Muse芯片廠暴漲封面

Muse讓芯片廠暴漲、電商封門,而騰訊卻關停智能體?Muse Made Chip Makers Soar, E-Commerce Blocked It — While Tencent Shut Down Its Agents

【鄭哥點評】【ZHENG GE REVIEW】

鄭哥我做外銷26年,見過太多「有人歡喜有人愁」嘅事。

但係今次呢單嘢,有趣在於——

同一個Muse,令到芯片廠商笑到見牙唔見眼;電商巨頭立即拉閘話「你唔准入嚟」;而中國嘅大模型廠集體關停智能體功能——三個結局,三個睇法,但係指向同一個問題:

AI智能體,到底係工具,定係威脅?

第一幕:Muse令芯片廠暴漲——但呢個錢,唔係個個賺得到

Meta旗下AI智能體Muse,9月8日上線,12日下載量280萬次,登頂美區iOS同Google Play免費榜。Meta股價單日暴漲11.43%,市值增加約2070億美元——呢個數字,約等於一個Netflix嘅市值。

國金證券測算:若Muse達到1億用戶,硬件投入需要約300億至500億美元,約158萬顆AMD EPYC服務器芯片,對應電力消耗約1.6吉瓦。

然後產業鏈連鎖反應:

  • CPU同GPU配比由過去1:4-1:8,向1:1-1:2切換——CPU需求爆發
  • 英特爾、AMD產品提價
  • 英偉達、Arm入局服務器CPU賽道
  • FCBGA型ABFIC載板量價齊升

芯片廠笑到見牙唔見眼,股價話升就升。但係我問一句:呢舊錢,係邊個嘆?

——係有能力第一時間擴產能嘅大廠。中小廠?訂單排到18個月之後,供唔上。

第二幕:電商封門——「你唔准入嚟」

就在Muse下載量爆發嘅同一日——亞馬遜封殺咗Muse。

9月20日,亞馬遜正式阻止Muse代用戶喺佢哋平台購物,理由:未經授權、不主動披露AI身份、帳戶憑證抓取與數據安全隱患。

亞馬遜過去一年,已經系統性攔截外部AI代理:起訴Perplexity嘅Comet瀏覽器;屏蔽Google同OpenAI購物代理;Anthropic亦喺2026年4月更新服務條款,全面封殺第三方AI工具通過OAuth接入其模型。

亞馬遜電商封殺AI智能體
場景:亞馬遜電商平台封殺AI智能體——話語權之爭Scene: Amazon blocks AI agents — the battle for platform control
圖片由 AI輔助創作(Z-Image-Turbo)

平台正在各自築牆。但係深層次原因,唔只係安全——係話語權。

當一個第三方AI可以代表用戶喺你平台購物,平台就失去咗對用户決策路徑嘅控制。廣告投放邏輯、搜索排名邏輯,用户行為數據——全部可以被繞過。呢個係電商平台最唔想見到嘅嘢。

第三幕:騰訊關停智能體——監管逼出嚟嘅動作

中國呢邊,劇情完全唔同。

2026年6月30日,騰訊元寶全面下線自建智能體入口。豆包、千問宣佈智能體功能7月15日全部下線。

監管原因:情感類擬人交互合規問題——用戶自建智能體(UGC)野蠻生長,平台無法做到無死角事前篩查。

騰訊關停AI智能體界面
場景:騰訊關停AI智能體——監管合規壓力下的選擇Scene: Tencent shuts down AI agents — forced by regulation
圖片由 AI輔助創作(Z-Image-Turbo)

券商分析:「通用大模型主產品底層架構難以适配新規海量UGC場景,若為保留功能重構全鏈路風控體系,改造週期長、資金投入巨大。對比持續暴露合規風險嘅代價,關停主站入口、拆分至獨立載體,係綜合成本最低、風險可控嘅整改方案。」

騰訊關停智能體,唔係因為Muse威脅到佢,而係監管環境逼住佢切換賽道。

第四幕:疼點——AI智能體嘅商業化,到底有幾難?

呢個就係我話「疼點」嘅核心。

Muse令到芯片廠暴漲,但係:

如果電商平台集體話「你唔准入嚟」,Muse變現路徑就被攔腰截斷。

亞馬遜封禁只係第一槍。想像一下:若Google、Meta、淘寶、京東全部話「未授權智能體唔准入」,Muse引以為傲嘅「代購物」功能就變成空中樓閣。

Meta正在嘗試嘅解法:構建「合作商家池」——沃爾瑪、百思買、Gap、Sephora、Wayfair、Expedia、Instacart等宣佈與Muse整合。但係呢個解法有個前提:唔包括亞馬遜。

AI智能體商業化疼點
場景:AI智能體商業化疼點——企業級任務自動化Scene: AI agent monetization pain points — enterprise task automation
圖片由 AI輔助創作(Z-Image-Turbo)

反過來睇騰訊——監管逼佢哋走向企業級任務型智能體:工業質檢、金融數據分析、政務文書整理、企業私有知識庫。呢個係另一條路:放棄C端情感類智能體,集中做企業合規工具。

一句話總結

AI智能體現在面臨嘅局面:算力工廠喺度狂歡,電商平台喺度築牆,監管機構喺度收網。三方力量夾擊之下,智能體嘅商業化路徑仲喺度摸索——但係機會,一定係屬於可以協調好呢三方關係嘅玩家。
鄭哥 Hany

關於作者About the Author

鄭哥,90年代大學畢業,26年橫跨電子,家電、服裝、珠寶、教育、AI算力多個行業。做過中學教師、翻譯、外贸,現在搞七善門科技和星辰算力。口頭禪:「點解唔得?」Hany, university grad from the 90s, 26 years across electronics, appliances, fashion, jewelry, education, and AI compute. Former teacher, translator, trader. Now running Qishanmen Tech and Star Compute. Catchphrase: "Why not?"

After 26 years in export, I've seen too many "some celebrate, some grieve" situations.

But this time, what's interesting is —

The same Muse made chip manufacturers laugh all the way to the bank; e-commerce giants immediately slammed the door saying "you're not welcome"; and Chinese LLM giants collectively shut down agent features — three outcomes, three perspectives, pointing to the same question:

Is an AI agent a tool, or a threat?

Act 1: Muse Made Chip Makers Soar — But This Money Isn't for Everyone

Meta's AI agent Muse, launched September 8, hit 2.8 million downloads by the 12th, topping both iOS and Google Play free charts in the US. Meta stock surged 11.43% in a single day, adding approximately $207 billion in market cap — roughly equal to one Netflix.

Guotai Junan Securities estimates: if Muse reaches 100 million users, hardware investment needs ~$30–50 billion, approximately 1.58 million AMD EPYC server chips, corresponding to ~1.6 gigawatts of power consumption.

Then the supply chain chain reaction:

  • CPU-to-GPU ratio shifting from 1:4-1:8 to 1:1-1:2 — CPU demand exploding
  • Intel, AMD products raising prices
  • NVIDIA, Arm entering server CPU赛道
  • FCBGA ABFIC substrate prices and volumes both rising

Chip makers are laughing all the way to the bank. But I ask: who gets to enjoy this money?

— Those with the capacity to scale production first. Small and medium factories? Orders booked 18 months out, can't keep up.

Act 2: E-Commerce Closes Its Doors — "You're Not Welcome Here"

On the same day Muse's downloads exploded — Amazon blocked it.

September 20: Amazon officially prevented Muse from purchasing on their platform on behalf of users. Reason: unauthorized, failure to proactively disclose AI identity, account credential scraping, and data security concerns.

Over the past year, Amazon has systematically blocked external AI agents: sued Perplexity's Comet browser; blocked Google and OpenAI shopping agents; Anthropic updated its terms of service in April 2026, comprehensively blocking third-party AI tools from accessing its models via OAuth.

Amazon blocks AI agents
場景:亞馬遜封殺AI智能體Scene: Amazon blocks AI agents — the battle for platform control
Image AI-assisted (Z-Image-Turbo)

Platforms are building their own walls. But the deeper reason isn't just security — it's话语权.

When a third-party AI can make purchases on behalf of users on your platform, the platform loses control over the user's decision path. Ad targeting logic, search ranking logic, user behavior data — all can be bypassed. This is the last thing e-commerce platforms want to see.

Act 3: Tencent Shuts Down Agents — Forced by Regulation

On the Chinese side, the plot is completely different.

June 30, 2026: Tencent Yuanbao comprehensively removed its self-built agent entry point. Doubao and Qianwen announced agent features would be fully taken offline on July 15.

Regulatory reason: emotional para-social interaction compliance issues — user-generated agents (UGC) grew wildly, and platforms couldn't achieve comprehensive pre-screening without blind spots.

Tencent shuts down AI agents
場景:騰訊關停AI智能體Scene: Tencent shuts down AI agents — forced by regulation
Image AI-assisted (Z-Image-Turbo)

Broker analysis: "The underlying architecture of general LLM main products struggles to adapt to new regulations' massive UGC scenarios. Restructuring the entire risk control system to retain features would require long development cycles and enormous capital investment. Compared to the cost of continuously exposing compliance risks, shutting down the main station entry and splitting to independent carriers is the solution with lowest comprehensive cost and controllable risk."

Tencent shut down agents not because Muse threatened it, but because the regulatory environment forced it to switch tracks.

Act 4: The Pain Point — How Hard Is AI Agent Commercialization Really?

This is the core of what I call the "pain point."

Muse made chip makers soar, but:

If e-commerce platforms collectively say "you're not welcome," Muse's monetization path gets cut off at the waist.

Amazon's ban is just the first shot. Imagine: if Google, Meta, Taobao, JD.com all say "no unauthorized agents allowed," Muse's proud "shop on your behalf" feature becomes a castle in the air.

Meta's attempted solution: building a "partner merchant pool" — Walmart, Best Buy, Gap, Sephora, Wayfair, Expedia, Instacart and others announced integration with Muse. But this solution has one prerequisite: Amazon is not included.

AI agent monetization enterprise automation
場景:AI智能體商業化——企業級任務自動化Scene: AI agent monetization — enterprise task automation
Image AI-assisted (Z-Image-Turbo)

Looking at it from Tencent's side — regulation forced them toward enterprise task-oriented agents: industrial quality inspection, financial data analysis, government document processing, enterprise private knowledge bases. This is another path: abandon C-end emotional agents, focus on enterprise compliance tools.

One-Line Summary

AI agents face this reality: compute factories are celebrating, e-commerce platforms are building walls, regulators are tightening the net. Under three-way pressure, agents' monetization path is still being explored — but the opportunity belongs to whoever can coordinate these three parties.
鄭哥 Hany

關於作者About the Author

鄭哥,90年代大學畢業,26年橫跨電子,家電、服裝、珠寶、教育、AI算力多個行業。做過中學教師、翻譯、外贸,現在搞七善門科技和星辰算力。口頭禪:「點解唔得?」Hany, university grad from the 90s, 26 years across electronics, appliances, fashion, jewelry, education, and AI compute. Former teacher, translator, trader. Now running Qishanmen Tech and Star Compute. Catchphrase: "Why not?"