OpenAI 如何可能引发美国经济衰退 | TCAF 264
Josh BrownMichael BatnickSteve Eisman
- Eisman认同,OpenAI若出事可能引发美国经济衰退,但规模不会达到2008年的程度。 这只是一个假设,Josh强调:“我不是在预测这件事。” Eisman指出风险敞口高度集中:Nvidia应收账款中,5家客户占70%;OpenAI约占Oracle积压订单的一半。另有一位主持人提出独立的价格战情景,设想Oracle最终破产。
- 主持人讨论,更便宜的开放权重模型可能压低AI实验室的定价。 Michael说这类模型的成本只有十分之一,并把选模型比作选车;Josh认为企业使用习惯可能给Claude一些保护,但如果更便宜的模型表现几乎一样,他会换过去。Eisman说,“tokenmaxxing”走到头,已经开始影响市场叙事。
- 融资收紧可能让Amazon、Alphabet和Microsoft受益,同时限制独立基础设施供应商。 Josh提到CoreWeave的债券收益率约为15%,并认为企业和消费者对AI的需求会持续。Eisman认同超大规模云厂商处境更有利,同时警告市场高度依赖两家公司。
- 主持人把AI视为推动股票和美债收益率的共同因素。 Josh将AI情绪转弱与10年期美债收益率从5.4%降至5.1%联系起来;Michael认同,这轮走势反映的是AI交易,而非市场重新相信政府财政状况。Josh估算,若把AI基础设施受益者计入,标普500的相关敞口约为65%。
- AI最终成功,不代表如今领先的实验室会一直胜出。 Eisman提到第一代互联网公司,它们打下的基础成就了后来的赢家。他所谓的“阴谋论”是Anthropic应该赶在第三季度业绩公布前上市;被问及其IPO是否会走SpaceX的路时,他说自己不确定。
- 保险资金的运用和政府持股,带出谁来承担AI投资风险的问题。 Michael说,如果投保人了解相关风险,投资者要求的回报率可能是12%,而他们拿到的利率可能只有3%。Eisman认为应当弄清投保人承担的风险,反对政府持有AI公司股权,因为这可能让公司显得“大到不能倒”,也质疑高管是否会承担个人责任。
- 住房仍是独立的经济弱项,单靠降息可能无法解决。 Michael引用一项估算:包括保险、水电和税费在内,住房月度总持有成本比5年前高约50%。Eisman说房价可能缓慢下跌;降息会有帮助,但“后面还有很长的路要走”。
1. OpenAI的支出承诺带来经济衰退风险
Eisman区分了工业企业倒闭与银行业崩溃:GM破产会摧毁就业和供应商,而JPMorgan出事则会威胁资金本身的流通。“JPMorgan一旦倒下,地球就要烧起来了。”AI行业崩盘可能造成重大经济损失,但银行仍能正常运转。
Josh提出的OpenAI情景明确只是条件假设:“我不是在预测这件事。”但他追问,如果OpenAI明天破产,是否会立即引发美国经济衰退。Eisman表示认同。另一位主持人提出另一种假设:全面价格战导致Anthropic销售增长转负、投资者停止输血,最终迫使公司削减投资。在这一情景下,由于Oracle约一半积压订单来自OpenAI,主持人认为Oracle会破产。
风险传导的关键在于客户集中度。Eisman提到,Nvidia应收账款中有5家客户占70%;他将应收账款视作收入的替代指标,尽管公司最近一个季度的收入增速超过100%。一位主持人称,OpenAI和Anthropic合计贡献了超大规模云厂商AI收入的70%,而AI收入占云业务总收入的25–30%。Oracle的风险敞口更大:其积压订单约有一半来自OpenAI。
2. 更便宜的模型威胁实验室的定价权
Josh和Michael认为,模型没有牢固的护城河,用户可以从Claude转向Gemini,再转向GPT。Michael说,开放权重模型可能稍逊一筹,但成本只有十分之一:“你又不是每次出门都非得开奔驰。”他认为,要求监管AI的呼声可能帮助既有厂商限制开放权重模型带来的竞争。
Josh说,他的公司订阅了Claude Enterprise,员工习惯使用已经付费的工具后,他过去使用ChatGPT的场景也被替代。他认为这或许能构成企业端的护城河,但如果开放权重模型只花十分之一的成本、表现又几乎一样,他就会换过去。他听说Claude可能正在降价。
Michael把“tokenmaxxing”描述为公司要求开发人员全天候使用AI,结果成本过高;他说Uber 3个月就用完了AI预算。Eisman说,tokenmaxxing走到头,已经开始影响市场叙事。主持人将这种从按席位收费的SaaS转向按使用量收费的变化,与成本审查趋严联系起来:员工若改用更便宜的模型,OpenAI和Anthropic就可能面临降价压力。
Eisman质疑OpenAI披露的年化收入为何从一个月前的每月700亿美元降至9月底的500亿美元,但表示这些数字并不能有效比较。谈到Anthropic,他提到168亿美元以及3个月增长43%,而第二季度增速为140%,并补充说:“我可能也会有点说错。”他仍不认可这种衡量方式:“我完全不知道年化销售额是什么意思。”
3. 融资压力可能让超大规模云厂商接手扩容
CoreWeave是融资风险的警示案例,但Eisman并不认为它是引发系统性冲击的关键。Josh提到其债券收益率约为15%,股价下跌60%;Eisman说,公司要拿出6.4亿美元偿还债务,考虑到现金流,这很棘手。Josh说,项目建到一半不能说停就停;Eisman回应说,确实可以停,但公司会破产。他补充道:“我不认为CoreWeave重要到足以撼动整个AI行业。”
Josh转述了他拜访华尔街银行时听到的说法:2027年的AI预算及相关招聘都将高于2025年或2026年。他认为,如果CoreWeave和Nebius借不到足够资金来建设,Amazon、Alphabet和Microsoft就会获得更多机会。Eisman认同,超大规模云厂商的处境已经改善。
主持人讨论政治阻力可能拖慢数据中心建设。Josh说,这意味着原本用于未能推进项目的算力采购会减少;Eisman补充说,现有算力的需求会随之上升。Josh认为企业和消费者的AI需求会持续。Eisman承认,3到4年后可能会有更多公司争相获取算力资源。眼下市场集中度太高,他说:“我们只能希望这两家公司表现良好。”
4. 主持人将AI情绪视为股市和美债的驱动因素
CPI和PPI数据偏高后,利率一度上升,但被讨论的10年期美债收益率却从5.4%降至5.1%。Josh认为,反转源于市场对AI的情绪转弱;Michael认同,这一走势反映的是AI交易,而不是市场更相信政府财政状况。Josh将AI情绪走弱与相关交易减少抛售债券联系起来。
主持人用Western Digital说明此前市场涨势有多猛:股价下跌54%,今年以来仍上涨100%。对高位买入的人来说,这安慰有限。Josh还提到Lennar反弹,以及其他利率敏感型股票走强,说明市场领涨板块切换得有多快。
Eisman不认同把估值当作核心解释:“你告诉我AI故事会怎么发展,我就能告诉你股市会怎么走。”Josh说,科技股占标普500的40%;再加上Google和Amazon,比例约为50%;若进一步计入投行,以及GE Vernova、Quanta、Eaton和Rockwell等基础设施受益者,相关敞口约为65%。Josh总结:“这其实全是同一笔交易,就是AI。”
5. 保险资金让责任归属问题更复杂
主持人讨论了有关保险资金为AI建设融资的报道,并追问这对投保人意味着什么。在相关讨论中,Michael谈到Mark Walter旗下的保险公司和体育球队持股时表示,如果投保人了解风险敞口,就不会接受3%的回报;实际成本可能是12%。转录内容没有充分说明这一比较背后的具体机制。
被问及投保人是否面临系统性风险时,Eisman回答:“我不担心。关键是要找到答案。”他另外反对政府投资AI公司股权,因为这会让市场预期这些受资助公司“大到不能倒”。
Eisman支持追究AI公司的责任,比如公司侵入他人系统或有其他不当行为。他担心的是,明知存在风险的高管是否会承担个人后果。他提到2008年后高管没有受到惩罚,并追问:“谁会起诉我?”Josh而非Eisman表示,他预计只有危机发生后才会出台监管。
6. 技术赢家未必是先行者
Eisman回忆,Henry Blodget准确预测了互联网将产生巨大影响,但第一代互联网公司并未攫取多少最终价值。他举出的例子包括AOL、Netscape、Yahoo和Excite,并称Amazon是例外。第二代企业依托第一代打下的基础走向成功。“也许这一次还会重演。”
Eisman自称的“阴谋论”是,Anthropic需要赶在第三季度业绩公布前上市,因为tokenmaxxing退潮会让它的表现显得更差。他认为OpenAI也面临类似处境。主持人以SpaceX为例,指出悲观的IPO预测最终让位于科技股的常规交易模式。被问及Anthropic是否也会如此时,Eisman表示不确定。
7. 住房疲软让经济对AI的依赖更值得关注
Josh称住房市场是金融危机以来最差的一次,同时指出这轮情况有所不同。高利率让现有房主难以搬家;Eisman说,一波新房供应曾让Lennar、Pulte和KB等建商受益。他认为这一阶段已经结束,随着挂牌房源增加,住房相关股票也在下跌。
可负担性问题不只在于按揭利率。Michael说,保险、水电和税费都在上涨,房价却迟迟没有调整。他引用一项估算:住房月度总持有成本比5年前高50%。Josh说,以收入衡量的贷款成本,可能已经达到他有生以来最难承受的水平。
Michael提到,一个约有7000万人的年龄群体为住房需求提供支撑,但他自己买不起房。他预计房价最终会下跌,不过可能在几年内缓慢调整。Eisman说,这一过程会很慢;降息会有帮助,但其他持有成本仍是负担。
Eisman不认同把预言灾难浪漫化:他自己的经历带来的是“巨大的烦躁和焦虑”。他说,AI崩盘可能导致严重衰退,但如今没有机构使用2008年那种40比1的杠杆。“规模可能不会达到那个程度。”
完整逐字稿
You ask what an LLM is? It’s just a slightly more sophisticated word search system. Let’s predict the next word. It’s pretty good. I’m not saying an LLM is a thinking system, but it’s not like they think, right? Then why are you saying you’ll kill us? That sounds a bit strange.
It seems like they should have perceptual ability, but LLMs don’t. I don’t even think about it. It’s simply searching for words or creating software, and software can also be considered a type of word. The reason I think that is because Dario Amodei and Sam Altman are probably terrified by now.
They got scared because they thought tokenmaxxing was over. For those who don’t know what tokenmaxxing is, it means software developers or companies received orders from their firms to use AI 24 hours a day. It cost too much. As a result, prices skyrocketed, and Uber used up its entire AI budget in just 3 months. So, was it this year or last year? I don’t remember very well.
It was this year. It was spring.
Hmm. Tokenmaxxing is over. Open-weight models have come out that cost only one-tenth as much. They’re not as good as the existing models, but you don’t need a Mercedes-Benz every time you go on a trip, right? So we’re losing market share. There’s clear evidence that a price war is starting, and they were terrified. So they’re driving us in a direction like, “If you don’t regulate us, the world will end.” They think that if they’re regulated, they can prevent open-weight models from taking too much market share by manipulating the regulations.
So you think you can create a duopoly that way? However, the fundamental problem with the entire AI industry is that there is no moat. There isn’t a single one.
That’s right. There really isn’t a single one. A model might be good for a day, but people quickly switch to another model. It’s different from Google, isn’t it? As you know, in the past, everyone used Google forever. It was to the point where I couldn’t even imagine the concept of not using Google. You can use Claude now, but if you don’t like it, you can switch to Gemini, and if you don’t like that either, you can switch to GPT. There is no moat either. The fact that people spend trillions of dollars annually on services without a moat shows how easily people can switch to other services. I’m not even surprised. It’s just like that.
That’s right. I always thought that the best service would be the one that remembers the most information, or the one that can recall the most user information every time it’s used. But they’re all pretty similar.
That can happen. Which one would be the best? What’s the most suitable LLM for your work?
It’s not for my own purposes; it’s just for research. Everything is fine. Everything is good.
Is there anything in particular you prefer?
Our company uses Claude Enterprise as the standard.
Yes. As a result, I now do all the work I used to do in ChatGPT in Claude, since we’re paying the cost anyway. You just get used to it. I think enterprise LLMs are a kind of clever way of building a moat. If all the employees at Fortune 500 companies get used to using Claude, there’s no reason to use anything else, right? Of course, if it were much cheaper, I’d use something else. If an open-weight model performs almost the same at one-tenth the price, I’ll use the open-weight model.
Yes, that’s the point.
It’s not that I’m saying I won’t use Claude, but that Claude will have to lower its price. I’ve already heard rumors that prices are being lowered.
Yes. The founders of these AI research institutes are coming out and saying, “Please regulate us.” He even did a skit on Saturday Night Live. Now this phenomenon has become mainstream.
That’s right. Since they don’t want competition, it means that as the scale grows, they can effectively set the rules. It’s a lie that some people claim LLMs will destroy the Earth.
Yes. It’s a very simple lie.
1. Steve Eisman Joins Live
Great. John, then let’s start the broadcast. Great. Are you ready? I’ll begin. This podcast is provided by VanEck. We are living in an era of rising debt, deglobalization, and large-scale physical construction to support the AI economy. This means an increase in demand for energy, raw materials, and infrastructure. Historically, investment in real assets has been a very solid foundation. VanEck holds ETFs specialized in these real assets: RAAX and VanEck physical asset ETFs. RAAX is actively managed and adjusts investment weightings for gold, energy, infrastructure, and natural resources based on the current macroeconomic environment rather than past market conditions. RAAX is the best choice for real asset investment. For more information, please visit vaneck.com/raaxcompound. Thank you, John. Now, everyone. Welcome to Compound and Friends.
Welcome to Compound and Friends. We are one of the best podcasts in the United States. I’m very happy to announce that today’s guest runs the best investment podcast. While listening to the broadcast yesterday, I found out that some episodes are paid. It looks like I’ll have to subscribe to the paid episodes.
By the way, the name of our podcast is The Real Eisman Playbook. I wanted to let you know in advance.
Well, I don’t think I’ll need much help. You have a huge number of YouTube subscribers, you know.
That’s really good.
Thank you.
Were you surprised? I didn’t expect to succeed this quickly after the broadcast started. That’s a really big broadcast.
I was completely surprised.
Yes, but that’s cool.
Yes, it’s really cool.
Steve is an investor and the host of the weekly podcast Real Estate Expert Playbook, which started in 2025. Steve became famous for short-selling the subprime mortgage market while running FrontPoint Partners just before the 2008 financial crisis, a deal detailed in Michael Lewis’s book, The Big Short. He later founded Emrys Partners in 2012 and joined Neuberger Berman as a managing director and portfolio manager in 2014.
Ladies and gentlemen, Miami, everyone! Please give a big round of applause to Steve Eisman.
You already like me.
It’s really good. The University of Miami is a really good school. It’s nice that there’s a swimming pool in the middle of the school.
That’s right. So my son looked around the campus and said, “My son isn’t stupid.”
I’m not a fool. I remember when my daughter went to the University of Miami; she really enjoyed both her academic studies and the time she spent there. I told my wife, Valerie, who’s also from the University of Pennsylvania, “We looked like fools.”
Yes.
I was shivering in the cold while attending school in the middle of Philadelphia, but I could have gone to Miami. What did your daughter major in at Miami?
My wife?
No, no, no. My daughter majored in art history.
Buy art.
2. CoreWeave Debt and AI Concentration Risk
All right. I’d like to ask what you consider to be the most important question in the market right now. We’ve been planning to have you on for quite some time, and it seems we made the request at just the right time. Will the financing mechanisms for AI products collapse?
There was a problem with CoreWeave yesterday. CoreWeave is one of the companies called a neocloud, and it’s basically a data center that operates rather than being self-owned. It isn’t owned by a hyperscaler, nor does it generate cash flow from advertising revenue like Alphabet, for example. It seems that the current yield has reached 15% due to the surge in debt. As you can see from chart 5, the price has dropped by 60%. The situation isn’t good.
It’s really bad.
So what you’re seeing right now is the phenomenon where CoreWeave’s spread and yield are skyrocketing. It can be seen as a symbolic example representing all the companies that have to issue debt to finance these kinds of projects. You can’t just build half of these projects and leave them abandoned.
Of course, you could do that, but you’d go bankrupt.
That’s not a good idea. I’d like to hear the opinion of someone who experienced the financial crisis firsthand. If you were someone who predicted and prepared for the financial crisis, you might have bet everything. I think the current situation is somewhat different from back then, but I’m curious to hear your thoughts on the fluctuations in bond yields and the discussions about whether these projects can continue.
Compared to the financial crisis, there’s a big difference. For example, let’s assume General Motors goes bankrupt. What happens? Everyone is laid off, some of GM’s suppliers go bankrupt, and many people lose their jobs.
That’s right.
A recession will almost certainly hit that region. If bankruptcies spread, a nationwide recession could occur. If JPMorgan collapses, the Earth will burn up.
That’s right. It’s the end of everything. If you can’t do it, everything is over.
The reason the government had to provide bailout funds to everyone is that a situation where people can’t withdraw money from banks must not occur.
That’s right. This is in a similar context to the GM situation.
Yes. It’s a very big incident.
Hmm. What would happen if we couldn’t extract the chips from the data center? That would be a big problem for you.
Yes, but it’s not the end of the world.
Of course, I’ll cover the story of AI in more detail later, but let’s assume, for example, that OpenAI goes bankrupt tomorrow. I’m not making that prediction, but if that happens, I think the U.S. economy will immediately fall into a recession. Seems suspicious, isn’t it?
Yes.
How did it become such a systemically important company? This is different from the financial crisis.
Because the banks are fine.
How did it become such a systemically important company? OpenAI is a privately held company.
I understand that the company’s valuation in the private equity market is around $1 trillion to $1.5 trillion.
How did it become a systemically important company in just 3 years, one that could plunge the entire U.S. economy into a recession tomorrow?
Both OpenAI and Anthropic have promised to invest in any company capable of adopting their technology.
That’s right.
If you want to think about the problems with the AI story, simply put, the problem is market concentration. Two giant corporations, namely Nvidia, are leading the way. Nvidia’s revenue increased by more than 100% in the recent quarter. That’s surprising. It’s encouraging that the largest company on Earth has increased its revenue by more than 100%.
However, the 10-Q report states that 70% of Nvidia’s accounts receivable—a proxy for revenue—came from 5 customers. Why is that a problem? You don’t want that kind of customer concentration. What would happen if even one of those customers had a problem? You’d lose a significant portion of the entire business.
Of course. I think I’m asking a bit of a stupid question. I was just curious.
Let me give you an example from when I was at Oppenheimer in the 1990s. There was a very talented software analyst. I remember a conversation I had with her. Oppenheimer wanted to take a rapidly growing software company public, but it only had 2 clients. She said, “No.” The reason was that if even one customer left, the company would be finished.
Nvidia has 5 customers, but virtually every company at that scale is a customer.
No, they’ll probably be hyperscalers. Hyperscalers have hundreds of millions of customers. But 70% of hyperscalers’ AI revenue comes from Anthropic and OpenAI, and that figure accounts for about 25% to 30% of total cloud revenue.
Oracle is in a much more serious situation because half of its order backlog consists of OpenAI projects. You can see it in the overall scale of the investment. OpenAI said to Oracle, “We’ll use your cloud. We’ll use the computing resources you provide, so build it for that. And for your reference, we need 10 times more resources. Build all these data centers.” All of this construction happened because Anthropic and OpenAI demanded it like crazy.
3. Chip Selloff and OpenAI's Missing $20 Billion
Yesterday, we learned a few things. First, high inflation figures emerged again.
Yes. Interest rates have risen. They went up again this morning.
Yes. But the interesting point, as I’ll talk about later, is that interest rates have fallen significantly. That shows where the pressure is coming from: people are afraid.
Yesterday felt like the moment a bubble burst. CoreWeave’s debt has increased astronomically.
Yes, that’s right. They’re currently spending $640 million just on debt repayment, which is a very serious problem given their cash flow situation.
$2.1 trillion poured out of the market over the past 7 days. Did yesterday feel like the moment the bubble burst, or was it an opportunity to buy again? Looking back later, I’m going to say, “You stupid bastards!”
Before I answer, look at how $2.1 trillion vanished from the stock market in 7 days. You can see right on the screen how serious the situation is. This doesn’t happen in a normal market. It’s on a massive scale. Don’t you think people are too zealous? It seems like too many people want to be like Steve Eisman, the hero of the next big short-selling prediction. Honestly, it feels like a kind of disease.
It reminds me of something I said on CNBC. It was such a good point that I’ll say it again. It was the day Ray Dalio, whom I respect, predicted that the world would end because of the fiscal deficit. Was it 2015? He did it in 2015, and he’s doing it again now. 1937? I was like that back then.
Melissa Lee asked for my thoughts on the 5 p.m. show, and I said, “The problem with these people is that they all want to be like me. But I have news for them: Steve Eisman’s spot has already been taken.”
Yes.
The funny thing is, people want to be known as the person who predicted the next disaster. They want glory. But you know what? I’ve already enjoyed that honor. I don’t need it again.
Honestly, I don’t really know. I don’t think CoreWeave is important enough to shake up the entire AI industry. I think Anthropic and OpenAI are much more important.
To share some interesting data, OpenAI announced last week that its annual revenue as of the end of September was $50 billion. A month ago, they said it was $70 billion. Where did the $20 billion go? Has it disappeared? It’s gone.
But I don’t think that’s a valid comparison. I have absolutely no idea what annualized sales mean. No one will know. Today, an article about Anthropic came out in the Financial Times. Regarding the revenue, I could be a bit wrong, but I checked the figures. They say that sales in the sixth quarter increased by 43%, recording $16.8 billion.
It increased by 43% in 3 months, but that’s lower than the 140% growth rate in the second quarter. Of course, we all know that kind of growth rate isn’t sustainable.
Yes, that’s right. But the important thing is that the impact started to appear as the tokenmaxxing came to an end.
As companies reviewed their budgets and started saying, “We can’t spend money at this rate on AI,” the technology was so good that, thanks to tokenmaxxing, they were making more money than they could have continued to earn.
Yes, that’s right.
The interesting point is that under these interest rate conditions, financing for new data centers will become difficult, and proving that the financing is feasible will also become much more difficult. On the demand side, there may be some changes as existing methods change, but supply constraints remain severe in many places. If supply is limited and demand continues to increase, interesting dynamics may form in the market.
That’s possible. Part of the current problem is that there’s strong nationwide opposition to data centers. It’s difficult to quantify exactly what might be unpopular. I’m going to make a bit of a crude joke: maybe the L.A. Dodgers?
Yes, yes, that’s good. But as you know, the backlash is so severe that it looks like the pace of data center construction will slow down significantly. This will be good news for people who sell computing services because the demand for data is decreasing. If data centers disappear, it will have a positive impact on the market because fewer computing resources will be purchased.
Because if we can’t build a data center, there’ll be nowhere to put computing resources. But demand for existing computing resources will actually increase.
That’s highly likely.
Yes. Actually, I wanted to ask you about that, because I think it’s an important part of this story. I don’t think demand for AI itself will change.
The people in front of me visited all the investment banks on Wall Street over the course of 2 days. They say that in 2027, those banks will invest much more budget in AI and AI-related projects, and hire more AI-related personnel, than in 2026 or 2025. At the corporate level, demand for AI won’t change.
Another thing that won’t change is consumer demand. I think most people primarily use ChatGPT, and there’s also Claude. Looking at it from the agent perspective, there’s AI like Gemini, and virtually all Google searches are now being performed by AI. This technology won’t disappear either. Anyone using this technology will never say, “I should stop now. I didn’t really need this or make it part of my life. I’m just going to go back to 2022.” I don’t think that at all.
Bond prices or the difficulty of issuing debt won’t significantly change the demand side. What changes is who builds the capacity to meet that demand. If companies like CoreWeave or Nebius can’t supply as much computing capacity as they want by issuing debt, the ball will be in the hyperscalers’ court again.
Amazon, Alphabet, and Microsoft are in a much stronger position than they were a year ago. Back then, the cost of issuing debt might have been lower, or the demand for bonds might have been greater. What do you think of this idea from an investment perspective? It seems the position of hyperscalers will be further strengthened.
I agree that the position of hyperscalers has been strengthened. The point I find most concerning is that the business is too concentrated in a small number of companies. Anthropic and OpenAI say that even if price competition occurs, everything will eventually fall into place. The situation may change in 3 to 4 years, because by then many other companies will emerge to secure computing resources. But the market is so concentrated right now that we can only hope these 2 companies do well.
The pricing method is shifting from SaaS, or software as a service, which has been the sales method for enterprise software for the past 15 years, to a usage-based model. It used to be a system where costs were paid based on the number of employees. For example, if a company had 1,000 employees, Salesforce received $80 per employee. We’re now transitioning to usage-based pricing plans.
This approach appears more sustainable than existing service sales methods. Of course, prices have gone up, and it seems companies have gained more control—or maybe not. In any case, companies seem to be accepting these changes, even though it’s more expensive. As people become more sensitive to costs, employees will use cheaper models much more frequently, which will put pressure on Anthropic and OpenAI to reduce prices.
Yes, that’s a pessimistic outlook. Great.
Do you think this is the beginning of the phenomenon we’re witnessing?
4. AI Price War Bear Case and Oracle
I believe there’s a possibility that this could be the start.
What is the propagation mechanism by which a problem at OpenAI leads to various events, resulting in an overall economic recession?
Let’s assume a full-scale price war breaks out. I don’t know if it will actually happen, but let’s assume it does. Anthropic’s sales growth turns negative. No one will invest, and eventually investment will have to be reduced. Oracle will go completely bankrupt because half of its order backlog came from OpenAI.
For your information, Oracle’s stock price has completely crashed.
That’s right.
For those who don’t know, around the third quarter of last year, before Oracle’s earnings announcement, the stock price was $230. But when Oracle announced its earnings, they said their order backlog had increased from $138 billion to $455 billion. I don’t remember the exact figure, but it increased by $300 billion in 3 months. Everyone went wild, and the stock price jumped from $230 to $330 in just 2 days.
It’s the first time I’ve seen a stock price go up by 100 points. Those were the stock prices of the largest companies in the market at the time. It was a tremendous upward trend.
I think it was Gil Luria from Davidson; someone published a report saying that all $300 billion was due to OpenAI. Everyone was in complete panic. That was the peak. The stock price fell from $330 to $230, and now it has dropped to $130.
Don’t forget that people can’t trust companies that make them lose money. You bet your future on a company that’s pouring money into it like crazy?
What did you say?
The stock market has been really exciting over the past few days.
I agree. As I mentioned yesterday, with the inflation figures coming out high, it seemed like people were thinking, “Oh no, this is the end.” It was really serious.
It was even more serious this morning. There are no signs of improvement. Producer prices came out today. Yesterday was the Consumer Price Index, and today is the Producer Price Index. This isn’t good either. Memory-related stocks plummeted yesterday.
Let me tell you a fun fact. Western Digital fell by as much as 54%.
54%!
Even so, it has risen 100% since the beginning of the year.
Right. This shows how sharp the rise was. I’ve never heard of a stock price doubling from the beginning of the year even though it was cut in half. I can’t believe it.
That’s right.
The rate of return skyrocketed yesterday, but that doesn’t help those who bought at the peak.
Yes. The fact that returns have skyrocketed doesn’t help. Although Anthropic is not a listed company, a blockchain-based company called Hyperliquid is massively increasing its trading volume. $17.6 million worth of Anthropic stock was traded over the past 24 hours. This system is a kind of market and works quite well. It worked very well during the SpaceX IPO, too. This is Anthropic traded on Hyperliquid.
Ah, I see.
Anthropic had poor earnings yesterday. Of course, that would have been the case. Sales figures were released after the market closed, and they completely plummeted.
It plummeted by over 70% in over-the-counter trading. People went crazy. Twitter turned pitch black last night. People were in a complete panic, and it was the same this morning.
I wasn’t flustered at all.
You were very calm. I saw it. Interestingly, Anthropic’s stock price went up about 5.5% this morning. Returns are falling significantly, and the stocks surging today are the worst stocks in the market. For example, Lennar seems to be the best-performing stock in the S&P 500 today. It’s a housing-related stock, so it’s everything even slightly related to interest rates. It’s fascinating how quickly market trends and the atmosphere change.
Who would care about interest rates last week?
Interest rates probably wouldn’t matter at all.
Interest rates probably wouldn’t matter at all. That’s what I thought. But suddenly, the market started to panic. Ironically, that was the bottom. It’s really interesting that things like this happen in the stock market. Once interest rates peaked, did the stock market need some bad news to hit bottom? Anthropic stock broke through its low point, and the S&P 500 surged in just one day, didn’t it? And equal weight is taking out the lows.
Well, this is the best game on Earth. Are you surprised that interest rates dropped so quickly?
I was actually quite surprised. The inflation figures were very bad. It seems the state of panic was severe enough for people to buy government bonds. But what we learned is exactly this: I fully agree with the questions or arguments of the past few months, and with your statement that the previous concerns about the deficit were nothing but bluff.
I did say that.
When?
Hmm, with us. Ah, the last time. That’s a good expression. But he spoke passionately.
It was very popular. The market is like a difficult-to-unravel ball of yarn. You can’t always know why it moves for one reason or another, but on some days you can identify the factors driving the trade. And yesterday we found out. Is it because of the financial irresponsibility of governments around the world? Or could it be because of someone?
No, it’s because of AI. AI is leading the trading. As soon as even the slightest sign of weakness or sluggishness appeared in that trade, the 10-year Treasury yield plummeted from 5.4 to 5.1.
Yes. It’s all because of AI. That doesn’t mean we’ve suddenly become more reassured about financial matters.
I don’t think so. People thought that bond selling, which was being conducted to boost AI trading, would slow down as investor sentiment weakened. So the government bond market breathed a sigh of relief and rose.
Yes.
Yes.
5. CoreWeave, Insurers and Mark Walter
That was an interesting part. Over the past year, the CEO of CoreWeave has sold a massive amount of stock. Show me Chart 5A, Daniel. The CEO of CoreWeave sold $682 million worth of stock. There’s a chart showing the price, volume, and selling position.
To make an excuse for him, he’s not the kind of person who suddenly says, “Ah, I don’t like this stock anymore.” He has always sold stocks. All of this was planned in advance, and a significant portion of it is likely to pay taxes on the shares he received from shareholders.
Nevertheless, if a company is under such thorough scrutiny, eventually it will say to its shareholders, “Fine, I won’t sell my shares anymore. There’s no point in doing this any longer. I trust this company.” One might expect him to say that, but he didn’t. And yesterday, I’m not sure if it’s right to say “adding insult to injury,” but Steve, I’d like to hear your thoughts on this issue. The Financial Times published an article stating that CoreWeave is aiming for unlimited insurance money to fund the construction of AI. That’s the main point of the article. Striking that pose, he said, “I believe now is the right time to make an investment proposal by leveraging my insurance contract.” Imagine saying that.
The point is that Mark Walter has to sell the LA Dodgers back to his insurance company. Actually, he bought the Dodgers, didn’t he? And you have to invest the proceeds in CoreWeave.
If that happens, 2 potential scandals will become entangled into 1 big story. He has a lot of money, so he’s just saying he’ll give it a try.
Steve, this is one of the market areas where people anticipate the next generation of short selling. It’s where people plant flags.
I completely agree. Life insurance is risky. Let’s go back to Mark Walter’s story. We just covered that on the podcast. He bought the LA Dodgers, the LA Lakers, and many other sports teams, but I didn’t disclose that. He just bought them because he wanted to. It means they want to own the LA Dodgers. The Dodgers are the same. But I want them to buy me.
So he lent money to another company through an insurance company, and he ended up owning that company as well.
That’s right. Or they’re trying to cover up the fact that they intend to use that money to personally seize control of the management. Anyway, it worked out well. That went really well. The price went up. The Lakers, too. He got his hands on $2 billion in an instant. I don’t know if he said it himself or if others said it, but I’ve seen something like that. I think Matt Levine wrote about this topic. Someone called this a crime, but they called it a victimless crime because the value has gone up.
The rebuttal was, “Wait a minute. You can’t do that.”
I suppose so. Of course it’s illegal. But if Grandma had known she was investing in the contract, she wouldn’t have bought it.
That’s right. Then you wouldn’t have been able to receive the money at 3% interest. You would have had to pay 12% interest. But let me tell you a fun fact: Mark Walter’s insurance company is headquartered in Delaware, and there’s an insurance regulatory agency in Delaware. Okay, here’s the question. What did the current Delaware Insurance Commissioner do before becoming an insurance commissioner? What was his job? What kind of work did he do for a living? Try to guess.
Did he work in finance?
No.
Hmm, try to guess. Was it a podcaster?
He was a sheriff.
Ah, now I understand. And he’s an insurance supervisor.
Yes, I understand perfectly now. I have no ill feelings toward the sheriff. They protect us. However, when it comes to insurance, associating sheriffs with insurance is a bit strange. Great. Okay, here’s the question. Many people writing on Substack are mentioning that insurance companies are investing in AI data centers. My question is: How dangerous is this for the policyholder? How will these investments affect insurance policyholders? Will the claim made by those writing about this issue—that there’s greater systemic risk to ordinary people than to speculators—be proven true? What do people think about this part? Aren’t you particularly worried?
They’re literally controlling policy.
I’m not worried. The important thing is finding the answer.
6. AI Regulation: Will Anyone Be Held Liable?
Yes. Great. Steve, before we wrap up, there are two more things I’d like to ask you. You just mentioned the political backlash. I’d like to ask about that, not just in relation to data center construction, but overall.
I heard an episode you shared with someone who recently gave a speech at the UN about the dangers of AI. The White House has released 4 plans for AI regulation. It sounds like everyone is fending for themselves, but there’s talk of establishing a committee composed of AI industry professionals. The committee’s guidelines say that responsibility must be taken if a problem arises.
Imagine that something you invented goes out of control and causes damage. I agree with that point, but who’s responsible? Should investors who invested in such a company pay out, or should the executive who created something truly harmful be held personally responsible? I’d like to hear your opinion on whether regulations like these will be effective. And if you have any other suggestions, which ones would be good?
In my opinion, if you run an AI company and that company hacks someone or commits wrongdoing, the company must be held responsible. Of course, you have to take responsibility.
But the more interesting question is this: I’m the CEO of that company, and I knew this would happen, but I didn’t care, and then it happened. Who would sue me? What happened in 2008? That’s the point I made next. No punishment was handed down to the executives who committed the worst fraud in history.
I was on a podcast where I interviewed a colleague. She often talks about corporate fraud. We talked about fraud and discussed how the CEO must take responsibility. She asked me, almost pleading, “Steve, what can I do?” I said, “I can’t do anything, because I won’t do anything anyway.” That was my answer.
That’s right. Unfortunately, that’s probably the case, at least for now. No one went to jail during the 2008 financial crisis, so there’s no way anyone would go to jail for hacking, right? Can current regulations really prevent anything? I’m a bit skeptical. I think regulations will only be put in place after a crisis hits.
It’s always like that.
What do you think about the government investing equity in selected successful companies? You must like that.
I think it would be terrible.
You don’t like the government investing equity in AI research institutes or projects?
No, because then everyone would think the company is too big to fail. I don’t want a bailout. I don’t want government intervention.
7. Hyperscalers, Anthropic IPO and SpaceX
All right. Looking at the current structure of the hyperscalers, the top 7 companies, known on Wall Street as the “Mag 7,” excluding Amazon, Alphabet, Apple, and Tesla, are all jumping into this business. Meta has built its own data center, but it could also lease computing resources to outside companies if it wanted to.
Do you think these companies’ market capitalizations will reach $10 trillion within the next 5 to 10 years, or have they already reached their natural limits of scale?
I don’t think there’s a natural limit to scale.
All right. But I think the important question is whether this will unfold like the growth of the internet. When I was at Oppenheimer, Henry Blodget had an office right across from mine.
That’s right. He went out and said that the internet would generate tremendous wealth and conquer the world. He was 100% right. But he was wrong about the first generation of internet companies. The second generation went from strength to strength, using the foundation established by the first generation as a stepping stone. Maybe that will happen again this time.
Companies like AOL, Netscape, Yahoo, and Excite ultimately failed. Of the first-generation companies that come to mind, Amazon is the only one that’s done relatively well. It’s not that the current situation is better or worse. In the past, though, there were too many companies that didn’t even qualify to go public.
That’s true. There are 2 companies that have taken over everything right now.
Yes, that’s right.
Do you think Anthropic will go public this year?
It really should.
Yes, I agree.
I think they need to list right now because of Token Max. Their performance is going to start looking really bad. They have to grab the opportunity while the iron is hot. My conspiracy theory is that Anthropic needs to go public before the third-quarter earnings announcement.
All right. Why does OpenAI seem like it isn’t in such a hurry?
I think they’re in a similar situation, and that’s how it should be.
I don’t understand. All right. Do you think Anthropic’s IPO will go well? Aside from the fact that its performance isn’t particularly good, do you think the IPO will be well received?
Let me put it this way. SpaceX was the biggest IPO we’d ever seen. There was a lot of pessimism on Twitter, where pessimism is prevalent. People predicted it would hurt index funds and that money would flow out of other stocks to cover the size of the IPO. There was talk that shareholders would suffer huge losses from insider selling, and that it would start at $135 and plummet to $50.
With insider selling allowed, people could sell. Many said the stock would be a huge disaster, a disaster for everyone. But that didn’t happen. After listing, the stock price fell, rose again, and fell again, but it’s moving like a typical tech stock.
A company like Anthropic is of a similar size. Do you think it will have a similar reaction before gradually adapting to the market? I’m not sure.
Great. Let me ask you this: would you buy it if it went public? You’d never buy it, right? Then let me ask you something you might be able to answer.
I’ll give it a try.
Earnings increased by 30% this year, but investors are saying that growth can’t be sustained. The price-to-earnings ratio we’re willing to pay has also dropped sharply. What do you think about this situation? Is it a bull market or a bear market, or are you not bothered at all? I’m curious what you think.
I don’t know much about valuation. It’s sensitive in that respect.
All right. But what is the market telling you?
That’s purely a story. There’s only one important story right now, and that’s AI. If you tell me how the AI story will turn out, I’ll tell you how the stock market will turn out. That’s all.
Many people say the stock market isn’t the economy, but right now, I think that’s true to some extent. I believe that companies that haven’t even been listed yet have the ability to cause an economic recession. I believe the market performance of listed companies stems from derivatives of AI trading. And the bond market has come to realize, as Michael said yesterday, how important the ability to issue bonds is to yields.
I think the current economy has become one of those situations where it’s like the stock market. It won’t last forever, but right now, that’s the case. I think that’s true now more than ever.
Well, in that case, how important is it for this market to hold near its high, or for a catastrophic event not to occur? It feels like feedback, but I don’t think so. Let’s get back to my original point. If you look at the S&P, tech stocks make up 40%, and companies like Google and Amazon account for 50%. If you add investment banks, GE Vernova, Quanta, Eaton, Rockwell, and others, it amounts to 65% of the S&P. What about industrial stocks? In the end, it’s all just one trade. It’s AI.
There’s no need to discuss this further, right? If demand holds and someone is willing to support construction funding, it’ll be fine.
8. Housing Market: Worst Since the GFC
It’ll be fine. There’s another area I know well: the housing market.
Yes.
We’re currently in the worst housing market situation since the global financial crisis. Clearly, it’s not exactly the same situation, but it’s definitely bad. I can’t believe nobody cares, even though one-third of the economy is at recession levels. Nobody cares. Everything is running smoothly thanks to AI, right? That’s a huge relief. Thanks to AI, the stock market, and the way the current economy is structured, everything is running smoothly.
2022 was a really strange year for homebuilders. It’s really strange that housing construction stocks are booming when the housing market is paralyzed. Everyone who owns a home has been completely stuck. Interest rates were so high that I couldn’t sell my house, and there were neither buyers nor sellers. So what was left?
A massive number of new homes poured out. All the construction companies, including Lennar, Pulte, and KB, enjoyed a boom. They poured out all sorts of benefits like a frenzy.
But that situation is over now. It seems like people are gradually getting used to this reality: “This is how interest rates are supposed to be. This is what mortgage loans are really like.” But listings will definitely start appearing on the market, and housing-related stocks are plummeting. Lennar is falling day by day. There was a huge rebound today, which is fortunate. I hope it lasts a long time.
What do you think about the housing market?
I’ll think about it for a moment. The housing market is stuck because of interest rates. Housing prices have probably never been this cheap in our lifetime.
It wasn’t just that it was unaffordable. Considering the cost of the loan relative to income, it has probably never been this difficult to manage.
You’re right. It’s a disaster. Mortgage interest rates aren’t the only problem. Of course, interest rates are a problem, but housing insurance premiums, utilities, and taxes have also skyrocketed. Even so, housing prices didn’t go down. According to an estimate I received, if you include all the monthly costs of owning a home, home prices today are 50% more expensive than they were 5 years ago.
Yes, that’s right. I think so too. As a landlord, I believe housing prices will go down.
I think it’ll end that way. Yes, that will happen. It’s already started going down. Does it go down when the economy is in a recession, or does it go down because more is built? If supply decreases, supply in the market will increase.
For the first time in a long while, the number of home foreclosures is increasing quite significantly. Supply is increasing. However, demand is still huge. There are as many as 70 million people in my age group, and while not everyone needs a home, many people do. But I can’t afford to buy one.
Yes.
If the price doesn’t go down, I can’t buy it.
Yes.
You’ll be able to buy it when the price goes down. So I think housing prices will go down.
Do you think that will happen?
Eventually, housing prices will fall, but the process is so gradual that it seems it’ll take several years. Could a decline in the housing market actually revitalize the economy?
It’ll proceed slowly.
Do you think that’s impossible with interest rate cuts alone?
Dropping interest rates would be helpful, but there’s still a long way to go. As I mentioned, the burden of insurance premiums, utility bills, and taxes has become so heavy that it’s difficult to handle.
9. Who Will Call the Next Big Short?
It’s really hard to handle. Lastly, you said that everyone tries to be like Steve Eisman, but I don’t want to be like Steve Eisman.
You’ve already done enough.
There are more people predicting crises now. It’s not necessarily about betting money on predictions, but about using your reputation. You spend your time writing very negative research reports or Substack posts, or retweeting all sorts of bad news on Twitter. I think that if something bad happens, you’ll eventually look for the person who said the right thing before it happened. And that person will be regarded as, “This is the very person who foresaw that situation,” whether they were right or wrong. There are hundreds of people like that. There really are a lot.
Do you think that will happen after a crisis? Will we end up finding the so-called “person who spoke the truth”? Or will people say, “What you did will be difficult to replicate in the next crisis”? Because he didn’t just tweet. That’s the difference.
Yes, I think that’s right.
But what do you think when you see so many people competing to say the most negative things possible about what will happen next? Shouldn’t you be happy that you were wrong?
Yes. That’s exactly what I want to tell you. They were wrong, and I’m glad they were wrong. Look, there will be an adjustment someday. I don’t know what kind of adjustment that will be.
Is the lesson “Don’t make wishes carelessly”? Are you asking if it was good for you to become what you are after this situation?
It wasn’t good at all. To be honest, I was plagued by tremendous irritation and anxiety. Many people probably got angry at me. “You ruined the world. It’s all your fault.” I heard that a lot, and I was overwhelmed with anxiety. As you know, I never want to go through that again after hearing that everything is my fault.
Now, as I mentioned, whatever happens, it won’t be a serious situation like a financial crisis. You mentioned that institutions used 40-to-1 leverage in the past, but that’s not the case now.
However, if AI really collapses, could it lead to a severe economic recession?
Of course. However, it probably won’t be on that scale.
Well, I think that’s a good way to wrap things up. To those reading all these writings, comments, and opinions, I believe that although you’re not the ultimate authority, the perspective of someone who has gone through a much more serious situation will be helpful.
I don’t think it necessarily needs to be resolved that way.
Thank you so much for saying that, and thank you sincerely for appearing on the show today.
Steve Eisman, everyone. Shall we wrap up by taking some time to talk about our individual resumes?
How was it?
Yes, that’s good.
Everyone, on behalf of Compound and our friends, thank you for becoming the impromptu live studio audience today. I hope you had a pleasant time. Steve, Michael, and I all sincerely wish you the best of luck with your graduation from Miami and the start of your future careers.
Please give a round of applause.
Thank you.