[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-google-anthropic-enterprise-ai-trust-zh":3,"tags-google-anthropic-enterprise-ai-trust-zh":33,"related-lang-google-anthropic-enterprise-ai-trust-zh":44,"related-posts-google-anthropic-enterprise-ai-trust-zh":48,"series-industry-7fad4cf3-bf91-4da2-9983-edebd66612f5":85},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":21,"translated_content":10,"views":22,"is_premium":23,"created_at":24,"updated_at":24,"cover_image":11,"published_at":25,"rewrite_status":26,"rewrite_error":10,"rewritten_from_id":27,"slug":28,"category":29,"related_article_id":30,"status":31,"google_indexed_at":32,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":23},"7fad4cf3-bf91-4da2-9983-edebd66612f5","Google 與 Anthropic 押注企業 AI 信任","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fgoogle\">Google\u003C\u002Fa> 和 \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 正用信任與模型選擇，搶企業 AI 合約。\u003C\u002Fp>\u003Cp>說真的，這場仗很直白。\u003Ca href=\"https:\u002F\u002Fcloud.google.com\u002Fnext\" target=\"_blank\" rel=\"noopener\">Google Cloud Next 2026\u003C\u002Fa> 上，Anthropic 公布 annu\u003Ca href=\"\u002Fnews\u002Fcalligo-raises-12-15-million-risc-v-chip-push-zh\">al\u003C\u002Fa> revenue run rate 從 2025 年底的 90 億美元，衝到 2026 年初的 300 億美元以上。\u003C\u002Fp>\u003Cp>這不是單靠 benchmark 就能吹出來的數字。企業會買單，通常是因為系統夠穩，資料夠安全，還能讓團隊自由選模型。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>指標\u003C\u002Fth>\u003Cth>數值\u003C\u002Fth>\u003Cth>意義\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Anthropic run rate，2025 年底\u003C\u002Ftd>\u003Ctd>90 億美元\u003C\u002Ftd>\u003Ctd>成長前的基準\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Anthropic run rate，2026 年初\u003C\u002Ftd>\u003Ctd>300 億美元以上\u003C\u002Ftd>\u003Ctd>顯示企業需求快速放量\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Google Cloud 生態投入\u003C\u002Ftd>\u003Ctd>7.5 億美元\u003C\u002Ftd>\u003Ctd>用在技能、工具、工程支援\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Google Cloud partner 生態\u003C\u002Ftd>\u003Ctd>12 萬名成員\u003C\u002Ftd>\u003Ctd>代表企業通路很大\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>theCUBE 觀眾\u003C\u002Ftd>\u003Ctd>1500 萬以上\u003C\u002Ftd>\u003Ctd>代表這題被市場高度關注\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>信任，現在就是產品的一部分\u003C\u002Fh2>\u003Cp>企業買 AI，早就不是只看誰最會答題。現在更像在挑一個能長期合作的系統，重點是風險低、導入快、後續好維護。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777680656240-ixqk.png\" alt=\"Google 與 Anthropic 押注企業 AI 信任\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Google \u003Ca href=\"\u002Fnews\u002Fcloudflare-ai-agents-create-accounts-buy-domains-zh\">Clou\u003C\u002Fa>d 北美 partner ecosystem 與 channels 副總裁 Jim Anderson 直接說，他們要提供的是「a full AI fi\u003Ca href=\"\u002Fnews\u002Fbanana-pi-bpi-sm10-risc-v-ai-sbc-zh\">nan\u003C\u002Fa>cial stack」，還要幫客戶「de-risk a customer’s journey for AI」。講白了，就是把導入 AI 這件事變得沒那麼可怕。\u003C\u002Fp>\u003Cp>他也提到，Google 會同時串第三方與第一方夥伴，讓客戶能在不同情境下選對技術。這句話很重要，因為企業現在真的不想被單一模型綁死。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fdeepmind.google\u002Ftechnologies\u002Fgemini\u002F\" target=\"_blank\" rel=\"noopener\">Gemini\u003C\u002Fa> 適合某些工作負載。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude\u003C\u002Fa> 適合另一批應用。\u003C\u002Fli>\u003Cli>企業想要的是同一個雲端關係。\u003C\u002Fli>\u003Cli>安全、治理、部署速度都很重要。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>營收數字，直接暴露需求在哪裡\u003C\u002Fh2>\u003Cp>Anthropic cloud partnerships 負責人 Dan Rosenthal 的說法很硬。他說公司 run rate 從 90 億美元，三個月內衝到 300 億美元以上。這代表企業需求真的不是在試水溫，而是在下預算。\u003C\u002Fp>\u003Cblockquote>“We’ve gone from a nine billion run rate to north of 30 billion here in three months since the start of the year.” — Dan Rosenthal, head of cloud partnerships at Anthropic\u003C\u002Fblockquote>\u003Cp>Rosenthal 也把成長歸因於 \u003Ca href=\"\u002Ftag\u002Fgoogle-cloud\">Google Cloud\u003C\u002Fa> 的分發能力和開發工具。他說 Anthropic 沒辦法靠自己做到這個規模。這句話很誠實，也很現實。\u003C\u002Fp>\u003Cp>Google Cloud 還宣布投入 7.5 億美元，支援 12 萬名 partner 生態成員。這筆錢不是拿去炒話題，而是砸在技能、工具和 forward-deployed engineering 上。意思很清楚：瓶頸不在模型，而在落地。\u003C\u002Fp>\u003Cul>\u003Cli>7.5 億美元用來強化 partner 能量。\u003C\u002Fli>\u003Cli>12 萬名成員代表分發通路很廣。\u003C\u002Fli>\u003Cli>Anthropic 從 90 億美元跳到 300 億美元以上。\u003C\u002Fli>\u003Cli>Shopify 和 Palo Alto Networks 已經有實際案例。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>客戶案例，比廣告詞更有說服力\u003C\u002Fh2>\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.shopify.com\" target=\"_blank\" rel=\"noopener\">Shopify\u003C\u002Fa> 把 AI-powered Sidekick agent 建在 Google Cloud 和 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> 上。\u003Ca href=\"https:\u002F\u002Fwww.paloaltonetworks.com\" target=\"_blank\" rel=\"noopener\">Palo Alto Networks\u003C\u002Fa> 則說，用 \u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa> Enterprise 後，engineering velocity 提升了 20% 到 30%。這種數字比空話有用多了。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777680645911-dieo.png\" alt=\"Google 與 Anthropic 押注企業 AI 信任\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>你會發現，Google 和 Anthropic 的分工很清楚。Google 講基礎設施、分發和 partner 規模。Anthropic 講安全、模型選擇和長期信心。\u003C\u002Fp>\u003Cp>合在一起，這套說法其實很務實。企業不想每換一次模型就重寫流程。他們要的是一個能測試、能部署、能治理的地方。\u003C\u002Fp>\u003Cul>\u003Cli>Shopify 已經把 Claude 用進實際產品。\u003C\u002Fli>\u003Cli>Palo Alto Networks 看到了 20% 到 30% 的效率提升。\u003C\u002Fli>\u003Cli>企業要的是穩定的工作流，不是每週換口號。\u003C\u002Fli>\u003Cli>治理和合規現在跟模型能力一樣重要。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>這場競爭，正在改寫企業 AI 的買法\u003C\u002Fh2>\u003Cp>我覺得這件事最有意思的地方，不是 Anthropic 的數字很大，而是買家心態變了。現在大家問的不是「哪個模型最聰明」，而是「哪個 stack 能讓我們快一點出貨，還不會失控」。\u003C\u002Fp>\u003Cp>這也解釋了為什麼 trust 會變成賣點。當企業把 AI 拉進 production，安全、資料邊界、權限控管、審計紀錄，全部都會浮上來。模型再強，流程亂掉還是沒用。\u003C\u002Fp>\u003Cp>Google 和 Anthropic 的組合，剛好踩在這個需求上。前者有雲端通路和基礎設施，後者有模型口碑和安全敘事。這種搭配，比單純拼參數更像企業會買的東西。\u003C\u002Fp>\u003Ch2>放到整個產業看，這只是第一輪\u003C\u002Fh2>\u003Cp>企業 AI 的下一階段，不會只看誰的 demo 比較炫。它會看誰能把模型、雲端、治理、支援一起包好，讓 IT 團隊少掉很多麻煩。\u003C\u002Fp>\u003Cp>這也是為什麼 Google 願意砸 7.5 億美元在 partner 生態。因為真正的戰場，已經從模型訓練轉到導入、整合和維運。這些事情很土，但很賺錢。\u003C\u002Fp>\u003Cp>如果你是開發者，這個訊號很直接。接下來最值錢的，不只是會呼叫 API，而是會把 AI 接進既有系統，還能把權限、成本和資料流管好。\u003C\u002Fp>\u003Cp>我會繼續盯兩件事：Anthropic 的企業續約率，還有 Google Cloud 能不能把 partner 生態真的變成成交機器。這兩個數字，會比任何宣傳稿更誠實。\u003C\u002Fp>","Google 與 Anthropic 把企業 AI 成長押在信任與選擇上，Anthropic 的 annual revenue run rate 也從 90 億美元跳到 300 億美元以上。","siliconangle.com","https:\u002F\u002Fsiliconangle.com\u002F2026\u002F04\u002F28\u002Fgoogle-anthropic-partnership-stakes-claim-trust-ai-googlecloudnext\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777680656240-ixqk.png",[13,14,15,16,17,18,19,20],"Google Cloud","Anthropic","企業 AI","Claude","Gemini","trust","run rate","Google Cloud Next 2026","zh",0,false,"2026-05-02T00:10:30.735932+00:00","2026-05-02T00:10:30.513+00:00","done","13450255-f569-4ec8-9a57-d8839190f742","google-anthropic-enterprise-ai-trust-zh","industry","8ec19615-2981-4c10-bcf0-3e1f90d6444a","published","2026-05-02T09:00:07.136+00:00",[34,36,38,40,42],{"name":15,"slug":35},"企業-ai",{"name":14,"slug":37},"anthropic",{"name":16,"slug":39},"claude",{"name":13,"slug":41},"google-cloud",{"name":17,"slug":43},"gemini",{"id":30,"slug":45,"title":46,"language":47},"google-anthropic-enterprise-ai-trust-en","Google and Anthropic bet enterprise AI on trust","en",[49,55,61,67,73,79],{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":29},"cd078ce9-0a92-485a-b428-2f5523250a19","circles-agent-stack-targets-machine-speed-payments-zh","Circle 推出 Agent Stack，瞄準機器速度支付","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871663628-uyk5.png","2026-05-15T19:00:44.16849+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":29},"96d96399-f674-4269-997a-cddfc34291a0","iren-signs-nvidia-ai-infrastructure-pact-zh","IREN 綁上 Nvidia AI 基建","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871057561-bukp.png","2026-05-15T18:50:37.57206+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":29},"de12a36e-52f9-4bca-8deb-a41cf974ffd9","circle-agent-stack-ai-payments-zh","Circle 推出 Agent Stack 做 AI 付款","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778870462187-t9xv.png","2026-05-15T18:40:30.945394+00:00",{"id":68,"slug":69,"title":70,"cover_image":71,"image_url":71,"created_at":72,"category":29},"e6379f8a-3305-4862-bd15-1192d3247841","why-nebius-ai-pivot-is-more-real-than-hype-zh","為什麼 Nebius 的 AI 轉型比炒作更真實","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778823044520-9mfz.png","2026-05-15T05:30:24.978992+00:00",{"id":74,"slug":75,"title":76,"cover_image":77,"image_url":77,"created_at":78,"category":29},"66c4e357-d84d-43ef-a2e7-120c4609e98e","nvidia-backs-corning-factories-with-billions-zh","Nvidia 出資 Corning 工廠擴產","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778822450270-trdb.png","2026-05-15T05:20:27.701475+00:00",{"id":80,"slug":81,"title":82,"cover_image":83,"image_url":83,"created_at":84,"category":29},"31d8109c-8b0b-46e2-86bc-d274a03269d1","why-anthropic-gates-foundation-ai-public-goods-zh","為什麼 Anthropic 和 Gates Foundation 應該投資 A…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778796636474-u508.png","2026-05-14T22:10:21.138177+00:00",[86,91,96,101,106,111,116,121,126,131],{"id":87,"slug":88,"title":89,"created_at":90},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":92,"slug":93,"title":94,"created_at":95},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":97,"slug":98,"title":99,"created_at":100},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":102,"slug":103,"title":104,"created_at":105},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":107,"slug":108,"title":109,"created_at":110},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":112,"slug":113,"title":114,"created_at":115},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":117,"slug":118,"title":119,"created_at":120},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":122,"slug":123,"title":124,"created_at":125},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":127,"slug":128,"title":129,"created_at":130},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":132,"slug":133,"title":134,"created_at":135},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]