# AI capex — X 热门讨论 (2026-09-28 04:23 UTC)

## @jukan05 (Jukan) · 09-28 02:58 · ♥85 ↻10 💬3 Samsung Speeds Up First P5 Mass Production Line, Pulls Equipment Installation Forward to Q2 Next Year

Samsung Electronics is moving faster to build the first mass production line (Ph1) at Pyeongtaek Campus 5 (P5). It was learned on the 28th that Samsung is discussing with major equipment suppliers a plan to pull the target for moving equipment into Ph1 forward from the third quarter of next year to the second quarter. The move is seen as reflecting Samsung's intent to secure capacity quickly as demand for high value DRAM and NAND for AI surges.

P5 is Samsung's next generation chip production base, targeted to begin operations in 2028. Construction of the Ph1 cleanroom began in the third quarter of this year. A cleanroom is the infrastructure that controls fine particle contamination, temperature, and humidity inside a fab.

Samsung originally planned to build the P5 Ph1 cleanroom early next year but pulled that schedule forward by about six months. Equipment installation for Ph1 was then set for around the third quarter of next year.

Recently, however, Samsung's P5 capex has picked up even more.

"Samsung has told us it will start moving equipment into P5 Ph1 around May or June next year instead of July or August as originally planned," one industry source said. "The schedule already changed once when the cleanroom was built early, and now investment is moving even faster."

Another source said, "Samsung is going so far as to ask for equipment to be delivered even in the first quarter of next year, saying it will store the tools somewhere else. Its commitment to investing early in P5 is very strong."

Discussions on P5 Ph2 investment are also taking shape. Ph1 is currently likely to be built as a DRAM and high bandwidth memory (HBM) line, and Ph2 as a leading edge NAND line, including 10th generation (V10) NAND.

"No formal purchase order (PO) has been issued yet, but Samsung is discussing plans with suppliers to build P5 Ph2 as a NAND line," said an equipment industry source. "Equipment lead times, the time from order to delivery, are very long right now, so Samsung is asking suppliers to secure related components in advance."

The main reason Samsung is moving up its capex timeline is the memory chip shortage. Global Big Tech companies are increasing orders for the high performance DRAM and NAND needed to build AI infrastructure, but memory makers including Samsung cannot meet all of that demand because of capacity limits.

On its second quarter earnings call in July, Samsung said, "Based on the demand we have received, demand that goes unmet this year is being pushed into next year, adding further supply pressure." It added, "We expect next year's supply shortage to be more severe than this year's, and the shortage to continue into 2028." https://x.com/jukan05/status/2104405336925044783

## @bboczeng (勃勃OC) · 09-27 23:05 · ♥53 ↻1 💬18 谈谈我对现阶段美股的看法

受AI不断自我革命,Agent能力指数级攀升的影响,即便在宏观环境不断恶化,国债收益率创下15年新高的今天,美股最近依然在高点附近徘徊。技术上甚至还出现了“杯柄”形态,这是牛市不断有资金抄底买入,等待下一次突破的形态。

在这种大盘可能高位震荡的前景下,我们今天回顾一下之前提到的国债策略,并发表一下我对美股大盘未来走势的一系列看法。

1: AI

没有人会怀疑AI发展的速度和他能对社会创造的价值。两周前,Meta推出的Muse AI通过给每个用户提供一台免费的虚拟机颠覆了市场,也带来股价1个月内上涨40%,一举收复过去14个月跌幅的奇迹。Muse通过Meta这种体量的公司迅速分发给全世界几十亿用户,借助虚拟机技术,将进一步增加市场对CPU和DRAM的需求,这也是9月份以来,INTC, AMD, SNDK, MU等一系列半导体热门股票迅速反弹甚至再创新高的原因。

毋庸置疑的一点是,在各种宏观因素不断恶化的今天,美股现阶段还能维持在高位并不断挑战新高,其背后最基础的逻辑就是AI还有未来。只要AI还有未来,只要用户越来越多,越来越喜欢,越来越离不开AI,那么AI Capex的价值就有被证明的希望,半导体循环贷就可以持续下去,美股就不会突然闪崩

GS的最新研究数据显示,为了证明Capex能产生15%的基准ROI,未来每1GW算力必须创造出1亿美金的收入。这些收入大概有55%已经被满足,主要是来自未来AI Labs(包括OpenAI,Anthropic)锁定的应付款项

也就是说,如果OpenAI,Anthropic的业绩出现问题,严重影响Capex ROI,就可能引发市场恐慌。AI的发展不是问题, AI的投资速度和融资利息,可能导致AI Trade大摔一跤真正的问题。

2: EPS

数据显示, SPY 500前瞻PE位于历史低位,这主要是27年预期迅速增长的EPS导致。但问题是,SPY 50%以上的EPS来自AI相关公司,而这些公司营收的本质又来自前沿AI Labs购买Compute产生的应付款项,比如GPU,CPU,内存,电力等。如果AI Labs因为收入问题、利率问题和债务问题无法支付或者延迟支付款项,这一PE也就没有参考价值。也就是所谓的“低PE陷进“。因为PE 较低就认定美股会继续大涨的期待其实忽略了EPS来源的实质。

3: 国债收益率,加息

美联储自己在9月的会议纪要中指出,通胀来自需求和投资,并非是所谓输入型石油冲击。那到底是什么的需求和投资驱动着通胀?答案其实是不言自明的。

我个人认为,AI投资热潮不退,其所带动的PMI、各项生产资料价格甚至金融服务的将居高不下,下周的PCE一定会维持在高位,而联储10月份继续加息25bps几乎也是板上钉钉的事实。SGOV年底也许可以做到4.5%收盘,27年底最高甚至可能做到5%,甚至和2yr的收益率形成倒挂。

有人会说,1995-2000年期间,10年期国债收益率同样超过5%,但美股却继续上涨了3倍,高收益率同时也可能带来股市的繁荣。但这样的比较忽略了一个事实,那就是95-2000年的5年期间,国债收益率实际上处于从1975年以来的长期下降过程之中,收益率本身实际上是从10%降低到了5%以下。从当时的眼光来看,国债不断升值,利率压力反而越来越低。

但今天不同,现在的我们正处于在2022大放水之后的历史性趋势反转中,这一趋势同样可能持续30-40年。在各种因素作用下,国债出现了不可逆转的贬值,10年起国债收益率15年来首次突破5%,并将持续攀升,这对市场的压力不可同日而语。

4: 横盘下的选择

正如上文所说,美国经济虽然在宏观层面遭遇通胀、加息等多项逆风,AI方面,Oracle CDS 也因为周三的新墨西哥州数据中心所提出的“不可抗”因素而暴涨,甚至有人喊出2年内破产的预言;再加上多家机构开始认真分析AI Compute需要产生多少亿的利润才能满足ROI,我相信,市场上方将会存在较强阻力。

未来最好情况,大概率也是横盘。

另外,考虑到共和党是本次AI基建背后的主要支持者——毕竟这些和他们复兴美国制造业,投资美国的政策,以及马斯克等政商巨头的商业利益有关,我认为,中期选举将是美股变盘的关键。如果中期选举后共和党丢掉两院,那么整个AI投资的故事和情绪可能会发生重大改变。

距离中期选举,其实也就不到1个半月的时间了。在此之前,假设美股能做到不暴跌而是横盘,我觉得对SGOV4%收益率不够的话,可以选择配置更多的QQQI,在接下来的几个月里拿到年化14%的利息。

不过一定要记住,大盘如果出现暴跌后就要果断跑路。因为QQQI的抗跌能力其实并没有比QQQ高多少,但大盘反弹后却很难涨回前高。

我这里给出的预期是,可以记住自己买入QQQI的成本价(现在是55.76),一旦跌破就可以卖出。更激进一点的话可以选择跌破5%后卖出,并等待大盘继续下跌。

另外一种更激进的选择,是买入一款针对半导体的YieldMax ETF CNPY,它每个星期分红(卖Call Spread),号称有40%的APR——这一数字是根据每星期的分红情况计算,随时都会变。但如果你觉得AI Trade已经完全不可能暴跌,只有可能继续走牛,那其实不妨用CNPY的仓位证明自己的观点。

对我来说,因为他的APR实在太高,即便要买我也只需要买入QQQI的1/4即可,同样,可以选择在跌破成本时清仓,因为根据我们的策略偏好,宁可错过反弹,也不能持有到回调正式开始。这段时间能赚多少yield就赚多少yield。

5: 耐心

买入国债的前提其实并非美股明天就要立刻崩盘,而是只要美股处在横盘派发阶段,叠加加息以及利率的不断提高的大背景,足以保证我们从华尔街——或者是财政部赚到钱的一种无风险策略。如果不愿意完全买入国债,也可以至少分配一部分保底。

这一策略的关键在于耐心。不能因为看到今天半导体板块又涨了, 就觉得自己亏了,想要去追高。否则很容易功亏一篑。而且涨本身就是波动的一部分,是我们应该忽略的噪音

考虑到年底选举+加息的事实,我愿意给这个90%SGOV的国债策略至少三个月的时间。如果真的出现深度回调,到时候再对仓位进行调整:比如回归到对VOO的定投上,对我VOO的最终持仓比例会最终回到50%以上。

6: 结果

既然最终还是要买VOO,那么现在等待观望的意义何在。为什么不今天开始就定投VOO,减少自己的心理负担和踏空的恐惧呢?

(限于全文篇幅,以下内容为会员可见。会员朋友可以访问https://t.co/Qaw5PWxyqi和patreon阅读全文)

好了,今天的周末特别分析就写到这里。关于是退守国债,还是主动进军半导体再创新高的看法,大家各有不同,这很正常。本文主要阐述我继续持有国债的逻辑。

谢谢大家的支持,祝大家好运,我们MU财报后见 https://x.com/bboczeng/status/2104346837167857684

## @MarciSilfrain (Marci Silfrain) · 09-27 19:57 · ♥31 ↻0 💬0 Remember when $13B of Elon Musk’s loans to buy Twitter was the scandal? Banks wouldn’t syndicate it. Bids at 60 cents. Hung for two years. “Worst deal since 2008” some claimed.

Now Oracle’s landlord has an $18B data center package already quoted 89–91 cents. One company spent $56B on capex last year and wants another ~$70B this year.

That $13B looks tiny now next to what AI is actually borrowing. https://x.com/MarciSilfrain/status/2104299453473779995