[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcioc060ec73":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":77},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcioc060ec73","真实案例，AI反常识的现象出现在社会","\u002Fdoc\u002Fdcioc060ec73","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">案例\u003C\u002Fspan>1\u003Cspan style=\"font-family: DengXian;\">：在波士顿咨询集团对\u003C\u002Fspan> 1488 \u003Cspan style=\"font-family: DengXian;\">名全职员工的调查中，一个打破常识的现象浮出水面：同时使用\u003C\u002Fspan> 3 \u003Cspan style=\"font-family: DengXian;\">个以上\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">工具后，员工的生产力不仅没有提升，反而出现了骤降。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">因为缺乏系统培训的\u003C\u002Fspan> FOBO \u003Cspan style=\"font-family: DengXian;\">转型，让\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">变成了一只榨干人精力的吸血鬼。当我们被迫使用大量\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">工具时，需要耗费额外的精力去阅读、核对和解释\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">生成的内容。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">这些因素，最终导致了接受调查的员工，脑力消耗增加了\u003C\u002Fspan> 14%\u003Cspan style=\"font-family: DengXian;\">，决策疲劳增加了\u003C\u002Fspan> 33%\u003Cspan style=\"font-family: DengXian;\">，信息过载增加了\u003C\u002Fspan> 19%\u003Cspan style=\"font-family: DengXian;\">；而经历着「\u003C\u002Fspan>AI \u003Cspan style=\"font-family: DengXian;\">脑力煎熬」的员工，离职意愿上升了近\u003C\u002Fspan> 10%\u003Cspan style=\"font-family: DengXian;\">。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-family: DengXian; font-size: large;\">高管们想要的高效没有到来，等来的却是一个个因为认知超载而想要逃离的打工人。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">案例\u003C\u002Fspan>2\u003Cspan style=\"font-family: DengXian;\">：全球\u003C\u002Fspan>“\u003Cspan style=\"font-family: DengXian;\">四大\u003C\u002Fspan>”\u003Cspan style=\"font-family: DengXian;\">会计师事务所之一的安永（\u003C\u002Fspan>Ernst & Young\u003Cspan style=\"font-family: DengXian;\">，简称\u003C\u002Fspan>EY\u003Cspan style=\"font-family: DengXian;\">）全球首席创新官\u003C\u002Fspan> Joe Depa \u003Cspan style=\"font-family: DengXian;\">在描述内部\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">采用数据时，说出了一个让人不太舒服的观察。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">AI \u003Cspan style=\"font-family: DengXian;\">工具在\u003C\u002Fspan> EY \u003Cspan style=\"font-family: DengXian;\">内部的采用率，呈现出明显的代际分化：初级员工采用率高，资深员工采用率低。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">「他们的态度是，我自己能做得更好，所以我不需要这个工具。」\u003C\u002Fspan>Depa \u003Cspan style=\"font-family: DengXian;\">说，「他们曾经是最顶尖的那批人。现在，他们在同事里排名垫底。」\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">The Information \u003Cspan style=\"font-family: DengXian;\">报道\u003C\u002Fspan> Meta \u003Cspan style=\"font-family: DengXian;\">公司内部有专门用于衡量员工\u003C\u002Fspan> Token \u003Cspan style=\"font-family: DengXian;\">消耗情况的排行榜。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">与此同时，另一批员工的生产力是去年的\u003C\u002Fspan> 10 \u003Cspan style=\"font-family: DengXian;\">倍、\u003C\u002Fspan>20 \u003Cspan style=\"font-family: DengXian;\">倍。同样的公司，同样的职级，同样的年资，因为是否使用\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">工具，绩效出现了悬崖式分化。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">案例\u003C\u002Fspan>3\u003Cspan style=\"font-family: DengXian;\">：\u003C\u002Fspan>Gallup \u003Cspan style=\"font-family: DengXian;\">和\u003C\u002Fspan> Lumina Foundation \u003Cspan style=\"font-family: DengXian;\">联合调查了约\u003C\u002Fspan> 3800 \u003Cspan style=\"font-family: DengXian;\">名在校大学生，发现\u003C\u002Fspan> 47% \u003Cspan style=\"font-family: DengXian;\">的人「认真考虑过」因为\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">对就业市场的影响而换专业，其中\u003C\u002Fspan> 16% \u003Cspan style=\"font-family: DengXian;\">已经换了。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">这个比例本身已经很高。但更值得注意的是恐慌程度的分布：考虑换专业意愿最强烈的，人文、医疗、自然科学专业的学生都只占少数，科技专业和职业技术专业的学生却各有约\u003C\u002Fspan> 70% \u003Cspan style=\"font-family: DengXian;\">表示认真动摇过。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">也就是说，离\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">最近的那批人，反而是最想跑路的那批人。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">ImageAI \u003Cspan style=\"font-family: DengXian;\">正在影响许多大学生对未来学业规划的思考。\u003C\u002Fspan>42% \u003Cspan style=\"font-family: DengXian;\">的本科生表示，\u003C\u002Fspan>AI \u003Cspan style=\"font-family: DengXian;\">促使他们认真考虑过更换专业，其中\u003C\u002Fspan> 13% \u003Cspan style=\"font-family: DengXian;\">的人表示他们对此进行了深入思考。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">根据美股投资网获悉，年轻人正在从容易被\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">自动化的传统编程领域，逃向需要人类同理心，或物理操作的蓝海。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">22 \u003Cspan style=\"font-family: DengXian;\">岁的莱德在看到\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">的进化速度后，毅然从计算机科学专业退学，转而去技校学习成为一名电工。「起初我还在否认，但最终我不得不面对现实。」他在接受\u003C\u002Fspan> WSJ \u003Cspan style=\"font-family: DengXian;\">采访时这样说。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">电工确实是很现实的选择，前段时间\u003C\u002Fspan> Andrej Karpathy \u003Cspan style=\"font-family: DengXian;\">把美国所有工作按照\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">曝光度做了一次排名，电工成了那些被裁掉的人最稳妥的出路之一：目前可观的年收入，加上未来能参与建设大量的数据中心。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">这种理工科学生更想换专业的反转，似乎有它的逻辑。因为科技专业学生对\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">的理解更深，他们对「哪些任务会被替代」的判断也更具体、更真实。很明显的现实，写代码、做数据、跑流程，这些他们正在学的东西，\u003C\u002Fspan>AI \u003Cspan style=\"font-family: DengXian;\">已经能做了。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">但\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">的能力不是突然降临在某一类职业上，然后让这类职业整体消失的。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Image\u003Cspan style=\"font-family: DengXian;\">学生的偏好正在从\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">更容易自动化的岗位，例如传统编程等，转向与\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">本身创造更紧密相关的专业，例如软件工程和人工智能相关专业。\u003C\u002Fspan>AI \u003Cspan style=\"font-family: DengXian;\">专业的兴趣在\u003C\u002Fspan> 2025 \u003Cspan style=\"font-family: DengXian;\">年至\u003C\u002Fspan> 2026 \u003Cspan style=\"font-family: DengXian;\">年间增长了\u003C\u002Fspan> 1.7 \u003Cspan style=\"font-family: DengXian;\">个百分点。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">调查数据也显示，对「传统编程」感兴趣的学生在减少，但对「\u003C\u002Fspan>AI \u003Cspan style=\"font-family: DengXian;\">开发」和「软件工程」感兴趣的学生在增加。学生们并没有集体逃离科技，他们在科技内部做位移，从「被替代的那种技能」向「驾驭替代者的技能」移动。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">\u003Cspan style=\"font-family: DengXian;\">这是相对理性的\u003C\u002Fspan> FOBO\u003Cspan style=\"font-family: DengXian;\">。但\u003C\u002Fspan> 70% \u003Cspan style=\"font-family: DengXian;\">里有多少人是做了这种判断之后决定留下并转向，又有多少人只是在恐慌，然后用一种看似「倒退」的方式，想要为自己筑起一道防备\u003C\u002Fspan> AI \u003Cspan style=\"font-family: DengXian;\">的护城河。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003C\u002Fp>","https:\u002F\u002Fwww.tradesmax.com\u002Fimages\u002Fa_Stock\u002FA\u002FAI\u002FAI.jpg","2026-05-06T05:34:56","2026.05.06","2026\u002F05\u002F06",37051,[22],"AI","Article",0,"免费","success",{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":28,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},[22],"\u002Fcol\u002Fstocknews",{"visible":5,"marketingHtml":31,"services":32,"recentDocuments":41},"\u003Cfigure class=\"image\">\u003Ca href=\"https:\u002F\u002Fstockwe.com\u002Fdoc\u002Fdcio537efad5\" 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href=\"https:\u002F\u002Fstockwe.com\u002Fdoc\u002Fdcio537efad5\">案例介绍：英伟达深度研究报告\u003C\u002Fa>\u003C\u002Fh2>\u003C\u002Fdiv>",[33,37],{"productId":34,"serviceName":35,"priceText":36},"prod_PPxdDdK87QaiLv","月付","$12.95美元",{"productId":38,"serviceName":39,"priceText":40},"prod_PPxeMs3bix1da5","年付","$149.00美元",[],{"links":43,"images":68,"summaryHtml":73,"aboutTitle":74,"aboutHtml":75,"copyrightHtml":76},[44,47,50,53,56,59,62,65],{"label":45,"url":46},"深度报告","\u002Fcol\u002FdepthReport",{"label":48,"url":49},"VIP会员","\u002Fplan",{"label":51,"url":52},"期权推荐","\u002FOption",{"label":54,"url":55},"低价暴涨股","\u002FPenny",{"label":57,"url":58},"常见问题","https:\u002F\u002Fstockwe.com\u002FFAQ",{"label":60,"url":61},"美股课程","\u002Fcol\u002Fvideos",{"label":63,"url":64},"免责声明","\u002Fdisclaimer",{"label":66,"url":67},"联系我们","\u002FContactUs",[69,70,71,72],"https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploaderzic2tuwsol2_2025_09_11_18_21_07.gif","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploadercakzdvydksw_2025_09_03_09_00_56.png","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploadergtjyagwvoyk_2025_09_14_08_32_05.png","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202509-stk\u002FUploader3u0tt4jhlqh_2025_09_23_22_30_48.png","邮箱: buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 StockWe.com 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理千万级股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，精准买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":78,"search":79,"searchPlaceholder":79,"hotContent":80,"draft":81,"noData":82,"searchNoData":83,"edit":84,"editVideo":85,"courseContent":86,"more":87,"buyNow":88,"subscribeNow":89,"encoding":90,"paidContent":91},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","编辑","编辑视频","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]