两大顶流齐声看好AI前景！马斯克高呼“AI巨浪已至”，木头姐高调预测美国GDP将迎两位数增长_老虎社区_美港股上老虎

两大顶流齐声看好AI前景！马斯克高呼“AI巨浪已至”，木头姐高调预测美国GDP将迎两位数增长

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智通财经APP获悉，当美国经济在2026年二季度仅录得1.5%的实际GDP增长之际，被称为“木头姐”的ARK Invest首席执行官Cathie Wood却发出了一个令市场瞠目的预测：人工智能的指数级扩张，正将美国实际GDP增速推向两位数的区间。这一断言并非孤立的喊话，而是基于一组令传统投资者难以理解的数据：AI推理Token用量在一年内增长了25倍，且仍在以指数级速度倍增。周末，特斯拉与...

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Musk proclaimed, \"The AI giant wave has arrived,\" and Sister Wood made a high-profile prediction that US GDP would see double-digit growth.","themeId":null,"isJumpTheme":false,"ttsUrl":"https://static.tigerbbs.com/2361a0aefa18710ee417d6bcd65d664c","symbols_score_info":{"TSLA":1.88,"TESL":0.6,"TSLY":0.6,"ELOL":0.6,"SMOG":0.6,"TSLQ":0.6,"TSLI":0.6,"TSL":0.6,"TEST":0.6,"TSLR":0.6,"TSDD":0.6,"TLA":0.6,"TSII":0.6,"07366":0.6,"FDRV":0.6,"TSLP":0.6,"TSLT":0.6,"TSLL":0.6,"WATS":0.6,"TSLW":0.6,"WANT":0.6,"09366":0.6,"07766":0.6,"TESC":0.6,"TSLS":0.6,"CRSH":0.6,"TSLG":0.6,"ARKK":1.86,"STSLAmain":0.6,"IDRV":0.6,"LIT":0.6,"TSLZ":0.6,"TSYY":0.6,"TSLO":0.6,"09766":0.6},"content_text":"智通财经APP获悉，当美国经济在2026年二季度仅录得1.5%的实际GDP增长之际，被称为“木头姐”的ARK Invest首席执行官Cathie  Wood却发出了一个令市场瞠目的预测：人工智能的指数级扩张，正将美国实际GDP增速推向两位数的区间。这一断言并非孤立的喊话，而是基于一组令传统投资者难以理解的数据：AI推理Token用量在一年内增长了25倍，且仍在以指数级速度倍增。周末，特斯拉与SpaceX首席执行官埃隆·马斯克公开背书了这一判断，直言“AI的巨浪已经开始了”。这场由“木头姐”点燃、马斯克亲手加冕的AI宏观叙事，正在将资本市场推向一个全新的定价逻辑——而传统企业，可能成为这场变革中最大的输家。Token的“25倍跃迁”：从微观到宏观的传导逻辑Wood在X平台上写道：“当我试图解释推理Token用量在一年内增长了25倍，且正以指数级倍增、如瀑布般席卷整个经济，并很可能将每年的实际GDP增长推至两位数时，许多客户和公司根本无法理解。”Wood是在回应马斯克的一篇帖子，马斯克在帖子中宣称“人工智能的浪潮已经开始了”。为了帮助投资者理解“25倍”的真正含义，Wood在后续帖子中做了一次通俗的量化：“因为从未经历过25倍的增长，大多数投资者听到25这个数字时，脑子里会自动换算成25%——这在历史上确实是很好的增长。但25倍是另一个维度的投资概念：100个单位增长，不是变成125，而是飙升至2500!”这一微观数据的爆发式增长，根植于AI推理成本的断崖式下降。根据ARK年初发布的《Big Ideas  2026》报告，AI单位推理成本下降了超过90%，直接刺激了企业对AI算力的快速采用。在某些基准测试中，推理成本的年降幅甚至高达99%，训练成本则以每年约75%的速度下降。从成本坍塌到需求爆炸，再到宏观经济增长，ARK的逻辑链条清晰而激进：更便宜的AI推理→更多Token消耗→更多经济活动的AI化→生产力跃升。Wood此前预测，AI驱动的生产力增长有望在2026年将实际GDP增速推至接近5%的“金发姑娘”水平，而如今她进一步上调至两位数。ARK的模型假设5%至7%的生产率增长、约1%的劳动力增长，以及负2%至正1%的通胀区间，共同支撑起6%至8%的名义GDP增长。Wood强调，由AI驱动的生产力增长往往会降低通胀而非推高通胀——这一判断与美国二季度3.7%的PCE通胀数据形成了鲜明对比。然而，伍德的激进预测与美国经济的现实数据之间横亘着一条巨大的鸿沟。美国商务部7月30日公布的初步数据显示，2026年第二季度美国实际GDP年化增速已放缓至1.5%，不仅低于第一季度的2.1%，也远低于经济学家普遍预测的2.1%。残酷警告：传统企业面临“资本黑洞”，AI正在吸走整个经济的资本如果说Wood的GDP预测是这场叙事的“进攻端”，那么ARK首席未来学家Brett  Winton的警告则是这场变革的“防守端”——而且其杀伤力可能远超大多数人的想象。Winton在X上抛出了一个足以让任何传统行业CEO失眠的判断：“AI基础设施的快速投资回收期和极高的内部收益率(IRR)，即使规模巨大，也将推高更广泛的资本成本，足以将许多传统企业推入深渊——即使是那些没有明显直接受到AI冲击的企业也不例外。”Winton的逻辑链条精悍而致命：AI基础设施的投资回报率“高得离谱”，且回收期越来越短。只要这种超高回报持续存在，资本就会像闻到血腥味的鲨鱼一样，不断涌向GPU、数据中心和AI公司。最终的结果是：很多传统企业甚至不必真正遭遇AI竞争——资本会先离开它们。融资变贵、投资者要求更高回报——一些原本还能正常经营的公司，可能被慢慢挤出市场。Wood随后补充了另一组数据来支撑这一宏观叙事：前沿AI实验室的收入在半年到一年内增长了5到10倍;部分受益于AI红利的成熟公司，收入增速已从25%重新加速到30%至40%以上。她形容许多投资者“就像被车灯照住的鹿”——已经看到变化冲过来了，但还没理解这到底意味着什么。摩根大通的量化佐证这一逻辑正在被宏观数据所印证。摩根大通在6月预测，到2030年AI相关债务融资可能达到4.1万亿美元，同期AI资本支出总额将攀升至5.5万亿美元。贷款平均覆盖项目总成本的85%，推动企业利用“每一个资本市场”来满足增长融资需求。具体而言，摩根大通预测未来五年高评级债券市场将为数据中心提供2.1万亿美元的融资，杠杆融资市场提供3500亿美元，另有1万亿美元来自内部现金流、4000亿美元来自增量股权资本、3000亿美元来自结构化产品。报告指出，超大规模数据中心运营商仍保持着“惊人的盈利能力”，预计到2027年这些公司的现金流将超过9000亿美元。与此同时，由于三星电子、SK海力士和美光科技的内存成本飙升，英伟达已向微软、谷歌、甲骨文等核心客户发出调价通知，搭载其AI芯片的服务器价格将普遍上涨超过15%，自2027年初出货起生效。当“资本虹吸”成为AI时代的最大变量，“资本流向”范式转移悄然开始当Wood在X平台上写下“很多客户和公司根本不懂”时，她所指的或许不仅是市场对AI技术扩散速度的误判，更是对AI正在系统性改变全球资本配置逻辑这一深层趋势的忽视。Wood与马斯克这场跨越X平台的“AI  GDP对话”，其真正价值不在于预测的准确性，而在于揭示了一个正在发生但鲜被正视的结构性变化：AI正在成为一台巨大的资本虹吸机器。那些与AI无关的传统企业，不是因为技术落后而死亡——而是因为钱被AI吸走了而慢慢窒息。这是一场由资本回报率差异驱动的、无声的“去工业化”进程。正如温顿所言，过去我们总在讨论AI会抢谁的工作、抢谁的收入。接下来的问题可能更为根本：当AI行业长期提供远高于传统行业的资本回报率时，它会不会把整个经济里的钱都吸过去?如果答案是肯定的，那么AI真正开始冲击传统行业的标志，或许不是它做出了更强的模型——而是资本开始用脚投票。伍德的25倍Token增长和两位数GDP预测，正是这场范式转移的早期回响。这些数字共同描绘的图景，远超“科技股涨跌”的范畴。它指向一个更根本的问题：当AI行业的资本回报率长期远高于传统行业时，整个经济体的资源配置逻辑将被彻底改写。","kind":"highlight","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":false,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":1,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"hasMoreComments":false,"newsSizeData":{"likeSize":1,"commentSize":0,"repostSize":0,"favoriteSize":1,"likeStatus":false,"favoriteStatus":false},"isCrawlerRequest":true}