHOPS & SERVICES Walmart · Best Buy · Gap · Sephora · Expedia · Shopify stores · Instacart — reached through the assistant, not a search page CHECKOUT & PAYMENTS Stripe · PayPal · Shop Pay — and possibly the assistant’s own wallet (a Meta Pay wallet is reported, not announced) COMPUTING chips and data centres — paid by whoever runs the assistant (for Muse, Meta pays) and paid either way
Read it top down, then bottom up. The assistant gives the orders; everything below it becomes a supplier. Money travels the other way, and more of it stops at the top. Note the brain row: the three companies that already own a door of their own, the phone, the office suite and the store, are content to rent the model. They can afford to, because the customer is already theirs.

Three ways to get paid at the door

Advertising does not vanish when an assistant does the shopping. It changes shape, into one of three business models.

The tolla cut of what the assistant buys
  • Meta: Muse is free for most users. Mark Zuckerberg said Meta will profit by “taking a small fee from transactions” (as reported from Connect).
  • A toll lets Meta earn from the purchase itself, without having to turn Muse conversations into ad targeting.
The meterpay per task
  • Microsoft: the Copilot seat stays; the agents that do real work are billed in credits at US$0.01 each (Microsoft’s rate card).
  • A single agent task can run to several dollars (a partner’s reading of Microsoft’s planning tables), so a heavy user could cost more than the seat itself. The meter is how Microsoft grows without selling more seats.
The subscriptiona monthly fee
  • OpenAI (ChatGPT plans) and SpaceXAI (Grok Bot, from US$120 a seat a month for teams).
  • Simplest to understand; hardest to defend if a rival gives the same thing away and charges a toll instead.

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.

Three camps: let it in, keep it out, own the phone

Let the agent ina new buyer channel is worth a fee
  • Walmart, Best Buy, Gap, Sephora, Wayfair, Instacart and Expedia have joined Muse; Shopify’s merchants via Shop Pay; payments through Stripe, PayPal and Shop Pay.
  • Each has its own reason: for Walmart, reaching shoppers who start outside Amazon; for Expedia and Shopify’s merchants, one more channel alongside paying search engines.
Keep it outprotect the shopper and the ad shelf
  • Amazon blocked Muse on 21 September.
  • It is arming its own agents instead: its Seller Assistant is “built on Amazon Bedrock with Anthropic’s Claude models”, and Alexa+ serves its own shoppers.
Own the phoneevery rival assistant runs on their system
  • Apple launched Siri AI in beta on 14 September, the week Muse topped its App Store. It acts across iPhone apps, including WhatsApp and Outlook, through Apple’s own developer hooks.
  • Google makes Android and builds Gemini into it, and supplies the models behind Apple’s Siri.

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 verdictPast monthWhat 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.

Two kinds of front door

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.

China already ran the experiment

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.

THE CASE AGAINST

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.

OUR READ

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.

Marked to market: the six calls we made on 25 September

The callTodayEvidence so far
Another security headline within six monthsHIT, EARLYThree 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 assistantLIVE TESTOpenAI’s DevDay is Tuesday 29 September. Leaks of an always-on assistant are unconfirmed.
The download spike fades by ChristmasNOT YETEstimated downloads are still rising. No usage figure disclosed.
Muse moves into WhatsApp shoppingNOT YETNo announcement since Connect.
Meta’s results put a first number on Muse; ad growth above 20%; spending outlook risesLATE OCTMeta’s July–September results, expected around 28 October.
A retailer now blocking Muse lets it in on negotiated terms within 12 monthsNOT YETAmazon’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.

Questions to carry forward, and what each would tell an investor

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 questionWhat would answer itWhat 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.

What would change our mind

  • If one assistant clearly wins both home and work by year-end, the “contested door” base case is wrong and the winner deserves a far higher value than we allow.
  • If assistants stay free with no toll, meter or subscription that sticks, the door is a cost centre, not a toll gate, and the value stays with the owners of computing.

What it means for portfolios

The useful question is not which assistant is best, but where each business sits relative to the door:

  • Owns a door (the chat app, the phone, the office suite): the strongest position, but it carries the computing bill until the toll, meter or subscription pays for it.
  • Rents a door: gets reach without the cost of building it, but lives by the landlord’s rules.
  • Sits behind someone else’s door, selling interchangeable goods: the most exposed; this is the middleman an assistant can go around.
  • Supplies the brain to several doors: gains volume but gives up pricing power, because the door owner can swap suppliers or hide the supplier’s name.
  • Owns the computing: paid whoever wins, the least contested part of the stack. But not immune: paid either way is not paid at any price, and our separate work suggests chip orders are running ahead of the power available to plug them in.
Ask us. If you would like to discuss how the fight for the front door bears on a specific portfolio, or how we will score the calls above as the evidence arrives, we would be glad to talk. Write to us at insights@tscapital.sg.
About this publication. A 简体中文 edition is published alongside this one and is not a translation of it. Touchstone Market Intelligence is produced by Touchstone Asset Management Pte. Ltd., licensed by the Monetary Authority of Singapore (CMS101936) for fund management, for Accredited and Institutional Investors. Not advice. This document is general commentary on market and industry developments. It is not investment advice, not a recommendation, and not an offer or solicitation to buy or sell any security. It does not take account of the objectives, financial situation or needs of any person. Companies are named as subjects of publicly reported events; naming a company is not a view on its securities. Any decision should follow a suitability discussion with your adviser. Sources and limitations. Built on company announcements, product pages and April–June 2026 results, Microsoft’s Copilot Credits guide, Alex Heath’s interview with Microsoft’s chief executive, reporting by Reuters, The Information, TechCrunch, GeekWire, Bloomberg and others, and market data to the close of Friday 25 September 2026. Download figures are third-party estimates. OpenAI’s plans and the 25 September Muse incident rest on single original sources and are labelled as reported. The “moat-less AI” argument is Paul Kedrosky’s; the first half of the exposure rule in section three was prompted by a sketch by Oguz Erkan; the framework, reasoning and conclusions are our own. Share-price changes describe market reactions and are not views on any security. Market levels move; verify before relying on any number here. Disclosure. Touchstone uses AI tools, including Anthropic’s Claude, in research and drafting. Anthropic appears in this note as a model supplier to Microsoft and Amazon; we have sought to treat it as we treat every other party. Layer-A general market commentary: companies are named only as subjects of their own public transactions and disclosures; no security is named as a holding and no position is implied. Prepared under named human editorial control; AI tools were used in research and drafting under that supervision. Touchstone Asset Management Pte. Ltd. · Market Intelligence · MI-048, 27 September 2026. © 2026 Touchstone Asset Management. All rights reserved.
拓石资产管理 · TOUCHSTONE ASSET MANAGEMENT PTE. LTD. · CMS101936 · MARKET INTELLIGENCE MI-048 · 27 SEPTEMBER 2026 · insights@tscapital.sg
市场洞察 · 仅供合格及机构投资者
MAS 资本市场服务牌照编号 CMS101936 · 基金管理
2026年9月27日 · 市场洞察 · MI-048 · 公开版

谁掌握用户入口

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。

【立场】

  • 模型正在沦为可替换的供应商。各家前沿模型能力趋同,且大多对外出租;苹果新版Siri所用模型系与谷歌Gemini合作定制,微软Copilot则同时提供OpenAI与Anthropic两家模型供用户选择。掌握入口的公司,正在租用“大脑”。
  • 智能体本身同样在商品化。Meta旗下Muse、微软Autopilot均脱胎于同一开源项目OpenClaw,OpenAI亦已延揽其创始人。配方公开之后,竞争要素转向分发渠道、用户信任、支付环节与算力成本的承担能力。
  • 广告收入不会消失,而会改变形态并向入口方迁移。但截至目前,数据层面尚无任何迁移迹象,我们的基准情形是入口之争至少持续一年,而非短期内决出胜负。

一、竞争焦点:从最强模型转向用户入口

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。

用户入口 · 用户直接对话的个人助手 Meta Muse · 苹果 Siri AI · 微软 Copilot · OpenAI ChatGPT · 谷歌 Gemini · SpaceXAI Grok Bot 掌握客户、使用习惯与数据 向下调度 资金向上流动 大脑 · 模型层 能力趋同,可租用,可替换 自建模型 Meta · OpenAI · 谷歌 成本高,掌控全链条 租用模型 苹果 ← 与谷歌 Gemini 合作定制(供应方不对用户显示) 微软 ← OpenAI GPT + Anthropic Claude(用户可选) 亚马逊(卖家智能体)← Anthropic Claude 商户与服务 沃尔玛 · 百思买 · Gap · 丝芙兰 · Expedia · Shopify 商户 · Instacart:经由助手触达,而非经由搜索页面 结账与支付 Stripe · PayPal · Shop Pay;入口方亦可能自建钱包(Meta Pay 钱包系媒体报道,尚未官宣) 算力 芯片与数据中心:由运营助手的一方付费(Muse 的算力由 Meta 承担),无论谁胜出都有收入
自上而下看调度,自下而上看资金。助手发出指令,其下各层均转为供应商;资金反向流动,且更多留存于顶层。请留意模型层:已分别握有手机、办公套件与电商平台这三类入口的公司,恰恰选择租用模型,正因为客户本已在其手中。

二、入口处的三种变现方式

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。

抽成模式按助手完成的交易收取佣金
  • Meta:Muse对多数用户免费,扎克伯格在Connect大会上表示将通过“对交易收取小额费用”实现盈利(据现场报道)。
  • 抽成使Meta得以直接从交易本身获取收入,无需将Muse对话用于广告定向。
计量模式按任务计费
  • 微软:Copilot按席位收费的部分保留,真正执行任务的智能体按“积分”计费,每积分0.01美元(微软官方价目)。
  • 据合作伙伴对微软测算表的解读,单个任务可达数美元,重度用户的费用可能超过席位本身。计量模式使微软无需依赖新增席位即可实现增长。
订阅模式按月收费
  • OpenAI(ChatGPT付费档位)与SpaceXAI(Grok Bot团队版每席位每月120美元起)。
  • 模式最易理解,但若竞争对手免费提供同等服务并改以抽成变现,订阅模式最难防守。

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。

三、三大阵营:放行、封锁与手握终端

放行阵营新增获客渠道值得付费
  • 沃尔玛、百思买、Gap、丝芙兰、Wayfair、Instacart与Expedia已接入Muse;Shopify商户经由Shop Pay接入;支付端为Stripe、PayPal与Shop Pay。
  • 各方动机不同:对沃尔玛而言,是触达不从亚马逊起步的消费者;对Expedia与Shopify商户而言,是在向搜索引擎付费导流之外再添一条渠道。
封锁阵营守住用户与广告货架
  • 亚马逊于9月21日封锁Muse。
  • 转而自建智能体:其卖家助手“基于亚马逊Bedrock平台及Anthropic的Claude模型构建”,面向消费者则有Alexa+。
手握终端所有竞争对手的助手都运行在其系统之上
  • 苹果于9月14日推出Siri AI测试版,恰与Muse登顶其应用商店同周;借助苹果自有开发接口,可在包括WhatsApp、Outlook在内的iPhone应用间执行操作。
  • 谷歌掌握安卓系统并在其中内置Gemini,同时为苹果Siri提供模型支持。

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。

四、两类入口:消费端靠习惯,企业端靠授权

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。

五、中国市场已完整演示过一轮

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。

反方观点

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。

我们的研判

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。

六、研判回看:9月25日提出的六项判断

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。

检验要点及其对投资逻辑的含义

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。

什么情况下我们会调整判断

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。

七、对投资组合的含义

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:

  • 自有入口(聊天应用、手机、办公套件):地位最强,但需先行承担算力成本,直至抽成、计量或订阅模式能够覆盖。
  • 租用入口:无需自建即可触达用户,但须遵守入口方的规则。
  • 位于他人入口之后、销售可替代商品:风险敞口最大,正是可被助手绕开的中间商。
  • 向多个入口供应模型:可获得规模,但议价能力削弱,因为入口方可以更换供应商,或隐去供应商名称。
  • 算力提供方:无论谁胜出均有收入,是产业链中争议最小的一环。但并非高枕无忧:两头受益不等于任何价格都能接受,我们另有研究显示,芯片订单增速已跑在可接入电力之前。
通俗说明

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。

欢迎垂询。如希望探讨入口之争对具体投资组合的影响,或了解我们将如何随证据落地对上述判断逐一评分,欢迎来信 insights@tscapital.sg。

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。

关于本刊物。《拓石市场洞察》由拓石资产管理私人有限公司编制,该公司持有新加坡金融管理局颁发的基金管理牌照(CMS101936),面向合格投资者与机构投资者发布。英文版同期刊发,本中文版依据同一事实与研判独立撰写,并非英文版之翻译;两版如有出入,概以英文版本为准。 非投资建议。本文为针对市场与行业动态的一般性评论,不构成投资建议、推荐,亦不构成买卖任何证券的要约或要约邀请,且未考虑任何特定人士的投资目标、财务状况或具体需求。文中提及的公司均作为公开事件的当事方出现,提及公司名称不代表对其证券的任何观点。任何投资决定均应在与您的顾问进行适当性讨论之后作出。 来源与局限。本文依据苹果、亚马逊、Meta、微软(Copilot积分指南)及OpenAI的公司公告与产品页面,各公司2026年第二季度业绩,Alex Heath发布的微软首席执行官专访,路透社、《The Information》、TechCrunch、GeekWire、彭博、《财富》、MacStories等媒体报道,市场数据截至2026年9月25日(周五)收盘。下载量为第三方估算,相关公司未披露使用数据。有关OpenAI产品计划及9月25日Muse安全事件的内容均源自单一原始信源,文中已注明“据报道”。“无护城河的AI”观点出自Paul Kedrosky;第三部分风险敞口框架的前半部分受Oguz Erkan草图启发;分析框架、推理与结论均为本机构自行构建。股价变动仅描述市场反应,不构成对任何证券的观点。市场水平随时变动,引用前请自行核实。 利益披露。本机构在研究与撰写中使用包括Anthropic旗下Claude在内的人工智能工具;Anthropic在本文中作为微软与亚马逊的模型供应商出现,我们已力求对其与其他各方一视同仁。 层级说明(Layer-A 一般市场评论):文中提及的公司,均仅作为其自身公开交易与公开披露的当事方出现;未提及任何持仓标的,亦不隐含任何头寸。本刊物在具名人员编辑控制下编制,研究与撰写过程中使用了人工智能工具,并在该监督之下进行。拓石资产管理私人有限公司 · 市场洞察 · MI-048,2026年9月27日。© 2026 拓石资产管理,版权所有。
拓石资产管理 · TOUCHSTONE ASSET MANAGEMENT PTE. LTD. · CMS101936 · 市场洞察 MI-048 · 2026年9月27日 · insights@tscapital.sg