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盲人摸大象
盲人摸大象
·
05-01
1
AI资本开支分化：英伟达仍是核心，但不再是唯一答案
英伟达仍是最大赢家，但股价不再只看订单四大巨头Capex继续抬升，按理说最直接利好英伟达。英伟达最新财年第四季度收入681亿美元，同比增长73%；数据中心收入623亿美元，同比增长75%；2026财年全年收入2159亿美元，同比增长65%。英伟达75%左右的毛利率，是AI芯片周期最核心的利润池。第四是资本开支回报。这也是为什么英伟达仍然是AI周期核心，却不再是“买了就完事”的标的。
AI资本开支分化：英伟达仍是核心，但不再是唯一答案
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盲人摸大象
盲人摸大象
·
03-25
[强]
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盲人摸大象
盲人摸大象
·
03-20
1
黄仁勋即中本聪
2026年3月，我坐在 NVIDIA GTC 会场里，听了黄仁勋一场几乎没有带货的主题演讲。而黄仁勋在 GTC 2026的舞台上，做了一件结构上一模一样的事。这张图几乎可以当作黄仁勋 “token 经济学” 的白皮书封面。中本聪和黄仁勋都没有直接生产 token，他们定义的都是 token 的生产规则和定价机制。而黄仁勋，用物理定律制造了天然稀缺。但无论是中本聪还是黄仁勋，他们创造的稀缺性都导致了同一个结果：硬件军备竞赛。
黄仁勋即中本聪
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盲人摸大象
盲人摸大象
·
03-20
很有可能啊🤔
伊朗战争会是“美国金融危机”导火索吗？
霍尔木兹海峡封锁切断石油美元循环，每年数千亿中东资本或从AI产业链上撤离；与此同时，规模1.8万亿美元的美国私募信贷火药桶已从内部点燃——贝莱德冻结赎回、Apollo高管坦言贷款"能收回20美分就不错"。当战争从"四周速决"蔓延为第五个月，三重危机正向同一个引爆点狂奔。
伊朗战争会是“美国金融危机”导火索吗？
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盲人摸大象
盲人摸大象
·
03-20
1
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盲人摸大象
盲人摸大象
·
03-19
1
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盲人摸大象
盲人摸大象
·
03-19
[强] [强] [强]
黄仁勋：有信心达成1万亿美元收入预判
南方财经3月18日电，当地时间3月17日，英伟达CEO黄仁勋在接受采访时表示，他提到的2025年至2027年收入1万亿美元的预判，只包含Blackwell和Rubin芯片的收入，不包含CPU等多元业务的收入。英伟达对这1万亿美元的收入预判是来自这部分业务的能见度和采购订单，英伟达对此有信心。
黄仁勋：有信心达成1万亿美元收入预判
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盲人摸大象
盲人摸大象
·
03-19
1
马斯克：SpaceX AI 和特斯拉预计将大规模持续订购英伟达芯片
ChainCatcher 消息，马斯克表示，SpaceX AI 和特斯拉 (TSLA.O) 预计将大规模持续订购英伟达 (NVDA.O) 芯片。
马斯克：SpaceX AI 和特斯拉预计将大规模持续订购英伟达芯片
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盲人摸大象
盲人摸大象
·
03-19
1
异动解读 | 美联储政策压制及白银期货跳水，2倍做多白银ETF盘前大跌11.27%
2倍做多白银ETF-ProShares（AGQ）今日盘前股价大跌11.27%，引起了市场的广泛关注。消息面上，此次下跌主要受到白银期货价格大幅走弱的拖累。美联储在近期会议上宣布维持利率不变，且降息预期进一步收敛，对金银等贵金属价格形成压制。同时，中东地缘冲突持续发酵，市场情绪偏向谨慎，加剧了白银的抛售压力。作为追踪白银价格并带有两倍杠杆的ETF，AGQ的波动幅度被显著放大。隔夜交易中，COMEX白银期货价格一度下跌超7%，现货白银也大幅下挫，直接导致了该杠杆ETF的剧烈下跌。
异动解读 | 美联储政策压制及白银期货跳水，2倍做多白银ETF盘前大跌11.27%
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盲人摸大象
盲人摸大象
·
03-19
1
异动解读 | 2倍做多黄金ETF盘前大跌5.14%，受美联储鹰派立场及中东冲突打压
2倍做多黄金ETF-ProShares今日盘前股价大跌5.14%，引起了市场的广泛关注。消息面上，此次下跌主要受到多重因素影响。首先，美联储在最新议息会议上宣布维持利率不变，且点阵图显示决策者预计今年仅会降息一次，释放出偏鹰派的信号，这削弱了黄金作为无息资产的吸引力。
异动解读 | 2倍做多黄金ETF盘前大跌5.14%，受美联储鹰派立场及中东冲突打压
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13:40","market":"us","language":"zh","title":"AI资本开支分化：英伟达仍是核心，但不再是唯一答案","url":"https://stock-news.laohu8.com/highlight/detail?id=1150955680","media":"美股研究社","summary":"英伟达仍是最大赢家，但股价不再只看订单四大巨头Capex继续抬升，按理说最直接利好英伟达。英伟达最新财年第四季度收入681亿美元，同比增长73%；数据中心收入623亿美元，同比增长75%；2026财年全年收入2159亿美元，同比增长65%。英伟达75%左右的毛利率，是AI芯片周期最核心的利润池。第四是资本开支回报。这也是为什么英伟达仍然是AI周期核心，却不再是“买了就完事”的标的。","content":"<html><head></head><body><p>四大云与互联网巨头同一季度交卷后，AI行情的主线反而更清楚了：需求没有退潮，钱还在往数据中心、GPU、ASIC、HBM、电力和网络里砸。</p><p style=\"text-align: left;\">微软Azure增长40%，Google Cloud增长63%，AWS增长28%，Meta把2026年资本开支指引抬到1250亿—1450亿美元。Bridgewater此前测算，Alphabet、Amazon、Meta和Microsoft 2026年AI相关基础设施投资约6500亿美元，高于2025年的4100亿美元。</p><p style=\"text-align: left;\">问题也在这里：这么大的预算，已经不再是单纯利好，它会改变所有公司的估值算法。云厂花钱越多，芯片订单越确定；订单越确定，市场越会提前交易；交易越拥挤，英伟达和芯片股对利好的反应越钝。AI没有降温，只是从“买入叙事”进入“核算回报”的阶段。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/46501b328a0aa23a77d4eade01d06a60\" alt=\"\" title=\"\" tg-width=\"800\" tg-height=\"469\"/></p><h2 id=\"id_2353615524\">四家都在砸钱，位置却完全不同 </h2><p style=\"text-align: left;\">这一轮财报最容易被误读的地方，是把四大巨头的资本开支简单看成一张排行榜。</p><p style=\"text-align: left;\">谁花得多，谁更激进；谁节奏放缓，谁需求走弱。这个理解太粗。真正要看的，是每家公司在AI资本周期里的位置。</p><p style=\"text-align: left;\"><strong>微软是“高位扩张后的供给补课”。</strong></p><p style=\"text-align: left;\">它这一季收入829亿美元，同比增长18%；Azure及其他云服务收入增长40%；AI业务年化收入超过370亿美元；商业RPO增长99%至6270亿美元。需求侧很强，订单也很厚。CFO在电话会上披露，本季度资本开支319亿美元，其中约三分之二投向GPU、CPU等短周期资产；四季度Capex预计超过400亿美元，2026日历年预计约1900亿美元，里面包含约250亿美元的组件涨价影响。</p><p style=\"text-align: left;\">这组数据的信号很微妙。微软不是不花了，而是投入开始从“抢地盘”进入“补产能、补交付、补效率”的阶段。Azure需求还超过可用容量，公司也预计2026年仍会有供给约束。换句话说，微软的AI问题不是没有订单，而是产能上线速度跟不上客户消耗速度。对芯片链来说，微软依然是确定性大客户；对微软股东来说，难点变成“花出去的GPU和CPU，多久能转成Copilot、Azure消费和现金流”。</p><p style=\"text-align: left;\"><strong>亚马逊处在另一端，更像“左侧重仓押供给”。</strong></p><p style=\"text-align: left;\">AWS一季度收入376亿美元，同比增长28%，创下近四年最快增速；但同一时间，亚马逊一季度资本开支达到442亿美元，过去12个月Capex约1510亿美元，自由现金流从去年同期259亿美元降到12亿美元。公司还维持2026年约2000亿美元AI投资目标。</p><p style=\"text-align: left;\">亚马逊的逻辑很直白：AWS不能只当传统云服务商，它要变成全球AI算力工厂之一。Trainium、Graviton、自研网络、数据中心、电力合同，这些投入把亚马逊往更重的基础设施方向推。它的优势是客户足够大，OpenAI、Anthropic、Meta等合作都能带来长期算力承诺；压力也很直接，现金流先被吃掉，利润兑现后移。</p><p style=\"text-align: left;\"><strong>Alphabet是“基础设施+生态补强”的平台化打法。</strong></p><p style=\"text-align: left;\">谷歌一季度收入1099亿美元，同比增长22%；Google Cloud收入增长63%至200亿美元，积压订单接近翻倍至4600亿美元以上；经营利润率提升到36.1%。同一季度，Alphabet购置物业和设备支出约357亿美元，还通过Wiz等并购补齐云安全和企业客户能力。</p><p style=\"text-align: left;\">它和亚马逊的区别，在于谷歌这次让市场看到了“边投钱、边放大利润”。搜索收入增长19%，AI体验推动查询量创历史高位，云业务也进入利润扩张期。对芯片链来说，Alphabet既是英伟达大客户，也是TPU自研路线最坚定的玩家之一。它不会停止采购高端GPU，但它也会持续把一部分利润留在自家ASIC体系里。</p><p style=\"text-align: left;\"><strong>Meta则是“广告现金牛反哺AI”的样本。</strong></p><p style=\"text-align: left;\">Meta把2026年资本开支指引从1150亿—1350亿美元上调到1250亿—1450亿美元，理由包括组件价格上涨和数据中心投入增加；Reuters还提到，Meta正部署超过1GW的自研芯片，并使用相当数量的AMD芯片。与此同时，Meta一季度营收563亿美元，广告业务仍然量价齐升，全球日活达到35.6亿。</p><p style=\"text-align: left;\">Meta的特殊性在于，它不是传统云厂，却在承担云厂级别的AI投入。它买算力、造芯片、建数据中心，最终目标不是对外卖云，而是提高推荐、广告、内容生成、AI助手和智能硬件的效率。它的资金来源是广告现金流，风险也在广告现金流。一旦广告景气承压，市场会立刻重新审视1450亿美元的合理性。</p><p style=\"text-align: left;\">四家公司合在一起看，行业信号很明确：AI竞争已经从“谁有模型”进入“谁能控制算力供给”。云厂不再满足于向英伟达下单，它们开始把自己改造成算力生产者、调度者和分发者。芯片板块仍然受益，但利润分配的逻辑开始变复杂。</p><h2 id=\"id_2125286109\">英伟达仍是最大赢家，但股价不再只看订单 </h2><p style=\"text-align: left;\"><strong>四大巨头Capex继续抬升，按理说最直接利好英伟达。</strong></p><p style=\"text-align: left;\">英伟达最新财年第四季度收入681亿美元，同比增长73%；数据中心收入623亿美元，同比增长75%；2026财年全年收入2159亿美元，同比增长65%。公司还给出下一季度收入780亿美元左右的指引，毛利率指引约75%。这些数字放在全球半导体史上，依然非常夸张。</p><p style=\"text-align: left;\"><strong>但芯片股的交易进入了一个新阶段：业绩越强，市场越会问“还剩多少没被定价”。</strong></p><p style=\"text-align: left;\">过去一年，英伟达的逻辑很顺：AI需求爆发，GPU紧缺，云厂排队下单，业绩持续超预期，估值继续抬升。现在前两段已经被验证到极致。微软、亚马逊、Alphabet、Meta的预算，本身就是未来一到两年需求能见度的确认。订单还在，客户还在，Capex还在，可这些信息大部分已经写进股价。</p><p style=\"text-align: left;\">所以，英伟达财报“不怎么动”，并不代表基本面变弱。更准确地说，它从“增量惊喜资产”变成“高预期兑现资产”。只要财报没有明显打穿一致预期，股价很难再像早期那样一根直线往上拉。</p><p style=\"text-align: left;\"><strong>市场现在盯的变量，已经换了。</strong></p><p style=\"text-align: left;\"><strong>第一是毛利率。</strong>英伟达75%左右的毛利率，是AI芯片周期最核心的利润池。如果未来客户自研芯片放量、AMD加速追赶、云厂议价能力提升，毛利率哪怕只是边际承压，估值都会先反应。英伟达的利润质量依旧顶级，但越是顶级，市场越怕“均值回归”。</p><p style=\"text-align: left;\"><strong>第二是客户结构。</strong>微软、亚马逊、谷歌、Meta仍然离不开英伟达高端GPU，尤其是训练、复杂推理和前沿模型场景。但它们同时都在做替代路线：亚马逊Trainium、谷歌TPU、Meta自研芯片，微软也在自研Maia体系。短期看，这些芯片无法完全替代英伟达生态；中期看，它们会拿走一部分标准化推理负载，改变英伟达的议价弹性。</p><p style=\"text-align: left;\"><strong>第三是供给周期。</strong>AI芯片从极度紧缺走向结构性平衡，是所有周期股都会遇到的问题。现在还没到全面过剩，但供给扩张已经在路上。台积电CoWoS、HBM、先进封装、AI服务器产线，都在加速扩产。早期，缺货本身就是估值催化；后期，市场会开始计算新增产能投放后，价格和毛利率还能不能维持。</p><p style=\"text-align: left;\"><strong>第四是资本开支回报。</strong>云厂花钱买芯片，最终要靠客户AI应用消耗来回收。假如企业AI预算继续放量，英伟达订单能延续；假如应用层收入跟不上基础设施投入，云厂会放慢扩产节奏。芯片股的估值，最终会被下游客户的资本纪律反向约束。</p><p style=\"text-align: left;\">这也是为什么英伟达仍然是AI周期核心，却不再是“买了就完事”的标的。它的基本面强到没有争议，交易难度也随之提高。市场要的不是“还在增长”，而是更强的增速、更稳的毛利率、更长的订单周期，以及更少的自研替代风险。</p><p style=\"text-align: left;\">英伟达已经从AI行情的发动机，变成AI资本周期的温度计。温度还高，但资金开始看刻度变化，而不是只看火苗。</p><h2 id=\"id_1578959375\">芯片行情没有结束，只是从Beta变成挑公司</h2><p style=\"text-align: left;\">四大巨头Capex共振，对芯片板块仍然是中期利好。</p><p style=\"text-align: left;\">这一点没必要回避。6500亿美元级别的基础设施投入，不可能不进入半导体产业链。GPU、ASIC、CPU、HBM、先进封装、光模块、交换芯片、电源管理、散热、服务器ODM、数据中心网络，都会被这轮AI建设周期反复拉动。Reuters也提到，美国芯片股近期创新高，费城半导体指数一度连续18个交易日创纪录，年内涨幅达到47%，市场仍在交易AI基础设施景气。</p><p style=\"text-align: left;\">但利好不再是均匀分配。</p><p style=\"text-align: left;\"><strong>上一阶段的芯片行情，是典型Beta：只要和AI算力沾边，估值都能跟着上。</strong>GPU涨，HBM涨，封装涨，服务器涨，甚至边缘零部件也能被贴上AI标签。现在，市场开始进入Alpha阶段，资金会追问每个环节的真实议价能力。</p><p style=\"text-align: left;\">最强的仍然是稀缺环节。</p><p style=\"text-align: left;\">HBM供应紧，先进封装产能紧，高端GPU生态和软件栈难复制，云厂核心网络和互联芯片门槛高。这些环节具备“订单可见+供给受限+利润率保护”的特征，仍然能拿到高估值。</p><p style=\"text-align: left;\">压力更大的，是单纯吃扩产周期的环节。</p><p style=\"text-align: left;\">如果一家公司的逻辑只停留在“AI服务器出货增加，所以订单增加”，估值弹性会越来越有限。因为市场会继续问：你有没有定价权？会不会被客户压价？扩产后毛利率能不能守住？大客户会不会导入第二供应商？行业从缺货转向结构性平衡后，低壁垒环节最容易出现“业绩增长、估值下移”。</p><p style=\"text-align: left;\">ASIC链条会变得更重要。</p><p style=\"text-align: left;\">亚马逊Trainium、谷歌TPU、Meta自研芯片，背后都对应一条非英伟达路径。它不会在短期内推翻GPU，但会重新分配利润。Broadcom、Marvell、台积电、先进封装、HBM厂商，都可能从云厂自研芯片中分到增量。芯片板块的机会，因此会从“押英伟达单点爆发”，扩展到“押云厂自研ASIC产业链”。</p><p style=\"text-align: left;\">AI服务器链条也会被重新筛选。</p><p style=\"text-align: left;\"><strong>算力中心不只需要芯片，还需要网络、存储、电源、液冷、机柜、光互联。</strong>随着数据中心电力密度提升，传统服务器供应链会被迫升级。受益最大的不是所有硬件公司，而是能解决瓶颈的公司：高端交换、800G/1.6T光模块、液冷方案、电源管理、高速连接器、先进散热材料，这些会比普通组装环节更容易拿到溢价。</p><p style=\"text-align: left;\">同时，也要警惕“资本开支利好被反向交易”。</p><p style=\"text-align: left;\">如果云厂Capex继续上修，短期利好芯片订单；但如果市场认为Capex过热，反而会担心未来需求提前透支。芯片股高位时经常出现这种悖论：客户花钱越多，短期订单越强；钱花得太猛，市场越担心下一轮放缓。英伟达、AMD、博通、台积电、HBM厂商都会受到这种情绪摆动影响。</p><p style=\"text-align: left;\">所以，芯片板块不是主线消失，而是主线更难做了。早期买方向，后期买质量；早期看订单，后期看利润率；早期看谁沾AI，后期看谁掌握瓶颈。</p><h2 id=\"id_1346398849\">AI还在加速，芯片股却要告别“无脑溢价”</h2><p style=\"text-align: left;\">四大巨头这一轮财报，给AI产业链传递了一个很硬的信号：算力建设没有停，资本开支也没有停。微软还在补Azure产能，亚马逊用AWS和Trainium抢供给，Alphabet边扩云边补生态，Meta拿广告现金流押超级智能和推荐系统。AI不是热度退潮，而是进入更重、更贵、更考验回报率的阶段。</p><p style=\"text-align: left;\"><strong>对英伟达和芯片板块来说，这当然还是利好。</strong>没有6500亿美元级别的云厂预算，就没有数据中心芯片的超长景气。但市场已经不满足于“客户还在花钱”这句话。资金接下来会盯着三件事：订单能见度能延续多久，毛利率能否守住，云厂自研芯片会不会改写利润分配。</p><p style=\"text-align: left;\">这就是现在最核心的冲突：AI资本开支越强，越证明需求真实；投入越强，也越容易让市场提前透支预期。芯片股还能涨，但不会再是全行业一起涨。英伟达仍然是核心锚，HBM、先进封装、ASIC、光互联、液冷等环节会继续有结构性机会；那些只有“AI标签”、缺少定价权和产能壁垒的公司，会越来越难享受高估值。</p><p style=\"text-align: left;\"><strong>行业前瞻看，AI交易已经从“算力紧缺”走向“资本效率”。谁能帮云厂降低每Token成本、提升能效、缩短训练和推理时间，谁就能继续拿订单；谁只是在扩产周期里跟着景气跑，业绩兑现后反而可能被杀估值。</strong></p><p style=\"text-align: left;\">所以，这轮四大巨头Capex分化没有削弱AI主线，反而让主线更清晰：未来不是所有芯片股都值钱，只有卡住瓶颈、守住利润率、站在云厂预算核心位置的公司，才配继续享受AI溢价。</p></body></html>","source":"mgyjs","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>AI资本开支分化：英伟达仍是核心，但不再是唯一答案</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 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0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nAI资本开支分化：英伟达仍是核心，但不再是唯一答案\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-05-01 13:40 北京时间 <a href=https://mp.weixin.qq.com/s/aKZUZ5LDfT5gFvQjGdZ-ow><strong>美股研究社</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>四大云与互联网巨头同一季度交卷后，AI行情的主线反而更清楚了：需求没有退潮，钱还在往数据中心、GPU、ASIC、HBM、电力和网络里砸。微软Azure增长40%，Google Cloud增长63%，AWS增长28%，Meta把2026年资本开支指引抬到1250亿—1450亿美元。Bridgewater此前测算，Alphabet、Amazon、Meta和Microsoft 2026年AI相关基础设施...</p>\n\n<a href=\"https://mp.weixin.qq.com/s/aKZUZ5LDfT5gFvQjGdZ-ow\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/3f1c866c487eb9e101f73a62d4495ce9","relate_stocks":{"NVDO":"2倍上限加速NVDA ETF-Leverage Shares","NVD":"2倍做空NVDA ETF-GraniteShares","DIPS":"做空NVDA期权收益策略ETF-YieldMax","NVDU":"2倍做多NVDA ETF-Direxion","NVDG":"2倍做多NVDA ETF- Leverage Shares","NVYY":"GraniteShares YieldBOOST NVDA ETF","NVDY":"NVDA期权收益策略ETF-YieldMax","ANV":"GraniteShares Autocallable NVDA ETF","NVDQ":"2倍做空NVDA ETF-T-Rex","NVDW":"NVDA周配息ETF-Roundhill","NVDB":"ProShares Ultra NVDA ETF","NVDL":"2倍做多NVDA ETF-GraniteShares","NVDA":"英伟达","NVII":"Rex NVDA Growth & Income ETF","NVDS":"1.5倍做空NVDA ETF-Tradr","NVDD":"1倍做空NVDA ETF-Direxion","NVDX":"2倍做多NVDA ETF-T-Rex"},"source_url":"https://mp.weixin.qq.com/s/aKZUZ5LDfT5gFvQjGdZ-ow","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1150955680","content_text":"四大云与互联网巨头同一季度交卷后，AI行情的主线反而更清楚了：需求没有退潮，钱还在往数据中心、GPU、ASIC、HBM、电力和网络里砸。微软Azure增长40%，Google Cloud增长63%，AWS增长28%，Meta把2026年资本开支指引抬到1250亿—1450亿美元。Bridgewater此前测算，Alphabet、Amazon、Meta和Microsoft 2026年AI相关基础设施投资约6500亿美元，高于2025年的4100亿美元。问题也在这里：这么大的预算，已经不再是单纯利好，它会改变所有公司的估值算法。云厂花钱越多，芯片订单越确定；订单越确定，市场越会提前交易；交易越拥挤，英伟达和芯片股对利好的反应越钝。AI没有降温，只是从“买入叙事”进入“核算回报”的阶段。四家都在砸钱，位置却完全不同 这一轮财报最容易被误读的地方，是把四大巨头的资本开支简单看成一张排行榜。谁花得多，谁更激进；谁节奏放缓，谁需求走弱。这个理解太粗。真正要看的，是每家公司在AI资本周期里的位置。微软是“高位扩张后的供给补课”。它这一季收入829亿美元，同比增长18%；Azure及其他云服务收入增长40%；AI业务年化收入超过370亿美元；商业RPO增长99%至6270亿美元。需求侧很强，订单也很厚。CFO在电话会上披露，本季度资本开支319亿美元，其中约三分之二投向GPU、CPU等短周期资产；四季度Capex预计超过400亿美元，2026日历年预计约1900亿美元，里面包含约250亿美元的组件涨价影响。这组数据的信号很微妙。微软不是不花了，而是投入开始从“抢地盘”进入“补产能、补交付、补效率”的阶段。Azure需求还超过可用容量，公司也预计2026年仍会有供给约束。换句话说，微软的AI问题不是没有订单，而是产能上线速度跟不上客户消耗速度。对芯片链来说，微软依然是确定性大客户；对微软股东来说，难点变成“花出去的GPU和CPU，多久能转成Copilot、Azure消费和现金流”。亚马逊处在另一端，更像“左侧重仓押供给”。AWS一季度收入376亿美元，同比增长28%，创下近四年最快增速；但同一时间，亚马逊一季度资本开支达到442亿美元，过去12个月Capex约1510亿美元，自由现金流从去年同期259亿美元降到12亿美元。公司还维持2026年约2000亿美元AI投资目标。亚马逊的逻辑很直白：AWS不能只当传统云服务商，它要变成全球AI算力工厂之一。Trainium、Graviton、自研网络、数据中心、电力合同，这些投入把亚马逊往更重的基础设施方向推。它的优势是客户足够大，OpenAI、Anthropic、Meta等合作都能带来长期算力承诺；压力也很直接，现金流先被吃掉，利润兑现后移。Alphabet是“基础设施+生态补强”的平台化打法。谷歌一季度收入1099亿美元，同比增长22%；Google Cloud收入增长63%至200亿美元，积压订单接近翻倍至4600亿美元以上；经营利润率提升到36.1%。同一季度，Alphabet购置物业和设备支出约357亿美元，还通过Wiz等并购补齐云安全和企业客户能力。它和亚马逊的区别，在于谷歌这次让市场看到了“边投钱、边放大利润”。搜索收入增长19%，AI体验推动查询量创历史高位，云业务也进入利润扩张期。对芯片链来说，Alphabet既是英伟达大客户，也是TPU自研路线最坚定的玩家之一。它不会停止采购高端GPU，但它也会持续把一部分利润留在自家ASIC体系里。Meta则是“广告现金牛反哺AI”的样本。Meta把2026年资本开支指引从1150亿—1350亿美元上调到1250亿—1450亿美元，理由包括组件价格上涨和数据中心投入增加；Reuters还提到，Meta正部署超过1GW的自研芯片，并使用相当数量的AMD芯片。与此同时，Meta一季度营收563亿美元，广告业务仍然量价齐升，全球日活达到35.6亿。Meta的特殊性在于，它不是传统云厂，却在承担云厂级别的AI投入。它买算力、造芯片、建数据中心，最终目标不是对外卖云，而是提高推荐、广告、内容生成、AI助手和智能硬件的效率。它的资金来源是广告现金流，风险也在广告现金流。一旦广告景气承压，市场会立刻重新审视1450亿美元的合理性。四家公司合在一起看，行业信号很明确：AI竞争已经从“谁有模型”进入“谁能控制算力供给”。云厂不再满足于向英伟达下单，它们开始把自己改造成算力生产者、调度者和分发者。芯片板块仍然受益，但利润分配的逻辑开始变复杂。英伟达仍是最大赢家，但股价不再只看订单 四大巨头Capex继续抬升，按理说最直接利好英伟达。英伟达最新财年第四季度收入681亿美元，同比增长73%；数据中心收入623亿美元，同比增长75%；2026财年全年收入2159亿美元，同比增长65%。公司还给出下一季度收入780亿美元左右的指引，毛利率指引约75%。这些数字放在全球半导体史上，依然非常夸张。但芯片股的交易进入了一个新阶段：业绩越强，市场越会问“还剩多少没被定价”。过去一年，英伟达的逻辑很顺：AI需求爆发，GPU紧缺，云厂排队下单，业绩持续超预期，估值继续抬升。现在前两段已经被验证到极致。微软、亚马逊、Alphabet、Meta的预算，本身就是未来一到两年需求能见度的确认。订单还在，客户还在，Capex还在，可这些信息大部分已经写进股价。所以，英伟达财报“不怎么动”，并不代表基本面变弱。更准确地说，它从“增量惊喜资产”变成“高预期兑现资产”。只要财报没有明显打穿一致预期，股价很难再像早期那样一根直线往上拉。市场现在盯的变量，已经换了。第一是毛利率。英伟达75%左右的毛利率，是AI芯片周期最核心的利润池。如果未来客户自研芯片放量、AMD加速追赶、云厂议价能力提升，毛利率哪怕只是边际承压，估值都会先反应。英伟达的利润质量依旧顶级，但越是顶级，市场越怕“均值回归”。第二是客户结构。微软、亚马逊、谷歌、Meta仍然离不开英伟达高端GPU，尤其是训练、复杂推理和前沿模型场景。但它们同时都在做替代路线：亚马逊Trainium、谷歌TPU、Meta自研芯片，微软也在自研Maia体系。短期看，这些芯片无法完全替代英伟达生态；中期看，它们会拿走一部分标准化推理负载，改变英伟达的议价弹性。第三是供给周期。AI芯片从极度紧缺走向结构性平衡，是所有周期股都会遇到的问题。现在还没到全面过剩，但供给扩张已经在路上。台积电CoWoS、HBM、先进封装、AI服务器产线，都在加速扩产。早期，缺货本身就是估值催化；后期，市场会开始计算新增产能投放后，价格和毛利率还能不能维持。第四是资本开支回报。云厂花钱买芯片，最终要靠客户AI应用消耗来回收。假如企业AI预算继续放量，英伟达订单能延续；假如应用层收入跟不上基础设施投入，云厂会放慢扩产节奏。芯片股的估值，最终会被下游客户的资本纪律反向约束。这也是为什么英伟达仍然是AI周期核心，却不再是“买了就完事”的标的。它的基本面强到没有争议，交易难度也随之提高。市场要的不是“还在增长”，而是更强的增速、更稳的毛利率、更长的订单周期，以及更少的自研替代风险。英伟达已经从AI行情的发动机，变成AI资本周期的温度计。温度还高，但资金开始看刻度变化，而不是只看火苗。芯片行情没有结束，只是从Beta变成挑公司四大巨头Capex共振，对芯片板块仍然是中期利好。这一点没必要回避。6500亿美元级别的基础设施投入，不可能不进入半导体产业链。GPU、ASIC、CPU、HBM、先进封装、光模块、交换芯片、电源管理、散热、服务器ODM、数据中心网络，都会被这轮AI建设周期反复拉动。Reuters也提到，美国芯片股近期创新高，费城半导体指数一度连续18个交易日创纪录，年内涨幅达到47%，市场仍在交易AI基础设施景气。但利好不再是均匀分配。上一阶段的芯片行情，是典型Beta：只要和AI算力沾边，估值都能跟着上。GPU涨，HBM涨，封装涨，服务器涨，甚至边缘零部件也能被贴上AI标签。现在，市场开始进入Alpha阶段，资金会追问每个环节的真实议价能力。最强的仍然是稀缺环节。HBM供应紧，先进封装产能紧，高端GPU生态和软件栈难复制，云厂核心网络和互联芯片门槛高。这些环节具备“订单可见+供给受限+利润率保护”的特征，仍然能拿到高估值。压力更大的，是单纯吃扩产周期的环节。如果一家公司的逻辑只停留在“AI服务器出货增加，所以订单增加”，估值弹性会越来越有限。因为市场会继续问：你有没有定价权？会不会被客户压价？扩产后毛利率能不能守住？大客户会不会导入第二供应商？行业从缺货转向结构性平衡后，低壁垒环节最容易出现“业绩增长、估值下移”。ASIC链条会变得更重要。亚马逊Trainium、谷歌TPU、Meta自研芯片，背后都对应一条非英伟达路径。它不会在短期内推翻GPU，但会重新分配利润。Broadcom、Marvell、台积电、先进封装、HBM厂商，都可能从云厂自研芯片中分到增量。芯片板块的机会，因此会从“押英伟达单点爆发”，扩展到“押云厂自研ASIC产业链”。AI服务器链条也会被重新筛选。算力中心不只需要芯片，还需要网络、存储、电源、液冷、机柜、光互联。随着数据中心电力密度提升，传统服务器供应链会被迫升级。受益最大的不是所有硬件公司，而是能解决瓶颈的公司：高端交换、800G/1.6T光模块、液冷方案、电源管理、高速连接器、先进散热材料，这些会比普通组装环节更容易拿到溢价。同时，也要警惕“资本开支利好被反向交易”。如果云厂Capex继续上修，短期利好芯片订单；但如果市场认为Capex过热，反而会担心未来需求提前透支。芯片股高位时经常出现这种悖论：客户花钱越多，短期订单越强；钱花得太猛，市场越担心下一轮放缓。英伟达、AMD、博通、台积电、HBM厂商都会受到这种情绪摆动影响。所以，芯片板块不是主线消失，而是主线更难做了。早期买方向，后期买质量；早期看订单，后期看利润率；早期看谁沾AI，后期看谁掌握瓶颈。AI还在加速，芯片股却要告别“无脑溢价”四大巨头这一轮财报，给AI产业链传递了一个很硬的信号：算力建设没有停，资本开支也没有停。微软还在补Azure产能，亚马逊用AWS和Trainium抢供给，Alphabet边扩云边补生态，Meta拿广告现金流押超级智能和推荐系统。AI不是热度退潮，而是进入更重、更贵、更考验回报率的阶段。对英伟达和芯片板块来说，这当然还是利好。没有6500亿美元级别的云厂预算，就没有数据中心芯片的超长景气。但市场已经不满足于“客户还在花钱”这句话。资金接下来会盯着三件事：订单能见度能延续多久，毛利率能否守住，云厂自研芯片会不会改写利润分配。这就是现在最核心的冲突：AI资本开支越强，越证明需求真实；投入越强，也越容易让市场提前透支预期。芯片股还能涨，但不会再是全行业一起涨。英伟达仍然是核心锚，HBM、先进封装、ASIC、光互联、液冷等环节会继续有结构性机会；那些只有“AI标签”、缺少定价权和产能壁垒的公司，会越来越难享受高估值。行业前瞻看，AI交易已经从“算力紧缺”走向“资本效率”。谁能帮云厂降低每Token成本、提升能效、缩短训练和推理时间，谁就能继续拿订单；谁只是在扩产周期里跟着景气跑，业绩兑现后反而可能被杀估值。所以，这轮四大巨头Capex分化没有削弱AI主线，反而让主线更清晰：未来不是所有芯片股都值钱，只有卡住瓶颈、守住利润率、站在云厂预算核心位置的公司，才配继续享受AI溢价。","news_type":1,"symbols_score_info":{"NVDX":0.6,"NVDL":0.6,"NVD":0.6,"NVDW":0.6,"NVDS":0.6,"NVDG":0.6,"NVDA":2,"DIPS":0.6,"NVDB":0.6,"NVDO":0.6,"NVDQ":0.6,"NVDU":0.6,"NVDD":0.6,"ANV":0.6,"NVYY":0.6,"NVII":0.6,"NVDY":0.6}},"isVote":1,"tweetType":1,"viewCount":224,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":546521062819648,"gmtCreate":1774452716353,"gmtModify":1774452718490,"author":{"id":"3468529827816752","authorId":"3468529827816752","name":"盲人摸大象","avatar":"https://static.tigerbbs.com/bb02d1b702bab9b5f01bc747be51aef1","crmLevel":8,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3468529827816752","idStr":"3468529827816752"},"themes":[],"title":"","htmlText":"[强]","listText":"[强]","text":"[强]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/546521062819648","isVote":1,"tweetType":1,"viewCount":1067,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":544425523769880,"gmtCreate":1773941960199,"gmtModify":1773941962278,"author":{"id":"3468529827816752","authorId":"3468529827816752","name":"盲人摸大象","avatar":"https://static.tigerbbs.com/bb02d1b702bab9b5f01bc747be51aef1","crmLevel":8,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3468529827816752","idStr":"3468529827816752"},"themes":[],"title":"","htmlText":"1","listText":"1","text":"1","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/544425523769880","repostId":"1184216480","repostType":2,"repost":{"id":"1184216480","kind":"news","pubTimestamp":1773898247,"share":"https://www.laohu8.com/m/news/1184216480?lang=zh_CN&edition=full","pubTime":"2026-03-19 13:30","market":"us","language":"zh","title":"黄仁勋即中本聪","url":"https://stock-news.laohu8.com/highlight/detail?id=1184216480","media":"硅基立场","summary":"2026年3月，我坐在 NVIDIA GTC 会场里，听了黄仁勋一场几乎没有带货的主题演讲。而黄仁勋在 GTC 2026的舞台上，做了一件结构上一模一样的事。这张图几乎可以当作黄仁勋 “token 经济学” 的白皮书封面。中本聪和黄仁勋都没有直接生产 token，他们定义的都是 token 的生产规则和定价机制。而黄仁勋，用物理定律制造了天然稀缺。但无论是中本聪还是黄仁勋，他们创造的稀缺性都导致了同一个结果：硬件军备竞赛。","content":"<html><head></head><body><blockquote><p>过去因为相信所以看见的那个 token，现在不用相信就能看见。它是瓦特、安培、比特之后的下一个。</p></blockquote><p style=\"text-align: justify;\">2009年1月，一个匿名者发明了一种叫 “token”的东西，你投入算力，获得 token，token在一个共识网络里流通、定价、交易。整个加密经济由此而生。十几年过去了，人们还在争论这种 token 到底有没有价值。</p><p style=\"text-align: justify;\">2025年3月，一个穿皮衣的男人重新定义了另一种叫 token 的东西。你投入算力，产出 token，token在一个 AI 推理（inference & reasoning ）过程中里被立刻消费掉：思考、推理、写代码、做决策。整个 AI 经济由此加速。没有人争论这种 token 有没有价值，因为你今天早上刚用掉了几百万个。</p><p style=\"text-align: justify;\">两种 token，同一个名字，同一个底层结构：算力进去，有价值的东西出来。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/8e30023ea8ec0245fdd64984dff21fae\" alt=\"\" title=\"\" tg-width=\"750\" tg-height=\"565\"/></p><p style=\"text-align: justify;\">2026年3月，我坐在 NVIDIA GTC 会场里，听了黄仁勋一场几乎没有带货的主题演讲。是的，他发布了 Vera Rubin，一款 CPU 与 GPU 结合的产品。但这次，他没有讲芯片参数，没有讲制程工艺，他讲的是一套关于 token 生产、定价和消费的完整经济学——</p><p style=\"text-align: justify;\">哪种模型，对应哪种 token 速度；哪种 token速度，对应哪个定价区间；哪个定价区间，需要什么级别的硬件来支撑。</p><p style=\"text-align: justify;\">他甚至帮台下的 CEO 和掌握着企业支票本的决策者们做好了数据中心的算力分配方案：25%给免费层，25%给中端，25%给高端，25%给高溢价层。</p><p style=\"text-align: justify;\">是的，这次他没有具体卖哪款 GPU 组，就像两年前卖 Blackwell 那样。但这次，他在卖一些更大的东西。两个小时下来，我觉得他最想讲的一句话其实是：Welcome to consume tokens, and only Nvidia's factory could produce。</p><p style=\"text-align: justify;\">这一刻我意识到，这个男人，和17年前那个匿名者挖出了第一个 token 的人，做的是结构上完全相同的一件事。</p><h2 id=\"id_2626211134\">同一套转化规则</h2><p style=\"text-align: justify;\">化名为“中本聪”的那个匿名者，在2008年写了一篇九页的白皮书，设计了一套规则：投入算力，完成一个数学证明（Proof of Work），获得 crypto token 作为奖励。</p><p style=\"text-align: justify;\">这个规则的精妙之处在于，他不需要任何人信任任何人——只要你接受这套规则，你就自动成为这个经济体的参与者。这个规则是对的，毕竟它让那么多尔虞我诈的人走到了一起。</p><p style=\"text-align: justify;\">而黄仁勋在 GTC 2026的舞台上，做了一件结构上一模一样的事。</p><p style=\"text-align: justify;\">他展示了一张图，彰显推理效率与 token 消耗的关系和张力：Y 轴是吞吐量（每兆瓦功耗产出多少 token），X 轴是交互性（每个用户感知到的 token 速度）。然后，他在 X 轴下面标了五个定价档：Free 用Qwen 3，$0/百万token；Medium 用 Kimi K2.5，$3/百万token；High 用 GPT MoE，$6/百万 token；Premium 用 GPT MoE 400K context，$45/百万 token；而 Ultra，$150/百万token。</p><p style=\"text-align: justify;\">这张图几乎可以当作黄仁勋 “token 经济学” 的白皮书封面。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/91ccec94a526bf879d69348bc826f36b\" alt=\"\" title=\"\" tg-width=\"750\" tg-height=\"565\"/></p><p style=\"text-align: justify;\">中本聪定义了“什么是有价值的计算”——完成 SHA-256 哈希碰撞就是有价值的。而黄仁勋定义了“什么是有价值的推理”——在给定功耗约束下，以特定速度为特定场景产出 token就是有价值的。</p><p style=\"text-align: justify;\">中本聪和黄仁勋都没有直接生产 token，他们定义的都是 token 的生产规则和定价机制。</p><p style=\"text-align: justify;\">老黄在台上说的一句话，几乎可以直接写进 token 经济学白皮书的摘要——</p><p style=\"text-align: justify;\">Tokens are the new commodity, and like all commodities, once it reaches an inflection, once it becomes mature, it will segment into different parts.</p><p style=\"text-align: justify;\">Token是新的大宗商品。大宗商品成熟之后会自然分层。他不是在描述现状，他是在预判一个市场结构，然后把自己的硬件产品线，精确地铺在这个结构的每一层上。</p><p style=\"text-align: justify;\">两种 token的生产过程，甚至有一个语义上的对称：挖矿叫 mining，推理叫 inference。</p><p style=\"text-align: justify;\">挖矿和推理的本质，都是把电变成钱。矿工花电费挖 crypto token，然后卖掉，推理模型和 AI Agents 花电费产生 AI token，然后按百万计价卖给开发者。中间环节不同，两头都一样：左边是电表，右边是收入。</p><h2 id=\"id_3373420916\">稀缺性的两种写法</h2><p style=\"text-align: justify;\">中本聪做过的最重要的设计决策，不是 Proof of Work，是2100万枚的比特币总量上限。他用代码制造了人工稀缺——不管有多少矿机涌入，比特币的总量永远不会超过2100万枚。这个稀缺性是整个加密经济的价值锚。</p><p style=\"text-align: justify;\">而黄仁勋，用物理定律制造了天然稀缺。他说——</p><p style=\"text-align: justify;\">"You still have to build a gigawatt data center. You still have to build a gigawatt factory, and that one gigawatt factory for 15 years amortized... is about $40 billion even when you put nothing on it. It's $40 billion. You better make for darn sure you put the best computer system on that thing so that you can have the best token cost."</p><p style=\"text-align: justify;\">一个1GW 的数据中心永远不会变成 2GW。这不是代码限制，这是物理定律。</p><p style=\"text-align: justify;\">土地、电力、散热——每一项都有物理上限。你花400美元亿建好的这个工厂，15年的生命周期里能产出多少 token，完全取决于你往里面放了什么计算架构。</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/b4a1221945ad658bdae2be50d6fd8bfd\" alt=\"\" title=\"\" tg-width=\"750\" tg-height=\"565\"/></p><p style=\"text-align: justify;\">中本聪的稀缺性可以被 fork。不喜欢2100万枚的上限，fork一条新链，改成2亿枚，叫它以太币或什么鬼玩意儿，随你便，顺便再发个白皮书。而人们确实这么做了，乐此不疲。</p><p style=\"text-align: justify;\">而老黄制造的稀缺性不能被fork。毕竟你不能 fork热力学第二定律，不能 fork一个城市的电网容量，不能 fork一块土地的物理面积。</p><p style=\"text-align: justify;\">但无论是中本聪还是黄仁勋，他们创造的稀缺性都导致了同一个结果：硬件军备竞赛。</p><p style=\"text-align: justify;\">挖矿的历史是：CPU→GPU→FPGA→ASIC。每一代专用硬件都让上一代变成废铁。而 AI 训练和推理的历史也正在重演：Hopper→Blackwell→Vera Rubin→Groq LPU。通用硬件起步，专用硬件定局。老黄今年 GTC 展示的 Groq LPU，那个收购了 Groq 之后发布的确定性数据流处理器。静态编译，编译器调度，没有动态调度，500MB片上SRAM——它架构哲学上就是推理领域的 ASIC。只做一件事，但做到极致。</p><p style=\"text-align: justify;\">有意思的是：GPU 在两波浪潮里都扮演了关键角色。</p><p style=\"text-align: justify;\">2013年前后，矿工们发现 GPU 比 CPU 更适合挖 crypto token，英伟达显卡被买断货。10年后，研究者们发现 GPU 是训练和推理 AI 模型的最佳工具，英伟达数据中心卡再次被买断货。GPU 作为一个处理器门类，先后服务了两代 token 经济。</p><p style=\"text-align: justify;\">而区别在于，第一次英伟达是被动受益，然后也就没然后了。而第二次，在 AI 算力消费的主战场从预训练切换到推理测的时候，英伟达很快抓住机会主动设计了整个游戏，成为 AI 游戏规则的写入者。</p><h2 id=\"id_29565238\">全世界最赚钱的铲子</h2><p style=\"text-align: justify;\">淘金热里最赚钱的不是淘金者，是卖铲子的 Levi Strauss。挖矿潮里最赚钱的不是矿工，是卖矿机的比特大陆和吴忌寒。AI 预训练和推理浪里最赚钱的不是基座模型和 Agent，而是卖 GPU 的英伟达。</p><p style=\"text-align: justify;\">但讲真，比特大陆跟英伟达置于各自产业的角色，已不可同日语。</p><p style=\"text-align: justify;\">比特大陆只卖矿机，英伟达还曾是比特大陆的供应商。你买了矿机，挖什么币、去哪个矿池、以什么价格卖出，都跟比特大陆无关。它是一个纯硬件供应商，赚的是一次性的设备利润。</p><p style=\"text-align: justify;\">英伟达不一样。他不只卖硬件，现在，尤其是2025年推理侧 AI 爆发以来，它深度定义了应该用这款 GPU 挖什么 、如何给 token定价、token 卖给谁、数据中心应该怎么分配算力…… 这些都在老黄的演讲 PPT 里：他把市场分成五个 tier，每个 tier 对应什么模型、上下文长度、交互速度和价格……英伟达标准化、格式化了未来 AI 推理驱动一切的市场。</p><p style=\"text-align: justify;\">2018年前后，全球算力集中在几个大矿池——F2Pool、Antpool、BTC.com——它们互相竞争算力份额，但矿机来源高度集中在比特大陆。</p><p style=\"text-align: justify;\">一如今天的英伟达，60% 收入来自互相竞争的 “hyperscaler”，例如 AWS、Azure、GCP、Oracle、CoreWeave，而 40%来自分散的 AI Natives、主权AI 项目和企业客户。大“矿池”贡献主要营收，小“矿工”提供韧性和多元化。</p><p style=\"text-align: justify;\">两套生态的结构一模一样。但比特大陆后来遇到了竞争对手——神马矿机、芯动科技、嘉楠耘智都在蚕食它的份额。矿机是相对简单的 ASIC 设计，追赶者有机会。而撼动英伟达似乎变得越来越难：20年的 CUDA 生态，数亿 GPU 的安装基数，NVLink六代互联技术，Groq 整合后的解耦推理架构——英伟达的技术复杂性和生态壁垒，让大部分的竞争工具都无效了。</p><p style=\"text-align: justify;\">这可能得持续20年。</p><h2 id=\"id_1944373886\">两种 token 的根本分叉</h2><p style=\"text-align: justify;\">而让加密货币和 AI 训练和推理两种 token 产生本质不同的，是人们使用的动机和心理。</p><p style=\"text-align: justify;\">Crypto token 的需求侧是投机。没有人“需要”比特币来完成工作。所有宣称区块链代币能帮你解决问题的白皮书都是骗子些的。你持有 crypto，是因为相信未来会有人以更高的价格从你手里买走它。比特币的价值来自一个自我实现的预言：足够多的人相信它有价值，它就有价值。这是信仰经济。</p><p style=\"text-align: justify;\">而 AI token的需求侧是生产力。雀巢需要 token来做供应链决策——它的供应链数据从15分钟刷新一次变成3分钟刷新一次，成本降低83%，这个价值是可以直接映射到 P&L 上的。英伟达 100%的工程师已经需要 token 来写代码而不是手搓；研究团队需要 token 从事科研。你不需要相信 token有价值，你只需要用它，价值就在使用中自证了。</p><p style=\"text-align: justify;\">这是两种 token最本质的区别。Crypto token被生产出来是为了被持有和交易——它的价值在于不使用。AI token 被生产出来是为了被立刻消费掉——它的价值在于被用掉的那一刻。</p><p style=\"text-align: justify;\">一种是数字黄金，越囤越值钱；一种是数字电力，生产出来就烧掉。</p><p style=\"text-align: justify;\">这个区别决定了：AI token 经济不会像 crypto token 经济一样泡沫化。比特币大起大落，因为投机品的价格由情绪驱动。但token 的价格由使用量和生产成本驱动，只要 AI 持续有用——只要人们还在用 Claude Code 写代码、用 ChatGPT 写报告、用 Agent 跑业务流程，token 的需求就不会崩。它不靠信仰，靠的是离不开。</p><p style=\"text-align: justify;\">2008年，比特币白皮书需要反复一个去中心化的电子现金系统为什么有价值。17年过去了，人们还在争。</p><p style=\"text-align: justify;\">2026年，token 经济学没有引发任何争论，它甚至不需要论证就成了共识。老黄站在 GTC 的舞台上说“tokens are the new commodity”的时候，没有人质疑。因为台下坐着的每一个人，今天早上都用 Claude Code 或者 ChatGPT消费了几百万个 token。他们不需要被说服 token有价值——他们的信用卡账单已经证明了。</p><p style=\"text-align: justify;\">从这个意义上，老黄真的是中本聪的副本，那个替中本聪留下来垄断了矿机生产、定义了 token 的使用场景和使用规范、而且一年一度在圣何塞 SAP Center 举办一场 show，告诉人们下一代支持 AI 训练和推理的“矿机”有多强的那个副本。</p><p style=\"text-align: justify;\">中本聪有一种欲望审慎的魅力，他设计完规则，交给代码，然后消失。这是密码朋克的浪漫。而老黄比任何科学家都像生意人，他设计了规则，亲自维护，不断添砖加瓦，筑牢自己的护城河。</p><p style=\"text-align: justify;\">你过去因为相信所以看见的那个 token，现在不用相信就能看见。它是瓦特、安培、比特之后的下一个。</p></body></html>","source":"lsy1773898294933","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; 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height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n黄仁勋即中本聪\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-03-19 13:30 北京时间 <a href=https://mp.weixin.qq.com/s/TSI7E4H8cUguM5S0H1m70w><strong>硅基立场</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>过去因为相信所以看见的那个 token，现在不用相信就能看见。它是瓦特、安培、比特之后的下一个。2009年1月，一个匿名者发明了一种叫 “token”的东西，你投入算力，获得 token，token在一个共识网络里流通、定价、交易。整个加密经济由此而生。十几年过去了，人们还在争论这种 token 到底有没有价值。2025年3月，一个穿皮衣的男人重新定义了另一种叫 token 的东西。你投入算力，...</p>\n\n<a href=\"https://mp.weixin.qq.com/s/TSI7E4H8cUguM5S0H1m70w\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/8b2937b89917d7346ec63f69ec7c3fcc","relate_stocks":{"NVDA":"英伟达"},"source_url":"https://mp.weixin.qq.com/s/TSI7E4H8cUguM5S0H1m70w","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1184216480","content_text":"过去因为相信所以看见的那个 token，现在不用相信就能看见。它是瓦特、安培、比特之后的下一个。2009年1月，一个匿名者发明了一种叫 “token”的东西，你投入算力，获得 token，token在一个共识网络里流通、定价、交易。整个加密经济由此而生。十几年过去了，人们还在争论这种 token 到底有没有价值。2025年3月，一个穿皮衣的男人重新定义了另一种叫 token 的东西。你投入算力，产出 token，token在一个 AI 推理（inference & reasoning ）过程中里被立刻消费掉：思考、推理、写代码、做决策。整个 AI 经济由此加速。没有人争论这种 token 有没有价值，因为你今天早上刚用掉了几百万个。两种 token，同一个名字，同一个底层结构：算力进去，有价值的东西出来。2026年3月，我坐在 NVIDIA GTC 会场里，听了黄仁勋一场几乎没有带货的主题演讲。是的，他发布了 Vera Rubin，一款 CPU 与 GPU 结合的产品。但这次，他没有讲芯片参数，没有讲制程工艺，他讲的是一套关于 token 生产、定价和消费的完整经济学——哪种模型，对应哪种 token 速度；哪种 token速度，对应哪个定价区间；哪个定价区间，需要什么级别的硬件来支撑。他甚至帮台下的 CEO 和掌握着企业支票本的决策者们做好了数据中心的算力分配方案：25%给免费层，25%给中端，25%给高端，25%给高溢价层。是的，这次他没有具体卖哪款 GPU 组，就像两年前卖 Blackwell 那样。但这次，他在卖一些更大的东西。两个小时下来，我觉得他最想讲的一句话其实是：Welcome to consume tokens, and only Nvidia's factory could produce。这一刻我意识到，这个男人，和17年前那个匿名者挖出了第一个 token 的人，做的是结构上完全相同的一件事。同一套转化规则化名为“中本聪”的那个匿名者，在2008年写了一篇九页的白皮书，设计了一套规则：投入算力，完成一个数学证明（Proof of Work），获得 crypto token 作为奖励。这个规则的精妙之处在于，他不需要任何人信任任何人——只要你接受这套规则，你就自动成为这个经济体的参与者。这个规则是对的，毕竟它让那么多尔虞我诈的人走到了一起。而黄仁勋在 GTC 2026的舞台上，做了一件结构上一模一样的事。他展示了一张图，彰显推理效率与 token 消耗的关系和张力：Y 轴是吞吐量（每兆瓦功耗产出多少 token），X 轴是交互性（每个用户感知到的 token 速度）。然后，他在 X 轴下面标了五个定价档：Free 用Qwen 3，$0/百万token；Medium 用 Kimi K2.5，$3/百万token；High 用 GPT MoE，$6/百万 token；Premium 用 GPT MoE 400K context，$45/百万 token；而 Ultra，$150/百万token。这张图几乎可以当作黄仁勋 “token 经济学” 的白皮书封面。中本聪定义了“什么是有价值的计算”——完成 SHA-256 哈希碰撞就是有价值的。而黄仁勋定义了“什么是有价值的推理”——在给定功耗约束下，以特定速度为特定场景产出 token就是有价值的。中本聪和黄仁勋都没有直接生产 token，他们定义的都是 token 的生产规则和定价机制。老黄在台上说的一句话，几乎可以直接写进 token 经济学白皮书的摘要——Tokens are the new commodity, and like all commodities, once it reaches an inflection, once it becomes mature, it will segment into different parts.Token是新的大宗商品。大宗商品成熟之后会自然分层。他不是在描述现状，他是在预判一个市场结构，然后把自己的硬件产品线，精确地铺在这个结构的每一层上。两种 token的生产过程，甚至有一个语义上的对称：挖矿叫 mining，推理叫 inference。挖矿和推理的本质，都是把电变成钱。矿工花电费挖 crypto token，然后卖掉，推理模型和 AI Agents 花电费产生 AI token，然后按百万计价卖给开发者。中间环节不同，两头都一样：左边是电表，右边是收入。稀缺性的两种写法中本聪做过的最重要的设计决策，不是 Proof of Work，是2100万枚的比特币总量上限。他用代码制造了人工稀缺——不管有多少矿机涌入，比特币的总量永远不会超过2100万枚。这个稀缺性是整个加密经济的价值锚。而黄仁勋，用物理定律制造了天然稀缺。他说——\"You still have to build a gigawatt data center. You still have to build a gigawatt factory, and that one gigawatt factory for 15 years amortized... is about $40 billion even when you put nothing on it. It's $40 billion. You better make for darn sure you put the best computer system on that thing so that you can have the best token cost.\"一个1GW 的数据中心永远不会变成 2GW。这不是代码限制，这是物理定律。土地、电力、散热——每一项都有物理上限。你花400美元亿建好的这个工厂，15年的生命周期里能产出多少 token，完全取决于你往里面放了什么计算架构。中本聪的稀缺性可以被 fork。不喜欢2100万枚的上限，fork一条新链，改成2亿枚，叫它以太币或什么鬼玩意儿，随你便，顺便再发个白皮书。而人们确实这么做了，乐此不疲。而老黄制造的稀缺性不能被fork。毕竟你不能 fork热力学第二定律，不能 fork一个城市的电网容量，不能 fork一块土地的物理面积。但无论是中本聪还是黄仁勋，他们创造的稀缺性都导致了同一个结果：硬件军备竞赛。挖矿的历史是：CPU→GPU→FPGA→ASIC。每一代专用硬件都让上一代变成废铁。而 AI 训练和推理的历史也正在重演：Hopper→Blackwell→Vera Rubin→Groq LPU。通用硬件起步，专用硬件定局。老黄今年 GTC 展示的 Groq LPU，那个收购了 Groq 之后发布的确定性数据流处理器。静态编译，编译器调度，没有动态调度，500MB片上SRAM——它架构哲学上就是推理领域的 ASIC。只做一件事，但做到极致。有意思的是：GPU 在两波浪潮里都扮演了关键角色。2013年前后，矿工们发现 GPU 比 CPU 更适合挖 crypto token，英伟达显卡被买断货。10年后，研究者们发现 GPU 是训练和推理 AI 模型的最佳工具，英伟达数据中心卡再次被买断货。GPU 作为一个处理器门类，先后服务了两代 token 经济。而区别在于，第一次英伟达是被动受益，然后也就没然后了。而第二次，在 AI 算力消费的主战场从预训练切换到推理测的时候，英伟达很快抓住机会主动设计了整个游戏，成为 AI 游戏规则的写入者。全世界最赚钱的铲子淘金热里最赚钱的不是淘金者，是卖铲子的 Levi Strauss。挖矿潮里最赚钱的不是矿工，是卖矿机的比特大陆和吴忌寒。AI 预训练和推理浪里最赚钱的不是基座模型和 Agent，而是卖 GPU 的英伟达。但讲真，比特大陆跟英伟达置于各自产业的角色，已不可同日语。比特大陆只卖矿机，英伟达还曾是比特大陆的供应商。你买了矿机，挖什么币、去哪个矿池、以什么价格卖出，都跟比特大陆无关。它是一个纯硬件供应商，赚的是一次性的设备利润。英伟达不一样。他不只卖硬件，现在，尤其是2025年推理侧 AI 爆发以来，它深度定义了应该用这款 GPU 挖什么 、如何给 token定价、token 卖给谁、数据中心应该怎么分配算力…… 这些都在老黄的演讲 PPT 里：他把市场分成五个 tier，每个 tier 对应什么模型、上下文长度、交互速度和价格……英伟达标准化、格式化了未来 AI 推理驱动一切的市场。2018年前后，全球算力集中在几个大矿池——F2Pool、Antpool、BTC.com——它们互相竞争算力份额，但矿机来源高度集中在比特大陆。一如今天的英伟达，60% 收入来自互相竞争的 “hyperscaler”，例如 AWS、Azure、GCP、Oracle、CoreWeave，而 40%来自分散的 AI Natives、主权AI 项目和企业客户。大“矿池”贡献主要营收，小“矿工”提供韧性和多元化。两套生态的结构一模一样。但比特大陆后来遇到了竞争对手——神马矿机、芯动科技、嘉楠耘智都在蚕食它的份额。矿机是相对简单的 ASIC 设计，追赶者有机会。而撼动英伟达似乎变得越来越难：20年的 CUDA 生态，数亿 GPU 的安装基数，NVLink六代互联技术，Groq 整合后的解耦推理架构——英伟达的技术复杂性和生态壁垒，让大部分的竞争工具都无效了。这可能得持续20年。两种 token 的根本分叉而让加密货币和 AI 训练和推理两种 token 产生本质不同的，是人们使用的动机和心理。Crypto token 的需求侧是投机。没有人“需要”比特币来完成工作。所有宣称区块链代币能帮你解决问题的白皮书都是骗子些的。你持有 crypto，是因为相信未来会有人以更高的价格从你手里买走它。比特币的价值来自一个自我实现的预言：足够多的人相信它有价值，它就有价值。这是信仰经济。而 AI token的需求侧是生产力。雀巢需要 token来做供应链决策——它的供应链数据从15分钟刷新一次变成3分钟刷新一次，成本降低83%，这个价值是可以直接映射到 P&L 上的。英伟达 100%的工程师已经需要 token 来写代码而不是手搓；研究团队需要 token 从事科研。你不需要相信 token有价值，你只需要用它，价值就在使用中自证了。这是两种 token最本质的区别。Crypto token被生产出来是为了被持有和交易——它的价值在于不使用。AI token 被生产出来是为了被立刻消费掉——它的价值在于被用掉的那一刻。一种是数字黄金，越囤越值钱；一种是数字电力，生产出来就烧掉。这个区别决定了：AI token 经济不会像 crypto token 经济一样泡沫化。比特币大起大落，因为投机品的价格由情绪驱动。但token 的价格由使用量和生产成本驱动，只要 AI 持续有用——只要人们还在用 Claude Code 写代码、用 ChatGPT 写报告、用 Agent 跑业务流程，token 的需求就不会崩。它不靠信仰，靠的是离不开。2008年，比特币白皮书需要反复一个去中心化的电子现金系统为什么有价值。17年过去了，人们还在争。2026年，token 经济学没有引发任何争论，它甚至不需要论证就成了共识。老黄站在 GTC 的舞台上说“tokens are the new commodity”的时候，没有人质疑。因为台下坐着的每一个人，今天早上都用 Claude Code 或者 ChatGPT消费了几百万个 token。他们不需要被说服 token有价值——他们的信用卡账单已经证明了。从这个意义上，老黄真的是中本聪的副本，那个替中本聪留下来垄断了矿机生产、定义了 token 的使用场景和使用规范、而且一年一度在圣何塞 SAP Center 举办一场 show，告诉人们下一代支持 AI 训练和推理的“矿机”有多强的那个副本。中本聪有一种欲望审慎的魅力，他设计完规则，交给代码，然后消失。这是密码朋克的浪漫。而老黄比任何科学家都像生意人，他设计了规则，亲自维护，不断添砖加瓦，筑牢自己的护城河。你过去因为相信所以看见的那个 token，现在不用相信就能看见。它是瓦特、安培、比特之后的下一个。","news_type":1,"symbols_score_info":{"NVDA":2}},"isVote":1,"tweetType":1,"viewCount":868,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":544424935989280,"gmtCreate":1773941733797,"gmtModify":1773941736345,"author":{"id":"3468529827816752","authorId":"3468529827816752","name":"盲人摸大象","avatar":"https://static.tigerbbs.com/bb02d1b702bab9b5f01bc747be51aef1","crmLevel":8,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3468529827816752","idStr":"3468529827816752"},"themes":[],"title":"","htmlText":"很有可能啊🤔","listText":"很有可能啊🤔","text":"很有可能啊🤔","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/544424935989280","repostId":"2620214523","repostType":4,"repost":{"id":"2620214523","kind":"highlight","weMediaInfo":{"introduction":"追踪全球财经热点，精选影响您财富的资讯，投资理财必备神器！","home_visible":1,"media_name":"华尔街见闻","id":"1084101182","head_image":"https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e"},"pubTimestamp":1773904288,"share":"https://www.laohu8.com/m/news/2620214523?lang=zh_CN&edition=full","pubTime":"2026-03-19 15:11","market":"us","language":"zh","title":"伊朗战争会是“美国金融危机”导火索吗？","url":"https://stock-news.laohu8.com/highlight/detail?id=2620214523","media":"华尔街见闻","summary":"霍尔木兹海峡封锁切断石油美元循环，每年数千亿中东资本或从AI产业链上撤离；与此同时，规模1.8万亿美元的美国私募信贷火药桶已从内部点燃——贝莱德冻结赎回、Apollo高管坦言贷款\"能收回20美分就不错\"。当战争从\"四周速决\"蔓延为第五个月，三重危机正向同一个引爆点狂奔。","content":"<html><head></head><body><p>一场远在中东的战争，正在精准地切断美国金融体系的“大动脉”。</p>\n<p>表面上看，霍尔木兹<a href=\"https://laohu8.com/S/002320\">海峡</a>的封锁只是一场地缘政治引发的能源危机；但在水面之下，它正在阻断一条支撑全球资本市场运转数十年的隐秘血脉——石油美元循环。</p>\n<p>更为致命的是，大洋彼岸的美国，一个规模庞大的火药桶早已咝咝作响：美国私募信贷市场正以加速度恶化，消费贷款基金冻结赎回、华尔街巨头紧急撤回债务发行、行业高管公开预警。</p>\n<p>当“中东断流”撞上“华尔街失血”，两条危机线索正以向着同一个终点狂奔：一场酝酿中的美国金融危机。</p>\n<p>以色列与伊朗的互相袭击向核心能源设施蔓延，华尔街最初“冲突几周就会结束”的幻想正在破灭。如果伊朗战争继续拖长，危机可能在同一个点上引爆。</p>\n<h2>石油美元：AI繁荣背后的中东资本</h2>\n<p>要理解这场危机的深层逻辑，必须先看懂全球金融机器里隐秘的齿轮：石油美元循环（Petrocapital Cycle）。</p>\n<p>这个概念最早由经济学家el-Gamal和Jaffe系统提出：<strong>海湾产油国将卖石油赚来的天量美元，以投资的形式重新注入国际金融市场。这不仅防止了中东国家内部通胀过热，更为全球信贷体系提供了源源不断的流动性。</strong></p>\n<p>自1973年石油危机诞生以来，这套循环就是支撑全球金融运转的隐形基石。历史早已证明，一旦这根血管被掐断，代价将是灾难性的。</p>\n<p>1979年石油冲击叠加1980年两伊战争，海湾国家为了打仗，将巨额资本从国际银行体系中疯狂抽离。结果是拉美国家资金链断裂，直接酿成了1982年拉美主权债务危机——这是历史上第一次由“石油美元断流”引发的系统性金融危机。</p>\n<p>如今，这套循环的规模已膨胀到令人咋舌的地步。截至2025年11月，仅阿联酋金融业持有的资产规模就高达1.4万亿美元。</p>\n<p>更重要的是，中东的钱，去哪了？答案是：硅谷和华尔街。</p>\n<p><strong>当下最炙手可热的AI赛道，无论是<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>的芯片、OpenAI的估值，还是私募市场里疯狂扩张的科技软件贷款，背后都站着中东金主。</strong></p>\n<p>去年沙特王储萨勒曼访美，不仅承诺将对美投资从6000亿飙升至1万亿美元，更直接点名“AI芯片与算力”是核心。随后，<a href=\"https://laohu8.com/S/GOOG\">谷歌</a>、<a href=\"https://laohu8.com/S/ORCL\">甲骨文</a>、<a href=\"https://laohu8.com/S/AMD\">AMD</a>等科技巨头与沙特签下800亿美元的“尖端技术”投资协议；沙特DataVolt更是豪掷200亿美元砸向美国AI数据中心。</p>\n<p>换句话说，中东的石油美元，早就深度焊死在了美国AI产业的资本链条上。</p>\n<p>然而，2月28日，齿轮卡壳了。</p>\n<p>霍尔木兹海峡关闭，伊朗布设水雷。惠誉起初还乐观预测“封锁一个月冲击温和”，但现实狠狠打了脸：海峡不仅长期受阻，关键油气基础设施更遭到持续轰炸。</p>\n<p>石油美元这条流向美国资本市场的大动脉，正在被战争死死勒紧。</p>\n<h2>私募信贷：已在燃烧的火药桶</h2>\n<p>如果说中东是外部断流，那么美国金融体系内部，一场危机早已悄然成形。</p>\n<p>在伊朗战争爆发前，华尔街的私募信贷市场就已经踩在了悬崖边上。而亲手推它下悬崖的，正是中东资本疯狂追捧的AI。</p>\n<p>过去几年，私募信贷野蛮生长，他们最喜欢干的事，就是把钱借给被私募股权收购的科技软件（SaaS）公司，赚取高额利差。瑞银和巴克莱的数据揭示了一个恐怖的集中度：私募信贷的贷款簿里，商业服务和信息技术加起来占比高达55%。</p>\n<p><strong>这本是一场完美的资本游戏，直到Anthropic的Claude横空出世。</strong></p>\n<p>AI开始以摧枯拉朽之势颠覆传统软件公司的商业模式。SaaS公司股价暴跌，它们偿还贷款的现金流瞬间成了画饼。底层资产烂了，私募信贷的多米诺骨牌随之倒塌。</p>\n<p>看看这份“崩盘时间表”：</p>\n<blockquote>\n<ul>\n<li>2月3日：私募信贷股票崩跌，“SaaS末日”冲击波蔓延；</li>\n<li>2月21日：巨头<a href=\"https://laohu8.com/S/OBDE\">Blue Owl</a>出现异常赎回，被华尔街视为“矿井里的金丝雀”；</li>\n<li>2月26日：瑞银警告，创纪录的“连锁违约”即将到来；</li>\n<li>3月5日：<a href=\"https://laohu8.com/S/BLK\">贝莱德</a>（BlackRock）直接将一笔私人贷款从面值100硬生生砍到0；</li>\n<li>3月6日：全球最大资管公司贝莱德对260亿美元基金实施“关门打狗”（限制赎回）；</li>\n<li>3月11日：<a href=\"https://laohu8.com/S/JPM\">摩根大通</a>下调抵押品估值，直接限制对私募机构放贷。</li>\n</ul>\n</blockquote>\n<p>目前，包括<a href=\"https://laohu8.com/S/BX\">黑石</a>、贝莱德、<a href=\"https://laohu8.com/S/MS\">摩根士丹利</a>在内的巨头，已经面临超101亿美元的赎回挤兑，且只能勉强兑付70%。</p>\n<p>行业大佬的表态更是扯下了最后一块遮羞布。Apollo联席总裁John Zito在瑞银内部会议上直言：一家普通中小型软件公司的贷款，能收回20到40美分就算不错了。至于赎回潮会持续多久？“我也不知道。”</p>\n<p>摩根大通连夜撤回了Qualtrics 53亿美元的债务发行。美银分析师更是将当下的空气，闻出了2008年次贷危机的味道——“当年大家都说次级贷款只是局部问题，直到它掀翻了整个世界。”</p>\n<h2>战争时间表：越拖越危险</h2>\n<p>面对如此脆弱的金融底座，美股为什么还没崩？</p>\n<p>因为华尔街的精英们还在死守一个假设：这只是一场速战速决的局部冲突。</p>\n<p>最初，TS Lombard全球政治研究董事总经理Christopher Granville的基准预测是：冲突最多持续四到五周，市场扛得住。</p>\n<p>但这层窗户纸，在3月18日被彻底捅破。</p>\n<p>当天，以色列直接炸了伊朗最大的天然气田；作为报复，伊朗当晚用导弹端了卡塔尔拉斯拉凡工业城（重要能源枢纽）。</p>\n<p><strong>Granville连夜修改报告，将预测从“短暂冲击”直接上调为“类似2022年俄乌战争的五个月能源震荡”。</strong>他极其悲观地指出：重开海峡的方案大概率会失败。虽然特朗普为了大选不想看到高油价，但他那句“封锁海峡是其他国家的问题”，让美国尽早介入平息战火的可能性变得微乎其微。</p>\n<p>Arbroath Group管理合伙人Christopher Smart更是点出了一个让人绝望的现实：“即便明天奇迹般停火，世界也已经明白——全球20%石油的自由通行，取决于伊朗未来政府的心情。”</p>\n<p>瑞银策略师Bhanu Baweja发出了最后的警告：华尔街习惯了“政策一出问题美联储就会救市”的巨婴模式，但他们根本没有为一场持久战做好准备。如果冲突拖到4月，油价可能击穿150美元/桶。</p>\n<h2>三重危机交汇</h2>\n<p>将这三条线索交织在一起，一幅金融危机路线图徐徐展开：</p>\n<ol>\n<li>源头断水： 战争切断石油美元循环，抽干了原本流向美国AI和资本市场的中东流动性；</li>\n<li>内部失血： 规模高达1.8万亿美元的私募信贷市场，正在AI的冲击下面临生死重估，挤兑与违约相互踩踏；</li>\n<li>战争长期化： 战争长期化带来的高油价，将死死锁住美联储降息的空间，让本就脆弱的信贷环境雪上加霜。</li>\n</ol>\n<p>危机从来不会以人们预想的方式降临。它总是从一个看似遥远的局部冲突开始，顺着隐秘的资本血脉，最终在最繁华的金融中心，引发一场无人幸免的雪崩。</p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>伊朗战争会是“美国金融危机”导火索吗？</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ 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margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n伊朗战争会是“美国金融危机”导火索吗？\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1084101182\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">华尔街见闻 </p>\n<p class=\"h-time\">2026-03-19 15:11</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><p>一场远在中东的战争，正在精准地切断美国金融体系的“大动脉”。</p>\n<p>表面上看，霍尔木兹<a href=\"https://laohu8.com/S/002320\">海峡</a>的封锁只是一场地缘政治引发的能源危机；但在水面之下，它正在阻断一条支撑全球资本市场运转数十年的隐秘血脉——石油美元循环。</p>\n<p>更为致命的是，大洋彼岸的美国，一个规模庞大的火药桶早已咝咝作响：美国私募信贷市场正以加速度恶化，消费贷款基金冻结赎回、华尔街巨头紧急撤回债务发行、行业高管公开预警。</p>\n<p>当“中东断流”撞上“华尔街失血”，两条危机线索正以向着同一个终点狂奔：一场酝酿中的美国金融危机。</p>\n<p>以色列与伊朗的互相袭击向核心能源设施蔓延，华尔街最初“冲突几周就会结束”的幻想正在破灭。如果伊朗战争继续拖长，危机可能在同一个点上引爆。</p>\n<h2>石油美元：AI繁荣背后的中东资本</h2>\n<p>要理解这场危机的深层逻辑，必须先看懂全球金融机器里隐秘的齿轮：石油美元循环（Petrocapital Cycle）。</p>\n<p>这个概念最早由经济学家el-Gamal和Jaffe系统提出：<strong>海湾产油国将卖石油赚来的天量美元，以投资的形式重新注入国际金融市场。这不仅防止了中东国家内部通胀过热，更为全球信贷体系提供了源源不断的流动性。</strong></p>\n<p>自1973年石油危机诞生以来，这套循环就是支撑全球金融运转的隐形基石。历史早已证明，一旦这根血管被掐断，代价将是灾难性的。</p>\n<p>1979年石油冲击叠加1980年两伊战争，海湾国家为了打仗，将巨额资本从国际银行体系中疯狂抽离。结果是拉美国家资金链断裂，直接酿成了1982年拉美主权债务危机——这是历史上第一次由“石油美元断流”引发的系统性金融危机。</p>\n<p>如今，这套循环的规模已膨胀到令人咋舌的地步。截至2025年11月，仅阿联酋金融业持有的资产规模就高达1.4万亿美元。</p>\n<p>更重要的是，中东的钱，去哪了？答案是：硅谷和华尔街。</p>\n<p><strong>当下最炙手可热的AI赛道，无论是<a href=\"https://laohu8.com/S/NVDA\">英伟达</a>的芯片、OpenAI的估值，还是私募市场里疯狂扩张的科技软件贷款，背后都站着中东金主。</strong></p>\n<p>去年沙特王储萨勒曼访美，不仅承诺将对美投资从6000亿飙升至1万亿美元，更直接点名“AI芯片与算力”是核心。随后，<a href=\"https://laohu8.com/S/GOOG\">谷歌</a>、<a href=\"https://laohu8.com/S/ORCL\">甲骨文</a>、<a href=\"https://laohu8.com/S/AMD\">AMD</a>等科技巨头与沙特签下800亿美元的“尖端技术”投资协议；沙特DataVolt更是豪掷200亿美元砸向美国AI数据中心。</p>\n<p>换句话说，中东的石油美元，早就深度焊死在了美国AI产业的资本链条上。</p>\n<p>然而，2月28日，齿轮卡壳了。</p>\n<p>霍尔木兹海峡关闭，伊朗布设水雷。惠誉起初还乐观预测“封锁一个月冲击温和”，但现实狠狠打了脸：海峡不仅长期受阻，关键油气基础设施更遭到持续轰炸。</p>\n<p>石油美元这条流向美国资本市场的大动脉，正在被战争死死勒紧。</p>\n<h2>私募信贷：已在燃烧的火药桶</h2>\n<p>如果说中东是外部断流，那么美国金融体系内部，一场危机早已悄然成形。</p>\n<p>在伊朗战争爆发前，华尔街的私募信贷市场就已经踩在了悬崖边上。而亲手推它下悬崖的，正是中东资本疯狂追捧的AI。</p>\n<p>过去几年，私募信贷野蛮生长，他们最喜欢干的事，就是把钱借给被私募股权收购的科技软件（SaaS）公司，赚取高额利差。瑞银和巴克莱的数据揭示了一个恐怖的集中度：私募信贷的贷款簿里，商业服务和信息技术加起来占比高达55%。</p>\n<p><strong>这本是一场完美的资本游戏，直到Anthropic的Claude横空出世。</strong></p>\n<p>AI开始以摧枯拉朽之势颠覆传统软件公司的商业模式。SaaS公司股价暴跌，它们偿还贷款的现金流瞬间成了画饼。底层资产烂了，私募信贷的多米诺骨牌随之倒塌。</p>\n<p>看看这份“崩盘时间表”：</p>\n<blockquote>\n<ul>\n<li>2月3日：私募信贷股票崩跌，“SaaS末日”冲击波蔓延；</li>\n<li>2月21日：巨头<a href=\"https://laohu8.com/S/OBDE\">Blue Owl</a>出现异常赎回，被华尔街视为“矿井里的金丝雀”；</li>\n<li>2月26日：瑞银警告，创纪录的“连锁违约”即将到来；</li>\n<li>3月5日：<a href=\"https://laohu8.com/S/BLK\">贝莱德</a>（BlackRock）直接将一笔私人贷款从面值100硬生生砍到0；</li>\n<li>3月6日：全球最大资管公司贝莱德对260亿美元基金实施“关门打狗”（限制赎回）；</li>\n<li>3月11日：<a href=\"https://laohu8.com/S/JPM\">摩根大通</a>下调抵押品估值，直接限制对私募机构放贷。</li>\n</ul>\n</blockquote>\n<p>目前，包括<a href=\"https://laohu8.com/S/BX\">黑石</a>、贝莱德、<a href=\"https://laohu8.com/S/MS\">摩根士丹利</a>在内的巨头，已经面临超101亿美元的赎回挤兑，且只能勉强兑付70%。</p>\n<p>行业大佬的表态更是扯下了最后一块遮羞布。Apollo联席总裁John Zito在瑞银内部会议上直言：一家普通中小型软件公司的贷款，能收回20到40美分就算不错了。至于赎回潮会持续多久？“我也不知道。”</p>\n<p>摩根大通连夜撤回了Qualtrics 53亿美元的债务发行。美银分析师更是将当下的空气，闻出了2008年次贷危机的味道——“当年大家都说次级贷款只是局部问题，直到它掀翻了整个世界。”</p>\n<h2>战争时间表：越拖越危险</h2>\n<p>面对如此脆弱的金融底座，美股为什么还没崩？</p>\n<p>因为华尔街的精英们还在死守一个假设：这只是一场速战速决的局部冲突。</p>\n<p>最初，TS Lombard全球政治研究董事总经理Christopher Granville的基准预测是：冲突最多持续四到五周，市场扛得住。</p>\n<p>但这层窗户纸，在3月18日被彻底捅破。</p>\n<p>当天，以色列直接炸了伊朗最大的天然气田；作为报复，伊朗当晚用导弹端了卡塔尔拉斯拉凡工业城（重要能源枢纽）。</p>\n<p><strong>Granville连夜修改报告，将预测从“短暂冲击”直接上调为“类似2022年俄乌战争的五个月能源震荡”。</strong>他极其悲观地指出：重开海峡的方案大概率会失败。虽然特朗普为了大选不想看到高油价，但他那句“封锁海峡是其他国家的问题”，让美国尽早介入平息战火的可能性变得微乎其微。</p>\n<p>Arbroath Group管理合伙人Christopher Smart更是点出了一个让人绝望的现实：“即便明天奇迹般停火，世界也已经明白——全球20%石油的自由通行，取决于伊朗未来政府的心情。”</p>\n<p>瑞银策略师Bhanu Baweja发出了最后的警告：华尔街习惯了“政策一出问题美联储就会救市”的巨婴模式，但他们根本没有为一场持久战做好准备。如果冲突拖到4月，油价可能击穿150美元/桶。</p>\n<h2>三重危机交汇</h2>\n<p>将这三条线索交织在一起，一幅金融危机路线图徐徐展开：</p>\n<ol>\n<li>源头断水： 战争切断石油美元循环，抽干了原本流向美国AI和资本市场的中东流动性；</li>\n<li>内部失血： 规模高达1.8万亿美元的私募信贷市场，正在AI的冲击下面临生死重估，挤兑与违约相互踩踏；</li>\n<li>战争长期化： 战争长期化带来的高油价，将死死锁住美联储降息的空间，让本就脆弱的信贷环境雪上加霜。</li>\n</ol>\n<p>危机从来不会以人们预想的方式降临。它总是从一个看似遥远的局部冲突开始，顺着隐秘的资本血脉，最终在最繁华的金融中心，引发一场无人幸免的雪崩。</p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/4bfb10b06725af696d5ea08c128fdad5","relate_stocks":{"BK4023":"应用软件","AIYY":"YIELDMAX AI OPTION INCOME STRATEGY ETF","XLE":"SPDR能源指数ETF","XOP":"油气开采指数ETF-SPDR S&P","AI":"C3.ai, Inc.","BK4543":"AI","BK4570":"地缘局势概念股","FAZ":"三倍做空金融ETF-Direxion","BK4551":"寇图资本持仓","BK4587":"ChatGPT概念","BK4528":"SaaS概念","BK4588":"碎股","BK4585":"ETF&股票定投概念"},"source_url":"https://wallstreetcn.com/articles/3767891","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2620214523","content_text":"一场远在中东的战争，正在精准地切断美国金融体系的“大动脉”。\n表面上看，霍尔木兹海峡的封锁只是一场地缘政治引发的能源危机；但在水面之下，它正在阻断一条支撑全球资本市场运转数十年的隐秘血脉——石油美元循环。\n更为致命的是，大洋彼岸的美国，一个规模庞大的火药桶早已咝咝作响：美国私募信贷市场正以加速度恶化，消费贷款基金冻结赎回、华尔街巨头紧急撤回债务发行、行业高管公开预警。\n当“中东断流”撞上“华尔街失血”，两条危机线索正以向着同一个终点狂奔：一场酝酿中的美国金融危机。\n以色列与伊朗的互相袭击向核心能源设施蔓延，华尔街最初“冲突几周就会结束”的幻想正在破灭。如果伊朗战争继续拖长，危机可能在同一个点上引爆。\n石油美元：AI繁荣背后的中东资本\n要理解这场危机的深层逻辑，必须先看懂全球金融机器里隐秘的齿轮：石油美元循环（Petrocapital Cycle）。\n这个概念最早由经济学家el-Gamal和Jaffe系统提出：海湾产油国将卖石油赚来的天量美元，以投资的形式重新注入国际金融市场。这不仅防止了中东国家内部通胀过热，更为全球信贷体系提供了源源不断的流动性。\n自1973年石油危机诞生以来，这套循环就是支撑全球金融运转的隐形基石。历史早已证明，一旦这根血管被掐断，代价将是灾难性的。\n1979年石油冲击叠加1980年两伊战争，海湾国家为了打仗，将巨额资本从国际银行体系中疯狂抽离。结果是拉美国家资金链断裂，直接酿成了1982年拉美主权债务危机——这是历史上第一次由“石油美元断流”引发的系统性金融危机。\n如今，这套循环的规模已膨胀到令人咋舌的地步。截至2025年11月，仅阿联酋金融业持有的资产规模就高达1.4万亿美元。\n更重要的是，中东的钱，去哪了？答案是：硅谷和华尔街。\n当下最炙手可热的AI赛道，无论是英伟达的芯片、OpenAI的估值，还是私募市场里疯狂扩张的科技软件贷款，背后都站着中东金主。\n去年沙特王储萨勒曼访美，不仅承诺将对美投资从6000亿飙升至1万亿美元，更直接点名“AI芯片与算力”是核心。随后，谷歌、甲骨文、AMD等科技巨头与沙特签下800亿美元的“尖端技术”投资协议；沙特DataVolt更是豪掷200亿美元砸向美国AI数据中心。\n换句话说，中东的石油美元，早就深度焊死在了美国AI产业的资本链条上。\n然而，2月28日，齿轮卡壳了。\n霍尔木兹海峡关闭，伊朗布设水雷。惠誉起初还乐观预测“封锁一个月冲击温和”，但现实狠狠打了脸：海峡不仅长期受阻，关键油气基础设施更遭到持续轰炸。\n石油美元这条流向美国资本市场的大动脉，正在被战争死死勒紧。\n私募信贷：已在燃烧的火药桶\n如果说中东是外部断流，那么美国金融体系内部，一场危机早已悄然成形。\n在伊朗战争爆发前，华尔街的私募信贷市场就已经踩在了悬崖边上。而亲手推它下悬崖的，正是中东资本疯狂追捧的AI。\n过去几年，私募信贷野蛮生长，他们最喜欢干的事，就是把钱借给被私募股权收购的科技软件（SaaS）公司，赚取高额利差。瑞银和巴克莱的数据揭示了一个恐怖的集中度：私募信贷的贷款簿里，商业服务和信息技术加起来占比高达55%。\n这本是一场完美的资本游戏，直到Anthropic的Claude横空出世。\nAI开始以摧枯拉朽之势颠覆传统软件公司的商业模式。SaaS公司股价暴跌，它们偿还贷款的现金流瞬间成了画饼。底层资产烂了，私募信贷的多米诺骨牌随之倒塌。\n看看这份“崩盘时间表”：\n\n\n2月3日：私募信贷股票崩跌，“SaaS末日”冲击波蔓延；\n2月21日：巨头Blue Owl出现异常赎回，被华尔街视为“矿井里的金丝雀”；\n2月26日：瑞银警告，创纪录的“连锁违约”即将到来；\n3月5日：贝莱德（BlackRock）直接将一笔私人贷款从面值100硬生生砍到0；\n3月6日：全球最大资管公司贝莱德对260亿美元基金实施“关门打狗”（限制赎回）；\n3月11日：摩根大通下调抵押品估值，直接限制对私募机构放贷。\n\n\n目前，包括黑石、贝莱德、摩根士丹利在内的巨头，已经面临超101亿美元的赎回挤兑，且只能勉强兑付70%。\n行业大佬的表态更是扯下了最后一块遮羞布。Apollo联席总裁John Zito在瑞银内部会议上直言：一家普通中小型软件公司的贷款，能收回20到40美分就算不错了。至于赎回潮会持续多久？“我也不知道。”\n摩根大通连夜撤回了Qualtrics 53亿美元的债务发行。美银分析师更是将当下的空气，闻出了2008年次贷危机的味道——“当年大家都说次级贷款只是局部问题，直到它掀翻了整个世界。”\n战争时间表：越拖越危险\n面对如此脆弱的金融底座，美股为什么还没崩？\n因为华尔街的精英们还在死守一个假设：这只是一场速战速决的局部冲突。\n最初，TS Lombard全球政治研究董事总经理Christopher Granville的基准预测是：冲突最多持续四到五周，市场扛得住。\n但这层窗户纸，在3月18日被彻底捅破。\n当天，以色列直接炸了伊朗最大的天然气田；作为报复，伊朗当晚用导弹端了卡塔尔拉斯拉凡工业城（重要能源枢纽）。\nGranville连夜修改报告，将预测从“短暂冲击”直接上调为“类似2022年俄乌战争的五个月能源震荡”。他极其悲观地指出：重开海峡的方案大概率会失败。虽然特朗普为了大选不想看到高油价，但他那句“封锁海峡是其他国家的问题”，让美国尽早介入平息战火的可能性变得微乎其微。\nArbroath Group管理合伙人Christopher Smart更是点出了一个让人绝望的现实：“即便明天奇迹般停火，世界也已经明白——全球20%石油的自由通行，取决于伊朗未来政府的心情。”\n瑞银策略师Bhanu Baweja发出了最后的警告：华尔街习惯了“政策一出问题美联储就会救市”的巨婴模式，但他们根本没有为一场持久战做好准备。如果冲突拖到4月，油价可能击穿150美元/桶。\n三重危机交汇\n将这三条线索交织在一起，一幅金融危机路线图徐徐展开：\n\n源头断水： 战争切断石油美元循环，抽干了原本流向美国AI和资本市场的中东流动性；\n内部失血： 规模高达1.8万亿美元的私募信贷市场，正在AI的冲击下面临生死重估，挤兑与违约相互踩踏；\n战争长期化： 战争长期化带来的高油价，将死死锁住美联储降息的空间，让本就脆弱的信贷环境雪上加霜。\n\n危机从来不会以人们预想的方式降临。它总是从一个看似遥远的局部冲突开始，顺着隐秘的资本血脉，最终在最繁华的金融中心，引发一场无人幸免的雪崩。","news_type":1,"symbols_score_info":{"XOP":0.9,"XLE":0.9,"AIYY":0.6,"FAZ":0.9,"AI":0.74}},"isVote":1,"tweetType":1,"viewCount":1095,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"CN","totalScore":0},{"id":544418049218528,"gmtCreate":1773940128564,"gmtModify":1773940130641,"author":{"id":"3468529827816752","authorId":"3468529827816752","name":"盲人摸大象","avatar":"https://static.tigerbbs.com/bb02d1b702bab9b5f01bc747be51aef1","crmLevel":8,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3468529827816752","idStr":"3468529827816752"},"themes":[],"title":"","htmlText":"1","listText":"1","text":"1","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/544418049218528","isVote":1,"tweetType":1,"viewCount":829,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":544332238233712,"gmtCreate":1773919106289,"gmtModify":1773919107964,"author":{"id":"3468529827816752","authorId":"3468529827816752","name":"盲人摸大象","avatar":"https://static.tigerbbs.com/bb02d1b702bab9b5f01bc747be51aef1","crmLevel":8,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3468529827816752","idStr":"3468529827816752"},"themes":[],"title":"","htmlText":"1","listText":"1","text":"1","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/544332238233712","isVote":1,"tweetType":1,"viewCount":922,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":544328987922656,"gmtCreate":1773918389338,"gmtModify":1773918391671,"author":{"id":"3468529827816752","authorId":"3468529827816752","name":"盲人摸大象","avatar":"https://static.tigerbbs.com/bb02d1b702bab9b5f01bc747be51aef1","crmLevel":8,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3468529827816752","idStr":"3468529827816752"},"themes":[],"title":"","htmlText":"[强] [强] [强] ","listText":"[强] [强] [强] ","text":"[强] [强] [强]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/544328987922656","repostId":"2620401041","repostType":2,"repost":{"id":"2620401041","kind":"news","pubTimestamp":1773791140,"share":"https://www.laohu8.com/m/news/2620401041?lang=zh_CN&edition=full","pubTime":"2026-03-18 07:45","market":"hk","language":"zh","title":"黄仁勋：有信心达成1万亿美元收入预判","url":"https://stock-news.laohu8.com/highlight/detail?id=2620401041","media":"南方财经网","summary":"南方财经3月18日电，当地时间3月17日，英伟达CEO黄仁勋在接受采访时表示，他提到的2025年至2027年收入1万亿美元的预判，只包含Blackwell和Rubin芯片的收入，不包含CPU等多元业务的收入。英伟达对这1万亿美元的收入预判是来自这部分业务的能见度和采购订单，英伟达对此有信心。","content":"<html><body><div>\n<p><img border=\"0\" height=\"276\" src=\"https://webquoteklinepic.eastmoney.com/GetPic.aspx?nid=105.NVDA&imageType=k&token=28dfeb41d35cc81d84b4664d7c23c49f&at=1\" width=\"578\"/></p><p> 南方财经3月18日电，当地时间3月17日，<span><a href=\"https://laohu8.com/S/NVDA\">英伟达</a></span><span></span>CEO黄仁勋在接受采访时表示，他提到的2025年至2027年收入1万亿美元的预判，只包含Blackwell和Rubin芯片的收入，不包含CPU等多元业务的收入。<span href=\"http://quote.eastmoney.com/unify/r/105.NVDA\" target=\"_blank\" web=\"1\">英伟达</span>对这1万亿美元的收入预判是来自这部分业务的能见度和采购订单，<span href=\"http://quote.eastmoney.com/unify/r/105.NVDA\" target=\"_blank\" web=\"1\">英伟达</span>对此有信心。（第一财经） </p><p>（文章来源：南方财经网）</p> </div></body></html>","source":"stock_eastmoney","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>黄仁勋：有信心达成1万亿美元收入预判</title>\n<style 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}\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n黄仁勋：有信心达成1万亿美元收入预判\n</h2>\n\n<h4 class=\"meta\">\n\n\n2026-03-18 07:45 北京时间 <a href=http://finance.eastmoney.com/a/202603183675177985.html><strong>南方财经网</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>南方财经3月18日电，当地时间3月17日，英伟达CEO黄仁勋在接受采访时表示，他提到的2025年至2027年收入1万亿美元的预判，只包含Blackwell和Rubin芯片的收入，不包含CPU等多元业务的收入。英伟达对这1万亿美元的收入预判是来自这部分业务的能见度和采购订单，英伟达对此有信心。（第一财经） （文章来源：南方财经网）</p>\n\n<a href=\"http://finance.eastmoney.com/a/202603183675177985.html\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU0124676726.USD":"AB SICAV I - SUSTAINABLE US THEMATIC PORTFOLIO \"A\" (USD) ACC","BK4592":"伊斯兰概念","LU1066053197.SGD":"HSBC GIF GLOBAL EQUITY VOLATILITY FOCUSED \"AM3\" (SGDHDG) INC","LU0979878070.USD":"FULLERTON LUX FUNDS - ASIA ABSOLUTE ALPHA \"A\" (USD) ACC","LU0965508806.USD":"AB LOW VOLATILITY EQUITY PORTFOLIO \"AD\" (USD) INC","BK4549":"软银资本持仓","LU2065170008.USD":"M&G (LUX) GLOBAL MAXIMA \"A\" (USD) INC","IE0004086264.USD":"BNY MELLON GLOBAL OPPORTUNITIES \"A\" (USD) ACC","LU2491049909.HKD":"WELLINGTON SUSTAINABLE OUTCOMES \"A\" (HKD) ACC","LU0528227936.USD":"富达环球人口趋势基金A-ACC","BK4548":"巴美列捷福持仓","LU2357305700.SGD":"Allianz Global Artificial Intelligence ET H2-SGD","LU2491050071.SGD":"WELLINGTON SUSTAINABLE OUTCOMES \"A\" (SGDHDG) ACC","LU0289961442.SGD":"SUSTAINABLE GLOBAL THEMATIC PORTFOLIO \"AX\" (SGD) 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（文章来源：南方财经网）","news_type":1,"symbols_score_info":{"NVDQ":0.6,"NVD2.UK":0.6,"NVDG":0.6,"3NVD.UK":0.6,"NVDU":0.6,"2NVD.UK":0.6,"NVDD":0.6,"NVDB":0.6,"NVD3.UK":0.6,"SNVD.UK":0.6,"NVD":0.6,"NVDW":0.6,"ANV":0.6,"NVIW.SI":0.6,"DIPS":0.6,"NVDS":0.6,"NVDS.UK":0.6,"NVDY":0.6,"NVDA":1.94,"NVDX":0.6,"NVII":0.6}},"isVote":1,"tweetType":1,"viewCount":955,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":544328642262560,"gmtCreate":1773918238070,"gmtModify":1773918240143,"author":{"id":"3468529827816752","authorId":"3468529827816752","name":"盲人摸大象","avatar":"https://static.tigerbbs.com/bb02d1b702bab9b5f01bc747be51aef1","crmLevel":8,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3468529827816752","idStr":"3468529827816752"},"themes":[],"title":"","htmlText":"1","listText":"1","text":"1","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/544328642262560","repostId":"2620075292","repostType":2,"repost":{"id":"2620075292","kind":"highlight","weMediaInfo":{"introduction":"链捕手ChainCatcher 成立于 2018 年，是一家领先的中文 Web3 媒体及数据服务商。","home_visible":1,"media_name":"链捕手","id":"1041503808","head_image":"https://community-static.tradeup.com/news/64f0784cc29a0d0070f6e968ef6ec7f5"},"pubTimestamp":1773885026,"share":"https://www.laohu8.com/m/news/2620075292?lang=zh_CN&edition=full","pubTime":"2026-03-19 09:50","market":"fut","language":"zh","title":"马斯克：SpaceX AI 和特斯拉预计将大规模持续订购英伟达芯片","url":"https://stock-news.laohu8.com/highlight/detail?id=2620075292","media":"链捕手","summary":" ChainCatcher 消息，马斯克表示，SpaceX AI 和特斯拉 (TSLA.O) 预计将大规模持续订购英伟达 (NVDA.O) 芯片。 ","content":"<html><body><p><span>ChainCatcher 消息，马斯克表示，SpaceX AI 和<a href=\"https://laohu8.com/S/TSLA\">特斯拉</a> (TSLA.O) 预计将大规模持续订购<a href=\"https://laohu8.com/S/NVDA\">英伟达</a> (NVDA.O) 芯片。</span></p></body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>马斯克：SpaceX AI 和特斯拉预计将大规模持续订购英伟达芯片</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n马斯克：SpaceX AI 和特斯拉预计将大规模持续订购英伟达芯片\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1041503808\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://community-static.tradeup.com/news/64f0784cc29a0d0070f6e968ef6ec7f5);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">链捕手 </p>\n<p class=\"h-time\">2026-03-19 09:50</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><body><p><span>ChainCatcher 消息，马斯克表示，SpaceX AI 和<a href=\"https://laohu8.com/S/TSLA\">特斯拉</a> (TSLA.O) 预计将大规模持续订购<a href=\"https://laohu8.com/S/NVDA\">英伟达</a> (NVDA.O) 芯片。</span></p></body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU0640476718.USD":"THREADNEEDLE (LUX) US CONTRARIAN CORE EQ \"AU\" (USD) ACC","LU0466842654.USD":"HSBC ISLAMIC GLOBAL EQUITY INDEX \"A\" (USD) ACC","IE0009G5SDU7.USD":"PIMCO BALANCED INCOME AND GROWTH \"M\" (USD) INC","LU0097036916.USD":"贝莱德美国增长A2 USD","BK4585":"ETF&股票定投概念","IE0001KFT4U8.USD":"FTGF CLEARBRIDGE GLOBAL GROWTH LEADERS \"A\" (USD) INC","IE00B1XK9C88.USD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A\" 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class=\"h-name\">异动解读 </p>\n<p class=\"h-time\">2026-03-19 16:07</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>2倍做多白银ETF-ProShares（AGQ）今日盘前股价大跌11.27%，引起了市场的广泛关注。</p><p>消息面上，此次下跌主要受到白银期货价格大幅走弱的拖累。美联储在近期会议上宣布维持利率不变，且降息预期进一步收敛，对金银等贵金属价格形成压制。同时，中东地缘冲突持续发酵，市场情绪偏向谨慎，加剧了白银的抛售压力。</p><p>作为追踪白银价格并带有两倍杠杆的ETF，AGQ的波动幅度被显著放大。隔夜交易中，COMEX白银期货价格一度下跌超7%，现货白银也大幅下挫，直接导致了该杠杆ETF的剧烈下跌。</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"AGQ":"2倍做多白银ETF-ProShares"},"source_url":"","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1126067483","content_text":"2倍做多白银ETF-ProShares（AGQ）今日盘前股价大跌11.27%，引起了市场的广泛关注。消息面上，此次下跌主要受到白银期货价格大幅走弱的拖累。美联储在近期会议上宣布维持利率不变，且降息预期进一步收敛，对金银等贵金属价格形成压制。同时，中东地缘冲突持续发酵，市场情绪偏向谨慎，加剧了白银的抛售压力。作为追踪白银价格并带有两倍杠杆的ETF，AGQ的波动幅度被显著放大。隔夜交易中，COMEX白银期货价格一度下跌超7%，现货白银也大幅下挫，直接导致了该杠杆ETF的剧烈下跌。","news_type":1,"symbols_score_info":{"AGQ":1}},"isVote":1,"tweetType":1,"viewCount":888,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":544322680864880,"gmtCreate":1773916772947,"gmtModify":1773916774767,"author":{"id":"3468529827816752","authorId":"3468529827816752","name":"盲人摸大象","avatar":"https://static.tigerbbs.com/bb02d1b702bab9b5f01bc747be51aef1","crmLevel":8,"crmLevelSwitch":1,"followedFlag":false,"authorIdStr":"3468529827816752","idStr":"3468529827816752"},"themes":[],"title":"","htmlText":"1","listText":"1","text":"1","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://laohu8.com/post/544322680864880","repostId":"1176243321","repostType":2,"repost":{"id":"1176243321","kind":"news","weMediaInfo":{"introduction":"个股异动一手消息解读","home_visible":1,"media_name":"异动解读","id":"1092702339","head_image":"https://static.tigerbbs.com/a81accab1e7ee4144dc051f71903a390"},"pubTimestamp":1773908968,"share":"https://www.laohu8.com/m/news/1176243321?lang=zh_CN&edition=full","pubTime":"2026-03-19 16:29","market":"us","language":"zh","title":"异动解读 | 2倍做多黄金ETF盘前大跌5.14%，受美联储鹰派立场及中东冲突打压","url":"https://stock-news.laohu8.com/highlight/detail?id=1176243321","media":"异动解读","summary":"2倍做多黄金ETF-ProShares今日盘前股价大跌5.14%，引起了市场的广泛关注。消息面上，此次下跌主要受到多重因素影响。首先，美联储在最新议息会议上宣布维持利率不变，且点阵图显示决策者预计今年仅会降息一次，释放出偏鹰派的信号，这削弱了黄金作为无息资产的吸引力。","content":"<p>2倍做多黄金ETF-ProShares（UGL）今日盘前股价大跌5.14%，引起了市场的广泛关注。</p><p>消息面上，此次下跌主要受到多重因素影响。首先，美联储在最新议息会议上宣布维持利率不变，且点阵图显示决策者预计今年仅会降息一次，释放出偏鹰派的信号，这削弱了黄金作为无息资产的吸引力。其次，中东地缘冲突急剧升级，伊朗威胁打击沙特、阿联酋和卡塔尔的石油设施，导致国际油价飙升，加剧了市场对通胀上行的担忧，进而强化了美联储将利率维持在高位更长时间的预期，对金价构成直接压力。</p><p>此外，在市场避险情绪升温的背景下，资金并未完全流入黄金，反而更多地涌向美元等流动性更强的资产，推动美元指数走强，这也进一步打压了以美元计价的黄金价格。</p>","source":"ai_movement_cn","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>异动解读 | 2倍做多黄金ETF盘前大跌5.14%，受美联储鹰派立场及中东冲突打压</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ 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class=\"h-time\">2026-03-19 16:29</p>\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<p>2倍做多黄金ETF-ProShares（UGL）今日盘前股价大跌5.14%，引起了市场的广泛关注。</p><p>消息面上，此次下跌主要受到多重因素影响。首先，美联储在最新议息会议上宣布维持利率不变，且点阵图显示决策者预计今年仅会降息一次，释放出偏鹰派的信号，这削弱了黄金作为无息资产的吸引力。其次，中东地缘冲突急剧升级，伊朗威胁打击沙特、阿联酋和卡塔尔的石油设施，导致国际油价飙升，加剧了市场对通胀上行的担忧，进而强化了美联储将利率维持在高位更长时间的预期，对金价构成直接压力。</p><p>此外，在市场避险情绪升温的背景下，资金并未完全流入黄金，反而更多地涌向美元等流动性更强的资产，推动美元指数走强，这也进一步打压了以美元计价的黄金价格。</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"UGL":"2倍做多黄金ETF-ProShares"},"source_url":"","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"1176243321","content_text":"2倍做多黄金ETF-ProShares（UGL）今日盘前股价大跌5.14%，引起了市场的广泛关注。消息面上，此次下跌主要受到多重因素影响。首先，美联储在最新议息会议上宣布维持利率不变，且点阵图显示决策者预计今年仅会降息一次，释放出偏鹰派的信号，这削弱了黄金作为无息资产的吸引力。其次，中东地缘冲突急剧升级，伊朗威胁打击沙特、阿联酋和卡塔尔的石油设施，导致国际油价飙升，加剧了市场对通胀上行的担忧，进而强化了美联储将利率维持在高位更长时间的预期，对金价构成直接压力。此外，在市场避险情绪升温的背景下，资金并未完全流入黄金，反而更多地涌向美元等流动性更强的资产，推动美元指数走强，这也进一步打压了以美元计价的黄金价格。","news_type":1,"symbols_score_info":{"UGL":1}},"isVote":1,"tweetType":1,"viewCount":767,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"defaultTab":"posts","isTTM":false}