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挖矿的小羊
挖矿的小羊
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谷歌借了250亿美元,AI大神跑了4个——这场竞赛终于露出了真面目 昨天,Alphabet干了件事。 发债250亿美元。 分了10档,从2年到40年,最长的那档收益率比国债高1.3个百分点。 然后呢?1150亿美元的订单涌进来。 超了4倍多。 市场一边为AI债券疯狂,一边——Alphabet的股价当天跌了1.4%。 钱借到了,市场不买账。 你可能会问:250亿美元,很多吗? 多。但放在谷歌的AI账单面前,不够看。 7月底,Alphabet刚把2026年资本开支预期上调到最高2050亿美元。是2025年的两倍多。 代价是什么? 谷歌自2004年IPO以来,第一次单季自由现金流转负。 赚的钱全砸进去了,还不够。 于是发债。250亿。不够?再发。 自2025年初以来,Alphabet累计债券融资超过1140亿美元。今年上半年光是债务融资就超500亿,还发了近850亿的股票。 一家公司,两年,借了2000亿美元。 全砸AI里了。 但这还不是最扎心的。 就在发债的同一天,另一件事也在发生。 谷歌首席科学家Jeff Dean,在干了27年后,走了。 带着三个顶级研究员,一起走了。 创办了一家叫Discovery Loop的AI公司。 同一天,DeepMind的CEO、诺奖得主哈萨比斯卸任日常管理,转任董事长兼首席科学家。 名义上是升了,实际上是——搞研究的人,被请出了决策桌。 谷歌把AI部门拆成了三条路:追产品的人留下,想未来的人靠边,要自由的人出走。 消息一出,Alphabet股价两天跌了超过5%。 这两件事放在一起,画面就清晰了—— 一边是250亿发债,一边是4个AI大神出走。 一边是疯狂砸钱建数据中心、买算力、堆模型,一边是核心人才在流失。 钱在往里冲,人在往外走。 这说明了什么? AI竞赛,已经正式进入第二阶段了。 第一阶段是什么?技术突破。谁先做出好模型,谁就赢。 谷歌有Transformer,有DeepMind,有Jeff Dean——技术储备全球第一。 但第二阶段,拼的是两样东西:资本和人才。 钱,Alphabet有——2050亿资本开支,1140亿债券融资,账上还有现金。 但人才呢? 过去半年,谷歌的AI人才在批量流失。Gemini共同负责人去了OpenAI,核心研究员去了Anthropic。现在连Jeff Dean都走了。 你花2000亿建的算力中心,谁来用?你花2050亿训练的大模型,谁来迭代? AI竞争,未来更依赖技术突破,还是资金投入? 我的答案是——都不是。 未来依赖的是“有钱留住人,有人花掉钱”的正循环。 钱能买算力,但算力需要人调。人能出技术,但技术需要钱堆。 缺一个,就是死循环。 Alphabet现在的情况是——钱够多,但人在跑。 Jeff Dean不是第一个,也不会是最后一个。 当一个公司的AI战略变成“砸钱就行”的时候,真正懂AI的人会怎么想? “我的价值,不在你的资产负债表上。” 250亿美元能买来服务器,买不来27年的技术信仰。 2050亿美元能堆出算力,堆不出下一个Transformer。 $GOOGL $MSFT $AMZN #谷歌母公司发债250亿美元,AI投入压力升温
挖矿的小羊
挖矿的小羊
SanDisk fell 8% after hours, Western Digital dropped 11% after hours. The better the performance, the harder the fall. The entire storage sector collapsed—SK Hynix dropped more than 10% intraday, Samsung fell over 6%, Kioxia plummeted more than 10%. Those holding storage stocks were completely stunned. "372% growth, isn’t that enough?" Not enough. Far from it. Where’s the problem? Two words: expectations. SanDisk’s next quarter revenue guidance midpoint is $10.55 billion, while the market expectation is $11.15 billion. A difference of less than 6%, yet the stock price crashed 9%. Western Digital is even more unfair—next quarter guidance midpoint is $4.1 billion, actually higher than analysts’ expectation of $4.06 billion. But it still fell 15% after hours. Goldman Sachs summed it up in one sentence: "The core contradiction currently facing the storage industry is not a deterioration in fundamentals, but that market expectations have excessively outpaced reality." In plain terms— It’s not that storage is failing, it’s that market expectations for storage have reached the point where "you must be perfect to the extent that even guidance has to be significantly revised upward." SanDisk has risen 460% this year, Western Digital 200%. All the positives have long been priced in. But what really alerted me was another piece of news. NVIDIA is evaluating reducing the HBM configuration of Rubin Ultra. What does that mean? NVIDIA’s next-generation AI flagship GPU originally planned to be equipped with 1TB of HBM4e 12hi memory. Now, due to extremely tight HBM supply, they are considering switching to the 8hi version or even downgrading to HBM4. Video memory capacity may be cut by one-third. The world’s strongest AI chip company is forced to "downgrade" proactively. This is not a lack of demand. This is a supply bottleneck so severe that even NVIDIA can’t handle it. This leads to a deeper contradiction— Is supply shortage a boon or a constraint? In the past two years, the market treated "supply shortage" as the biggest positive—rising prices, soaring gross margins, explosive earnings growth. But now the script has changed. Supply shortage → insufficient HBM capacity → NVIDIA forced to downgrade → AI chip performance discounted → cloud providers need to buy more GPUs → higher costs → AI infrastructure efficiency declines. Each link in this transmission chain erodes the underlying logic of the "AI storage bull market." What’s even more painful—Samsung, SK Hynix, and Micron have already sold out their HBM capacity through 2027. Customers ultimately receive only 60%-70% of what they initially applied for. Demand is still rising, but capacity is locked until 2027. This is not a "good day of supply shortage," this is a "prisoner’s dilemma strangled by capacity." The divergence is turning into a rift. Citigroup says: low inventory, supply-demand fulfillment rate dropped from 70% to 50%, prices can still rise. Morgan Stanley says: memory contract prices peak in Q4. Renqiao Asset says: the storage industry has likely already peaked. Who is right or wrong? I don’t know. But I know one thing— When everyone in an industry believes "supply shortage = perpetual price increases," the real risk is never in supply and demand itself— But in the fact that "everyone believes it." Back to investing. If you ask me: will I continue to invest in storage now? My answer is: yes, but no longer blindly buying. AI’s demand for storage is real, structural, and long-term. SanDisk has signed 10 long-term agreements covering 8 customers, with minimum contract revenue of $93.9 billion, and more than half of 2027 supply already locked in. This is not a bubble. This is real, hard demand. But stock price fluctuations never depend on "whether demand is real"—they depend on "whether expectations can get higher." When expectations are already so high that "372% growth is still not enough"— every penny you earn is a bet against the market’s most extreme optimism. $XSNDK $WDC $XSKHY #存储股财报后下挫,AI内存牛市还稳吗?

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