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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% in after-hours trading, and Western Digital dropped 11% in after-hours trading. The better the performance, the harder the drop. The entire storage sector also crashed—SK Hynix fell over 10% intraday, Samsung dropped over 6%, and Kioxia plunged over 10%. The person holding the storage shares was completely stunned. "372% growth—isn't that enough?" Not enough. Far from enough. Where did the problem lie? Two words: expectations. SanDisk's median next quarter revenue guidance is $10.55 billion, with market expectations of $11.15 billion. The gap was less than 6%, and the stock price crashed by 9%. Western Digital was even more unlucky — the median guidance for next quarter was $4.1 billion, actually higher than analysts' expectations of $4.06 billion. But it still fell 15% after hours. Goldman Sachs summed it up in one sentence: "The core issue facing the current storage industry is not fundamentals deteriorating, but that market expectations have exceeded reality." To put it plainly— It's not that storage is failing; the market's expectations for storage have reached the point where "you have to be so perfect that even the guidelines need to be significantly revised." SanDisk has risen 460% this year, and Western Digital has risen 200%. All the good news had already been priced in. But what really alerted me was another piece of news. NVIDIA is evaluating downgrading the HBM configuration of Rubin Ultra. What does that mean? NVIDIA's next-generation AI flagship GPU was originally planned to feature 1TB of HBM4e 12hi memory. Now, due to severe HBM supply shortages, they are considering switching to the 8hi version or even downgrading to HBM4. The memory capacity may be cut by a third. The world's strongest AI chip company has been forced to proactively "downgrade" its spending. This isn't a lack of demand. It's that supply is so choked that even Nvidia can't handle it. This leads to an even deeper contradiction— Is supply outstripping supply—is it a positive or a constraint? In the past two years, the market has treated "supply shortage" as the biggest positive factor—price increases, soaring gross margins, and soaring performance. But now the script has changed. Supply outstripped supply→ HBM capacity was insufficient→ Nvidia was forced to downgrade→ AI chip performance was discounted→ cloud vendors had to buy more GPUs→ higher costs→ and AI infrastructure efficiency declined. Each link in this transmission chain erodes the underlying logic of the "AI storage bull market." What's even more heartbreaking is that Samsung, SK Hynix, and Micron have already sold out all their HBM production capacity for 2027. The final goods customers receive are only 60%-70% of what they initially requested. Demand is still rising, and capacity is locked in until 2027. This is not a "good day when demand exceeds supply"; it is a "prisoner's dilemma strangled by production capacity." Divisions are turning into cracks. Citi said: Low inventory, supply-demand adequacy ratio dropping from 70% to 50%, prices can still rise. Morgan Stanley said: Memory contract prices peaked in Q4. Renqiao Asset said: The storage industry may have already peaked. Who is right and who is wrong? I don't know. But I know one thing— When everyone in an industry believes "supply exceeds supply = prices will always rise," the real risk never lies in supply and demand itself— And when it comes to 'everyone believes,' Back to investment. If you ask me: will you still continue to lay out storage now? My answer is: yes, but no longer buying with eyes closed. 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 supply locked in by 2027. This is not a bubble. It is a real demand for money. But stock movements never depend on "whether demand is real"—it looks at "whether expectations can be higher." When expectations have already reached the point where "372% growth still feels insufficient"— 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, is the AI memory bull market still stable?

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