[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio8df708c7":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},"dcio8df708c7","AI时代，一个被市场严重低估的行业 “发电工”","\u002Fdoc\u002Fdcio8df708c7","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>AI时代，一个被市场严重低估的行业“发电工”\u003C\u002Fp>\u003Cp>仅美国，为了支撑AI基础设施：\u003C\u002Fp>\u003Cp>需要新增约 30万发电相关岗位\u003C\u002Fp>\u003Cp>需要新增约 20万电网岗位！\u003C\u002Fp>\u003Cfigure class=\"image\">\u003Cimg style=\"aspect-ratio:1080\u002F608;\" src=\"https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202604-stk\u002F1223394630f6653247cd901e4a91dcc0ca7c647a36.png\" width=\"1080\" height=\"608\">\u003C\u002Ffigure>\u003Cp>一、AI的瓶颈，根本不在芯片，而是在电力，\u003C\u002Fp>\u003Cp>但问题来了：\u003C\u002Fp>\u003Cp>👉一个合格电工，需要训练4年\u003C\u002Fp>\u003Cp>👉现在根本没人\u003C\u002Fp>\u003Cp>二、AI正在吞噬整个电力系统\u003C\u002Fp>\u003Cp>美股投资网研究发现，一个关键数据：\u003C\u002Fp>\u003Cp>到2030年，全球数据中心的用电量\u003C\u002Fp>\u003Cp>将增长220%。\u003C\u002Fp>\u003Cp>这是什么概念？\u003C\u002Fp>\u003Cp>相当于——地球上突然多出一个“超级用电国家”。\u003C\u002Fp>\u003Cp>而更可怕的是：\u003C\u002Fp>\u003Cp>这不是终点。\u003C\u002Fp>\u003Cp>三、真正的需求爆炸点：AI开始“自己用AI”\u003C\u002Fp>\u003Cp>过去，AI的使用是：\u003C\u002Fp>\u003Cp>人 → AI\u003C\u002Fp>\u003Cp>但未来的结构是：\u003C\u002Fp>\u003Cp>AI → AI\u003C\u002Fp>\u003Cp>也就是所谓的：\u003C\u002Fp>\u003Cp>Agent系统（智能体）\u003C\u002Fp>\u003Cp>这些系统会：\u003C\u002Fp>\u003Cp>自动调用模型\u003C\u002Fp>\u003Cp>自动生成任务\u003C\u002Fp>\u003Cp>自动执行计算\u003C\u002Fp>\u003Cp>结果就是：\u003C\u002Fp>\u003Cp>👉算力需求不再由人类控制，而是机器自我放大\u003C\u002Fp>\u003Cp>一句话总结：\u003C\u002Fp>\u003Cp>AI不再是工具，而是一个“耗电机器生态”。\u003C\u002Fp>\u003Cp>四、为什么电力突然不够了？\u003C\u002Fp>\u003Cp>很多人以为：AI训练最耗电，部署（推理）很省电。\u003C\u002Fp>\u003Cp>现实是：\u003C\u002Fp>\u003Cp>完全相反。\u003C\u002Fp>\u003Cp>现在的趋势是：\u003C\u002Fp>\u003Cp>推理越来越复杂\u003C\u002Fp>\u003Cp>请求越来越多\u003C\u002Fp>\u003Cp>系统越来越自动化\u003C\u002Fp>\u003Cp>结果：\u003C\u002Fp>\u003Cp>👉 AI用电是“持续增长”，而不是一次性消耗\u003C\u002Fp>\u003Cp>五、更现实的问题：时间不等人\u003C\u002Fp>\u003Cp>电网建设周期：\u003C\u002Fp>\u003Cp>👉 3–5年\u003C\u002Fp>\u003Cp>电工培养周期：\u003C\u002Fp>\u003Cp>👉 4年\u003C\u002Fp>\u003Cp>但AI的增长周期：\u003C\u002Fp>\u003Cp>👉按季度计算\u003C\u002Fp>\u003Cp>这意味着什么？\u003C\u002Fp>\u003Cp>👉供给永远追不上需求\u003C\u002Fp>\u003Cp>六、已经发生的变化（很多人没注意）\u003C\u002Fp>\u003Cp>现在科技巨头已经开始做一件事：\u003C\u002Fp>\u003Cp>👉自己发电\u003C\u002Fp>\u003Cp>比如：\u003C\u002Fp>\u003Cp>数据中心直接接天然气发电\u003C\u002Fp>\u003Cp>使用“behind-the-meter”自供电\u003C\u002Fp>\u003Cp>哪怕效率更低，成本更高，\u003C\u002Fp>\u003Cp>也必须做。\u003C\u002Fp>\u003Cp>因为：\u003C\u002Fp>\u003Cp>👉时间比效率更重要\u003C\u002Fp>","https:\u002F\u002Fstockwebsiteblob.blob.core.windows.net\u002Fweb-202604-stk\u002FUploadertlc30risrf5_2026_04_02_18_35_26.png","2026-04-03T01:33:26.943","2026.04.03","2026\u002F04\u002F03",33180,[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 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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"]