[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-openai-anthropic-ai-jobs-doom-zh":3,"article-related-openai-anthropic-ai-jobs-doom-zh":34,"series-industry-ca94266c-8274-4bdb-96d2-2cf05555a6b8":87},{"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":26,"views":30,"created_at":31,"published_at":32,"topic_cluster_id":33},"ca94266c-8274-4bdb-96d2-2cf05555a6b8","openai-anthropic-ai-jobs-doom-zh","OpenAI 與 Anthropic 的 AI 工作爭論","\u003Cp data-speakable=\"summary\">\u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 的 Chris Olah 支持 Dario Amodei 對 AI 衝擊工作的警告，和 \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 的樂觀說法拉開距離。\u003C\u002Fp>\u003Cp>這篇在講一件很直白的事。\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\" target=\"_blank\" rel=\"noopener\">Anthropic\u003C\u002Fa> 的 Chris Olah，在梵蒂岡的 AI 倫理會議上，替公司對就業風險的說法背書。另一邊，\u003Ca href=\"https:\u002F\u002Fopenai.com\" target=\"_blank\" rel=\"noopener\">OpenAI\u003C\u002Fa> 還是偏向講 AI 很好用。兩邊都在搶同一批開發者、企業和政策圈注意力。\u003C\u002Fp>\u003Cp>這種分歧不是嘴砲而已。它會影響企業怎麼買 API，主管怎麼編預算，員工怎麼看自己的工作。講白了，就是 AI 到底是幫手，還是先把人力結構洗一遍。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>主題\u003C\u002Fth>\u003Cth>內容\u003C\u002Fth>\u003Cth>意義\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>人物\u003C\u002Ftd>\u003Ctd>Chris Olah\u003C\u002Ftd>\u003Ctd>Anthropic 創辦人之一，公開放大風險訊號\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>場合\u003C\u002Ftd>\u003Ctd>Vatican AI ethics conference\u003C\u002Ftd>\u003Ctd>討論場域已經離開矽谷圈內\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>公司立場\u003C\u002Ftd>\u003Ctd>Dario Amodei 對 AI 與工作衝擊的警告\u003C\u002Ftd>\u003Ctd>Anthropic 持續走風險優先路線\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>產品背景\u003C\u002Ftd>\u003Ctd>GPT-4o、Claude\u003C\u002Ftd>\u003Ctd>兩家都在推更強模型，競爭更直接\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>Anthropic 把就業風險講得更大聲\u003C\u002Fh2>\u003Cp>Olah 的發言不是單點事件。它接得上 Anthropic 這幾個月的固定調性。公司一直在講，AI 變強之後，白領工作會先被擠壓。這種說法很刺耳，但也很符合他們現在的公關路線。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779958985580-lvul.png\" alt=\"OpenAI 與 Anthropic 的 AI 工作爭論\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>你可以把它理解成一種策略。別人先講效率、速度、成本下降，Anthropic 先講代價。這樣做有點像先把最難聽的話講完，免得外界只看到模型 demo，沒看到人力調整的帳單。\u003C\u002Fp>\u003Cp>而且這不是抽象恐懼。寫\u003Ca href=\"\u002Fnews\u002Fgithub-copilot-security-code-quality-may-2026-zh\">程式\u003C\u002Fa>、客服、文件整理、法務初審，這些工作都已經被 LLM 吃到一部分。當模型 API 變便宜、推理變快，企業自然會開始算，哪些人可以少補，哪些流程可以砍掉。\u003C\u002Fp>\u003Cul>\u003Cli>Chris Olah 是 Anthropic 的共同創辦人之一。\u003C\u002Fli>\u003Cli>發言場景是梵蒂岡的 AI 倫理會議。\u003C\u002Fli>\u003Cli>內容延續 Dario Amodei 對就業衝擊的警告。\u003C\u002Fli>\u003Cli>焦點放在白領工作與轉職速度。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>OpenAI 和 Anthropic 的差別，不只在模型\u003C\u002Fh2>\u003Cp>這場爭論不只是誰的模型比較強。真正差的是敘事。\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-4o\u002F\" target=\"_blank\" rel=\"noopener\">GPT-4o\u003C\u002Fa> 這類產品的對外說法，通常會強調通用性、速度和實用性。Anthropic 的 \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude\u003C\u002Fa> 系列，則常把安全、治理和風險放在前面。\u003C\u002Fp>\u003Cp>這種差別很重要。因為企業買的不是只有模型。它們也在買一種決策語言。當一家公司說「這能幫你省時」，另一家公司說「這可能讓某些職位先消失」，採購主管聽到的根本不是同一件事。\u003C\u002Fp>\u003Cp>我覺得這裡最有趣的地方，是兩邊都可能講對。AI 可以提升產出，也可以縮編團隊。它可以幫你寫 \u003Ca href=\"\u002Fnews\u002Fmicrosoft-cuts-claude-code-as-ai-costs-spike-zh\">code\u003C\u002Fa>，也可以讓原本三個人的流程變成一個人加一個 \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa>。這就是現在最尷尬的地方。\u003C\u002Fp>\u003Cblockquote>“We need to be very careful about how we deploy these systems,” Dario Amodei said in a 2025 interview with \u003Ca href=\"https:\u002F\u002Fwww.axios.com\" target=\"_blank\" rel=\"noopener\">Axios\u003C\u002Fa>.\u003C\u002Fblockquote>\u003Cp>這句話很像 Anthropic 近來的整體語氣。不是喊恐慌，而是一直提醒你，部署速度和社會成本是綁在一起的。Olah 在梵蒂岡講這個，就不只是技術圈內談話了。\u003C\u002Fp>\u003Ch2>把數字攤開看，爭論才不會飄在空中\u003C\u002Fh2>\u003Cp>這篇原文很短，但 AI 與工作的爭論早就有很多可量化的點。沒有數字，討論很容易變成情緒戰。有了數字，才知道到底是在講產品能力，還是在講人力重組。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779958985709-u03h.png\" alt=\"OpenAI 與 Anthropic 的 AI 工作爭論\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>先看幾個已經能拿來對照的資訊。Anthropic 和 OpenAI 都在推更強的模型。兩邊都在把 API、聊天介面和工具整合做得更完整。差別是，Anthropic 更常把風險拿到台面上。\u003C\u002Fp>\u003Cp>再看場域。這次是在梵蒂岡的 AI 倫理會議，不是在產品發表會。這代表議題已經從「模型多會寫」變成「模型會怎麼改變工作市場」。這個轉向，對政策和企業內部討論都很重要。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fnews\u002Fanthropic-economic-index\" target=\"_blank\" rel=\"noopener\">Anthropic Economic Index\u003C\u002Fa> 用來追蹤 AI 對工作的影響。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-4o\u002F\" target=\"_blank\" rel=\"noopener\">GPT-4o\u003C\u002Fa> 主打更廣泛的通用能力。\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude\" target=\"_blank\" rel=\"noopener\">Claude\u003C\u002Fa> 也在往更高階的知識工作場景走。\u003C\u002Fli>\u003Cli>梵蒂岡會議把議題拉進倫理和政策圈。\u003C\u002Fli>\u003C\u002Ful>\u003Cp>如果你是開發者，這裡的重點很現實。模型能力上去之後，最先變的通常不是「有沒有 AI」，而是「誰來管 AI」。接著才是團隊編制、KPI 和採購流程。很多公司嘴上說要導入，實際上是在重新算人事成本。\u003C\u002Fp>\u003Cp>所以這場爭論不是純哲學。它會直接影響 SaaS 預算、內部自動化專案，還有你下一個產品該不該把 agent 做成預設功能。說真的，這比單看 \u003Ca href=\"\u002Ftag\u002Fbenchmark\">benchmark\u003C\u002Fa> 更接近現實。\u003C\u002Fp>\u003Ch2>這場對立，其實是整個 AI 產業的縮影\u003C\u002Fh2>\u003Cp>Anthropic 和 OpenAI 的差異，反映的是兩種商業語言。OpenAI 比較像在賣能力。Anthropic 比較像在賣克制。前者讓人想趕快試，後者讓人先想一下要不要踩煞車。\u003C\u002Fp>\u003Cp>這也和整個產業的路線有關。當模型從 demo 走向正式部署，大家開始碰到真問題：資料權限、錯誤率、責任歸屬、員工反彈。這些東西\u003Ca href=\"\u002Fnews\u002Fwhy-turboquant-matters-more-than-model-size-zh\">比模型\u003C\u002Fa>參數更麻煩，也更花錢。\u003C\u002Fp>\u003Cp>我會說，Anthropic 現在的說法有點像在提醒市場：別只看 \u003Ca href=\"\u002Ftag\u002Ftoken\">token\u003C\u002Fa> 成本。真正貴的，可能是流程重設和組織震盪。這句話不帥，但很實際。\u003C\u002Fp>\u003Ch2>接下來要看什麼\u003C\u002Fh2>\u003Cp>接下來可以看 Anthropic 會不會持續把「AI 會衝擊工作」講得更明白。如果它一直維持這個調性，政策圈會更認真把它當預測，不會只當公關話術。這對監管討論會有差。\u003C\u002Fp>\u003Cp>對台灣的開發者和產品團隊來說，重點也很簡單。不要只問模型能不能做事。要問它會先改掉哪個流程，會不會先砍掉哪個職能。你如果現在就在做自動化，最好順手把人力調整也算進去。\u003C\u002Fp>\u003Cp>我的判斷是，接下來 12 個月，這種「AI 先改工作，再改產品」的討論會更常出現。你現在就該開始看自己團隊裡，哪些任務是最容易被 LLM 吃掉的。這比追每一版新模型，實際多了。\u003C\u002Fp>","Anthropic 的 Chris Olah 轉述 Dario Amodei 對 AI 衝擊工作的警告，和 OpenAI 的樂觀敘事形成對比，也讓 AI 與就業的爭論更直接。","www.axios.com","https:\u002F\u002Fwww.axios.com\u002F2026\u002F05\u002F27\u002Fai-hype-doom-openai-anthropic",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779958985580-lvul.png","industry","zh","d55747c6-860a-4a9c-b6b1-a0982f7b7904",[17,18,19,20,21,22,23,24,25],"OpenAI","Anthropic","AI jobs","Dario Amodei","Chris Olah","Claude","GPT-4o","LLM","工作衝擊",[27,28,29],"Anthropic 把 AI 衝擊工作的風險講得更直接。","OpenAI 和 Anthropic 的差別，核心在敘事與定位。","對開發者來說，AI 導入已經是人力與流程問題。",3,"2026-05-28T09:02:30.383321+00:00","2026-05-28T09:02:30.342+00:00","29fa8a72-a8a8-473e-975c-3991ae762f60",{"tags":35,"relatedLang":46,"relatedPosts":50},[36,38,40,42,44],{"name":19,"slug":37},"ai-jobs",{"name":20,"slug":39},"dario-amodei",{"name":17,"slug":41},"openai",{"name":21,"slug":43},"chris-olah",{"name":18,"slug":45},"anthropic",{"id":15,"slug":47,"title":48,"language":49},"openai-anthropic-ai-jobs-doom-en","OpenAI vs Anthropic on AI jobs and doom","en",[51,57,63,69,75,81],{"id":52,"slug":53,"title":54,"cover_image":55,"image_url":55,"created_at":56,"category":13},"20d0b5fc-a363-481d-86b2-e30276a49e92","amd-microsoft-windows-ml-acceleration-zh","AMD 與 Microsoft 把 Windows ML 推進 GPU 與 N…","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781047980407-vd5p.png","2026-06-09T23:32:31.304436+00:00",{"id":58,"slug":59,"title":60,"cover_image":61,"image_url":61,"created_at":62,"category":13},"9a0692ba-a9c5-42eb-823d-8a0e6e6ae3fc","openai-ipo-filing-turns-hype-into-scrutiny-zh","OpenAI IPO 讓神話變審核","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781042614962-bj12.png","2026-06-09T22:03:04.524304+00:00",{"id":64,"slug":65,"title":66,"cover_image":67,"image_url":67,"created_at":68,"category":13},"40d4f012-36b6-4b8f-b470-30242a0b8483","skatteetaten-public-sector-ai-should-be-judged-by-outcomes-zh","Skatteetaten 證明公部門 AI 應該看成果，不是看噱頭","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781038986405-p8cf.png","2026-06-09T21:02:32.1198+00:00",{"id":70,"slug":71,"title":72,"cover_image":73,"image_url":73,"created_at":74,"category":13},"f937e16b-7b3c-4ec8-b9f6-2b6031c6892c","openai-ipo-filing-wall-street-test-zh","OpenAI IPO 登場，華爾街先看這 5 件事","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781032675072-oq1m.png","2026-06-09T19:17:23.187013+00:00",{"id":76,"slug":77,"title":78,"cover_image":79,"image_url":79,"created_at":80,"category":13},"8258e540-397f-4566-8ae5-37582f3e3418","openai-latest-moves-pricing-safety-scale-zh","OpenAI 4 個最新動向：定價、安全、規模都在變","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781031777355-odh9.png","2026-06-09T19:02:26.913687+00:00",{"id":82,"slug":83,"title":84,"cover_image":85,"image_url":85,"created_at":86,"category":13},"5a3f8c97-afa9-43cd-a5f7-64a1fcfd99d2","risc-v-mini-pcs-worth-buying-now-future-bet-zh","RISC-V 迷你電腦現在值得買，但只適合押注未來","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781026383355-9003.png","2026-06-09T17:32:31.318476+00:00",[88,93,98,103,108,113,118,123,128,133],{"id":89,"slug":90,"title":91,"created_at":92},"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":94,"slug":95,"title":96,"created_at":97},"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":99,"slug":100,"title":101,"created_at":102},"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":104,"slug":105,"title":106,"created_at":107},"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":109,"slug":110,"title":111,"created_at":112},"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":114,"slug":115,"title":116,"created_at":117},"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":119,"slug":120,"title":121,"created_at":122},"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":124,"slug":125,"title":126,"created_at":127},"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":129,"slug":130,"title":131,"created_at":132},"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":134,"slug":135,"title":136,"created_at":137},"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"]