{"id":90158,"topic":"ai","source":"财新","title":"恩格斯停顿会重演吗？人工智能时代的资本、劳动与分配（二） - 财新","url":"https://opinion.caixin.com/2026-09-25/102488739.html","url_hash":"a1937d965b935a14c420fe05d465712437350e73","author":"","summary":"<a href=\"https://news.google.com/rss/articles/CBMiYkFVX3lxTFAxRm5LdmtOM3lBMkw4STRsZXA4LWs4VUc0OW1Tc3lTZ1BSbFdwc3ctYmY3ems3RFNuRmZoYXRyaGctdmJZMTNxamJnZGdJVC1ZaVp0Y1FEcnN1aHZLY05maVFn?oc=5\" target=\"_blank\">恩格斯停顿会重演吗？人工智能时代的资本、劳动与分配（二）</a>&nbsp;&nbsp;<font color=\"#6f6f6f\">财新</font>","content":"艾伦的故事有两根支柱：技术进步快于配套资本积累，解释了停顿为何发生；资本与劳动的高度互补，则解释了资本积累为何最终能够推动工资追赶生产率。比较今天的人工智能与第一次工业革命，也可以沿着这两个维度展开。先看第一个：资本的角色与稀缺性。\n在这一点上，今天与1800年前后的英国有一个重要的相似之处：技术能力的进步快于配套资本的形成。大模型的能力在短短几年内迅速提高，模型一旦训练完成，软件本身的复制成本很低，有利于大规模应用。但支撑模型训练和推理的资本却不能以同样的速度扩张。原因是即使企业能够筹集到足够的资金，资金也不能立即变成算力：先进芯片需要生产，数据中心需要建设，电力需要扩容和接入。这与19世纪初主要受储蓄和资本积累速度约束不同，今天AI面临的资本约束不仅是“能筹到多少钱”，更是“能多快把钱转化为芯片、算力、电力和数据中心”。","image_url":null,"lang":"zh","published_at":"2026-09-25T09:59:00+00:00","fetched_at":"2026-09-25T10:15:08+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"艾伦的故事有两根支柱：技术进步快于配套资本积累，解释了停顿为何发生；资本与劳动的高度互补，则解释了资本积累为何最终能够推动工资追赶生产率。比较今天的人工智能与第一次工业革命，也可以沿着这两个维度展开。先看第一个：资本的角色与稀缺性。\n在这一点上，今天与1800年前后的英国有一个重要的相似之处：技术能力的进步快于配套资本的形成。大模型的能力在短短几年内迅速提高，模型一旦训练完成，软件本身的复制成本很低，有利于大规模应用。但支撑模型训练和推…","cluster_id":3581908,"extract_retries":0,"extract_error":null,"contract_version":"news_item.v1","format_contract_version":"news_item_formats.v1","dedup_url":"https://opinion.caixin.com/2026-09-25/102488739.html","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 367 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":367,"summary_length":221,"usable_text_length":367,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":367,"summary_length":221}},"news_item":{"id":90158,"canonical_url":"https://opinion.caixin.com/2026-09-25/102488739.html","source_url":"https://opinion.caixin.com/2026-09-25/102488739.html","title":"恩格斯停顿会重演吗？人工智能时代的资本、劳动与分配（二） - 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