{"id":16788,"date":"2026-08-12T00:00:24","date_gmt":"2026-08-11T14:00:24","guid":{"rendered":"https:\/\/geoffreychen.com\/why-faster-workers-do-not-make-a-faster-organisation\/"},"modified":"2026-08-12T00:00:24","modified_gmt":"2026-08-11T14:00:24","slug":"why-faster-workers-do-not-make-a-faster-organisation","status":"publish","type":"post","link":"https:\/\/geoffreychen.com\/zh\/why-faster-workers-do-not-make-a-faster-organisation\/","title":{"rendered":"\u6bcf\u4e2a\u4eba\u90fd\u66f4\u5feb\u4e86\uff0c\u4e3a\u4ec0\u4e48\u6574\u4e2a\u7ec4\u7ec7\u6ca1\u6709\u66f4\u5feb\uff1f"},"content":{"rendered":"<\/p>\n<p><em>\u300aAI\u8fdb\u5165\u5de5\u4f5c\u4e4b\u540e\u300b\u00b7 \u7b2c\u4e8c\u5b63\u201c\u4ece\u4e2a\u4eba\u5de5\u5177\u5230\u7ec4\u7ec7\u80fd\u529b\u201d\u00b7 \u7b2c\u4e5d\u7bc7<\/em><\/p>\n<p>\u4e00\u4e2a\u56e2\u961f\u4f7f\u7528AI\u540e\uff0c\u90ae\u4ef6\u8d77\u8349\u3001\u4f1a\u8bae\u6458\u8981\u548c\u62a5\u544a\u521d\u7a3f\u90fd\u660e\u663e\u52a0\u5feb\u3002\u5458\u5de5\u611f\u89c9\u6bcf\u5929\u5b8c\u6210\u4e86\u66f4\u591a\u5c0f\u4efb\u52a1\uff0c\u7ba1\u7406\u5c42\u4e5f\u80fd\u770b\u89c1\u751f\u6210\u6570\u91cf\u589e\u957f\u3002\u4f46\u5ba2\u6237\u7b49\u5f85\u65f6\u95f4\u6ca1\u6709\u7f29\u77ed\uff0c\u9879\u76ee\u4ea4\u4ed8\u65e5\u671f\u6ca1\u6709\u63d0\u524d\uff0c\u5ba1\u6279\u961f\u5217\u53cd\u800c\u66f4\u957f\u3002<\/p>\n<p>\u8fd9\u662f\u56e0\u4e3a\u7ec4\u7ec7\u901f\u5ea6\u4e0d\u662f\u4e2a\u4eba\u901f\u5ea6\u7684\u603b\u548c\u3002\u5de5\u4f5c\u8981\u7ecf\u8fc7\u4ea4\u63a5\u3001\u7b49\u5f85\u3001\u51b3\u5b9a\u548c\u8fd4\u5de5\u3002AI\u52a0\u5feb\u5176\u4e2d\u4e00\u4e2a\u73af\u8282\uff0c\u5982\u679c\u4e0b\u4e00\u4e2a\u73af\u8282\u5bb9\u91cf\u4e0d\u53d8\uff0c\u7ed3\u679c\u53ea\u662f\u66f4\u5feb\u5730\u628a\u5de5\u4f5c\u9001\u5230\u74f6\u9888\u3002<\/p>\n<h2>\u5c40\u90e8\u751f\u4ea7\u7387\u4e0e\u6574\u4f53\u541e\u5410\u4e0d\u662f\u540c\u4e00\u6307\u6807<\/h2>\n<p>\u4e00\u4e2a\u4eba\u7528\u4e24\u5c0f\u65f6\u5b8c\u6210\u8fc7\u53bb\u9700\u8981\u56db\u5c0f\u65f6\u7684\u8349\u7a3f\uff0c\u5c40\u90e8\u6548\u7387\u63d0\u9ad8\u4e86\u4e00\u500d\u3002\u4f46\u5982\u679c\u8349\u7a3f\u5fc5\u987b\u7b49\u5f85\u4e09\u5929\u7531\u540c\u4e00\u540d\u4e13\u5bb6\u6279\u51c6\uff0c\u5ba2\u6237\u5f97\u5230\u7ed3\u679c\u7684\u65f6\u95f4\u51e0\u4e4e\u4e0d\u53d8\u3002<\/p>\n<p>\u7ec4\u7ec7\u771f\u6b63\u5173\u5fc3\u7684\u901a\u5e38\u662f\u7aef\u5230\u7aef\u7ed3\u679c\uff1a\u4ece\u9700\u6c42\u8fdb\u5165\u5230\u5408\u683c\u7ed3\u679c\u88ab\u91c7\u7528\uff0c\u9700\u8981\u591a\u4e45\uff1b\u6709\u591a\u5c11\u5de5\u4f5c\u5728\u5904\u7406\u4e2d\uff1b\u591a\u5c11\u56e0\u4e3a\u9519\u8bef\u8fd4\u56de\uff1b\u591a\u5c11\u6700\u7ec8\u5bf9\u5ba2\u6237\u6216\u4e1a\u52a1\u4ea7\u751f\u4ef7\u503c\u3002<\/p>\n<p>\u5b57\u6570\u3001\u63d0\u793a\u6b21\u6570\u548c\u521d\u7a3f\u6570\u91cf\u5bb9\u6613\u6d4b\u91cf\uff0c\u5374\u53ef\u80fd\u53ea\u662f\u5e93\u5b58\u3002\u6ca1\u6709\u901a\u8fc7\u9a8c\u8bc1\u548c\u51b3\u5b9a\u7684\u4ea7\u7269\u8d8a\u591a\uff0c\u79ef\u538b\u8d8a\u5927\u3002<\/p>\n<h2>AI\u4f1a\u628a\u74f6\u9888\u4ece\u751f\u4ea7\u79fb\u5230\u534f\u8c03<\/h2>\n<p>\u5f53\u8d77\u8349\u6210\u672c\u4e0b\u964d\uff0c\u66f4\u591a\u4eba\u4f1a\u63d0\u51fa\u201c\u987a\u4fbf\u518d\u505a\u4e00\u4efd\u5206\u6790\u201d\u201c\u518d\u51c6\u5907\u4e09\u4e2a\u7248\u672c\u201d\u3002\u4ea7\u51fa\u589e\u52a0\u540e\uff0c\u4e13\u4e1a\u590d\u6838\u3001\u6cd5\u5f8b\u5ba1\u67e5\u3001\u7ba1\u7406\u6279\u51c6\u548c\u7cfb\u7edf\u53d1\u5e03\u6210\u4e3a\u7a00\u7f3a\u8d44\u6e90\u3002<\/p>\n<p>\u534f\u8c03\u6210\u672c\u4e5f\u4f1a\u4e0a\u5347\u3002\u66f4\u591a\u8349\u7a3f\u610f\u5473\u7740\u66f4\u591a\u6bd4\u8f83\u3001\u547d\u540d\u3001\u7248\u672c\u548c\u4f1a\u8bae\u3002AI\u8282\u7701\u4e86\u5199\u7b2c\u4e00\u7248\u7684\u65f6\u95f4\uff0c\u5374\u53ef\u80fd\u589e\u52a0\u51b3\u5b9a\u91c7\u7528\u54ea\u4e00\u7248\u7684\u65f6\u95f4\u3002<\/p>\n<p>\u4e00\u9879\u8986\u76d666\u5bb6\u4f01\u4e1a\u548c7,137\u540d\u77e5\u8bc6\u5de5\u4f5c\u8005\u7684\u73b0\u573a\u5b9e\u9a8c\u53d1\u73b0\uff0c\u4f7f\u7528\u751f\u6210\u5f0fAI\u7684\u5458\u5de5\u540e\u6765\u6bcf\u5468\u5c11\u82b1\u7ea6\u4e24\u5c0f\u65f6\u5904\u7406\u90ae\u4ef6\uff0c\u5e76\u51cf\u5c11\u975e\u6b63\u5e38\u5de5\u4f5c\u65f6\u95f4\uff0c\u4f46\u4e2a\u4eba\u83b7\u5f97\u5de5\u5177\u5e76\u6ca1\u6709\u5e26\u6765\u4efb\u52a1\u6570\u91cf\u6216\u6784\u6210\u7684\u663e\u8457\u53d8\u5316\u3002<a href=\"https:\/\/www.nber.org\/papers\/w33795\" target=\"_blank\" rel=\"noopener\">NBER\uff1a\u300aShifting Work Patterns with Generative AI\u300b<\/a><\/p>\n<p>\u8fd9\u8bf4\u660e\u4e2a\u4eba\u65f6\u95f4\u6536\u76ca\u53ef\u80fd\u771f\u5b9e\u5b58\u5728\uff0c\u5374\u4e0d\u4f1a\u81ea\u52a8\u91cd\u7ec4\u7ec4\u7ec7\u6d41\u7a0b\u3002<\/p>\n<h2>\u539f\u6709\u6307\u6807\u4f1a\u5438\u6536\u8282\u7701\u7684\u65f6\u95f4<\/h2>\n<p>\u5982\u679c\u7ee9\u6548\u4ecd\u6309\u90ae\u4ef6\u6570\u91cf\u3001\u62a5\u544a\u6570\u91cf\u548c\u54cd\u5e94\u901f\u5ea6\u8861\u91cf\uff0c\u5458\u5de5\u4f1a\u7528AI\u63d0\u9ad8\u8fd9\u4e9b\u6570\u5b57\u3002\u7ec4\u7ec7\u4e0d\u4e00\u5b9a\u7ed9\u4ed6\u4eec\u51cf\u5c11\u4f1a\u8bae\u3001\u6539\u5584\u8d44\u6599\u6216\u4fee\u590d\u6d41\u7a0b\u7684\u7a7a\u95f4\u3002<\/p>\n<p>\u7701\u4e0b\u7684\u65f6\u95f4\u8fd8\u53ef\u80fd\u88ab\u65b0\u7684\u5de5\u4f5c\u8981\u6c42\u5360\u7528\u3002\u5173\u4e8eAI\u66b4\u9732\u4e0e\u5de5\u4f5c\u65f6\u95f4\u7684\u4e00\u9879NBER\u7814\u7a76\u53d1\u73b0\uff0c\u5728\u5176\u6570\u636e\u4e0e\u6a21\u578b\u4e0b\uff0c\u66f4\u9ad8AI\u66b4\u9732\u4e0e\u8f83\u957f\u5de5\u4f5c\u65f6\u95f4\u3001\u8f83\u5c11\u4f11\u95f2\u76f8\u5173\uff0c\u4f5c\u8005\u8ba8\u8bba\u4e86\u751f\u4ea7\u7387\u6536\u76ca\u5982\u4f55\u88ab\u5e02\u573a\u548c\u7ec4\u7ec7\u5b89\u6392\u5206\u914d\u3002<a href=\"https:\/\/www.nber.org\/papers\/w33536\" target=\"_blank\" rel=\"noopener\">NBER\uff1a\u300aAI and the Extended Workday\u300b<\/a><\/p>\n<p>\u8fd9\u4e0d\u662f\u6240\u6709\u5458\u5de5\u5fc5\u7136\u52a0\u73ed\u7684\u5b9a\u5f8b\uff0c\u4f46\u63d0\u9192\u6211\u4eec\uff1a\u6280\u672f\u8282\u7701\u4e0d\u4f1a\u81ea\u884c\u51b3\u5b9a\u7531\u8c01\u83b7\u5f97\u3002\u7ec4\u7ec7\u5fc5\u987b\u660e\u786e\u6536\u76ca\u7528\u4e8e\u51cf\u8d1f\u3001\u63d0\u8d28\u3001\u6269\u91cf\u8fd8\u662f\u65b0\u670d\u52a1\u3002<\/p>\n<h2>\u65b0\u6280\u672f\u901a\u5e38\u9700\u8981\u65e0\u5f62\u7684\u4e92\u8865\u6295\u8d44<\/h2>\n<p>\u201c\u751f\u4ea7\u7387J\u66f2\u7ebf\u201d\u7814\u7a76\u6307\u51fa\uff0c\u901a\u7528\u6280\u672f\u9700\u8981\u6d41\u7a0b\u3001\u4ea7\u54c1\u3001\u5546\u4e1a\u6a21\u5f0f\u548c\u4eba\u529b\u8d44\u672c\u7684\u5171\u540c\u521b\u65b0\u3002\u8fd9\u4e9b\u65e0\u5f62\u6295\u8d44\u5728\u65e9\u671f\u53ef\u80fd\u4f7f\u751f\u4ea7\u7387\u6536\u76ca\u4e0d\u660e\u663e\uff0c\u4e4b\u540e\u624d\u88ab\u6536\u83b7\u3002<a href=\"https:\/\/www.nber.org\/papers\/w25148\" target=\"_blank\" rel=\"noopener\">NBER\uff1a\u300aThe Productivity J-Curve\u300b<\/a><\/p>\n<p>\u5bf9\u4e8eAI\uff0c\u4e92\u8865\u6295\u8d44\u5305\u62ec\u6e05\u7406\u77e5\u8bc6\u3001\u5efa\u7acb\u8bc4\u6d4b\u3001\u8c03\u6574\u5c97\u4f4d\u3001\u91cd\u65b0\u8bbe\u8ba1\u6279\u51c6\u3001\u8bad\u7ec3\u5458\u5de5\u548c\u4fee\u6539\u6307\u6807\u3002\u8d2d\u4e70\u8bb8\u53ef\u8bc1\u5f88\u5feb\uff0c\u6539\u53d8\u8fd9\u4e9b\u7ed3\u6784\u5f88\u6162\u3002<\/p>\n<p>\u5982\u679c\u7ec4\u7ec7\u4e0d\u613f\u627f\u62c5\u8fd9\u90e8\u5206\u6210\u672c\uff0c\u5c31\u53ea\u80fd\u628aAI\u53e0\u52a0\u5728\u65e7\u6d41\u7a0b\u4e0a\uff1a\u5458\u5de5\u66f4\u5feb\u751f\u4ea7\uff0c\u65e7\u5236\u5ea6\u7167\u5e38\u7b49\u5f85\u3002<\/p>\n<h2>\u7528\u6d41\u7a0b\u56fe\u627e\u5230\u771f\u6b63\u7684\u7b49\u5f85\u65f6\u95f4<\/h2>\n<p>\u7ec4\u7ec7\u53ef\u4ee5\u9009\u62e9\u4e00\u4e2a\u5177\u4f53\u7528\u4f8b\uff0c\u8bb0\u5f55\u4ece\u8bf7\u6c42\u8fdb\u5165\u5230\u7ed3\u679c\u5b8c\u6210\u7684\u6bcf\u4e00\u6b65\uff1a\u5b9e\u9645\u5de5\u4f5c\u65f6\u95f4\u3001\u6392\u961f\u65f6\u95f4\u3001\u4ea4\u63a5\u3001\u8fd4\u5de5\u548c\u6279\u51c6\u3002\u5e38\u89c1\u53d1\u73b0\u662f\uff0c\u6587\u5b57\u751f\u4ea7\u53ea\u5360\u603b\u5468\u671f\u7684\u4e00\u5c0f\u90e8\u5206\u3002<\/p>\n<p>\u7136\u540e\u51b3\u5b9aAI\u8282\u7701\u7684\u65f6\u95f4\u5e94\u600e\u6837\u6539\u53d8\u7cfb\u7edf\u3002\u53ef\u4ee5\u51cf\u5c11\u4ea4\u63a5\uff0c\u5408\u5e76\u91cd\u590d\u6279\u51c6\uff0c\u4e3a\u4f4e\u98ce\u9669\u4efb\u52a1\u8bbe\u5feb\u901f\u901a\u9053\uff0c\u628a\u5e38\u89c1\u68c0\u67e5\u81ea\u52a8\u5316\uff0c\u5e76\u9650\u5236\u65e0\u660e\u786e\u7528\u9014\u7684\u989d\u5916\u4ea7\u51fa\u3002<\/p>\n<p>\u91cd\u8981\u7684\u662f\u4e0d\u8981\u53ea\u8ba9\u74f6\u9888\u5c97\u4f4d\u201c\u4f7f\u7528\u66f4\u591aAI\u201d\u3002\u5982\u679c\u74f6\u9888\u6765\u81ea\u6388\u6743\u96c6\u4e2d\u3001\u76ee\u6807\u51b2\u7a81\u6216\u8d44\u6599\u4e0d\u53ef\u4fe1\uff0c\u751f\u6210\u66f4\u5feb\u7684\u5efa\u8bae\u65e0\u6d4e\u4e8e\u4e8b\u3002<\/p>\n<p>OECD\u5bf9\u751f\u6210\u5f0fAI\u751f\u4ea7\u7387\u7684\u5206\u6790\u540c\u6837\u5f3a\u8c03\uff0c\u4f01\u4e1a\u9700\u8981\u8c03\u6574\u7ec4\u7ec7\u3001\u6d41\u7a0b\u548c\u6218\u7565\u624d\u80fd\u5145\u5206\u83b7\u5f97\u6536\u76ca\u3002<a href=\"https:\/\/www.oecd.org\/content\/dam\/oecd\/en\/publications\/reports\/2025\/06\/the-effects-of-generative-ai-on-productivity-innovation-and-entrepreneurship_da1d085d\/b21df222-en.pdf\" target=\"_blank\" rel=\"noopener\">OECD\uff1a\u300aThe effects of generative AI on productivity, innovation and entrepreneurship\u300b<\/a><\/p>\n<h2>\u9650\u5236\u5728\u5236\u54c1\uff0c\u800c\u4e0d\u662f\u5956\u52b1\u65e0\u9650\u751f\u6210<\/h2>\n<p>\u5f53\u9a8c\u8bc1\u548c\u6279\u51c6\u80fd\u529b\u6709\u9650\uff0c\u56e2\u961f\u5e94\u9650\u5236\u540c\u65f6\u8fdb\u884c\u7684AI\u4ea7\u7269\u6570\u91cf\u3002\u5148\u5b8c\u6210\u548c\u91c7\u7528\u5df2\u6709\u5de5\u4f5c\uff0c\u518d\u542f\u52a8\u66f4\u591a\u5019\u9009\u3002<\/p>\n<p>\u8fd9\u53ef\u4ee5\u901a\u8fc7\u660e\u786e\u5165\u53e3\u6807\u51c6\u5b9e\u73b0\uff1a\u6bcf\u4efd\u5206\u6790\u5fc5\u987b\u5bf9\u5e94\u4e00\u4e2a\u51b3\u5b9a\u8005\u548c\u622a\u6b62\u65e5\u671f\uff1b\u6bcf\u4e2a\u8349\u7a3f\u5fc5\u987b\u8bf4\u660e\u6765\u6e90\u548c\u9884\u671f\u7528\u9014\uff1b\u6ca1\u6709\u590d\u6838\u5bb9\u91cf\u65f6\uff0c\u4e0d\u6279\u91cf\u751f\u6210\u4f4e\u4f18\u5148\u7ea7\u5185\u5bb9\u3002<\/p>\n<p>\u9650\u5236\u4ea7\u51fa\u542c\u8d77\u6765\u4e0eAI\u63d0\u9ad8\u6548\u7387\u76f8\u53cd\uff0c\u5b9e\u9645\u4e0a\u4fdd\u62a4\u4e86\u7aef\u5230\u7aef\u541e\u5410\u3002\u7ec4\u7ec7\u4e0d\u9700\u8981\u6700\u5927\u5316\u751f\u6210\uff0c\u5b83\u9700\u8981\u6700\u5927\u5316\u901a\u8fc7\u5168\u90e8\u5fc5\u8981\u6b65\u9aa4\u7684\u7ed3\u679c\u3002<\/p>\n<h2>\u91cd\u65b0\u5206\u914d\u51b3\u5b9a\u6743\u5f80\u5f80\u6bd4\u751f\u6210\u63d0\u901f\u66f4\u91cd\u8981<\/h2>\n<p>\u6709\u4e9b\u7b49\u5f85\u4e0d\u662f\u80fd\u529b\u4e0d\u8db3\uff0c\u800c\u662f\u51b3\u5b9a\u6743\u8bbe\u8ba1\u4e0d\u5408\u7406\u3002\u6240\u6709\u4f4e\u98ce\u9669\u4e8b\u9879\u90fd\u96c6\u4e2d\u5230\u4e00\u540d\u7ecf\u7406\u6279\u51c6\uff0c\u4f1a\u4f7f\u8fd9\u540d\u7ecf\u7406\u6210\u4e3a\u6c38\u4e45\u74f6\u9888\u3002AI\u53ef\u4ee5\u66f4\u5feb\u51c6\u5907\u6750\u6599\uff0c\u5374\u4e0d\u80fd\u81ea\u884c\u6539\u53d8\u6388\u6743\u5236\u5ea6\u3002<\/p>\n<p>\u7ec4\u7ec7\u53ef\u4ee5\u5206\u6790\u54ea\u4e9b\u51b3\u5b9a\u5fc5\u987b\u96c6\u4e2d\u3001\u54ea\u4e9b\u53ef\u4ee5\u5728\u660e\u786e\u6761\u4ef6\u4e0b\u6388\u6743\u7ed9\u66f4\u9760\u8fd1\u5de5\u4f5c\u7684\u4eba\u5458\u3002\u5bf9\u91d1\u989d\u4f4e\u3001\u53ef\u9006\u3001\u89c4\u5219\u6e05\u695a\u7684\u4e8b\u9879\u8bbe\u9884\u6388\u6743\u548c\u4e8b\u540e\u62bd\u6837\uff1b\u5bf9\u4f8b\u5916\u548c\u9ad8\u540e\u679c\u4e8b\u9879\u4fdd\u7559\u5347\u7ea7\u3002\u8fd9\u6837\u505a\u9700\u8981\u7ba1\u7406\u5c42\u63a5\u53d7\u4e0d\u518d\u9010\u9879\u63a7\u5236\uff0c\u5e76\u7528\u8fb9\u754c\u4e0e\u76d1\u63a7\u53d6\u4ee3\u5f62\u5f0f\u7b7e\u5b57\u3002<\/p>\n<p>\u540c\u65f6\u8981\u68c0\u67e5AI\u662f\u5426\u589e\u52a0\u4e86\u65b0\u7684\u201c\u51b3\u5b9a\u8bf7\u6c42\u201d\u3002\u5982\u679c\u7cfb\u7edf\u4e0d\u65ad\u751f\u6210\u5efa\u8bae\uff0c\u4f46\u6bcf\u6761\u5efa\u8bae\u90fd\u8981\u6c42\u7ba1\u7406\u8005\u9009\u62e9\uff0c\u539f\u6765\u7531\u5458\u5de5\u76f4\u63a5\u5b8c\u6210\u7684\u5c0f\u4e8b\u4f1a\u88ab\u5347\u7ea7\u4e3a\u65b0\u7684\u5ba1\u6279\u8d1f\u62c5\u3002\u597d\u7684\u8bbe\u8ba1\u4e0d\u4ec5\u81ea\u52a8\u751f\u4ea7\u9009\u9879\uff0c\u4e5f\u51cf\u5c11\u4e0d\u5fc5\u8981\u7684\u9009\u62e9\u3002<\/p>\n<p>\u7aef\u5230\u7aef\u6d41\u7a0b\u8fd8\u5e94\u8bbe\u7f6e\u670d\u52a1\u76ee\u6807\uff1a\u4ece\u8bf7\u6c42\u8fdb\u5165\u5230\u6700\u7ec8\u91c7\u7528\u7684\u65f6\u95f4\u3001\u7b49\u5f85\u8d85\u8fc7\u9608\u503c\u7684\u6570\u91cf\u3001\u8fd4\u5de5\u539f\u56e0\u548c\u5ba2\u6237\u7ed3\u679c\u3002\u53ea\u6709\u8fd9\u4e9b\u6307\u6807\u6539\u5584\uff0c\u5c40\u90e8\u8282\u7701\u624d\u771f\u6b63\u8fdb\u5165\u7ec4\u7ec7\u7ee9\u6548\u3002<\/p>\n<p>\u8fd8\u8981\u89c2\u5bdf\u8282\u7701\u4e0b\u6765\u7684\u65f6\u95f4\u5b9e\u9645\u53bb\u4e86\u54ea\u91cc\u3002\u5b83\u53ef\u80fd\u88ab\u91cd\u65b0\u6295\u5165\u66f4\u4ed4\u7ec6\u7684\u590d\u6838\u3001\u66f4\u65e9\u7684\u5ba2\u6237\u56de\u5e94\u548c\u771f\u6b63\u9700\u8981\u5224\u65ad\u7684\u4f8b\u5916\uff0c\u4e5f\u53ef\u80fd\u53ea\u662f\u53d8\u6210\u66f4\u591a\u4f1a\u8bae\u3001\u66f4\u591a\u8349\u7a3f\u548c\u66f4\u9ad8\u7684\u5373\u65f6\u56de\u5e94\u9884\u671f\u3002\u524d\u4e00\u79cd\u60c5\u51b5\u6269\u5927\u4e86\u7ec4\u7ec7\u80fd\u529b\uff0c\u540e\u4e00\u79cd\u60c5\u51b5\u53ea\u662f\u628a\u5de5\u4f5c\u5bc6\u5ea6\u63a8\u9ad8\u3002\u56e0\u800c\uff0cAI\u6536\u76ca\u8bc4\u4f30\u4e0d\u80fd\u53ea\u8bb0\u5f55\u201c\u6bcf\u9879\u4efb\u52a1\u8282\u7701\u51e0\u5206\u949f\u201d\uff0c\u8fd8\u5e94\u8bb0\u5f55\u91c7\u7528\u7387\u3001\u7b49\u5f85\u65f6\u95f4\u3001\u8fd4\u5de5\u3001\u5de5\u4f5c\u65e5\u5ef6\u957f\u548c\u5458\u5de5\u80fd\u5426\u628a\u8282\u7701\u8f6c\u5316\u4e3a\u66f4\u6709\u4ef7\u503c\u7684\u5de5\u4f5c\u3002<\/p>\n<h2>\u7ed3\u8bba\uff1a\u91cd\u65b0\u8bbe\u8ba1\u6d41\u52a8\uff0c\u800c\u4e0d\u53ea\u662f\u52a0\u901f\u52a8\u4f5c<\/h2>\n<p>\u4e2a\u4eba\u901f\u5ea6\u63d0\u9ad8\u503c\u5f97\u627f\u8ba4\uff0c\u5b83\u53ef\u80fd\u51cf\u5c11\u52a0\u73ed\u5e76\u6539\u5584\u5de5\u4f5c\u4f53\u9a8c\u3002\u4f46\u7ec4\u7ec7\u8981\u66f4\u5feb\uff0c\u5fc5\u987b\u6539\u53d8\u5de5\u4f5c\u600e\u6837\u4ece\u4e00\u4e2a\u89d2\u8272\u6d41\u5411\u53e6\u4e00\u4e2a\u89d2\u8272\u3002<\/p>\n<p>\u6700\u7ec8\u5224\u65ad\u662f\uff1a<\/p>\n<blockquote>\n<p>AI\u53ea\u6709\u5728\u7f29\u77ed\u7aef\u5230\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href=\"https:\/\/www.nber.org\/papers\/w33795\" target=\"_blank\" rel=\"noopener\">NBER\uff1aShifting Work Patterns with Generative AI<\/a><\/li>\n<li><a href=\"https:\/\/www.nber.org\/papers\/w33536\" target=\"_blank\" rel=\"noopener\">NBER\uff1aAI and the Extended Workday<\/a><\/li>\n<li><a href=\"https:\/\/www.nber.org\/papers\/w25148\" target=\"_blank\" rel=\"noopener\">NBER\uff1aThe Productivity J-Curve<\/a><\/li>\n<li><a href=\"https:\/\/www.oecd.org\/content\/dam\/oecd\/en\/publications\/reports\/2025\/06\/the-effects-of-generative-ai-on-productivity-innovation-and-entrepreneurship_da1d085d\/b21df222-en.pdf\" target=\"_blank\" rel=\"noopener\">OECD\uff1aThe effects of generative AI on productivity, innovation and entrepreneurship<\/a><\/li>\n<\/ul>\n<p><strong>\u7ee7\u7eed\u9605\u8bfb\uff1a<\/strong><a href=\"https:\/\/geoffreychen.com\/zh\/category\/ai-frontiers\/after-ai-enters-the-workflow\/\">\u6d4f\u89c8\u300aAI\u8fdb\u5165\u5de5\u4f5c\u4e4b\u540e\u300b\u7cfb\u5217\u6587\u7ae0<\/a><\/p>\n<p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":17897162,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_geoff_meta_description_en":"When AI speeds up drafting, why doesn\u2019t organisational delivery improve? The article argues organisational speed depends on bottlenecks, approvals and end-to-end flow.","_geoff_meta_description_zh":"\u6587\u7ae0\u6307\u51faAI\u8ba9\u8d77\u8349\u66f4\u5feb\u5374\u4e0d\u5fc5\u7136\u63d0\u5347\u7ec4\u7ec7\u4ea4\u4ed8\uff1a\u7ec4\u7ec7\u901f\u5ea6\u53d6\u51b3\u4e8e\u74f6\u9888\u3001\u5ba1\u6279\u4e0e\u7aef\u5230\u7aef\u6d41\u8f6c\uff0c\u800c\u975e\u4ec5\u770b\u4e2a\u4eba\u4ea7\u51fa\u3002","_wpcom_ai_launchpad_first_post":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[787296333],"tags":[787296336,787295831,787295830,787296338,787296399,787296367,787296398,787296368],"class_list":["post-16788","post","type-post","status-publish","format-standard","hentry","category-after-ai-enters-the-workflow","tag-after-ai-enters-the-workflow","tag-ai-productivity","tag-ai-productivity-zh","tag-after-ai-enters-the-workflow-zh","tag-organisational-bottlenecks-zh","tag-from-personal-tool-to-organisational-capability","tag-organisational-bottlenecks","tag-from-personal-tool-to-organisational-capability-zh",""],"translatepress_titles":{"en_AU":"If Everyone Works Faster with AI, Why Hasn\u2019t the Organisation Become Faster?","zh_CN":"\u6bcf\u4e2a\u4eba\u90fd\u66f4\u5feb\u4e86\uff0c\u4e3a\u4ec0\u4e48\u6574\u4e2a\u7ec4\u7ec7\u6ca1\u6709\u66f4\u5feb\uff1f"},"jetpack_publicize_connections":[],"jetpack_likes_enabled":false,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p1ar9H-4mM","jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/posts\/16788","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/users\/17897162"}],"replies":[{"embeddable":true,"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/comments?post=16788"}],"version-history":[{"count":0,"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/posts\/16788\/revisions"}],"wp:attachment":[{"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/media?parent=16788"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/categories?post=16788"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geoffreychen.com\/zh\/wp-json\/wp\/v2\/tags?post=16788"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}