[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio0c686f66":3},{"user":4,"document":8,"mainDocument":29,"columnUrl":31,"subscription":32,"footer":44,"text":79},{"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":25,"videoId":6,"liveVideoUrl":6,"duration":26,"price":26,"priceText":27,"priceBadgeText":27,"priceBadgeClass":28,"freeForMinGroupLevel":26,"redirectUrl":6,"readyToStream":5},"dcio0c686f66","Deepseek冲击下，高盛给AI热潮泼冷水：全球数据中心泡沫？","\u002Fdoc\u002Fdcio0c686f66","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>从超低成本的DeepSeek对标ChatGPT的发布，到微软在全球范围内缩减 AI 数据中心项目，再到阿里巴巴董事长蔡崇信公开警告：美国正在步入 AI 基础设施投资的&ldquo;泡沫期&rdquo;&mdash;&mdash;过去几个月，种种信号都在预示着：AI数据中心的繁荣，或许即将迎来降温。\u003C\u002Fp>\n\u003Cp>据高盛最新报告，自 1 月 DeepSeek 发布以来，其&ldquo;能源+AI&rdquo;主题投资组合已持续走弱，反映出市场对 AI 基建板块的预期正在系统性修正。\u003C\u002Fp>\n\u003Cfigure class=\"image\" data-img-size-val=\"1043,399\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20250411\u002Fv2_b245e48179474f81bd3cf39c02c49893@5576020_oswg77412oswg1043oswg399_img_000\">\u003C\u002Ffigure>\n\u003Cp>华尔街分析师普遍认为，随着更高效的大语言模型（LLM）不断推出，行业正在形成一个全新的趋势：&ldquo;用更少资源做更多事&rdquo;（do more with less）。这一趋势不仅冲击了对高算力、大带宽、大电力需求的传统假设，也促使机构投资者重新评估 AI 基础设施扩张的节奏和边际回报。\u003C\u002Fp>\n\u003Cp>高盛分析师 James Schneider 向客户表示，他已根据 DeepSeek 的发布、以及 OpenAI Stargate 等新增产能项目，对全球数据中心的供需模型进行了重大更新。结果显示：\u003C\u002Fp>\n\u003Cp>原本预计在 2026 年底出现的全球数据中心产能峰值，如今被提前至 2025 年；\u003C\u002Fp>\n\u003Cp>从现在起至 2027 年，供需紧张状况将逐步缓解，但数据中心的平均占用率仍将维持在高于历史均值的水平。\u003C\u002Fp>\n\u003Cp>Schneider 指出，AI 数据中心面临三大核心不确定性：\u003C\u002Fp>\n\u003Cp>面向普通用户的 AI 服务商业化能力不足；\u003C\u002Fp>\n\u003Cp>大规模基建投资可能导致供给过剩；\u003C\u002Fp>\n\u003Cp>越来越多面向企业的小型 LLM（大语言模型）带来了更高的使用效率。\u003C\u002Fp>\n\u003Cp>以下是高盛更新数据中心预测模型的具体原因：\u003C\u002Fp>\n\u003Cp>在需求端，全球科技团队最近下调了 AI 训练服务器的出货量预期，这意味着整体 AI 训练需求将以更温和的节奏增长。同时，随着 AI 推理（inference）的普及，数据中心的负载也在发生结构性变化。因此，分析师下调了 2025 和 2026 年与 AI 高度相关的需求增长预测。\u003C\u002Fp>\n\u003Cp>此外，他们还对历史数据做了微调，虽然历史需求基准略有提高，但未来 18 个月的新增需求被整体下调，而 2027 年及以后的趋势则基本维持不变。\u003C\u002Fp>\n\u003Cp>在供给端，高盛引用的主要数据来源之一&mdash;&mdash;S&amp;P Global 旗下的 451 Research 更新了数据中心供给的历史和预测数据。高盛据此调整了模型，将 2024 年底上线的实际产能，以及此前未被纳入的小型运营商数据也计算在内。这导致历史基准供给增加约 2GW。同时，由于近期验证的一些新增项目，他们将 2030 年的数据中心供给预期上调了约 8%。\u003C\u002Fp>\n\u003Cfigure class=\"image\" data-img-size-val=\"738,498\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20250411\u002Fv2_28ab8e7d78e74386a64dcd3650576ff3@5576020_oswg43829oswg738oswg498_img_000\">\u003C\u002Ffigure>\n\u003Cfigure class=\"image\" data-img-size-val=\"738,498\">\u003Cimg src=\"https:\u002F\u002Fimg.36krcdn.com\u002Fhsossms\u002F20250411\u002Fv2_d3376c28761442c0bfe4d8c98edf0853@5576020_oswg43829oswg738oswg498_img_000\">\u003C\u002Ffigure>\n\u003Cp>值得注意的是，虽然模型预测有所修正，但高盛依然看好数据中心运营商，如 Digital Realty（DLR）和 Equinix（EQIX），指出在 AI 需求更趋理性之后，这些公司的风险收益比反而更加均衡。\u003C\u002Fp>\n\u003Cp>从市场表现来看，自 1 月 DeepSeek 发布以来，高盛追踪的&ldquo;电力概念股篮子&rdquo;和&ldquo;AI 概念股篮子&rdquo;整体呈下行趋势。那么，AI 投资热还能走多远？高盛针对客户做了一次快速调查：2025 年 AI 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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":80,"search":81,"searchPlaceholder":81,"hotContent":82,"draft":83,"noData":84,"searchNoData":85,"edit":86,"editVideo":87,"courseContent":88,"more":89,"buyNow":90,"subscribeNow":91,"encoding":92,"paidContent":93},"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"]