[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fZGYMCkiT-30zIU5qirMOgvmi40QgXqF-2IxIvnpNFbg":3},{"code":4,"msg":5,"data":6},200,"操作成功",{"id":7,"title":8,"content":9,"digest":10,"source":10,"coverPath":11,"thumbsCoverPath":12,"isTop":13,"isShow":14,"baseClick":13,"clickCount":15,"createTime":16,"typeId":17,"isNewest":18,"newsInfoTypeRespVo":19,"voiceUrl":22,"voiceSize":23,"taskId":24,"releaseTime":25,"titleEn":26,"contentEn":27,"voiceUrlEn":28,"taskIdEn":29,"voiceSizeEn":30},1260,"企业已向生成式 AI投资大量资金，但95%的回报为零","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">尽管企业在生成式人工智能（AI）领域投入了高达300亿至400亿美元的资金，但最新的麻省理工学院(MIT)报告显示，95% 的组织并未从中获得任何回报。这一数据引发了人们对 AI 投资效果的深刻思考。\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\t\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">该报告指出，只有5% 的集成人工智能试点项目能够 “创造出数百万美元的价值”，而大多数企业在使用这些技术后，并未见到显著的利润增长。许多公司正在实施像 OpenAI 的 ChatGPT 和微软的 Copilot 等工具，目前超过80% 的企业已经探索或试点了这些技术，接近40% 的企业表示已经开始部署。然而，这些工具主要是用于提升个人的工作效率，而不是直接提升公司的整体收益。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">报告分析了企业在整合 AI 技术时所面临的挑战，指出大多数情况下，AI 的整合未能对利润产生贡献，原因在于工作流程脆弱、缺乏情境学习以及与日常操作不一致等问题。AI 系统无法像人类那样进行学习和思考，因为大多数生成式 AI 系统不具备反馈保留、情境适应或逐步改进的能力。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">不过，研究还表明，短期内生成式 AI 的实施不太可能导致大规模的失业。“在 AI 系统实现情境适应和自主操作之前，组织的影响将主要通过外部成本优化体现，而不是内部重组，” 报告总结道。\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">【新闻来源】\u003C\u002Fspan>\u003Cspan style=\"color: rgb(187, 187, 187); font-size: 14px;\">AIbase \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20701\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20701\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（本网转发此文章，旨在为读者提供更多的信息资讯，所涉内容不构成投资、消费建议。文章事实如有疑问，请与有关方核实，文章观点非本网观点，仅供读者参考。）\u003C\u002Fspan>\u003C\u002Fp>","","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002F19f87781e85748bc93b051277ecc23ca\u002FAI领域.jpg","https:\u002F\u002Fimage.51xinwei.com\u002F2025\u002F08\u002Fthumbs\u002F19f87781e85748bc93b051277ecc23ca\u002FAI领域.jpg",0,1,212,"2025-08-21 19:31",2,false,{"id":17,"name":20,"enName":21},"芯位视野","Xinwei Vision","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3Aeb4137a1-756e-48b3-a6c5-fc4f9577359a%3A0.wav?Expires=1755780098&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=cX%2BfiLHT8xN%2FoMlDe695MqFaIE4%3D",2996264,"eb4137a1-756e-48b3-a6c5-fc4f9577359a","2025-08-21 19:29","Companies have invested heavily in generative AI, but 95% of the returns are zero","\u003Cp>\u003Cstrong class=\"ql-lineHeight-1-75\" style=\"font-size: 18px; color: rgb(255, 153, 0);\">Despite investing up to $3 billion to $4 billion in generative artificial intelligence (AI), a new MIT report shows that 95% of organizations have not received any return from it. This data has sparked deep reflection on the effectiveness of AI investments.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">\t\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The report indicates that only 5% of integrated AI pilot projects can \"create value of millions of dollars,\" while most companies did not see significant profit growth after using these technologies. Many companies are implementing tools such as OpenAI's ChatGPT and Microsoft's Copilot. Currently, more than 80% of companies have explored or piloted these technologies, with nearly 40% of companies stating that they have already started deploying them. However, these tools are mainly used to enhance individual work efficiency rather than directly increasing the company's overall profits.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">The report analyzes the challenges companies face when integrating AI technology, pointing out that in most cases, the integration of AI does not contribute to profits due to issues such as fragile workflows, lack of contextual learning, and inconsistency with daily operations. AI systems cannot learn and think like humans because most generative AI systems lack the ability to retain feedback, adapt to context, or improve step by step.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"font-size: 18px;\" class=\"ql-lineHeight-1-75\">However, the study also shows that the implementation of generative AI in the short term is unlikely to cause large-scale unemployment. \"Before AI systems achieve contextual adaptation and autonomous operation, the impact of organizations will be reflected mainly through external cost optimization rather than internal restructuring,\" the report concluded.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(187, 187, 187);\">[News Source]\u003C\u002Fspan>\u003Cspan style=\"color: rgb(187, 187, 187); font-size: 14px;\">AIbase \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20701\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(187, 187, 187);\">https:\u002F\u002Fnews.aibase.com\u002Fzh\u002Fnews\u002F20701\u003C\u002Fa>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(187, 187, 187);\">（This article is reprinted by this site to provide readers with more information and news. The content involved does not constitute investment or consumption advice. If there are any questions about the facts of the article, please verify with the relevant parties. The views of the article are not the views of this site and are for reference only.)\u003C\u002Fspan>\u003C\u002Fp>","https:\u002F\u002Fxinwei-dev-test.oss-cn-shenzhen.aliyuncs.com\u002Fintelligent\u002Faudio%3A0f052b59-041c-43ed-af0c-8fadf91cc290%3A0.wav?Expires=1774838489&OSSAccessKeyId=LTAI5tNvY2RkKjZw4LLWsrPK&Signature=SOyA2kYWbupBs4vjxrP04iROAJs%3D","0f052b59-041c-43ed-af0c-8fadf91cc290",3754496]