[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-why-ai-leaders-are-changing-their-jobs-message-zh":3,"article-related-why-ai-leaders-are-changing-their-jobs-message-zh":30,"series-industry-7d01705b-a481-498b-9d3f-ef28f5d56688":78},{"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":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":11},"7d01705b-a481-498b-9d3f-ef28f5d56688","why-ai-leaders-are-changing-their-jobs-message-zh","為什麼 AI 領袖正在改口：從「搶工作」到「創造工作」","\u003Cp data-speakable=\"summary\">AI 領袖正在把訊息從「AI 會搶工作」改成「AI 會\u003Ca href=\"\u002Fnews\u002Fwhy-jensen-huang-is-wrong-about-ai-creating-jobs-zh\">創造工作\u003C\u002Fa>」。\u003C\u002Fp>\u003Cp>這不是價值觀突然變善良，而是公關與政治上的撤退。當一項技術被包裝成會讓大量勞工失去經濟位置，民眾、監管者和政客就會開始設防。\u003Ca href=\"\u002Ftag\u002Fsam-altman\">Sam Altman\u003C\u002Fa>、\u003Ca href=\"\u002Ftag\u002Fjensen-huang\">Jensen Huang\u003C\u002Fa> 等人近來強調人機協作、增能與新任務，背後的現實很直接：把自己說成替代人類的機器，等於主動替監管火上加油。\u003C\u002Fp>\u003Ch2>第一個論點：先改口，是為了政治生存，不是哲學頓悟\u003C\u002Fh2>\u003Cp>AI 產業過去的說法太危險。若領袖一邊宣稱模型會大幅提高生產力，一邊又暗示它會讓勞工過時，社會聽到的只會是威脅。Pew 等民調已顯示，美國民眾對 AI 的看法正在轉負，獨立選民尤其明顯。這不是單純的品牌問題，而是合法性問題。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778064045073-ojyg.png\" alt=\"為什麼 AI 領袖正在改口：從「搶工作」到「創造工作」\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>政治訊號也在變硬。當 B\u003Ca href=\"\u002Fnews\u002Fpaperless-ai-document-chat-rag-hybrid-search-zh\">er\u003C\u002Fa>nie Sanders 把 AI 放進權力與失業的框架，當川普陣營談起模型上線前審查，產業就不可能再用「我們會讓你失業」當主軸。任何想要擴張部署空間的公司，都知道自己不能一邊喊著取代工人，一邊期待溫和監管。\u003C\u002Fp>\u003Ch2>第二個論點：工作會變形，但不等於只會消失\u003C\u002Fh2>\u003Cp>最強的親 AI 論點不是「每個現職都會保住」，而是技術史一再顯示，成本下降往往會帶來新需求。Aa\u003Ca href=\"\u002Fnews\u002Fwhy-anthropic-is-right-on-ai-cyber-risk-zh\">ro\u003C\u002Fa>n Levie 提過一個很實際的例子：如果 AI 讓寫程式變便宜，企業不會因此停止需要人，反而會在安全、合規、分析、治理、行銷與產品協作上投入更多人力。這就是誘發需求的典型機制。\u003C\u002Fp>\u003Cp>更重要的是，企業不是抽象模型，而是會追求更多產出、更多服務與更多差異化的組織。當知識工作變便宜，管理層通常不會只裁員，還會想把原本做不到的事做出來。這表示更多內容、更多軟體、更多法務審查、更多監督與更多人類判斷，AI 會改變工作結構，但不等於把工作清空。\u003C\u002Fp>\u003Ch2>反方可能怎麼說\u003C\u002Fh2>\u003Cp>最強的反對意見是：這次真的不一樣。如果 AI 真的能跨越大多數高價值任務，那麼過去「新工作會出現」的歷史規律就可能失效。當機器在更多領域都比人強，人類的比較優勢會縮小，勞動所得占比也可能下滑。批評者因此認為，產業把「創造工作」當主敘事，只是在拖延一個不受歡迎但真實的長期結果。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778064054765-eqb8.png\" alt=\"為什麼 AI 領袖正在改口：從「搶工作」到「創造工作」\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這個提醒值得認真看待，因為長期自動化風險確實存在。但它不能成為現在繼續用災難語言宣傳的理由。公共政策不是在投票選一個科幻終局，而是在處理眼前的產品、勞動市場與企業權力。就算長期風險存在，領袖若持續高喊「我們會讓你過時」，只會更快招來限制。\u003C\u002Fp>\u003Cp>更務實的結論是：AI 會擠壓一部分工作，也會創造另一部分工作。領袖若想要社會接受部署，就必須把它描述成增能工具，而不是人類冗餘的宣告。這不是粉飾太平，而是對現實的最低限度誠實。\u003C\u002Fp>\u003Ch2>你能做什麼\u003C\u002Fh2>\u003Cp>如果你是工程師、PM 或創辦人，別再把 AI 產品包裝成「取代某個職位」的故事。你要能清楚說出：它移除了哪個步驟、創造了哪個新步驟、以及哪個人類判斷仍然不可或缺。若你的產品敘事一講就像在威脅就業，你還沒準備好面對大規模採用。真正能過關的說法不是「我們讓人不重要」，而是「我們讓人更有能力，而且能證明」。\u003C\u002Fp>","AI 領袖之所以改口，不是理念變成熟，而是原本的「AI 會搶工作」敘事已經在政治上失分、在經濟上也說不完整。","www.noahpinion.blog","https:\u002F\u002Fwww.noahpinion.blog\u002Fp\u002Fais-big-messaging-pivot",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778064045073-ojyg.png","industry","zh","18e276f2-95e2-4561-aa45-b647a1035b56",[17,18,19,20,21,22],"AI 領袖","就業敘事","政治風險","人機協作","自動化","勞動市場",[24,25,26],"AI 領袖改口，核心原因是政治壓力與監管風險，不是價值觀突然轉向。","把 AI 說成搶工作，會削弱社會接受度，也會加速政策反制。","較可信的敘事不是「不會失業」，而是「工作會重組，AI 會增能而非宣告人類冗餘」。",2,"2026-05-06T10:40:20.936128+00:00","2026-05-06T10:40:20.758+00:00",{"tags":31,"relatedLang":38,"relatedPosts":42},[32,33,35,36,37],{"name":20,"slug":20},{"name":17,"slug":34},"ai-領袖",{"name":18,"slug":18},{"name":19,"slug":19},{"name":21,"slug":21},{"id":15,"slug":39,"title":40,"language":41},"why-ai-leaders-are-changing-their-jobs-message-en","Why AI Leaders Are Changing Their Jobs Message","en",[43,49,55,61,67,73],{"id":44,"slug":45,"title":46,"cover_image":47,"image_url":47,"created_at":48,"category":13},"6ea8328e-e00d-4d72-a4a1-87f5317bbc18","why-model-release-feeds-matter-more-zh","為什麼 model-release feeds 比 model-launch …","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780611467055-48ut.png","2026-06-04T22:17:15.391238+00:00",{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":13},"1960b819-d6b4-446c-9326-2bb4de2c9964","microsoft-first-reasoning-model-tracker-plain-english-zh","Microsoft 首個推理模型怎麼看","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780610598250-8v5r.png","2026-06-04T22:02:49.319184+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":13},"58fe51d5-e1c0-4b6d-9033-c40eb1f4f811","efrain-juarez-player-to-liga-mx-coach-zh","Efraín Juárez：從球員到Liga 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