Paul Krugman Podcast

My President Went to China, and All I Got Was Even More Expensive Gasoline

13 min · 15. Mai 2026
Episode My President Went to China, and All I Got Was Even More Expensive Gasoline Cover

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Transcript My president went to China, and all I got was even higher gas prices. Hi, Paul Krugman here. Recording a video today rather than one of my usual posts,.I just feel like I’ve been too immersed in charts and wanted to do something shorter, simpler, whatever. It’s Friday. The summit between Trump and Xi Jinping has wrapped up. Hard to say what exactly was accomplished, but at least Trump is saying that China is going to buy more US oil. That’s the headline on at least some of the financial sources that I look at. And in fact, crude oil prices in the United States have risen at least a little bit in response to that announcement. The odd thing is that Trump seems to think that China buying more US oil is a good thing, which it is probably not from the point of view of the United States and definitely not for him. So let’s walk through what all of this means. Background: The United States, which used to import a large part of its oil, is now a net exporter of oil. That’s what shale oil did. Since about 2020, we’ve been selling more oil to the rest of the world than we buy. Now that’s a net number. It’s actually a fairly complicated picture because there are different kinds of oil and the geography of oil creates some complications. So we have the upper Midwest importing oil from Canada, Texas exporting oil to Europe and it’s a bit of a mix of of where the oil is produced and where it goes so that there are actually quite large gross flows underneath that net transaction. But, okay, that’s not all that relevant here. What is relevant, you might think, is that the United States overall produces more oil than it consumes. And you might think, in fact, some people still seem to imagine, that this insulates the United States, that when the Strait of Hormuz is closed and global oil prices skyrocket, well, America, which is actually selling more oil than it buys, should be a net winner, which arguably is true for the economy as a whole, although as I’ll say in a minute, even that’s not entirely clear. But it’s definitely not true for most of the U.S. public. Most of us have little or no stake in the oil industry, but we buy gasoline and diesel and we buy products whose price ultimately includes the cost of gasoline and diesel. So higher oil prices hurt most Americans. And it’s the global situation that has led to higher prices in the United States. If you look at net exports of oil and petroleum products before the Iran war started the United States was exporting about 2.9 million barrels a day on net of oil. Now we’re exporting about 5.8 million barrels a day. That’s a response to the very high prices that buyers in Europe and Asia are willing to pay for oil now that the Strait of Hormuz is closed. That’s how markets work. That’s a significant contributor by the way to easing the impact of Hormuz on the world economy outside the United States. There were something like 20 million barrels a day of oil being shipped through the strait. Some of that is being routed around through pipelines across Arabia to the Red Sea. But a significant part of it, something like 15% of that shortfall is being made up by increased exports from the United States. We still have a looming crunch because a significant amount of oil demand is being met by drawing down inventories and we’re kind of getting to crunch point there but that’s a whole other issue. Now the downside for the United States is that more oil shipped abroad, unless we have a large increase in US production— which is not happening and won’t happen any time quickly — that means more oil being shipped abroad means less oil for the US market so prices have risen. And so here we have the United States which is self-sufficient and more than self-sufficient in oil, we’re nonetheless seeing gasoline prices $1.50 or $1.60 a gallon higher than they were before the war started and diesel prices up even more than that. So this is not a great thing for, this is a bad thing for most Americans and having the Chinese buy some more oil — hard to know what if anything is going to come of this — but having the Chinese buy even more US oil is going to enhance the negative effect. It’s going to drive gas prices even higher. Now there are beneficiaries. Basically, oil producing companies are getting a windfall. They’re getting a much higher price for their product. West Texas Intermediate, the benchmark price of the United States, was around $65 a barrel before the war started. It’s around $102 as I record this. So that’s a pretty big benefit in terms of profits for a select group of oil companies. Who benefits from that? Because in the end, corporations are not people, they are ultimately owned by people. Well, okay, people who own stock in oil companies are the ultimate beneficiaries of these higher profits. So who are those people? We don’t know exactly. If you look at it, it turns out that oil industry stuff is largely owned by institutional investors who in turn have other investors and it’s a more than a little bit not transparent exactly who the beneficiaries are here. But in general what we know about US stocks is two things: A significant fraction are owned by foreigners. There’s a little bit of dispute on this, but I’ve seen estimates that run as high as 40% of U.S. equities being foreign owned. If that’s the case then of these excess profits something like 40 cents on the dollar might be going to foreigners. Not totally sure about that number but what we do know is that among U.S. investors, among the U.S. public, stocks are basically held by a small fraction of the population, about half by the richest 1%, another 37%, according to the latest numbers I’ve seen, by the next 9%. So 10% of the US population, and this by the way includes mutual funds, it includes pension, it includes your TIAA — sorry TIAA, that’s only what academics have — it includes your 401ks. So US stocks are overwhelmingly held by a small fraction of the population. The great bulk of the U.S. population has very little stake in the stock market. For all the talk about it, it really is not something that’s terribly relevant to most people. On the other hand, almost everybody has to fill up their tanks and even if you don’t, even if you are carless in New York City, which is not very many people but anyway, even so, the price of almost everything you buy is affected by the price of fuel. And it’s affected by the price of fertilizer, which also is very much petroleum related. So, on balance, certainly 80, 85% or more of the US public is a net loser from higher oil prices and hence a net loser from increased US sales of oil abroad. Okay, you can think of a couple of ways that you might be able to change that conclusion. It would be more beneficial to the US public at large if oil companies paid a lot of taxes on their profits. Well, I can stop right there. Obviously the oil industry has historically been famous for not paying very much in taxes. It could be a good thing for the American public if wealthy investors who have capital gains as a result of this surge in oil prices pay a lot more in taxes. But again we can stop right there. The U.S. system in general gives people who derive their standard of living, their wealth, their income from capital gains a much, much lower burden than ordinary people. I mean, the income tax system is progressive. The income tax rate on — my favorite line from the movie Wall Street, $400,000 a year working Wall Street stiffs — they pay quite high personal tax rates, especially of course if they live in New York City. But the people who are getting their money from stocks and from gains in stock prices pay much lower tax rates. So this is not going to be a significant source of revenue and therefore it’s not going to ease the burden of paying for government on the rest of us. So very hard to see how you can treat increased Chinese purchases of oil as a win for America. It’s a win for people who benefit from higher oil prices, but that’s a small group of people, and it’s a loss for people who are hurt by higher oil prices, which is almost everybody. Why we should think of this as a positive outcome, well, obviously, I’m tired of pointing out things that Trump doesn’t understand, but what you would think is a little peculiar is that this is bad politically. I mean the price of gasoline has become a real flashpoint in the US political debate. You could argue that it’s looming larger than the actual share of gasoline in people’s budgets can justify. But in this case: historically, presidents have had very little impact on the price of gasoline. It’s always been a kind of a standing complaint among political observers that this price that presidents really don’t control should play such a large role in politics. Except this time around the price of gasoline is higher because Donald Trump decided to start a war. End of story. So in this case to the extent that it’s a negative — and the approval of Trump on prices in general and gas prices in particular is incredibly negative — you would think that he would know that getting China to buy more US oil is not something that you want to do now. It’s certainly not an achievement that you want to trumpet, but here we are. In the end I I actually don’t think this is going to happen. I think that the Chinese will in practice do what they’ve done on previous trade agreements, which is just say that they’re going to do stuff and not do it and it’ll all get kind of lost in the shuffle. But to the extent it happens, this is not a gain. If this was the major consequence of the summit, the United States scored another own goal. On that note, have a great day. Get full access to Paul Krugman at paulkrugman.substack.com/subscribe [https://paulkrugman.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

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Episode Talking With Azeem Azhar Cover

Talking With Azeem Azhar

I last spoke with Azeem, the proprietor of Exponential View, 18 months ago — ancient history on this subject. So we revisited the state of AI. . TRANSCRIPT: Paul Krugman in Conversation with Azeem Azhar (recorded 6/12/26) Paul Krugman: Hi everyone. Paul Krugman back on my usual schedule of recording interviews. And today I’m talking with Azeem Azhar [https://substack.com/@exponentialview], who I spoke to in January 2025, basically centuries ago in AI time. And with AI on everybody’s mind, I thought it would be good to revisit. I should say Azeem is an independent researcher and founder of Exponential View [https://substack.com/@exponentialview], which is one of the top tech Substacks out there. So hi, welcome to another conversation. Azeem Azhar: Yeah, thank you, Paul. And it has been eighteen months, also known as one and a half centuries in AI time since we spoke. Krugman: Yeah. Let me ask sort of the dumbest question: what is this thing called AI? How does it do what it does? I mean, even skeptics have to admit that it’s really impressive how it’s sort of leapt over all of the previous barriers. How is this happening? Azhar: You know, I think we’re still figuring it out. I think of AI ultimately as a machine that does certain things, and it’s been built by passing first millions, then billions, then tens of billions, hundreds of billions of trillions of words of human output through a neural network to give it some sense of how humans have thought about the world. And because it operates at dimensions well beyond the form of space and time, it seems to be able to find relationships between quite complex concepts. And I think we’ve all had that experience, whether we’ve been using Chat GPT or Claude over the last two or three years, that it seems to be able to recognize things that are quite deeply related that don’t immediately spring to mind. And in the last year and a half or so, the labs have started to train the AI models not just on words in books, but actually on tasks, like, “what is the set of things that you do to write a piece of code that does something?” “What is a set of things you do to use a piece of software in an enterprise?” And they’ve tried to train those models on those particular tasks. Essentially it’s aping what we do, and they use various mathematical tools like reinforcement learning where the model notionally gets a reward. Of course it’s not a reward the way you and I think of it because it’s a machine. Paul Krugman: Right. Azhar: And so that’s what it is. It’s sort of reflecting back, but also I think discovering some really deep relationships in the world that we might not spot, you know, prima facie as humans. Paul Krugman: Brad Delong [https://braddelong.substack.com/p/note-to-self-my-views-this-afternoon] calls it “a vast stew of linear algebra,” which makes some sense to me because I think that Pagerank with Google was the last thing I actually understood. And that’s the eigenvector with the largest eigenvalue. Not that anybody needs to know that, but this is like a million times bigger, right? Azhar: That’s basically it. Yeah. Krugman: But it’s sort of not what artificial intelligence was supposed to be, right? Azhar: No, not at all. I mean, I sometimes go back and look at the TV series of the seventies that I grew up with as a child, and they’ll always have an AI in the spaceship. Space 1999 had an AI you could talk to. And it was very precise, it was very clipped, and it did things and got things right. And there was a sense that you could trust it. But you’d never think to say, as I sometimes do now, you know, “Find me five analogies to help make this point.” I use it as a brainstorming partner, or I give it tracts of my book, the book that I’m writing, and say, you know, “How would Paul Krugman criticize this argument?” And I get suggestions that I then work through by hand? I don’t think we really imagined it would look like that. Krugman: Yeah. In sci-fi it would talk in a monotone and would be relentlessly logical. And in fact these models are unpredictable, they’re sometimes temperamental, they’re not reliable. That’s probably one of the big problems. It’s not at all what we imagined. Azhar: It’s not at all and this point about reliability is so complex. A couple of months back, one of the versions of Anthropic’s Claude came out and I found it so sycophantic that it became unhelpful because I like these things to help me on hard problems and to challenge me. So I switched back to Chat GPT, which has always been a little bit less friendly. And what’s going on there, Paul, is that because we don’t really have a good theory about how to build these. They are developed almost like in a petri dish and nudged in particular directions so they take the shape that we expect them to take. And to use an economist term, they improve non-monotonically with every release. So you’ll see the latest release of an Anthropic model, and there are maybe twenty or thirty public benchmarks that they’re measured against, like how well they summarize text and how well they write software code. And the next version of the model won’t necessarily be better at everything than the previous version, because you lose something in order to get it. And that’s the complexity that the labs are wrestling with. Krugman: Wow. Okay. Second naive question. I don’t think I’m a Luddite. I’ve always been happy to adopt technologies, but maybe I’m incurious on some of these things. I tend to pick up things like mathematical techniques, as needed, because I see something that could be useful. Now, I’m using NotebookLM to extract tables from PDFs, that sort of thing. But what should I be doing? I have friends who are using Claude a lot, but I can’t quite figure out what particularly agentic AI should be doing for me. Azhar: You know, I’m really sympathetic to that because I have the same issue. These tools have been developed by software developers in a really particular part of the world, which is Silicon Valley, where the culture really revolves around the art of the programmer. And so if you have a programmer’s day and you think in coding terms and you have programming workflows, it becomes really obvious what you do with a really advanced AI tool. I do a lot of research, some of it qualitative, some of it quantitative, and in such a world, those workflows don’t match the way that I think through problems. And so the way that I get around this is that I do look at things on Twitter or X as it’s called because people are sharing tips. And I often just ask the models, you know, “What could I do with you given that I’m trying to do this thing? I’m trying to solve this problem.” And it will come back and give me a suggestion. And I have had some success with agents. So I have an agent called R. Mini Arnold. So R is a play Isaac Asimov’s robots. They’re all called R. Arnold is after the good Terminator in Terminator 2, played by Arnold Schwarzenegger, who protects humanity. And R. Mini Arnold is available on my WhatsApp and it’s available on email. Krugman: Okay. Azhar: And it has access to a whole set of resources. It can browse the web, it can access LinkedIn, it can access Twitter, it can look at my library of PDFs of research that I’ve downloaded. And I can throw tasks to it a little bit like I would say a pretty decent but slightly temperamental graduate student. So sometimes it just disappears for six or seven hours at a time. And one of the differences between using an agent like that and using Claude is that R. Mini Arnold has a lot of my life’s context. It knows the music I like, it knows the book I’m working on, it knows the investments I’m making, it knows the essays I’m doing, it’s got the calendar of speeches that I’m about to give. And so when it goes off and does a task, it tries to figure out what in my world is this going to be relevant to and where can I draw threads from? And when it works, it is really sublime and it does feel a little bit like science fiction. But I would say it’s incredibly brittle. I mean there’s breaks every four or five days. A specific example was, I was thinking about the Paul David’s research about why electrification took the time it took. And I wanted to understand what were the determinations of determinants of that thirty-five year lag from Pearl Street generation to, you know, productivity growth. What could the levers be? And so I threw that into R. Mini Arnold and it set up a team of sub agents which had personalities of key economists and was able to go off and do research the way the AIs do, but also research on all the academic papers that I have downloaded in the past. I have access to JSTOR, I’m allowed to download a hundred PDFs a month. It can look at all of those and start to compile an answer in a way that perhaps a Chat GPT can’t. And it knows the context of my book and it knows the context of the essay I wrote. So what then comes back is something a little bit more structured that I can then play with. It’s a marginal improvement on doing this on Chat GPT. I’m sure you could probably figure out how to do it. But it’s quick. I use it on my iPhone. I often do this when I’m walking through the airport and I want to solve this and have this result when I’m sitting on the plane. I’ll fire that query out and it goes back and goes out and sorts that out for me. Krugman: Okay, I guess I’m getting it. But obviously you and I are not typical. The people who are using AI the most are going to be middle managers, business people, etc. And I find myself thinking about what I think of as the homemade pasta problem. Azhar: Mm. Krugman: You’re probably too young for this, but there was a time when I when young and we were using stone axes for computing, and there was a big fad of making your own pasta. Little pasta machines were everywhere. And then at a certain point there was kind of a collective, “What the hell are we doing? You know, store bought pasta is actually better. The Italians don’t do this.” And I have to think that for most tasks, the range of agents can’t be that wide. But why wouldn’t they sell that kind of thing off-the-shelf, as it were? Azhar: Yeah, well I think it’s different for an independent person or a small business or a middle manager in a big company. I would imagine that you will start to see people selling specific agents that solve your marketing problem. If you have a barber’s shop and you’ve got four chairs and maybe 30 people a day coming through. Right now what you do is, you go to ChatGPT and you help it write your collateral for your website. That feels like it’s an interim step to somebody delivering the actual finished product. Why haven’t we seen it? I think we haven’t seen it yet because the terrain is still big enough. Beyond Anthropic and OpenAI, there’s a lot of other companies building agents that are these end-to-end workflows for businesses. They still believe that the prize for them is to build the generic platform that is the tool for all tools. Because if you get that right, you have a much, much bigger business than if you’re just a vertical application. And I think we’re only a year or two into these entrepreneurs building such businesses. I think as some of them succeed and some fail, the ones that are not able to succeed in the general space will start to verticalize, which is what we saw in the advent of the internet. We saw it in software as well. But I think within a big company it’s a different set of questions because you have far fewer degrees of freedom as a marketing manager in a large company than you do if you own your own barbershop. You have all these rules, you have all these other teams you have to interface with, you are held to the priorities and the plans of the company as a whole. And in that instance, I think, it’s much harder to see how you use AI to really change the way you work. Krugman: Yeah, I mean, again we’re talking about ancient history here, but you know, everybody still uses Excel, even though it has always been horrible. But the constraints of corporate life mean that everybody has to use Excel. So that means maybe we’ll see quite a lot less coding a few years down the pike because the people will just be able to purchase whatever it is they need. I don’t know. Azhar: I think there’s a balance. You hear people proselytizing heavily, saying, “I think this technology is going to be impressive and have a significant impact.” But when people pitch this, they forget that there are other actors in the market who might respond to what’s going on. Right now, if you’re a large company, you want to be building as much as you can because what you can buy isn’t right for the market. If you think about Henry Ford putting together the Highland Park plant, he couldn’t go to a supply chain and buy what he needed because nobody was thinking in those terms. I think we are slightly at that stage for large corporates now. Whether we’ll be there in five years, I don’t know. The question we have to consider is where the value will reside: between having your own capabilities to design software for your processes, or handing that over to another company designing software for a hundred businesses like yours. Historically, it has made more sense to hand it over to another company, but the cost curves may have changed sufficiently that you’d rather have the nuance and control to do whatever ‘vibe coding’ becomes in 2030. Krugman: I know with healthcare software, organizations like the VA that built their own have done much better than the ones who tried to buy it from Microsoft. So yeah, it might be a story that makes sense. And actually, since we’re talking about going for the models versus something much more specific, how do you think about the Chinese versus the big US AI firms? Azhar: I’ve just spent eight days in China and I was really fortunate. I got to speak to developers and engineers and management from about a dozen of the Chinese labs. In many cases they hosted us in their offices. The main thing the Chinese companies say about the US firms, is that Claude code is brilliant and Claude is the best model that is out there and they really couldn’t get enough of it. The term is, they’re Claude-pilled. They talk about the constraints on getting access to computational power but just in a way that’s a fact of life. I mean there’s no sort of commentary on it other than it’s hard. They have to figure out how to get around that and how to build a culture of efficiency when you don’t have as much [computational power] and I think they have built a culture of efficiency really, really well. I think it’s going to help them over the longer term. They don’t really talk about competition with US labs the way the US talks about competition with China. But they do see themselves competing with each other. And as you know, that’s what the Chinese economy is. It’s mayors in different cities who almost act as venture capitalists who compete tooth and nail with each other to become the electric vehicle hub or the solar hub or the AI hub of the nation. And what I would say is, the models are really, really capable. They’re very efficient, which is why they’re so cheap to run, which makes them very competitive for a whole range of tasks. But at the margin, it’s instructive to note that everyone was using Claude for coding as opposed to the cheaper Chinese version. Krugman: That’s interesting. So you can imagine a future where a lot of businesses are actually using these less comprehensive but much cheaper models. I think what I’m gathering from you and from other people is that a lot of entrepreneurs in the US are still dreaming of the uber-model that solves all problems but that probably is not going the way it all goes. That in the end we’re gonna end up with a lot of specialized models, but also the uber-models will still have a role. Azhar: Yeah, it never made sense to me that you’d have a single model that would do everything because if the single model is going to solve the Riemann hypothesis, it’s gonna require a lot of resources. And if all you need to do is get it to root a bill to the finance department, it seems a bit silly to ask Einstein to come and do that for you. We’ve had segmentation of markets for a long time and it’s like with airlines. There’s a reason why not every seat on an airline is first class. Some passengers don’t want it, don’t need it, won’t want to pay for it. So I do think that the ecology looks like a whole array of much, much cheaper models that are serving by volume lots of corporate needs, and then having more sophisticated, complex models for the more complex tasks. I think you’re already starting to see this. I don’t see it, by the way, as a shock to the industry. I just think this is what happens as an industry matures. You know, you start with one size fits all, then you start to segment your customer needs and you start to serve them in the most profitable way you possibly can. And that just feels to me like the way that the markets have matured. Krugman: Okay. Let’s move to more macro considerations. People have been worrying about a bubble. A lot of us still remember the nineties quite vividly and think about all of that. But you just aren’t seeing the bubble. You wanna talk about that? Azhar: I remember what it was like in the nineties. I lived through that one and also the housing bubble, which frankly was far, far worse and much more terrifying. I have a really simple mantra here, which is that honest customer revenues tend to be the engine that gets you through this, right? You know, what caused the problems with the US railroads in the 1870s and 1880s? It was that the revenues didn’t materialize because the tracks were being laid in places where there were no towns. That was a problem. The same was true in the dot-com era. My team and I realized last year that it’s very hard to get good quality data on how much was actually being spent by American businesses and consumers on AI. So we’ve spent several months building systems and gathering data to give a deduplicated view of what that number is. And just to give you a sneak preview, is $150 billion per annum, annualized at the end of May 2026, and about 90 billion dollars in the previous 12 months, from May ‘25 to May ‘26. So you can see it’s growing, and those are deduplicated numbers. So if you spend a dollar with OpenAI, and they have to pay Microsoft 60 cents to run the servers, we only count that as a dollar. We don’t count it as, you know, $1.60. It’s a much faster revenue growth rate than mobile or the internet. It’s also a small number because the US is a $32 trillion economy. And I think the thing is that at that level of spend, you are able to roughly cover the depreciation on the enormous capital expenditures that have gone into AI just this past year. But next year or the year after, you have to double your revenues again and again in order to cover these increasing commitments. The thing that often pricks a bubble is when financing starts to get a bit smelly. That was clearly the case in the global financial crisis, where synthetic collateralized obligations were magnifying the risk on subprime mortgages—it was all “smelly finance.” In the dot-com bubble, the dot-coms themselves didn’t really have much smell about them. There was a lot of disbelief, but the telecoms clearly had issues with their internal revenue generation. So the other thing that we look at is how bad, poor, or strong or robust is the funding quality. And that funding quality measure is definitely getting worse. It’s worse now than it was nine months ago. But it doesn’t seem from the numbers to be at the level that it has been historically when these things have imploded. Nor does it seem to be the type of exposure that is really systemic, which is what we saw in the global financial crisis. There are companies like Oracle and Coreweave whose debt looks very risky, and it’s harder and harder for them perhaps to raise money, although Oracle just did. But it doesn’t feel like it’s systemic. You know, when the the global financial crisis popped, no one knew who was in trouble, whereas now you’d be able to isolate it with a single company or a single firm. So at the moment we feel that this is still a demand-led boom, that funding quality has definitely gotten worse, but not so bad that I would say that there is an imminent problem on the horizon. Krugman: So at this point, you’re saying that roughly speaking, final demand for this is about half a percent of GDP. What share are AI-related stocks in market value? It has to be substantially larger than that. Azhar: They’re about forty percent of the S&P 500 right now. Krugman: That’s a huge mismatch. Revenues are not the same as profits, but you’re talking about what is still a relatively small business relative to this immense economy, yet it dominates the financial markets. That would be at least a possible source of alarm. Azhar: Let’s dig into that, because a stock price is a reflection of the expected future value aggregated across the market. Forty percent feels high, but if you look at the measure of earnings, these companies actually have a much higher proportion of earnings and earnings growth. If you look at the US stock market in 1900, after the railway calamities of the mid-to-late 19th century, railroad stocks were sixty percent of the capitalization of the US market. We had worked our way through the busts by that point. There’s a fantastic piece of academic work by an American finance professor named Bessenbinder. He looked at the stock returns of 23,000 US stocks from the 1900s through 2022. Those returns are highly concentrated. About two-thirds are concentrated in roughly 30 companies. Those companies are oil, electricity, or car companies—the general-purpose technologies at the start of the 20th century—or they are the IT companies like Apple and Nvidia. The only exceptions were Walmart, a couple of healthcare businesses like Pfizer, and JP Morgan. Historically, you get this concentration of a number of winners when you have a new general-purpose technology, and that is showing up today. I don’t feel we’re overly concentrated from the perspective of risk, and the price does not feel totally out of whack compared to where we were during the dot-com era. Krugman: One last devil’s advocate question. I keep thinking of the California gold rush. If you had looked at the revenue and spending on gold-rush-related businesses as a whole, it probably looked solid. But the trouble is it wasn’t the gold; it was the picks, shovels, blue jeans, women and whiskey that were the revenue streams. Is that a fair question to ask about AI right now? Azhar: It’s a great question to ask. The question is what determines that $150 billion annualized demand? We see that just under 30% of the S&P 500 have pointed to a generative AI project with a quantifiable result in their earnings calls. They are under pressure to say they do this, so maybe that’s what’s going on. But when I talk to executives, like 30 finance businesses in New York, they all plan to spend more next year, even though not a single one could point to even a 10 basis point improvement in their business from the investments made so far. Krugman: Right. Azhar: When we break out that $90 billion, $60 billion of it is in the US. That’s a lot of money for a single company, but spread across thousands of firms, it’s still at the experimental stage. We should consider whether these executives are learning by doing. The messages I get vary from those having success in the tens of millions who want to reach hundreds of millions, to those finding it harder but persisting. We’re slightly beyond pure picks and shovels, but in Paul David’s work, it took 50% of American companies getting electrified before the productivity rise. We’re a long way from that. Krugman: Headlines flashed about a KPMG study with case studies on the usefulness of AI [https://smallpdf.com/file#s=a35e268b-87cf-4380-b3f2-77b78c9e2274&r=read] that turned out to be AI hallucinations. It’s a wonderful thing. Azhar: It is brilliant. One thing that is quite challenging is that the market has talked a lot about bottlenecks. We saw this with railroads when the US couldn’t make enough steel. There are these bottlenecks, and there’s a lot of emphasis on power and getting electricity to the system. There’s more demand than supply capacity for AI right now, but there’s a question of whether there’s enough capital. We may see another few trillion dollars of intention from tech companies to build infrastructure to 2030, which starts to rival the new issuance of the US Treasury at $2 trillion a year. I’m wondering if this capital constraint is going to be an issue or if the market knows how to clear it. Krugman: Ordinarily, we’d expect to see that in prices. Real interest rates are well off their pre-COVID lows. They are higher now, but still substantially lower than at the peak of the nineties tech boom, when they were around four percent. They’re more like two now. It’s surprising, given the AI boom and massive budget deficits, that rates aren’t even higher. Whether this is an actual constraint, Nvidia is not the US Treasury. They need risk-tolerant capital. The possibility that these firms may not be able to raise enough money is something we need to think about. Azhar: Yeah. On that Nvidia point, I saw that credit default swaps on five-year Nvidia bonds—the cost of insurance against default—are currently lower than US Treasuries. Krugman: I saw that, and it strikes me as completely crazy. If you think the US government is not reliable, you shouldn’t be investing in chip stocks; you should be investing in canned goods for your bomb shelter. But anyway. Azhar: Are you telling me that markets aren’t perfectly rational, Paul? Krugman: Good heavens, I can’t say that; they’d take away my economist card. We’re recording this on SpaceX Day, and I’ve been wondering if there are limited pools of capital for cutting-edge investments. I wonder whether Elon Musk is diverting capital that AI might need. A whole lot of meme money is pouring into SpaceX right now. Is that something I should be thinking about? I mean, he’s got what everybody tells me is a crud AI product in Grok, and yet… Azeem: Musk showed his willingness to adapt; his AI product is now being subsidiarized using his capacity to serve customers like Anthropic. He has an incredible following, but people who have worked with him say his ability to relentlessly focus and optimize sets him apart. His first-principles thinking has brought down the cost of space launches faster than anyone in history. He pushes the rate of learning aggressively. For all the challenges and his mercurial behavior elsewhere, that’s generally a good thing because technology has brought down the cost of inputs significantly. We’re going to be much further ahead in space than we would have been if SpaceX had not been successful. It raises questions about how to govern what used to be a commons, but there is a definite benefit from coming down that learning curve so quickly. Krugman: That’s fair. The one time I looked at Musk’s activities and thought he was really onto something was when I realized he diagnosed that the cost of space launches is really the rocket, not the fuel, and recovering it makes all the difference. Being able to make it happen is a real productivity thing. This is all moving so fast that we don’t have time for the technical productivity issues we had in the past. It’s feeling like a Solow moment where people say, “I see the technology everywhere but in the productivity statistics.” Do you want to talk about that? Azhar: It comes up all the time. I wonder if we need things to happen more quickly than we used to. We aren’t seeing it in the numbers yet. Erik Brynjolfsson at Stanford says he thinks it is showing up in the aggregate numbers. How quickly should we expect a technology like this to show up? At $90 billion a year, that’s not much of US GDP. These are early stages where companies are learning. The first $100 million you might spend on AI is about learning, and we’re in that mistake-making phase. The model Paul David and William Devine talked about in electricity is helpful. In the first phases, you’re retrofitting your capital stock and processes with the new technology. It’s not until you depreciate existing capital and change processes—like Ford did at Highland Park—that you see productivity benefits. To put numbers to that, what would we expect to see in the Ford equivalent of Highland Park in terms of output? Krugman: Yeah. Azhar: I thought we might see what happens to revenues per employee in an AI-native firm. Across high-end companies like McKinsey, it’s about $400,000. For Meta or Google, it’s about two to two and a half million dollars. In AI-native firms like Mercor, that number is closer to seven million dollars per employee. For Anthropic, it’s close to ten million. You can measure the enormous commercial productivity of a single employee if a firm is AI-native. We’re talking about a handful of firms, but we can pick up the shape of what’s possible for the productivity of a single employee. It may be hard, it may take time, but it’s possible. Krugman: What would those numbers look like per dollar of invested capital? One worry is that this is an enormously capital-intensive business that replaces labor. The oil refineries of New Jersey have enormous revenue per employee because there are no workers, just monstrous capital installations. Is that a factor? Azhar: Anthropic has raised in the tens of billions rather than hundreds of billions and had a profitable quarter ahead of schedule. What we don’t know is how much of that capital goes into developing the next model versus monetizing previous generations. Their IPO in the next six to nine months will tell us. Chinese companies are using much less capital to build models that are nearly as good. So I think the harder part of your question is that if every model that OpenAI or Anthropic costs ten times as much to deploy and develop, but lasts only a couple of years before it’s defunct because of competition, what needs to be true for that to be sustainable for more than a year or two? To me, that is a really tricky question as well. Krugman: You’ve cited intermediate measures. Rather than revenue, we look at generated lines of code, which has exploded, versus actual usable applications, which hasn’t. Does that tell us anything? Azhar: Lines of code is an odd measure. We’ve made it much cheaper to write code, so less determined people are writing it now. It’s unsurprising the increase hasn’t been met by proportional productivity. Data suggests we’re getting more high-quality code, but also a lot of useless waste. This isn’t the first time a useful input in the economy generated waste. Think of a barrel of oil: we count the whole value in GDP, but two-thirds is thrown away as waste heat. Only one-third is useful energy. Sloppy lines of code are a similar form of waste we’ve been happy to tolerate in other sectors for a century. Krugman: A weird analogy is when widespread word processing came in. Books started getting longer. It was so easy for authors to turn out hundreds of pages. What might have been a two-volume series became five. Azhar: On that front, we’re at an enlightenment moment. In 18th-century France, the battle was over who gets to write and express their story. Men and women produced remarkable works with quill pens that encapsulated a world. Krugman: Right. Azhar: Is it worse that we allow for more expression? We are worse off when that connects to an algorithmic recommendation system that drives constant slop at us. But we aren’t inevitably worse off because we’re giving access to many more people. In reducing costs of access, we might find amazing people. In breaking down silos of knowledge, we might find connections—perhaps something in battery chemistry that is useful in cardiology. We don’t know because we’ve never been able to get those experts to talk. I look at each opportunity discreetly. Krugman: There is a potential book here: The Upside of Slop. This is an unrecognizable scene from eighteen months ago. Wow. Azhar: We could get ChatGPT to write it. Krugman: I started my career writing papers longhand on yellow legal pads. Amazing change. Azhar: I still write everything with a fountain pen. I’m writing my new book longhand and most of my research is too. The computer is turned off because AI does all the boring stuff like PowerPoint and emails, giving me time to apply my brain to things I want to think about. I’d be happy to continue this conversation in a few months. Thank you for inviting me. Krugman: Thanks so much. Take care. Get full access to Paul Krugman at paulkrugman.substack.com/subscribe [https://paulkrugman.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

Gestern47 min
Episode A Gesture of Contempt Cover

A Gesture of Contempt

A quick video, thankfully not from Midtown Manhattan Hi there. Paul Krugman with a very quick update. I haven’t done a regular post today because I’m jet-lagged out of my mind, but I just wanted to weigh in on something that will be happening a few minutes after I record this. Which is that a significant piece of Midtown Manhattan — the area surrounding Madison Square Garden — is about to be closed to all pedestrians. This is because of the Knicks game which is in Madison Square Garden. And Donald Trump is attending the Knicks game. Which means that the game entry itself is going to require enormously strict security. People are forbidden from bringing any kind of bag in there. It means that what should be an exciting joyous occasion is going to become quite hellish with long lines and who knows what else. But what really may not be obvious to many people — you might not know if you’re not a New Yorker — is that Madison Square Garden sits on top of Penn Station. That’s a story in itself, but there it is. And Penn Station is the busiest transit hub in America. It is where 600,000 or so people pass through on their way to and from New York by way of the Long Island Railroad and New Jersey Transit. I’ve spent a lot of my life waiting for trains at Penn Station. And it’s completely insane to ruin people’s day like that. You could say, well, what else are you going to do if you’re going to have to provide security for the President of the United States? And the answer is, Why does he have to go to this thing? The simple way to make several hundred thousand people’s lives noticeably better, at least for today, would be to just not go to the damn game. He can watch it on TV. He can go have a cage match in the ripped up White House lawn, if he likes. It’s not such a small thing. It shows a kind of contempt for ordinary people and a kind of self-aggrandizement — I want this so I’m going to make other people’s lives miserable just to indulge my whim — that is part and parcel of everything else that’s going on. It’s a small thing but my god I would actually have had a problem if I went into my office today because my office is not that far from Penn Station. It’s not in the banned zone but it’s going to be nightmares all around. All right, just another message that the people in charge do not care about people like you. Get full access to Paul Krugman at paulkrugman.substack.com/subscribe [https://paulkrugman.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

8. Juni 20263 min
Episode Comments on a Freaky Friday Cover

Comments on a Freaky Friday

Hi everybody. I’ve been having an extremely busy week, so no two talking heads conversation this week. Just my head talking alone for a relatively short time. Hi, I’m Paul Krugman. I’m winding down some travel, and I’ve been meeting all sorts of people face to face, so virtual interactions are down. So just to give you some kind of Saturday video, I thought I would talk a little bit about latest economic news, markets — things that I don’t normally weigh in very much because that kind of market commentary is usually something that is best done by business economists who are focusing on the day-to-day stuff talking to market participants. But I think that the latest stuff is interesting enough to warrant some discussion and maybe a way to think about where we are economically right now. So okay, if you’re paying attention to this stuff you probably know that yesterday was a job report day. The report was unusually strong, certainly stronger than almost any of the professional forecasters expected, 172,000 jobs. Predictably, Trump first boasted about this with a lot of talk about how you know we didn’t have this kind of prosperity under Joe Biden. It is kind of odd given how well things are supposedly going how much Trump and his people talk about Biden. If it was really that much better would you need to be constantly comparing yourself and making claims about how much better you’re doing? For what it’s worth you know how often during his 48 months in the White House did Biden preside over job reports that were as good as yesterday’s in terms of job creation? The answer is 37 times. Now, there are reasons why the rapid job growth of the early Biden years, which was coming out of the COVID slump, can’t be replicated. And the fact that immigration is way down means that a normal jobs report is going to be a lower number. But still this was unexpectedly high job growth but not really something that should alter your fundamental view about how the economy works, although the near-term outlook looks stronger than you might have thought. One thing I should say, since there are some people wondering, can we trust these numbers? And particularly pointing out that the unemployment rate did not fall, even though we had a unexpectedly big job creation number and wondering how does that add up, are these books being cooked? The answer is no. You’re not helping by saying that. I’m not saying that the books might not be cooked at some time in the future, but we will know. It will be obvious that this is happening. And it would basically be impossible to do it without there being lots of warning bells, without there being lots of whistleblowers. So far, the Bureau of Labor Statistics is still apolitical, professional — under-resourced, which is becoming a problem — but these are the best numbers they could do. If you’re puzzled by how we can have strong job growth and no change in the unemployment rate, the answer is that these are two different surveys. The unemployment rate is based on a survey of households. The job creation number is based on a survey of employers. Those numbers don’t have to match up. I mean, in an ideal world, they would always tell the same story, but there’s statistical noise, there’s sampling error, there’s just conceptual differences. So this kind of discrepancy is not that unusual. And what it really tells you is, well, is the economy, is the labor market really sort of flat, which is what the unemployment numbers suggest, or are we seeing at least a mini boom in employment, which is what the nonfarm payroll numbers suggest? And the answer is who knows? Time will tell. Over the course of a year there’s not usually a significant discrepancy in the stories these numbers tell; month by month, well, it’s noisy and you shouldn’t overreact. Okay trying to make sense of what is going on — why is the labor market as strong as it appears to be? One important point about the economy right now is that there are three big forces that are hitting us. It would be really great from the point of view of professional economists if just one thing would happen at a time. But unfortunately, that’s not how it works. So there are three things happening. First, we are still feeling the effects of Trump’s erratic tariff policy, which has had a depressing effect on employment — not so much the tariffs themselves as the uncertainty. It’s very hard for businesses to make plans, very risky for them to sink money into new ventures when they have no idea what the tariff regime will be a few months down the road. But that uncertainty probably did a one-time hit to employment which is mostly probably behind us because yeah we have crazy erratic trade policy, but that’s now just a piece of the landscape which affects the level of employment, maybe, but not the rate of growth. The second thing is AI. So we have this enormous boom in spending on data centers, a large surge in investment, big rise in stock prices because of hopes about what AI might return. There are not that many people who benefit from high stock prices, but these are people with a lot of money and a lot of spending power. And if they go out and spend more, that boosts the economy. So that’s a sort of force that operates in opposition to the effects of the tariffs. And possibly the AI-driven spending is coming on now while the tariff effect is sort of closing out. About oil: For what it’s worth, prediction markets are by and large evil things, but they do give you a quick way of summarizing conventional wisdom. And just about a week ago, Kalshi said that the probability that the Strait of Hormuz would be open by August 1st was 60%. It’s now 26%. So people have justifiably gotten very skeptical of White House pronouncements that this is just about over. They should have been more skeptical before. But anyway, it just does not look like it’s going to open. And there’s a still huge remaining uncertainty about what does this imply? Through all of this there’s been a dichotomy between people in financial markets — including people in the futures market for oil who are presumably more professional, less vibes driven than a lot of investors — and what people who actually study the physical market for oil have to say. And right now futures prices are way up from where they were before the war, but they’re still under $100. Yet the oil industry people are basically hair on fire, saying, we’ve been meeting the loss of supply from the closure of the strait by drawing down inventories and the inventories are very close to critical critically low levels — there’s a certain amount you need to just sort of function — and there were a lot of warnings that really bad things would happen if the strait wasn’t reopened by June 1st. Well guess what here we are, it’s June 6th, D-Day, and the strait is not open. So is there a really severe oil crunch just a few weeks down the pike, or is it kind of manageable? So are we going to be hovering around current oil prices? I still find the physical oil argument quite persuasive, but I do wonder, again, it’s not like there are a lot of meme stock investors speculating in oil futures. That’s not a market that you would expect to be highly emotional. We know that there are insider traders who seem to know what Donald Trump is going to do a few minutes before he does it, who are in the market, but they’re probably not enough to be seriously, on a sustained basis, distorting the price. So I don’t know what’s happening on the oil scene except that it is a source of worry. Other objective economic facts: that jobs report also showed wage growth slowing, which it has been doing for a while, at the same time as inflation has been accelerating. Inflation was first pushed up by the tariffs, and now has been pushed up further by oil prices and prices of other goods, fertilizer, helium, that were transiting the Strait of Hormuz. That hit to prices is not all the way through the system. There’s a lot of effects, particularly from diesel prices and also fertilizer, that will show up over time in higher prices of goods that involve using these hydrocarbon-based resources to operate. So inflation is likely to stay elevated for a while. With wage growth slowing down, we are almost surely looking at least another couple of months of falling real wages, which is not a good thing. I’m a little skeptical of all the K-shaped economy stories — up at the top and down at the bottom. A lot of that is sort of going beyond what the data really say. But it is definitely true that people who earn their income are being hit by inflation and not being compensated with higher wages, while people who own lots of stocks have been doing much, much better. So that’s a real bifurcation. Of course, people who own lots of stocks are not feeling as good as they did a week ago. We’ve had a significant fall in the stock market and then a real tumble yesterday, more than 4% on the NASDAQ, somewhat less on the other indices, but still significant decline in stocks. The President of the United States went on a rage tweeting or whatever rage truth socialing spree sand said good jobs report should send stocks should go up not down. He somehow or other managed to find ways to contrast himself with Biden and make a lot of accusations against industry people who under-forecast this jobs number as suffering from Trump derangement syndrome. Actually, a quick point there about conspiracy theorizing. I know people who have to do these NFP, non-farm payroll projections, and they are, whatever their personal views, their job depends on being as correct as possible in the forecast. Every month, they’re evaluated. They have a story. They have a number. Their prediction will be wrong. But there’s always a question, were you better or worse than other forecasters? They do not have any space to indulge their political views. They will get it wrong. This happens all the time. The economy is a complicated thing. And even with the best will in the world even with the best information in the world, you are going to get it wrong. The idea that there’s a special negativity of economic forecasters towards Trump is ridiculous if you were awake during the last five years. Many of us still remember when Bloomberg put the odds of recession, this was in 2022, put the odds of recession over the next year at 100%. There was no recession. I don’t think I ever suggested that the professional forecasting of the economy was politicized. And I don’t think it was politicized either for or against Biden, and it isn’t politicized for or against Trump. There was a fundamental misconception, I think, behind those recession forecasts. But that is not a case of politicization. Anyway, there’s certainly no call for Trump to see himself as a victim. So what is happening? Trump professed to be baffled that a good jobs number should make stocks go down. But of course, it’s actually quite straightforward. What’s happening here is that with the combination of elevated inflation, now largely driven by the effects of Iran, and a job market that is holding up — that is not, in fact, falling off a cliff, if anything, appears to be accelerating — there is no case for cutting interest rates. A few months ago it seemed plausible that there would be some reduction in interest rates, that the Fed would have a rate cut or two this year. Now the chance of a rate cut, according to the market implied probability uh is around one percent. So there’s essentially no chance that rates will be cut and last I saw the market implied probability that rates will actually be increased is about 70 percent. Not big rate hikes but the Fed is probably going to find itself wanting to lean against potential inflation, against the possibility that inflation might get entrenched in the economy which is always their great concern. That’s not going to lead to drastic action but by any historical criteria there are is no case for cutting rates and there’s starting to be a reasonable case for increasing rates. Lots of stuff can happen but probably not soon so your expectation about what’s going to happen to the fed funds rate which is a very short term rate, actually literally overnight, has risen substantially that in turn leads to higher rates on longer term stuff which is what matters for economic activity. And that rise in interest rates hurts stocks. There’s always a couple of different ways to say this, but should you put your money in stocks or in bonds, well, if interest rates are higher, people are less inclined to put in stocks or what is really an equivalent thing, since the price of a stock depends upon expectations of profits in the future, if interest rates are higher those future profits are discounted more which means that the price of stocks should fall. And consistent with that story, the biggest falls in yesterday’s action were in stocks whose value depends much more on profits, hoped for profits sometime well into the future. So the NASDAQ fell 4%. The S&P, which is kind of a mixture of growth stocks and stocks that are driven more by current earnings fell less than that. The Dow, which is even more established companies who already have their profit flows fell less. So this was very clearly interest rates are going to go up because the economy is holding up while inflation is a little worrying and the Fed is not going to cut rates and may well raise rates so of course stocks are down. Nothing odd about that, nothing perverse. All that we learn is that the President of the United States doesn’t understand any of this and he just thinks that he should get interest rate cuts as a gold star for his incredible efforts. The interesting plot here is what does this do to Kevin Warsh, the new chairman of the Fed? Warsh was installed by Trump as somebody who Trump believes will do his will, that he will cut interest rates because Trump says we should cut interest rates and that he will find ways to justify it. And Warsh has been gesturing in that direction, calling upon the Fed to use different measures of inflation that look more benign than the standard measures. That’s an interesting debate, but it’s just so obviously motivated reasoning. It clearly says pick the inflation measures that show the lowest inflation so that we can make a better case for interest rate cuts, which is what Donald Trump wants. It’s clear that this is not a serious intellectual argument. But I think he has basically no chance of getting those rate cuts. Again, the Fed is not a dictatorship, it’s not even like a corporation where the CEO gets to make big decisions on his own. The Fed’s interest rate policy is set by a committee — the federal open market committee — which is a mixture of long-serving members of the federal reserve board and presidents of regional feds. Basically it’s not answerable to Donald trump it’s answerable in the long run to elected politicians, but that’s quite a long-run thing. And outside of Trump’s creatures, there is zero support for interest rate cuts on the Fed board now, as there should be none. The logic of an economy where employment still seems to be plugging along and inflation is high is not one in which there’s any rational argument for cutting interest rates. So what does Warsh do? Does he act like a professional central banker, in which case he will incur enormous rage from the White House, or does he advocate for stuff that he knows, he’s not stupid, and that everybody else, that all of his colleagues know is really, really bad policy, and then just keep losing votes at the FOMC, thereby becoming the least respected, least influential Fed chairman in history. and I don’t know which way that goes but pass the popcorn. I hope that I’ve been clear in the past in warning people against expecting instant gratification in people who are opposed to Trump in expecting instant gratification I’ve been I’ve made that mistake myself as well but if you want the fact that Trump is doing terrible things, which he is, to cause a severe recession now or a month from now or six months from now, well, unfortunately economics is not a morality play. The wages of bad behavior take much much longer and are much more diffuse. There’s all kinds of things happening out there so the idea that you could expect catastrophe just because you have catastrophically bad leadership is true in warfare as we’re seeing in Iran, it’s true maybe at the level of corporate competition. But something like the US economy is a lot less sensitive especially in the short run to the quality of leadership at the top of the United States because the US government influences the economy but doesn’t run it so this is not going to be the kind of spectacular flame out that many people would like for political reasons to see. So on we go. For what it’s worth, I don’t see anything that’s happening now that will turn around the public’s extremely negative view of the economy. Most people don’t care what the job number is, as they shouldn’t. It’s not something that affects their lives directly. The perceived state of things is that although we don’t have high unemployment, jobs are hard to find and prices are rising and they’re rising faster than wages. That’s not an ideological point, that’s just a fact. So people are going to stay negative and I guess have some sense that we have crazy erratic leadership. And loud proclamations that this is the hottest economy ever and it’s great and it’s wonderful are almost truly counterproductive politically. This is a time when Trump could really take some lessons from Bill Clinton and say that he feels our pain, which would be a lie. He doesn’t, but he can’t even pretend that he does. And so this is going to continue to be a very negative economic situation. The one thing that I think Trump thought he had was the stock market, which is again not that relevant to many people but statistically appears to have some impact on consumer sentiment so naturally he’s enraged that stocks went down after yesterday’s pretty good jobs report. So I do think that we’re looking at a situation where it’s hard to explain why people are quite as negative on the economy as they are, except that it they have a kind of cumulative feeling that the system is rigged and that the people in charge are not on their side, which at this point is very much true. So this is very unlikely to turn around, certainly very unlikely since everything is political, very unlikely to turn around before the midterm elections. I think that was a happy note. Anyway, take care and I’ll be back to my regular format of interviews and everything else in a few days. Bye. Get full access to Paul Krugman at paulkrugman.substack.com/subscribe [https://paulkrugman.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

6. Juni 202625 min
Episode Learning from a Mentally Ill President Cover

Learning from a Mentally Ill President

Transcript The President of the United States is mentally ill, but everybody knows that. So while we should continue to focus on this degeneration taking place in front of our eyes, we should also, beyond that, ask what we can do about the powers, the interests, the system that put this horrifying person in a position of power. Hi I’m Paul Krugman. First video update in a while. It’s May 31st. If you have been following some of the news you may know that Trump’s mental deterioration, which has been obvious for quite a while, got even more extreme in the past few days. Tellingly, the things that are really driving him into more obvious dysfunction are things that are blows to his ego. I was especially struck — I was rattled actually — by his reaction to the wave of artists canceling out on the self-glorifying concert series he’s holding on the mall. So, if you haven’t seen it, here’s what he said on Truth Social: That artists are “getting the yips” and I am thinking about bringing the number one attraction anywhere in the world the man who gets much larger audiences than Elvis in his prime, and he does so without a guitar, the man who loves our country more than anyone else, and the man who some say is the greatest president in history, Donald J. Trump. Oh my god. I would not want to trust this guy alone in a room, let alone running the world’s formerly greatest power, although he’s doing a lot to run that into the ground. Okay, but we knew that, right? It’s not really a surprise to find out that he has lost his mind, what was left of it. And yet, he is in power. People who did a lot to put him in power did so, knowing this — the billionaires who contributed vast sums of money to his campaign, the Supreme Court which gave him immunity back in 2024 — they all knew who they were doing this for. They understood what they were doing. Now, maybe, even they are getting a bit of cold feet as as he goes over the edge and as we’re starting to see in Iran and elsewhere what happens when you have a lunatic running the United States, a lunatic who has far more power than a previous president because all of the normal institutional safeguards have been short-circuited or dismantled. Still, they are continuing to support him, and they are continuing to do so not just in concrete ways, but verbally, which matters. They continue to cover for him. Just the other day, Jeff Bezos — who is not an idiot; he has to know what he’s looking at — but he said, oh, Trump is much more mature than he was in his first term, which is obviously a complete lie. That is not what Jeff Bezos thinks. And it’s telling you that he is still providing cover. The Supreme Court, although it’s been knocking back a few things, is for the most part continuing to give Trump treatment that it would never have accorded, not just to any Democratic president, but to any previous Republican president. Okay, this is not coming out of thin air. These people — I’m not talking about Trump but people who are empowering him — are not stupid. Some of them are weak but they are also acting because they think there’s something in it for them. All of this at some level is about money and power for people beyond Trump. And it’s made possible by the fact that there is so much money in the hands of a few people, many of whom turn out, not too surprisingly, to be terrible, insensitive, anti-democratic people themselves. Obviously, we need to defang Trump as much as possible and make sure that neither he nor anybody who follows in his footsteps has power after the next two elections. But beyond that, we really need to do a thorough purging of the United States. We need a deMAGAfication. And I’m not going over the top by using a word that’s very similar to the denazification that we pursued successfully after World War II in Germany. And it’s not just the MAGA ideology, but the whole structure of hugely unequal power, hugely unequal wealth that made this horrific moment possible. It’s not going to be easy, and maybe it’s not going to be doable, but we have to try because this is a nightmare. This is a nightmare beyond, I think, even the worst fantasies of progressives, beyond the worst fantasies of conservatives who still have a conscience. (There still are plenty of those, but they’re no longer MAGA.) This has to be turned around and we should not, above all, whitewash or forget this moment. This is where a lot of forces in America have been leading and if we don’t do something beyond just getting rid of Trump, it’s going to happen again. Have a good rest of your weekend. Get full access to Paul Krugman at paulkrugman.substack.com/subscribe [https://paulkrugman.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

31. Mai 20266 min
Episode How to Win a Trade War Cover

How to Win a Trade War

Chad Bown and Soumaya Keynes have a terrific new book with that title — a breezy survey of our chaotic new world of international economics, couched as advice for nations trying to get the upper hand. The book is here [https://www.amazon.com/How-Win-Trade-War-Optimistic/dp/1668221314]. I spoke with them last week about their book and the world in general. Fun stuff in a slightly grim way, and I hope we kept the acronym level tolerable. Transcript provided by the Financial Times, lightly edited to remove the ums and ahs. u TRANSCRIPT Paul K: Hi everybody. I’m Paul Krugman, professor at the City University of New York, and an independent newsletter writer on Substack. You might have noticed that I’m not Soumaya Keynes, host of The Economics Show podcast. I’m here with Soumaya, as well as her longtime collaborator, Chad Bown, who is a senior fellow at the Peterson Institute for International Economics, formerly chief economist at the US State Department. Together, these two have just written a book called ‘How to Win a Trade War’, and today we’re going to be asking just that. How do you win a trade war? Soumaya, Chad, hi. Chad Bown: Hi, Paul! Soumaya: Hi! Paul K: So maybe I can start by asking a slightly funny question, which is, who are you? I know you’re Chad and Soumaya, but when we talk about how to win a trade war, who is this? You know, who’s the audience? Presumably not actually Donald Trump. It’s probably not Xi Jinping. I mean, everybody should read it, but who do you think might, in some sense, read it or at least be briefed on people who’ve read it? Soumaya: Well look, if Donald Trump wants to read the book, then we are very willing to sign a copy. We’ll hand deliver it however he wants. The conceit of the book is that you, the reader, are really interested in fighting a trade war, right? And we are the two nerdy kind of reluctant guides saying, “Uh, if you really want to do it, then, you know, we’ll give you the evidence that you need. We’ll tell you everything there is to know,” You know, it’s not easy to fight and win a trade war. Um, and so, you know, at least arm yourself with the evidence of what’s happened in the past, what works, what doesn’t work. We kind of acknowledge that most readers may come to this not actually wanting to fight a trade war, right? Um, so the point is it’s for... You know, it’s to help people understand, how to navigate this world of economic conflict as I feel like, you know, many people have become unwilling participants in these massive, massive geopolitical conflicts. It can be a bit bewildering. So the book is really supposed to be for everyone, right? To understand how we got here and where we go next. Paul K: Okay. Because yeah, I found myself thinking that it was easier somehow to follow the line of argument is to think of myself yeah, still a little bit of delusions of grandeur, but imagine myself to be Mark Carney, Prime Minister of Canada, or to imagine myself as Ursula von der Leyen, uh, uh, making policy for the EU. But basically, you’ve got these two powers. We’ve got the United States, which is basically Donald Trump, and we’ve got China, which is a little bit more of an institutional thing. But they are certainly waging something that they consider trade wars. Let’s talk a little bit about, how did we get here? How did we get to this point? I think, if we were holding this conversation around ten years ago, it mostly would have been, “Well, we’re economists. We understand free trade is great.” Uh, maybe fifteen years ago, even more so. And, so you know, the answer is just, “Don’t do this, free trade.” So I think all three of us probably have had some visions on the road to Damascus about why that isn’t an adequate approach. Anybody want to start off on that? Chad Bown: Maybe I’ll take a stab first. Um, so I guess to answer the question, we have to talk about what trade war we could or should be fighting because there are, I think, arguably multiple trade wars happening right now. You’ve got President Trump doing a lot of things. Um, but beneath, behind that, there’s another really big trade war that’s happening, and that’s the one having to do with China. So let me start there. Um, I would say, and it’s not as if I noticed this at the time, but say in 2015, when China rolled out its Made in China 2025 strategy, industrial policy that said, you know, we’re gonna have these market share targets to dominate certain important sectors of the future, that was kind of a sign that China was thinking about things differently than I think other, other, traditional, the United States and others had been. And then you fast-forward a couple of years with, Xi Jinping and his “dual circulation” strategy more clearly articulating the idea that China did not want to be interdependent with the rest of the world. It wanted the rest of the world to be dependent on China for their supply chain, so the United States to be dependent on China for sourcing stuff, but China to not have dependencies on the rest of the world. When you start to think about a functioning trading system, as we’ve lived in for the post-war period since the, the late 1940s, it requires rules, all those things, but it also fundamentally requires a willingness to be interdependent, right? And to trust that I’m gonna export to you, you’re gonna import to me, and, and yeah, there’ll be sometimes some frictions, but by and large, that will be okay. And China was saying, “No, we wanna have an asymmetric relationship, we wanna do what we wanna do, but we’re not all that interested in what you wanna do.” So for me, it was kind of seeing those things that really made me think that, ah, the world has changed. We’re in some sort of trade war, and really China is the part that’s driving this. Soumaya: So my journey, I think, um, you know, there was an important moment for me in the first Trump administration, right? And so, you know, Trump, ran onto the scene, during his first term and started throwing tariffs at China predominantly. And you know, Chad and I had this podcast about trade, and we were the loudest voices saying, you know, “What are you doing? You gotta play by the rules, why not try to use the rule book to solve these underlying structural problems that we have with China?” Um, and you know, I was covering trade full-time at that time, and, you know, something that was happening behind the scenes, um, was that there were efforts to try and get some kind of coordinated plan to save the rules-based system, to try and solve some of the structural problems between China and the US by writing new rules. So you had these trilateral discussions between the US, Japan, and the EU, and the idea was, okay, well why don’t we just write out the way in which we want China to behave, limits on subsidies, um, you know, new, new ways of protecting ourself against China’s subsidies. And the idea was, you know, they would agree on that common plan, then they might go to China and say, “Hey, look, we’ve got some new rules. You sign up to these, and look, President Trump will drop his tariffs.” That was the hope of some involved in that process. It certainly wasn’t Donald Trump’s plan. And I think, you know, a very fundamental way in which I have moved on from that is I just don’t believe that the solution to these problems lies in a new set of common rules that everyone is going to sign up to, right? In fact, the Trump administration did go to the Chinese government with a list of requirements or requests in terms of, you know, China’s subsidy behavior, and the Chinese, you know, shredded it, right? They weren’t gonna change their system. and that’s really the backdrop to where we are today, which is, you know, the Trump administration, I think, pretty much most everyone else, has given up on the idea that the rules are gonna save us. And that is kind of scary. It’s a bit, you know... It means that we can’t rely on the rule book to predict what’s going to happen next. It’s a much more chaotic power-based world, and we’re kind of feeling our way through. Paul K: Yeah. Yeah, for what it’s worth, I, I’ve had sort of two moments of revelation about trade. One of them, which seemed terribly relevant but maybe a little less so now, was the work early 2010s on the China shock, where we started to realize that, hey, you know, the problems of adjustment and dislocation that come from rapid globalization are a lot bigger than… you know, economists have always understood that there were distributional issues, but they’re a lot bigger. And that, that was, that was revelatory and a bit of a shock. Um, but I think it’s actually not the core of the story now. And, and for me, the, the revelation was, um... It’s a little odd, but I’m gonna give you this, uh, really offbeat point at which I realized that we’re not getting this back, which was actually when Russia invaded Ukraine, when we realized, hey, this rules-based order, not just about trade, but everything. We, sort of had taken it for granted that, all of the old stuff, all of the old demons had been banished. That we weren’t gonna have outright war in Europe. We weren’t gonna have countries just plain exploiting their power over trade for geopolitical gain. And, we now realize, I think I realized that, hey, all of that, all the things that we thought were fundamentals about the twenty-first century economy were actually basically dependent upon a benevolent hegemon. Not totally benevolent, not totally hegemonic, but still a lot of it depended upon basically the United States, which enforced the rules and obeyed its own rules for the most part. And, well, we’re not in that world anymore, not in Kansas anymore, among other places. So it’s-- now it’s a much tougher world out there Soumaya: Can I just add that I think economists have been on a sort of journey as well, right? Um, you know, and, and, and, you know, starting point, the starting point being, you know, your, your theory, right? We thought that one of the benefits of trade was, you know, agglomeration, right? You know, huge efficiencies, huge economies of scale, that, you know, created these gains from trade and what we’ve seen now, I think, is that those agglomeration benefits are real, but in a world where we’re not friends with everyone and we don’t trust everything, they come with risk. Where do you feel like economics has, has, has gone? Paul K: Well yeah. I mean, it’s interesting. In some ways, the models were already there, and we understood that there are big advantages to agglomeration, although I think they’ve turned out to be bigger than we realized. And they, they really do... You know, I’ve been on my own little journey here about Europe versus the United States, and an astonishing amount is driven by, loosely speaking, the fact that Silicon Valley is on the US side of the Atlantic, right? It’s just that there are some agglomerations that color all of the numbers. But in a world of open markets, agglomeration rules. Texas doesn’t obsess about the fact that California controls a lot of the IT sector. Why should Europe obsess about the fact that the United States controls a lot of it? But that was not the world that we’re living in now, where these things become very real. So the whole, Everything changes once you stop assuming that it doesn’t fundamtelly matter where stuff is produced. We’re talking a lot about high tech, but, if we talk about Chinese manufacturing ... It’s not just that China is good at a lot of stuff. China has a whole industrial ecosystem that gives them tremendous amounts of leverage in the world. I mean, China isn’t the only place that has rare earth deposits, but it’s the only place that has the industrial ecosystem that can process them at this point. And so that altogether, that creates a world where Section 232 and I think Article XXI of the GATT on national security -- I’m always testing my acronyms and numbers, uh, knowledge. But anyway, I thought if you’d asked me fifteen years ago, I would have said, “Well, all this national security stuff, that’s just an excuse. National security is the last refuge of the scoundrel.” But actually not now. Soumaya: Yep Paul K: So okay. Any other sort of revelations beyond the fact that, that it, it’s a scary world with nasty people in it? Soumaya: So I have one which is, you know, you mentioned the, the China shock literature, right? Paul K: Yeah Soumaya: So this is this collection of papers showing the effects of, of, of imports from China. Paul K: Right Soumaya: And one paper that I thought was super interesting that came up as we were researching this book was, um, was about what happened in Canada, right? When, when there was liberalization as part of, um, Paul K: Oh Yeah, Soumaya: Was it NAFTA or was it Chad Bown: CUSFTA. Soumaya: CUSFTA? Soumaya: Yeah, so the predecessor, to, to NAFTA. Um, and actually, you know, this, this research found that, that the effects when, were really quite dissimilar from those China shock effects. People were able to adjust. There were export opportunities created by that trade deal. People moved into those, those other industries. There’s also research looking at, um, you know, uh, liberalization and populism in, in Europe, right? And there seems to be this relationship between places that have stronger social safety nets, um, and the switch to right-wing parties. Um, and so, you know, I think one, one point that, that I would want to make is, you know, it’s important not to go to over-interpret what’s going on now and to kind of see it as this idea that, you know, all trade liberalization, you know, has losers and, and there’s just nothing we can do to, to address those, right? There are cases where actually import liberalization, you know, we, we could cope okay with it, and economies adjusted and social safety nets worked. So I think it’s, you know, it’s important not to kind of over-correct after some of those instances where there was, you know, real pain in the past. Paul K: I’m trying to remember how much in the book you really talk about the political economy of these-- the protectionist backlash. ‘Cause that is actually-- not as, you know, there was a simple story, “Oh, trade produces lots of losers, and now the public won’t have it.” And that’s not actually the story as far as I can make out. what did you say? I’m trying to remember the actual way you put it. Soumaya: Chad do you remember, or shall I? Chad Bown: No. Yeah. I mean, I-- Well, I mean, the, the story is that it’s complicated,right? Paul K: Yeah Chad Bown: And voters don’t, you know, kind of respond as cleanly as, you know, one might expect to what the economic implications are for them, right? And so one of the more recent China shock papers, in fact, has looked at the longer run impacts of the China shock and the reapplication of the tariffs in the first Trump administration, and has found that they didn’t really do the job of, you know, helping workers in those regions, right? Didn’t improve employment or anything like that. But it did help President Trump’s party, in subsequent elections, right? So there is maybe something to the idea that, well, okay, he may not be helping me, uh, you know, get a better job or, or my employment process, at least he’s fighting on my behalf, right? And so what that means is it’s really messy to draw these links between all of this stuff in the political economy context. Paul K: Okay, I didn’t know that. I somehow missed that. I know you did mention it, but it’s not so much if you look at kind of the vector of, of real wage changes or whatever, of employment changes, that that’s not, not really the story. It’s more about attitudes, sense of whether you’re led by somebody who’s standing up to foreigners. I think in the end, the protectionism in the U.S. and I think in Europe is not really a, a mass public groundswell. There are parties who exploit it, but it’s not really this sort of simple deterministic, you know, losers fight back, and this is why we have a problem. A lot of it more has to do with, again, the, the complexities of the political process. Soumaya: Yeah, and so you can see this in, in, you know, both what’s going on in the US and, and also the EU. So if you think about what Trump did, right, he, he had to do this by using and arguably abusing, um, you know, arcane bits of US law, uh, because he didn’t have the support of Congress to, to apply these tariffs, right? And so he kind of ran roughshod over the, the democratic process there. Um, uh, you know, in obviously in the case of IEEPA, that turned out to be overturned by the Supreme Court. and, you know, during the first Trump administration, companies were complaining quite a lot. I think during the second, those complaints were a little quieter. That’s probably some combination of, you know, worrying about retribution, but also maybe in some cases they adapted, right? And so I think one lesson of that episode could be that you may not have the constituents for protection at the beginning, um, but you could, you could develop those constituents if that protection is there for long enough. And then the contrast is with, is with what’s going on in Europe right now, right? There’s a huge discussion about whether the EU should essentially do more of what the US is doing and protect itself. And it’s just extraordinarily difficult, even though you’ve got these really acute problems, right? German exporters being, you know, crushed in, in, in third markets. You know, the car industry really struggling to cope with that Chinese competition. and even then, right, even in the face of these really extreme Chinese export trends, even then it’s really, really difficult to get a consensus, right? And so, it’s a question of, you know, can Europe ever act as decisively as the Trump administration? Maybe there’s a middle ground between kind of hopeless inaction and kind of maybe overaction? But yeah, that just speaks to that issue. Paul K: Okay, we could go on. I actually just say quickly, the importance of institutional details, including the details of legislation that people wrote ago, uh, that were not intended for the purposes to which it’s being applied. It’s, it’s amazing. I mean, the fact that, that, uh, that Section 121 is written the way it, it is, and that IEEPA is written the way it is, suddenly turned out to be you know, the fate of the world is hinging on more or less accidental wording of decades-old legislation. It’s kind of amazing. Soumaya: I was outraged when I, an economist, was the economics correspondent of The Economist magazine, started covering trade. I thought this was gonna be all about, you know, big intellectual battles of which model worked best, and actually, I essentially became a lawyer, um, working out, you know, what, what does the Section 301 statute mean? What’s 232? How is this compatible with the World Trade Organization rules? You know, it’s, it, you, you get stuck in the legalese quite quickly, but as you say, these, these details really, really matter. Apologies for all of the lawyers. I’m not actually a lawyer. Paul K: I knew somebody who taught a trade policy course long ago, but she would return term papers with, uh, just right at the top, a Y-H-T-M-A-A-I-Y-P, which was, “You have too many acronyms and abbreviations in your paper.” anyway, So, you know, so if we’re talking about Europe responding, taking the extreme constraints on European action, you know, how would you go to the Berlaymont in Brussels, and, and you’re gonna tell the European Commission, “Here’s, here’s what you should do in response to,” I think you said that America is a pirate and China is a warship, but anyway, they have these two quite different but also, but very seriously threatening, aggressive trade policy partners. Two of the world’s three economic superpowers are not behaving the way they used to, and the most obvious case is, okay, you’re the, you’re sort of running the third power. What, what should you be doing? Chad Bown: Well, um, engaging, right? And I think, uh, you know, as Soumaya indicated, Europe has been a little bit slow, uh, to engage in the, you know, are we willing to, “can we fight a trade war?” question. But they do seem to be there now. One of the really interesting lines for Europe at the moment is this issue of electric vehicles and the automotive sector. Um, and what’s fascinating is, is, is the following: they’re essentially trying to see if they can learn from the Chinese model to encourage Chinese firms to build cars in Europe, right? So what was the Chinese model? The Chinese model was forced technology transfer. What made them successful at the time, or partly what made them successful was, you know, back in the early 2000s, there were a lot of Western automakers the United States, Japan, Korea, Europe, that all wanted access to China’s 1.4 billion potential drivers, right? And China had high tariffs at the time, so exporting into China was really hard. China said, “We want you to build those cars here, and not only do we want you to build those cars here, but we want you to form joint ventures with local Chinese firms, and then teach them effectively, uh, how to make cars themselves,” right? And partly, and they were successful. And part of the reason why they were successful, you know, we think, is there were lots and lots of these Western automakers competing against each other, all seeking to get access to that Chinese market. So you fast-forward today, and you say, well, okay, can Europe do the same thing, um, with respect to the Chinese technological leaders today in, in battery electric vehicles? And while there may be, you know, at the moment, lots and lots and lots of EV manufacturers in China, um, BYD is the dominant one. Um, and behind that is the battery makers, which are BYD and CATL, right? And to, to sort of thwart that possibility, right, the idea that, well, maybe Europe could exploit, you know, divisions amongst Chinese firms and negotiate to get them to come into Europe, partner with German automakers, teach them how to make battery electric vehicles better, locate production here, create lots of jobs, the Chinese government has already set up a system of licensing for its technology and saying, “No, BYD, CATL, you know, these companies, you’re not allowed to just go out and negotiate with the Europeans. We’re gonna be the one. The Chinese government is gonna be the one controlling access to that technology from foreigners, right?” So on one hand, you have the Europeans maybe seeking to learn from the Chinese model, and the other hand, you know, the, the Chinese already going a step beyond and saying, “Yeah, we’re not gonna let you learn from our model and, and get those jobs there in, in Europe. Here’s how we’re gonna thwart those kinds of things.” Paul K: Wow. And that’s really instructive because, you know, all of us spent years learning about why government intervention in trade is almost always a bad thing and how, um, uh, letting people buy wherever they want and not, not, certainly not blocking possible profitable opportunities is, is clearly going to hurt your country. And now we’re sort of saying, “Oh, you know, this dirigiste, overall control.” And in this case, it’s not just geopolitical. It’s, well, you know, China can preserve effectively its technology advantage, even though it’s not fancy technology. And because, because they can close off the technology transfer. So but you’re, you’re saying that basically, as I understand, that at least the EU, presumably Mark Carney’s middle powers need to be at least a little bit more like the Chinese. Chad Bown: I think that’s right. I mean, I think, you know, one of the lessons that we took away from the book is we all need to learn a lot from each other, from the other players. But especially, you know, I think in the Western system we need to learn from China. That does not mean we need to adopt the Chinese model, right? And so please don’t get me wrong But there are elements of what China does when it does industrial policy, when it does, in that earlier example, the transfer of technology, that if you wanna have those similar kind of outcomes be successful, you really do need to see what it was about the Chinese system that allowed them to be successful in those instances. You may not be able to replicate it, right? So you need to, you need to learn those kinds of lessons as well. But yes, learn important lessons from China. Paul K: So, I mean, EVs in Europe, I mean, the United States has decided that we’re going to have coal-burning cars or something. But, um, EVs in Europe, there is a question, should they even be trying? Shouldn’t they, say “Okay, if the Chinese are gonna sell you cheap vehicles, why not just drive cheap electric vehicles and, uh, work on your European, uh, comparative advantage, whatever that may be?” Soumaya: I mean, this is actually a, a debate in the US, right? You’ve got some saying, you know, “Why won’t you let me buy a cheap EV? These, these things are… Paul K: Right Soumaya: …karaoke bars on wheels. I want a, I want a piece of that equipment.” Um, and you know, the arguments against are in-- you know, include one, this is actually an area where Chad and I had quite heated debate as we were writing the book, as Chad was much more in favor of banning things than, than I was. Um, and you know, that relates to some of the security risks around, you know, having Chinese software run some of these vehicles, the risks of surveillance, even being able to turn off the car remotely. Um, Chad was more gung ho about banning vehicles because of that concern than, than I was. I wanted, you know… Surely it’s possible to come up with some kind of technical test, um, because, if we start banning cars on that basis, then, you know, what about smartphones, right? Last time I checked, there was quite a lot of electronic equipment that was made in China that could, in theory, carry the same risks. So are we, are we really gonna be inconsistent? So there’s the security piece of that. There’s also just the political economy piece of that, right? Which is that, you know, the, the car industry is massively important in Europe. The political consequences of letting all of those smaller companies just shut down would be potentially devastating. And then third, there’s a kind of bigger argument about industrial capacity. When we don’t trust each other, is it really wise to be cutting manufacturing, or accepting the loss of manufacturing? Could there be some connection to innovation? The evidence on this isn’t as concrete as we’d like. But you know, is there something? Do the folks who worry about manufacturing having some kind of national security advantage, do they have a point, right? In some kind of heated conflict, do you actually need the capacity to scale up quickly? So actually having that industrial might is important. Now, that doesn’t mean manufacturing jobs, but you know, I’m talking about overall manufacturing. Paul K: You wrote the book obviously before the Iran war, and, but you do talk about supply chains and the threat of cutoffs, and that now seems immensely more real. I mean, how much does that change the way we think about, about trade wars? Chad Bown: So I think, Iran and, and Strait of Hormuz, right? Obviously, from Iran’s perspective, the war, the physical war, the military aspects of it have to be absolutely devastating. But at the same time, they have been able to weaponize through their export restrictions, you know, imposed on not allowing things through the Strait of Hormuz, in a way that is, you know, orders of magnitude bigger than the size of their economy would otherwise suggest, right? And so that’s part of the new world in which we live. Sometimes you have those kinds of supply chain disruptions, um, that can come up, um, by, you know, not recognizing just how serious those choke points are. I think there were a lot of folks that probably did recognize how serious those potential choke points were. But as we have seen, through what’s happened since February, the world is now, you know, facing the consequences of, of those actions. Soumaya: So just building on that, I think what we’ve seen so far with the Strait of Hormuz is that some of those disruptions haven’t hit yet, and that’s because companies have been doing, you know, one of the policies we, we discuss in the book, which is stockpiling, right? So we’ve had inventories, and they’ve been running them down. When the crisis first started, uh, you know, folks were asking how bad could this get? And the response was, “Well, as long as it doesn’t last for very long, it’ll be okay,” right? Because there are those buffers. And so, you know, the crisis, I think, highlights the importance of having those buffers, but also I think that, you know, there is a point about substitution. So, so, um, if you think about the drop in oil flowing out of the, the Strait of Hormuz, a third of that has been made up with oil flowing out through other ports, right? And so one of, one of the lessons here is that, you know, when thinking about your vulnerabilities, actually there’s always some slack in the system. There are always some, some opportunities for substitution. They may not be, you know, fast, it may not be easy, but actually one of the lessons from history in extreme situations is that we tend to be a bit more adaptable than we sometimes fear. That said, obviously if this disruption goes on, there’s pain being felt, right? We shouldn’t then swing too far in the other direction and say, “Oh, well, there’s no point in applying export controls because we can always adapt away.” That’s not true. As we are seeing now in, in, you know, some of the, the poorer countries who are on the front end of this, and as we will be seeing later these weapons are pretty, are pretty impactful and pretty dangerous. Paul K: What struck me though, I mean, the Strait of Hormuz is a, it’s a, it’s a physical choke point, which is helpful for illustrating the concept, but it turns out there are all of these de facto choke points like rare earths, like, well, semiconductors. I mean, it’s not that so much stuff passes through the Strait of Taiwan, it’s the fact that basically everything runs on chips made in this island. So yeah. And you do talk about this. I mean, right there, there is definitely a case for policies that even at some cost make sure that critical stuff is made in some quantity in places that are, are less subject to this kind of disruption. Gosh, for many years I was co-author of the bestselling international economics textbook. I don’t think we mentioned supply chains, export controls, any of that. I probably haven’t yet. I’d probably have to get that in the next edition. But anyway, Soumaya: No don’t worry, you don’t have to. You can just assign our book as the top-up, and then it’ll be fine. Paul K: That’s right No, definitely. Y-H-S-T-M-A-A-I-Y-P. No, you’re actually very good. I’m not doing the acronyms and, and, and the numbers, but it is something. Actually, I’ll give a quick quiz. Uh, do you know the answer? You probably do, but the, um, you know, all these numbered trade things, what act are they numbers from? Soumaya: 74? 1974? Paul K: Well, the answer is they’re from several different acts. Soumaya: Ok well that was a trick question! Paul K: So it’s really horrible that we, we’ve got a 122 and a 232 and, and they’re not from the same law, so it’s totally obscure. But anyway. Soumaya: Should we wrap up here? Paul K: Let me just ask last question, then I’ll let you go. Do you have a view-- how does this pan out? You’ve given some, some good advice to people who are not Donald Trump, effectively. I mean, maybe Trump would benefit from, but he’s not going to read it. And probably not Xi Jinping, but how do you think this shakes out? It’s, you know, it’s possible that, that Mark Carney and his middle powers or Ursula von der Leyen and the EU leadership will in fact think about these issues and, and quite possibly read your book, as they should. Um, what does the world look like in five years? Soumaya: Okay. well look, I’m gonna be real. Um, I don’t think there’s gonna be some grand bargain, um, in the next five years, right? Which goes back to my point earlier about the rules aren’t gonna save us. And that underpinned the stability that we had for so long, right? That’s really the only outcome that would reduce the chaos, right? And so without that, we’re kind of in this messy world where everyone is gonna be following this rule book that we’ve laid out. Everyone’s gonna be trying to stockpile, to subsidize, to, to look to see what everyone else is doing, to see what lessons they can learn. that’s gonna be, you know, pretty chaotic, I think, the chances are that there’s gonna be misinterpretation of, of what’s happening. So just, you know, take an example, stockpiling is one of the main tools that, that countries are now deploying to try to protect themselves against, you know, weaponized shortages. but you know, there was a hearing too long ago where, where one of the US committee was quizzing experts on, on whether stockpiling was a sign that a country was about to attack, right? You’ve got China building up massive stockpiles. What if that breeds suspicion, um, that there’s some kind of military preparation? And what if Western stockpiling breeds that suspicion on the other side, right? So you have this real risk of these awful self-fulfilling dynamics. so, you know, do all the nice things, right? Communicate, try to coordinate with your friends, engage, be as transparent as you can, um, put in the effort, spend the money, subsidize, stockpile, do all of the things that are hard. but you know, you’re gonna have to put in, put in the effort and be consistent about it, because the dynamics are such that in a trade war, your adversary is gonna be taking advantage of any moment of weakness to, to try to strengthen their position. Chad Bown: And I would say for me,, the only things I would add to that is, you know, to build upon the, please work with your partners and allies, right? It doesn’t make a whole lot of sense to be fighting with them distracting them away from the really hard task at hand of fighting the real trade war that needs to be fought, which is dealing with these challenges with China. And, every ounce of time that Europe or Canada or Japan or Korea has to deal with American tariffs, demands for, you know, invest here in my energy sector or something like that, instead of focusing on how do we most quickly, at lowest cost possible to deal with the affordability concerns, diversify some of these supply chains away from China while China is actively trying to prevent us from diversifying those supply chains away from us. We need to do that kind of thing together. So focus on the trade wars that need to be fought, and let’s put the other trade wars to the side. Paul K: Okay. That’s actually interesting because we’re basically saying that the, if not full on conflict, that trade war with China is basically gonna happen, at least a cold trade war. And that if only the United States would stop doing what it’s doing, that we could actually form an effective or might be able to form an effective precautionary bloc against it, which is optimistic. I guess that means, particularly if we get some better management back on the home front, we might actually be able to resolve this not too badly. That’s, that’s what passes for wild optimism in the year 2026. We’re all optimists now. This is, this great, sunny, uplands await Paul K: All right. Well, Soumaya, Chad, thanks so much, thanks for the book, which is tremendously enlightening, and thanks for the not totally dire analysis at the end. Let’s, let’s, uh, hope for the best, and the best way to make it work is for everybody to read the book Chad Bown: Thanks, Paul Soumaya: Great advice. Get full access to Paul Krugman at paulkrugman.substack.com/subscribe [https://paulkrugman.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]

30. Mai 202637 min