[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-ai-infrastructure-spending-durable-through-2027-zh":3,"article-related-ai-infrastructure-spending-durable-through-2027-zh":30,"series-industry-c6402bba-5e2e-4d0e-a008-b45c0fa2b892":74},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":29},"c6402bba-5e2e-4d0e-a008-b45c0fa2b892","ai-infrastructure-spending-durable-through-2027-zh","AI 基礎設施支出到 2027 年仍是該持有的交易","\u003Cp data-speakable=\"summary\">2027 年前，\u003Ca href=\"\u002Ftag\u002Fai-\">AI 基礎設施\u003C\u002Fa>支出仍是市場最該持有的主題，因為資本開支、電力與算力瓶頸都還在加碼。\u003C\u002Fp>\u003Cp>我認為 AI 基礎設施支出到 2027 年前仍是市場最值得持有的交易，因為這不是情緒題材，而是已經被大型雲端與\u003Ca href=\"\u002Ftag\u002F資料中心\">資料中心\u003C\u002Fa>資本開支鎖定的容量擴張。\u003C\u002Fp>\u003Ch2>第一個論點\u003C\u002Fh2>\u003Cp>先看錢往哪裡去。微軟、亞馬遜、\u003Ca href=\"\u002Ftag\u002Fgoogle\">Google\u003C\u002Fa>、\u003Ca href=\"\u002Ftag\u002Fmeta\">Meta\u003C\u002Fa> 這些 hyperscaler 持續把數十億美元投入資料中心、\u003Ca href=\"\u002Ftag\u002Fgpu\">GPU\u003C\u002Fa>、網路與電力系統，這些不是一季就能收手的採購，而是跨年度的建設計畫。當一家公司把 AI 視為核心能力，capex 就會先於收入出現，市場也應該先看供給端，而不是等消費端完全驗證才承認趨勢。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783731764243-vghh.png\" alt=\"AI 基礎設施支出到 2027 年仍是該持有的交易\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>更重要的是，這種支出具有連鎖效應。一次資料中心擴建，不只買晶片，還會帶動儲存、\u003Ca href=\"\u002Fnews\u002Fais-next-bottleneck-is-data-center-cooling-zh\">散熱\u003C\u002Fa>、變壓器、配電設備與機房工程。2024 年下半年以來，多家電力設備與資料中心供應鏈公司都已經感受到訂單拉長，這代表需求不是單點爆發，而是整條產業鏈一起被拉升。\u003C\u002Fp>\u003Ch2>第二個論點\u003C\u002Fh2>\u003Cp>AI 的真正瓶頸已經從「能不能做出模型」轉成「能不能把模型跑起來」。訓練只是第一階段，推論才是更大的長尾。當企業把 AI 放進搜尋、客服、程式開發與內部\u003Ca href=\"\u002Fnews\u002Fseedream-5-pro-editable-ai-images-zh\">工作\u003C\u002Fa>流，算力就從一次性專案\u003Ca href=\"\u002Fnews\u002Fmidjourney-turns-prompt-ideas-into-art-zh\">變成\u003C\u002Fa>持續性營運成本。這種需求一旦進入日常流程，回落速度會遠慢於炒作速度。\u003C\u002Fp>\u003Cp>歷史也站在這邊。雲端運算在 2010 年代初期同樣被質疑過度投資，但實際上，當工作負載開始遷移，資本開支沒有消失，反而持續擴張。今天的 AI 基礎設施比當年的雲端更吃電、更吃晶片，也更依賴網路與冷卻系統，所以它的黏著度只會更高，不會更低。\u003C\u002Fp>\u003Ch2>反方可能怎麼說\u003C\u002Fh2>\u003Cp>反方最強的說法不是否認 AI，而是提醒市場已經很擠。估值偏高、資料中心可能過建、某些 GPU 類別可能出現供給追上需求的時間差，這些都是真風險。再加上企業導入 AI 的節奏未必跟得上資本開支，短期內確實可能出現「錢先花了，收入還沒來」的落差。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783731762349-530l.png\" alt=\"AI 基礎設施支出到 2027 年仍是該持有的交易\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>他們也會說，超大客戶一旦放慢採購，供應鏈會立刻承壓。這點沒有錯，而且正是 AI 基礎設施的週期性所在。這條交易不保證每個季度都上漲，個股也會因為庫存、毛利與指引而劇烈波動。\u003C\u002Fp>\u003Cp>但我仍然站在多方，因為這個週期不是由少數創業公司撐起，而是由幾家現金流最強的科技巨頭、電力基礎設施、晶片供應鏈與企業買方共同推動。就算單一公司減速，整體需求也不會立刻翻轉。真正該接受的限制是波動，而不是把波動誤判成趨勢結束。\u003C\u002Fp>\u003Ch2>你能做什麼\u003C\u002Fh2>\u003Cp>工程師、PM 與創辦人現在最值得做的事，是把產品與服務對準 AI 基礎設施的瓶頸層：降低推論成本、提升吞吐量、改善部署效率、減少電力浪費，或讓異質硬體更容易管理。對投資人與經營者來說，判斷標準也很清楚：不是只看模型多聰明，而是看誰掌握了讓模型持續運作的稀缺基礎設施。\u003C\u002Fp>\u003Ch2>結論\u003C\u002Fh2>\u003Cp>AI 基礎設施支出不是一個已經走完的故事，而是一條至少延伸到 2027 年的主線。只要算力、電力與資料中心容量仍是稀缺資源，這個交易就還沒有結束。\u003C\u002Fp>","我認為 AI 基礎設施支出到 2027 年前仍是市場最值得持有的主題，因為資本開支、電力與算力瓶頸都還在加碼，而且這不是短線情緒交易。","www.bloomberg.com","https:\u002F\u002Fwww.bloomberg.com\u002Fnews\u002Farticles\u002F2026-07-09\u002Ffranklin-s-dudley-sees-ai-infrastructure-bull-case-through-2027",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783731764243-vghh.png","industry","zh","4924361d-5a66-48d2-832a-46e3940d6186",[17,18,19,20,21],"AI 基礎設施","資本開支","資料中心","算力瓶頸","2027",[23,24,25],"AI 基礎設施支出是跨年度 capex，不是短線情緒交易。","真正的瓶頸在電力、散熱、網路與 GPU 等物理層。","即使估值偏高，長期趨勢仍由大型買方與結構性需求支撐。",0,"2026-07-11T01:02:20.432842+00:00","2026-07-11T01:02:20.425+00:00","7c67e448-4d6e-4ca5-908d-cb050b83a2ac",{"tags":31,"relatedLang":33,"relatedPosts":37},[32],{"name":19,"slug":19},{"id":15,"slug":34,"title":35,"language":36},"ai-infrastructure-spending-durable-through-2027-en","AI infrastructure spending is still the trade to own through 2027","en",[38,44,50,56,62,68],{"id":39,"slug":40,"title":41,"cover_image":42,"image_url":42,"created_at":43,"category":13},"de01f370-fb0f-4fc8-a783-35b92973d921","claude-code-fengxian-tishi-4-ge-xinhao-zh","Claude Code 被警示的 4 個風險信號","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783771380025-237y.png","2026-07-11T12:02:32.045706+00:00",{"id":45,"slug":46,"title":47,"cover_image":48,"image_url":48,"created_at":49,"category":13},"3423a7e8-a179-4463-b477-b3ba264b30b6","amds-ai-stack-turns-silicon-into-platform-choice-zh","AMD 讓 AI 堆疊變平台選擇","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783733600177-nl0g.png","2026-07-11T01:32:52.441938+00:00",{"id":51,"slug":52,"title":53,"cover_image":54,"image_url":54,"created_at":55,"category":13},"6c8ae7de-2112-4c99-854b-569427493bfd","ais-next-bottleneck-is-data-center-cooling-zh","AI 把散熱變成瓶頸","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783730002004-gthz.png","2026-07-11T00:33:00.579446+00:00",{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":13},"208d66c9-26da-48a8-be2e-7452859e256f","six-layer-stablecoin-stack-turns-chaos-into-a-map-zh","六層穩定幣堆疊把混亂變地圖","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783708411934-zqlm.png","2026-07-10T18:33:06.506657+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":13},"200777f4-9d68-4b6b-abb4-7bc15e7d6e78","openai-gov-partnerships-access-policy-zh","OpenAI把存取權做成政策","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783684998337-83za.png","2026-07-10T12:02:53.475221+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":13},"4e7f9fda-2104-4ed5-895c-5d21b78341fb","kubernetes-ai-assisted-maintainership-rules-zh","Kubernetes替AI維護劃規則","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1783672388328-9fvp.png","2026-07-10T08:32:42.07423+00:00",[75,80,85,90,95,100,105,110,115,120],{"id":76,"slug":77,"title":78,"created_at":79},"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":81,"slug":82,"title":83,"created_at":84},"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":86,"slug":87,"title":88,"created_at":89},"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":91,"slug":92,"title":93,"created_at":94},"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":96,"slug":97,"title":98,"created_at":99},"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":101,"slug":102,"title":103,"created_at":104},"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":106,"slug":107,"title":108,"created_at":109},"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":111,"slug":112,"title":113,"created_at":114},"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":116,"slug":117,"title":118,"created_at":119},"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":121,"slug":122,"title":123,"created_at":124},"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"]