[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-anthropic-ai-consulting-venture-wall-street-zh":3,"tags-anthropic-ai-consulting-venture-wall-street-zh":37,"related-lang-anthropic-ai-consulting-venture-wall-street-zh":48,"related-posts-anthropic-ai-consulting-venture-wall-street-zh":52,"series-industry-92e4d852-2303-4b20-86e3-708a12243129":89},{"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":33,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":23},"92e4d852-2303-4b20-86e3-708a12243129","Anthropic 砸進華爾街顧問戰","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 參與一間 AI 服務新公司，想把企業導入 AI 的工作，從顧問案變成可交付的服務。\u003C\u002Fp>\u003Cp>這案子不是小打小鬧。Anthropic 說，這個新 v\u003Ca href=\"\u002Fnews\u002Fagentic-ai-moving-past-rag-knowledge-layer-zh\">ent\u003C\u002Fa>ure 有約 \u003Cstrong>15 億美元\u003C\u002Fstrong> 的 committed capital。它鎖定中型企業，直接去碰傳統顧問公司最愛收費的 AI 導入生意。\u003C\u002Fp>\u003Cp>講白了，就是把 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude\u003C\u002Fa>、工程支援，還有落地能力包在一起賣。對很多企業來說，真正卡住的不是模型，而是資料、系統整合，還有誰來把東西真的做完。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>數字\u003C\u002Fth>\u003Cth>意義\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>承諾資本\u003C\u002Ftd>\u003Ctd>15 億美元\u003C\u002Ftd>\u003Ctd>代表這個 venture 一開始就有大資金\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>服務對軟體支出比\u003C\u002Ftd>\u003Ctd>6:1\u003C\u002Ftd>\u003Ctd>說明顧問市場夠大，也夠肥\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>AI 影響 PE 估值比例\u003C\u002Ftd>\u003Ctd>85%\u003C\u002Ftd>\u003Ctd>顯示買方已把 AI 能力算進價格\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>目標客群\u003C\u002Ftd>\u003Ctd>中型企業\u003C\u002Ftd>\u003Ctd>這群公司常缺內部 AI 團隊\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>Anthropic 為什麼要打顧問戰\u003C\u002Fh2>\u003Cp>顧問產業的老問題很明顯。它很會賣方法論，卻常卡在執行。企業做 AI，不是開個 workshop 就結束。你還要接資料管線、修權限、串內部系統，最後還要有人盯著上線。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778058663812-v2uj.png\" alt=\"Anthropic 砸進華爾街顧問戰\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Anthropic 這次的打法，等於直接改變收費邏輯。它不是只賣一個 \u003Ca href=\"\u002Fnews\u002Fwhy-single-routing-api-wins-model-serving-zh\">API\u003C\u002Fa>，也不是只賣一個模型訂閱。它想把模型、工程團隊、交付流程一起打包，讓客戶買到的是結果，不是簡報。\u003C\u002Fp>\u003Cp>Fortune 提到，市場上企業對服務的支出，常是軟體的 6 倍。這數字很刺眼。因為它代表最值錢的地方，還是在「幫你做完」這件事，而不是「給你工具」而已。\u003C\u002Fp>\u003Cul>\u003Cli>Anthropic 把模型和駐場工程支援綁在一起。\u003C\u002Fli>\u003Cli>這個 venture 是獨立公司，不是單純賣顧問案。\u003C\u002Fli>\u003Cli>主要金主包含 \u003Ca href=\"https:\u002F\u002Fwww.blackstone.com\" target=\"_blank\" rel=\"noopener\">Blackstone\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.hf.com\" target=\"_blank\" rel=\"noopener\">Hellman & Friedman\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.goldmansachs.com\" target=\"_blank\" rel=\"noopener\">Goldman Sachs\u003C\u002Fa>。\u003C\u002Fli>\u003Cli>其他支援者還有 \u003Ca href=\"https:\u002F\u002Fwww.generalatlantic.com\" target=\"_blank\" rel=\"noopener\">General Atlantic\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.leonardgreen.com\" target=\"_blank\" rel=\"noopener\">Leonard Green\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.apollo.com\" target=\"_blank\" rel=\"noopener\">Apollo Global Management\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.gic.com.sg\" target=\"_blank\" rel=\"noopener\">GIC\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.sequoiacap.com\" target=\"_blank\" rel=\"noopener\">Sequoia Capital\u003C\u002Fa>。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>華爾街買的不是模型，是落地\u003C\u002Fh2>\u003Cp>私募股權基金最在意的，通常不是技術名詞，而是能不能變成報表上的數字。對 \u003Ca href=\"https:\u002F\u002Fwww.blackstone.com\" target=\"_blank\" rel=\"noopener\">Blackstone\u003C\u002Fa> 這種投資人來說，AI 如果能更快進到財務、預測、稽核和營運流程，對估值和退出都很有感。\u003C\u002Fp>\u003Cp>Blackstone 的 President and COO Jon Gray 直接講得很白。他說，企業導入 AI 最大的瓶頸之一，是缺少能快速實作 frontier AI 系統的工程師。這句話很重要，因為它點出市場痛點：多數公司不是沒預算，是沒人會做。\u003C\u002Fp>\u003Cblockquote>“One of the most significant bottlenecks to enterprise AI adoption” is the shortage of engineers who can implement frontier AI systems quickly, said Blackstone President and COO Jon Gray.\u003C\u002Fblockquote>\u003Cp>\u003Ca href=\"https:\u002F\u002Ffortune.com\u002F2025\u002F11\u002F\" target=\"_blank\" rel=\"noopener\">Fortune\u003C\u002Fa> 在 2025 年 11 月的報導提到，85% 的買方已把 AI-enabled finance 能力算進公司估值。這代表 AI 不再只是加分項。它已經變成資產定價的一部分。\u003C\u002Fp>\u003Cp>Anthropic CFO Krishna Rao 的說法也很直白。他把這個 ven\u003Ca href=\"\u002Fnews\u002Fwhy-ai-coding-agents-need-an-architecture-compiler-zh\">ture\u003C\u002Fa> 描述成對需求的回應。Goldman Sachs 的 Marc Nachmann 則提到，目標是讓買不起專屬 forward-deployed engineers 的公司，也能用到類似能力。這句話很有意思，因為它其實是在講服務民主化，但做法很商業。\u003C\u002Fp>\u003Ch2>這和傳統顧問差在哪\u003C\u002Fh2>\u003Cp>傳統顧問的套路，大家都很熟。先賣策略，再賣人力，再賣導入，最後再收一段維運費。問題是，AI 專案最難的地方，往往不是策略，而是把東西接到真實世界。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778058662043-1ria.png\" alt=\"Anthropic 砸進華爾街顧問戰\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Anthropic 這次像是在把整條鏈壓縮。它想讓模型、流程設計、工程落地放在同一個交付框架裡。這樣一來，客戶不必自己找三組供應商，也不用自己扛整個技術整合風險。\u003C\u002Fp>\u003Cp>如果這模式跑得動，價值重心就會變。以前是賣建議。現在可能變成賣輸出。這對靠工時收費的顧問公司，壓力會很大。\u003C\u002Fp>\u003Cul>\u003Cli>傳統顧問先賣人，再賣方法。\u003C\u002Fli>\u003Cli>Anthropic 想直接賣可交付的 AI 成果。\u003C\u002Fli>\u003Cli>私募股權買家要的是更快導入速度。\u003C\u002Fli>\u003Cli>投資組合公司可用外部夥伴補足內部缺口。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這套路也有點像 \u003Ca href=\"https:\u002F\u002Fwww.palantir.com\" target=\"_blank\" rel=\"noopener\">Palantir\u003C\u002Fa> 的 forward deployment。差別在於，Anthropic 還握著模型層。也就是說，它不只碰交付，還碰底層能力。這會讓它在議價和控制力上更強。\u003C\u002Fp>\u003Cp>競爭面也很直接。文中提到 \u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 也可能跟 \u003Ca href=\"https:\u002F\u002Fwww.tpg.com\" target=\"_blank\" rel=\"noopener\">TPG\u003C\u002Fa>、\u003Ca href=\"https:\u002F\u002Fwww.baincapital.com\" target=\"_blank\" rel=\"noopener\">Bain Capital\u003C\u002Fa> 做類似安排。若這條路真的擴大，之後比的就不是誰的簡報漂亮，而是誰能更快交付可用成果。\u003C\u002Fp>\u003Ch2>對企業買家和顧問業的影響\u003C\u002Fh2>\u003Cp>對企業買家來說，這種模式很有吸引力。你拿到的不只是模型 API，而是模型、工程、交付一起來。對很多中型企業來說，這比自己招一整隊 AI 人才便宜，也更快。\u003C\u002Fp>\u003Cp>但對顧問公司來說，壓力就很真實了。最容易被取代的，通常是那些模板化的 AI transformation 案子。真正還有價值的，會是流程重整、變革管理、法規處理，還有產業知識很重的工作。\u003C\u002Fp>\u003Cp>我覺得接下來要看兩件事。第一，Anthropic 能不能在中型企業先做出案例。第二，它能不能往監管更重的產業走，像醫療、製造、金融。那些地方更難做，但也更願意為可用的 AI 付錢。\u003C\u002Fp>\u003Cp>如果這模式跑通，AI 收入的樣子會更像服務，不像純軟體訂閱。這對台灣的軟體團隊也有提醒。只會賣工具不夠了。你還得想清楚，怎麼把導入、資料處理、維運一起包進去。\u003C\u002Fp>\u003Ch2>這波其實是 AI 商業模式在改寫\u003C\u002Fh2>\u003Cp>這件事的重點，不只是 Anthropic 又多了一條收入線。更重要的是，它把 AI 公司和服務公司之間的界線弄模糊了。以前大家以為模型公司就是賣 \u003Ca href=\"\u002Ftag\u002Ftoken\">Token\u003C\u002Fa>。現在看起來，真正值錢的，可能是模型加交付的整包方案。\u003C\u002Fp>\u003Cp>這也解釋了為什麼華爾街會進場。Blackstone、Goldman Sachs 這些名字出現，不只是為了錢。它們也在押一個判斷：\u003Ca href=\"\u002Ftag\u002F企業-ai\">企業 AI\u003C\u002Fa> 的下一段成長，不會只靠 API 用量，而是靠誰能把系統真的做進公司流程。\u003C\u002Fp>\u003Cp>對開發者來說，這代表一個現實。未來接案或做產品，不能只懂 \u003Ca href=\"\u002Ftag\u002Fllm\">LLM\u003C\u002Fa>。你還要懂資料、權限、部署、監控、成本控制。說白了，會寫 Prompt 不夠，會把系統上線才值錢。\u003C\u002Fp>\u003Ch2>接下來可以看什麼\u003C\u002Fh2>\u003Cp>我會盯兩個指標。第一，這個 venture 有沒有公開更多客戶案例。第二，它會不會把模式複製到更多產業。只要其中一個跑通，顧問業和模型公司的界線就會更模糊。\u003C\u002Fp>\u003Cp>如果你在做\u003Ca href=\"\u002Ftag\u002F企業軟體\">企業軟體\u003C\u002Fa>或 AI 導入，現在就該想一件事：你的產品是工具，還是交付？這兩者差很多。前者容易被比較價格，後者才有機會綁住實際成果。\u003C\u002Fp>","Anthropic 參與一間 AI 顧問新公司，聯手 Blackstone、H&F、Goldman Sachs，想把企業 AI 導入從顧問案變成可交付的服務。","fortune.com","https:\u002F\u002Ffortune.com\u002F2026\u002F05\u002F04\u002Fanthropic-claude-consulting-industry-joint-venture-blackstone-goldman-sachs\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778058663812-v2uj.png",[13,14,15,16,17,18,19,20],"Anthropic","Claude","AI 顧問","Blackstone","Goldman Sachs","企業 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基礎設施才是真正的護城河","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778875851377-xatg.png","2026-05-15T20:10:37.227561+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"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":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"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":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"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":78,"slug":79,"title":80,"cover_image":81,"image_url":81,"created_at":82,"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":84,"slug":85,"title":86,"cover_image":87,"image_url":87,"created_at":88,"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",[90,95,100,105,110,115,120,125,130,135],{"id":91,"slug":92,"title":93,"created_at":94},"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":96,"slug":97,"title":98,"created_at":99},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 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