市场动荡与历史的回响:AI交易裂痕与1873年大恐慌的启示 Joseph Wang 2026-07-04

AI 交易的动量裂痕:算力溢余与开源模型的成本战

近期市场动向表明,前期由人工智能(AI)板块特别是半导体和内存芯片主导的动量交易(Momentum Trades)正面临崩解的迹象。此前,由于硬件环节的产能瓶颈,相关内存芯片制造公司的股价几乎呈垂直式飙升,而今年翻倍的韩国综合股价指数(KOSPI Index)便是这波由杠杆和期权买盘推动的狂热风向标。然而,随着 KOSPI 指数失去上行动力并呈现“V型见顶”走势,美股市场中的相关 AI 概念股(如美光科技 Micron)也出现跟跌。

在这种市场情绪逆转的背后,基础层叙事已悄然发生裂痕:首先,算力稀缺(Compute Scarcity)的论调遭到质疑——Meta 计划将其富余的算力容量向市场转租,暗示前期过度建设导致算力供需关系出现松动;其次,越来越多的美国企业为了控制成本,开始转向成本更低但“足够好用”的中国开源模型。Palantir 首席执行官 Alex Karp 亦公开表示未来属于开源权重模型(Open-weight Models)。这种主权安全与数据隐私的双重考量,正削弱诸如 OpenAIAnthropic 等闭源专有模型(Closed-ended Models)的市场护城河。对于企业用户而言,将敏感业务数据发送给闭源平台面临着数据被吸收并最终被平台推出同质化竞争产品(如律所被“AI律师”应用取代)的潜在风险,这也使得产业价值链的焦点开始从模型层向应用层发生转移。

Original English Hello my friends. Today is July 4th and this is Markets Weekly. So first off, we have to wish America happy 250th birthday. And at the same time, I think it's happening in the context of the FIFA tournament, which is very exciting. Highly recommend you guys to tune in. There've been a lot of good games such as the game yesterday with Argentina, which of course was a favorite, but became very close to be pushed out by small country that no one has ever heard of. Now, in addition, I think it was a brilliant idea to host FIFA tournaments all throughout the Americas where people all over the world are able to see cities in America posting many interesting social media videos about it and learning that America is actually not as scary a place as they say on TV and actually in some places quite nice. They even have air conditioning as much as you want.

So today let's talk about two things. First off, let's talk about what happened in the markets because it looks like we're having a bit of a meltdown in the momentum trades. And secondly, let's talk about 1873, the new book by Liaquat Ahamed, which was who's also the author of Lords of Finance, one of my favorite books on financial history.

All right, starting with the markets. So if you look at what happened over the past few weeks, what's very clear is that the market has largely been driven by the AI stocks, specifically the semiconductors. So we know there are bottlenecks in RAM and the companies that have been making RAM have been making a lot of money and the market has basically been pushing those stocks vertical. The vanguard of all this is the KOSPI index, the Korean stock market index, which has doubled this year. Now, a lot of this is just leverage and momentum, right? People are buying a lot of stock on margin, through options, so forth and that's pushing it up. If you look at a KOSPI index, you can see that it looks like it's kind of losing momentum and maybe even V-topped and that's reverberating in a lot of US stocks as well, where Micron is not trading that well, and many AI names aren't as well.

Now, this could just be some of the leverage cracking, and people looking for a narrative. It's often like that, but there have been some compelling narratives over the past week that suggest that, you know, this there are real cracks in the AI trade. For example, last week Meta is talking about leasing their selling their excess compute capacity to other people. So, you know, the narrative being that there's been a scarcity of compute. If that's the case, why is seemingly Meta having so much compute they don't know what to do with that they're leasing it out to the market?

You also have other narratives that it seems like more and more US companies are open to using open-source Chinese models as a way to save costs. Now, the open-source models are not as good as US frontier models, but they are a lot cheaper and good enough. And of course, you also have Alex Karp of Palantir going on going on TV and kind of suggesting that the future is open weight models. For context, Palantir has been losing a lot of contracts throughout the world, where foreign governments don't feel as comfortable working with Palantir. The fear being that maybe Palantir is just going to send all that data that they give, the foreign governments send them to the United States government, which, you know, probably happens. So, there seems to be more of a concern of both sovereignty risk, but also data privacy risk as well, and that pushes people towards open weight models, which is very bad for, say, Anthropic and OpenAI.

Another thing we have to think about this is to think about how Amazon is reportedly operating. So, a lot of times, for example, some small businesses would begin to sell on Amazon, and their products could become very successful, and there are many reports that what Amazon would do as a giant giant platform would be to notice that these particular products are doing very well. And then come out with their own generic Amazon branded product and basically undercut all the small businesses and take the market. Many reports of them doing things like that. If you have a closed ended model, the closed ended model people could do something similar. Whereas if you are a corporation, you use your you use your closed ended model, send them all the data and it does help your business, but then the closed ended model gets all your data, is able to come come up with a product that is comparable to whatever your business is doing. Say that you're a law firm, maybe all lots of law firms use just just for example closed ended model. Closed ended model learns a lot of expertise from that data and comes out with their say lawyer AI app that basically tries to compete with law firms and maybe put some out of business. So, there's always a fear of having your data stolen and of course sovereignty risk. So, it does seem that it's becoming increasingly clear to many people that the future of the model layer in the AI system is going to be open. And maybe the value chain value comes at the application level with which of course will be subject to a lot of competition as well. And of course at the moment the compute is still very profitable. So, anyway, you have some more cracks as to just where the value is and of course a lot big source of demand for all this compute are the frontier models who are training themselves and that takes compute and maybe if closed ended models are not as profitable, they won't be spending as much to train them. So, that could be some impact of the demand. In any case, looking at price action, looking at narratives, more cracks in the AI model in the AI narrative.

指标滞后与宏观分歧:联邦基金与就业数据的Doomer解读

面对这一轮科技股的大幅波动,著名投资者 Jeremy Grantham 在媒体上重申了他对“超级泡沫”的警示。尽管作为常年看空者(Perma-bear)及传统价值投资者,其观点未必完全符合当前的资本运作逻辑,但他基于历史数据指出的规律仍具参考价值:在泡沫破裂的初期,往往是高估值领涨股首先出现滞涨或回撤,而资金此时会流入医疗等防御性板块,促使大盘指数在宽度上有所延展,甚至在危机爆发前创出新高。

在宏观政策层面,美联储主席在辛特拉(Sintra)央行论坛上重申了其不提供前瞻性指引(Forward Guidance)的立场,但其对于 AI 产业的表述被市场解读为偏向温和。他指出,AI 建设初期因数据中心的大规模资本开支而具有通胀效应(Inflationary),但在后期设施投入运营并提高生产率后则具有反通胀效应(Disinflationary)。本周的核心宏观数据非农就业报告则呈现出分化特征:新增就业人数远低于预期,但失业率却意外下降。这种下降实质上是由劳动力参与率(Labor Participation Rate)的下滑导致的。对于悲观主义者(Doomer)将此归结为“劳动者因绝望而主动退出职场,被迫投身零日期权(0DTE)或加密货币投机”的观点,这显然忽视了人们追求快钱的人性本能。在后疫情时代数据波动的背景下,这一数据更可能只是正常化过程中的技术性误差,而美联储政策制定者在未来几周将对失业率指标的有效性进行更为审慎的评估。

Original English Now, something else to keep in mind and you have Jeremy Grantham, a very famous investor making the rounds on TV talking about huge bubbles and so forth. So, Jeremy Grantham is a very successful investor. He's had a few very good calls in his career, but also note that he is a kind of a perma-bear who has not been right for some time. And of course, he is a value investor, which is obviously not how the world works anymore. But, he is very grounded in data and in history, and he makes a very good observation in that usually when you have these bubbles, the way that they end is that the high-flyers begin to lag. And maybe the rest of index is okay. And then everything falls down. And that's kind of what happened during the dot-com boom as well. During the dot-com boom, the Nasdaq peaked and several weeks later the S&P continued to go higher and higher. I think it went actually another 10% higher before it all tumbled down. So, technically what happens is that investors seeing that their AI trades or whatever is hot is not working began to reallocate to other sectors, say healthcare or something. The rally broadens up, and that protects the more broad-based indexes, maybe even pushing them to all-time highs. And then something tumbles. So, we've had the Nasdaq it seemingly not able to make new highs for some time. So, this could be the beginning of it of what would be a more serious correction. Again, just the beginning and if history is holds, we could actually see new all-time highs in the broader S&P 500 before anything bad happens.

Now, something else to note is we also got a lot of data and a little bit of Fed speak the past week. We had Kevin make his debut on a panel with at Centra, which is the ECB's Jackson Hole. So, he was here on stage with other prominent central bankers in the world talking about policy. Now, as someone who committed to not giving forward guidance, he gave none, but he did have slightly chatter that was interpreted to be slightly dovish and that is his views on AI, where he talked about AI as upfront being inflationary as people build out data centers, but afterwards disinflationary as those investments begin to pay off, which kind of is really a just a normal standard interpretation. It's kind of true anywhere, right? If you build a factory in the beginning you need a lot of labor, you need a lot of materials, and that could be inflationary, but once factory is complete, then you have more production and that's disinflationary. So, wasn't really that special, but it is again him going back to his core thesis that it AI is probably going to be disinflationary through higher productivity.

The big data release, of course, was the nonfarm payrolls report, which the market interpreted to be weak and priced slightly lower chance of Fed hikes. Again, on the margin though, it wasn't a in a big impact. So, the takeaway was that the headline jobs created was lower than expected, right? Much lower than expected. Uh at the same time, the unemployment rate declined unexpectedly, and that seems to be largely due to account of a rather large drop in the labor participation rate. So, when you look at this, I think it's kind of a mixed report. So, on the one hand, you can say that the headline jobs number created declined, so that is directionally weaker, but at the same time, Fed officials have been emphasizing repeatedly that they're not focusing on the headlines number created because of changes in demographics. They don't really know what would be the right number of jobs to create each month. It could be as low as zero. So, they've been emphasizing the unemployment rate as a better sign as whether or not of the health of the labor market and that declined. However, of course, the decline as many have pointed out is due to a drop in participation rate and the doomers can go and say, "Oh, there's so many people who are desperate and dropping out of labor market and so that's why the unemployment rate is lower." The doomer interpretation is always stupid. So, that is totally possible that some people do this, but you know, this thing fluctuates up and down, right? So, uh we've kind of risen a lot post-pandemic. Maybe it's a bit normalizing. Maybe people are just watching the World Cup. Maybe they are just hustling. Maybe they are just gambling in the stock market. It's hard to say. It could just be a data error. So, I think it's uh always wrong to reach for the doomer interpretation. Like, for example, the doomer interpretation for uh a jump in zero DTE option trading or uh spending actual circulation is that people are so desperate they can only make it by gambling, which is totally stupid because, of course, maybe some people are doing that, but uh everyone likes easy money, right? So, even you have the dentists, you have the doctors, people are well-off, you even have the president of the United States gambling bigly in crypto and all sorts of things, right? Everyone likes easy money. Everyone likes to gamble, no matter how desperate or well-off you are. So, that, of course, the desperation doomer interpretation of this phenomenon is just not very good and I think it would similarly not good for the drop in the labor force participation rate. Now, it's possible the Fed officials could look at this and say that, you know, a drop in participation rate makes the drop in the unemployment rate less valid. So, we'll see what they say uh fits in the coming weeks.

1873年的投机狂潮:战争赔款、资本流动与金本位阴影下的通缩

为了从更长的历史维度理解当下的市场逻辑,分析 Liaquat Ahamed 的新著《1873》提供了一个极佳的系统透镜。1873年席卷全球的投机狂潮源于普法战争后法国向普鲁士支付的巨额战后赔款。法国通过发行公债筹集资金并将其源源不断地汇往普鲁士,这笔巨额的现金流入直接引爆了奥匈帝国等中欧地区的投机泡沫。

在当时以黄金和白银为基础的硬金属本位制(Hard Metal Standard)下,资本跨国流动意味着实体金银的直接迁移,这与现代浮动汇率体系下仅影响汇率而不改变本国货币供应量的逻辑完全不同。巨额金银的流入导致维也纳等金融中心的资金供给严重过剩,利率随之大幅下降,为银行提供了极高估值的抵押品。与此同时,法国的资本外逃流入英国,同样催生了英国的投机热潮。

而在大洋彼岸的美国,投机狂潮则围绕着政府提供高额补贴的铁路建设展开,大量铁路公司通过发行债券获取资金。这一时期,政商勾结的隐蔽运作达到了顶峰。在美国,金融机构和铁路巨头为了获取 underwriting(承销配售)国债以及铁路开发的特许权,对公职人员进行了疯狂的游说和贿赂;而在欧洲,贵族阶层则通过在各类初创公司的董事会中挂名来为股票背书,以获取个人利益。

正如查尔斯·狄更斯(Charles Dickens)在1842年对美国人“凭空发财”的投机天性的描述,美国人天然具有更高的风险偏好与赌徒DNA。然而,这场由高杠杆驱动的投机盛宴最终在1873年猝然破裂,并开启了长达数十年、物价累计下跌30%至40%的严重通缩期(Deflation Period)。

Original English All right, the second thing that I want to talk about is, of course, this brand new book by um Liaquat Ahamed, uh 1873. So, I saw that Li Keqiang was making the podcast circuit, saw him do an interview with Jack Farley on Monetary Matters, and realized that he had a new book. So, I immediately went outside and bought it at the local bookstore. So, this guy wrote Lords of Finance, which is a historical account of the Great Depression through the eyes of the central bankers of the time. And it was it's a really good book. So, I immediately wanted to see what what happened in 1873. So, I think that I look at macro levels basically. Uh you know, it's all about judgment and context. So, being able to understand history is really important to understand how the world will work in the future. So, finished the book, easy to read.

So, let's talk about I'll talk about what happened. So, what happened in 1873? So, basically there was kind of a global boom in speculation. So, France lost the war to Prussia and had to pay Prussia a lot of money. So, they floated bonds and basically uh collected the money and sent it over. And this kind of what led to a huge infusion of cash into the Austrian-Hungarian Empire and well, that part of the world. So, what happened was that this fueled a tremendous boom in speculation in that part of the world. And what happened was that you know, like speculators began to build more stuff. And so, that means that real estate prices go up and that broadens the wealth effect. That creates more collateral for banks to lend against. And you had an overall huge boom and the preferred measure vehicle of speculation for at that time for them was stocks. And so, people began to gamble furiously in stocks. You had all sorts of people create startups uh just to issue stock. And there was just a huge boom. And in in to that, as France lost war, there was a lot of capital flight out of France into places like the UK, and that also brought a lot of money into the UK and fueled a speculative boom there.

Something to keep in mind was at that time uh was on the you know hard metal standard, right? So, money money was gold and silver. So, when you have capital flows, that's literally people taking bunch of gold and silver and moving it to another country, and the money supply of that country does increase. It's different than how it is today where we have floating currencies. Now, if I were to take a lot of money from Japan and move it to the United States, that does not impact the amount of money in the United States. It impacts the exchange rate, right? So, you sell Japanese yen, you buy dollars, the dollar strengthens. But back then, when everyone was on the you know gold or silver standard, when you move capital, you this country that this country that receives financial flows actually does have more money, and so that actually does um give people more money to spend.

Now, an interesting observation also just looking at this from a lens today where interest rates are largely set by central banks, back then when you had this huge influ- infusion of money um in into these markets, say Vienna, interest rates declined, right? Supply and demand, much more money flowing in, more money more money flowing in, and interest rates, of course, being at the price of money, declined and more more money to lend. Very different than it is today where it's not so much supply and demand. That has an impact on spreads, but it is what the central bank sets it to do.

Now, at the same time, you also had this huge boom in speculation in the United States, but it was a little bit different. At that time, the United States was building out railroads, and railroads were something that was heavily subsidized by the US government. So, you had all sorts of railroad companies popping up and issuing debt at that moment. And they were offering pretty good returns and there was a lot of speculation there. So, again, a lot of froth over there. One recurring story throughout all this narratives is that um you know, back then people were really uh a lot of people were bribing the government to get deals done. In the US for example, you companies, banks, railroad companies, massive bribery into and of public officials to be able to get deals done.

In Euroland, speculation was widespread. You'd have you'd have shoeshine boys, you'd have um you know, waitresses, you'd have aristocracy go and participate. And the aristocracy, of course, being politically connected would then lend their credence by sitting on boards of all these random companies uh to try to, you know, uh gin up interest for their stock. So, tremendous amounts of I guess you could say corruption between the public where the public sector is uh public officials are basically uh boosting private stock private stock prices uh for their personal gain. Uh just something people talk about a lot today and which happens a lot today, but again, was something that happened I think back then to a very large extent as well. It was just uh seemingly totally normal back then in the US to just go and bribe people and get your permits or whatever and then um uh for example, there's a lot of story a lot of stories back uh in the book where the US government back then, again, beginning to trying to raise more money, issue treasuries, and the investment bank that would get those deals was one that would uh furiously lobby for political connections, would get all these people connect to the treasury, would pay them off and so forth to be able to get these deals to underwrite uh treasury debt. So, who knows, maybe that's how it still happens today. But, in in any case, back then much more explicit.

Now, one other thing that I thought was super interesting and I want to read this passage about um about how some about actually Charles Dickens described the United States back then. So, I'm going to read it. So, early travelers from Europe, like Charles Dickens in 1842, had remarked on their taste for speculation and their desire to quote make a fortune out of nothing. As London's Spectator would later write, "Millionaires in America make corners as if they had nothing to lose, as if they were only an extensive game. An Englishman fears poverty excessively, and a Frenchman shoots himself to avoid it. But, an American with a million will speculate to win 10. And if he loses, take a clerkship without thinking much about it." The peculiarity makes them the most dangerous business gamesters in the world. So, guys, we have always been degenerates since hundreds of years ago. The Americans have always liked to speculate and gamble. It's just part of our culture and maybe part of our DNA as well, right? The United States is a place that's far away. In order to come here, you have to be someone who is just going to be more at least not risk-averse because you are uprooting yourself and coming uh to a foreign land far away, right? That that has to be in your DNA. So, you know, I I think just rampant speculation is just uh I guess it's an American thing to do. So, anyway, when we see that today and we've seen that recurring throughout the years.

通缩的政策解法:金银脱钩的意外与生产率革命

在1873年大恐慌发生后,由于当时缺乏具有价格稳定职责的现代中央银行,通缩的发展完全失去了控制。与2008年金融危机期间中央银行通过量化宽松等手段主动注资不同,当时的货币当局反而由于政策失误进一步收紧了流动性。

这种意外收紧主要源于全球向金本位制的过渡。随着德国、英国等国转向单一金本位,以及法、美等国事实上废除双金属本位制,白银被去货币化(Demonetized)。白银的退出在客观上导致全球货币供应量的急剧收缩,极大加剧了实体经济的下行压力。在美国,这一争端引发了长期的“硬通货”(Hard Money)与“软货币”(Soft Money)的政治博弈,并诞生了平民党人以“不可将人类钉死在黄金十字架上”为口号的著名抗议。在阶层博弈中,通缩有利于东北部拥有债权的富有阶层,但却对承担固定债务的广大中西部农民造成了毁灭性打击。

除了货币存量短缺的制度因素外,这一时期的技术性力量同样起到了关键性的反通胀作用。以机械化为代表的第二次工业革命显著提升了劳动生产率,而跨大陆铁路网的建成则极大地降低了物流运输成本,两者的叠加效应使得商品供需曲线发生根本性位移。虽然历史重演了当下的关税壁垒(如当年美国对加拿大 erected 关税壁垒),但相比于1873年,现代金融体系拥有更具弹性的法币信用体系和干预手段,这也是当代经济不大可能陷入彼时长期通缩泥潭的底层原因。

Original English Now, in addition to all this speculation uh in the various equity markets and the rural bond market, you also had growing speculation in international bond markets. At that time, the emerging markets were say um you know, all over the place, but in particular the book highlights Egypt and the Ottoman Empire as places that were suddenly very very popular among bond investors. So, these guys apparently lived luxurious lifestyles and had huge estates and so they would do road shows in Europe act very responsible and because speculation was so high, they were able to get a lot of money to uh lend a lot of money, which according to the book they they basically wasted on their huge palaces and so forth. But because speculation and sentiment was very positive, the money continued to flow in.

Now, ultimately though as what happens is that speculation ultimately ended into a bust. And this bust is interesting because it led to a period of significant deflation, say prices dropped 30-40% over the next couple of decades. Now in thinking about what actually drove that bust and period of deflation, we have to keep in mind that back then there was no central bank with price stability mandates. So, you know, the government really wasn't in charge of say 2% inflation or something like that. You know, deflation happens, you know, it's like the weather. It happens.

So, there's a few interesting things that happened that made this significant disinflationary event. First off, of course, we had a period of very high speculation, tremendous amounts of leverage. So, when it all eventually came tumbling down around 1873 and it happened in a rolling fashion, happened first in Vienna and then eventually to other parts of the world. Um people lost a lot of money. So, many people were totally ruined, right? Leverage and bust totally normal. Um what actually made this particularly interesting and led to a prolonged period of disinflation. Um not disinflation, that's not the right word. Deflation, outright deflation was that there was also a change in the monetary system.

So, just as money was becoming scarce because you had deflation and you had tremendous negative wealth effect, usually the central bank would come in like they did in say 2009, 2008, come and increase the money supply to try to ward off deflation. Uh you had actually had the opposite happen and it happened by accident. It happened because at that time a few countries were on the bimetallic standard, so gold and silver, but there was a global movement almost by accident to move towards a gold standard. So, uh as countries moved away from silver and there were countries like the UK were which were purely gold and you had countries like France that were bimetallic and the US also had a kind of a bimetallic standard as well. But as countries moved towards only gold, then what that means by definition, there's just going to be less money because silver is demonetized. And so, that exacerbated the deflationary impacts of the of the bust.

And this was basically a political decision. So, in the US, there was recurrently a lot of debate to try to remonetize silver and if you studied let's say AP US history, you would have remembered Brian Jennings' famous speech, "You will not crucify us upon a cross of a cross of gold, right?" That was the populist trying to remonetize silver to increase the money supply to alleviate deflation. Now, deflation had a very uneven impact in the US. If you were wealthy, say you were the financial centers in the northeast, you liked deflation because you owned a lot of bonds and your money is more valuable. But if you were a farmer, which which was the vast majority of the country, you saw the amount the price you would could get for your goods sold decline. And at the same time, you had debt that would had a fixed interest rate. So, you know, you were suffering, getting squeezed. So, this was something that actually cut across pop party lines within both Republican parties and the Democrat parties. You had people arguing for hard money, you had people arguing for soft money.

And at the end of the day, over and this happened over a few decades, it was ultimately in the decision to basically move to a gold standard was something that was by the count of the book almost by accident in that the guys who were voting for this really didn't understand what it meant. And um but the powerful lobbyists, they they seemingly did and they were able to get get that and successfully ward off attempts to go back to a bimetallic standard. So, this was a political decision as monetary policy is, has been, and will always be. And that kind of further squeezed the the the economy in the US and throughout the world. Scarcity of money exacerbated the the deflationary impacts.

But in addition to that though, you also had ongoing technological developments. The increase of mechanization, for example, really did increase productivity and that of course increased productivity means you can produce more with the same inputs. Deflationary impact. And at that time, there was also the creation of the railroads. So, now you have railroads that can more effectively, more efficiently ship things across long distances. That significantly decreased the shipping costs. And so that also reduced the cost of goods. So, you had all these impacts that were basically pushing down prices for a few decades. And that's kind of how it happened. And eventually, again, you know, your prices don't go down forever. It did stabilize. And part of it was basically just due to a stroke of a luck. So, there were new gold discoveries that came about. And so, the money supply just kind of naturally increased. Um and that kind of took things away.

So, it really was a different setting back then, different monetary policy, different politics, and uh just a different historical context. But again, we see the same things repeat over and over again today. Should we have a bust today in the markets, we have a, you know, different monetary system that is more elastic, and we have a different policy apparatus that will guard against deflation. So, uh that is going to be pretty unlikely. So, and I think we all know what the policy reaction will be.

But in any case, I I thought there was, oh, there's small tidbits that I thought were very interesting as well. Um as uh as deflation happened, people thought that the deflation was happening because of cheap imports from abroad. And so, they actually erected huge tariff walls uh to prevent uh foreign goods from coming in and basically competing with local goods, which is kind of something that we're doing right now. Fun fact, at the time, the US actually also erected a tariff barrier on Canada uh because they kind of wanted Canada to become the 45th state at the time. So, again, a lot of things that happened in now have happened before. It's kind of interesting to see history repeat.

All right. In any case, this is the book, 1873, very easy read. And that's how I prepared for today. Talk to you guys next week.

📌 文中提及的人物和组织

公司/组织: Meta, Palantir, Anthropic, OpenAI

媒体/书籍: 1873, Lords of Finance