In short
The episode argues that “bubbles” aren’t just irrational mania; they follow repeatable patterns and can be net-positive, including for transformative technologies like AI. It also uses the 2008 housing bubble to challenge the “greedy bankers” narrative, emphasizing government housing policies and incentives.
Guest background
The guest is a finance/economics professional and venture capitalist. He grew up in Toronto (born in Kenya), studied economics at Stanford, worked at Lehman Brothers in financial engineering/bond and derivatives trading, then earned a Harvard Law degree. He joined PayPal in 2001 (after meeting Peter Thiel at Stanford), later ran PayPal finance, and has been a tech CFO/operator for ~20 years. He co-founded a Silicon Valley venture capital firm ~6 years ago with a Thiel/Forbes Midas-linked partner.
Key claims
Bubbles are defined by large, time-bound price run-ups and run-downs (e.g., 5x+ in ~2 years). Major bubbles tend to occur in the richest country/city, among relatively homogeneous wealth groups, and under “easy money” (low rates, money supply growth, or financial loosening). Some bubbles create lasting technology (railways, dot-com), while land/asset bubbles destroy value. For 2008, he claims U.S./U.K./Ireland/Spain housing quotas via Fannie Mae/Freddie Mac drove risky lending; Canada/Germany built/subsidized housing instead.
Notable examples
Amsterdam derivatives/margin (1630s), Dutch tulips, UK railway mania (1845), Japan land bubble (1984), dot-com boom (1998–2000) with companies like NVIDIA/Amazon/Google/PayPal, GameStop as a smaller “meme” case, and the 2008 crisis (Fannie/Freddie quota expansion; teaser/negative-amortization loans; default rates rising sharply in 2007).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOExploring Financial Bubbles
1:24 to 4:25
Discussion on the history of financial bubbles and the author's research.
“If you'd asked me when I was like 15, 16, what do you want to be when you grow up?”
Defining a Bubble
4:25 to 5:59
Defining what constitutes a bubble and its characteristics.
“So from there, let's just start at the definition of a bubble.”
Factors Leading to Bubbles
5:59 to 11:32
Analyzing the common factors that contribute to the formation of bubbles.
“It's sort of like a self-conscious bubble on purpose at some level, and therefore maybe not a real bubble.”
Types of Bubbles and Their Impact
11:32 to 14:01
Differentiating between harmful and harmless bubbles and their societal effects.
“So it's like homogenous with respect to your subcultural experiences, worldview, kind of the sort of type of person you are, in a particular cultural context.”
Understanding Economic Bubbles
14:01 to 16:54
Explore the nature of economic bubbles and their potential benefits.
“But you would have come away with your portfolio would have included companies founded during the boom.”
AI and Market Disruption
16:55 to 19:26
Discuss the impact of AI on market dynamics and competition.
“Famous Austrian economist who basically talks about these new technologies and whether it's railroads, whether it's agricultural productivity, a lot of jobs will get destroyed.”
The Role of Google and AI Development
19:27 to 21:46
Analyze Google's delay in AI development and its implications.
“They had this technology back in 2018, 19, 2020.”
Reflections on the 2008 Financial Crisis
21:47 to 25:00
Examine the causes and consequences of the 2008 financial crisis.
“I want to talk about the 2008 financial crisis.”
Government Policies and Housing Market
25:01 to 28:00
Investigate how government policies influenced the housing market leading up to the crisis.
“So what did happen that was new in the 1990s?”
Government Mandates and Housing Quotas
28:00 to 29:30
Learn how government mandates shaped the housing market and lending practices.
“Have they really diversified their risk?”
Show all 23 chapters
The NBA Analogy and Lending Challenges
29:30 to 31:00
Explore the analogy of NBA player height quotas and its relevance to lending.
“So there are only so many Nate Robertsons that you can pull into the game, right?”
Historical Discrimination in Lending
31:00 to 32:40
Discuss the historical context of discrimination in the lending industry.
“and that banks left to their own devices will only give...”
The Rise of Subprime Loans
32:40 to 34:20
Understand how subprime loans emerged and their impact on the market.
“So it's a bipartisan problem with two presidents, Clinton and Bush, and their respective congresses, pushing the quotas higher and higher and higher.”
Incentives Behind Fannie and Freddie
34:20 to 36:10
Examine the incentives that drove Fannie Mae and Freddie Mac's lending practices.
“Not only were they buying them, they were telling people, I want more loans like this.”
New Asset Classes and Market Bubbles
39:43 to 41:29
Investigate the relationship between new asset classes and market bubbles.
“you mentioned that subprime loans were a new asset class.”
Lessons from the 2008 Financial Crash
41:29 to 42:00
Discuss why the narrative around the 2008 financial crash often overlooks key factors.
“In some cases, it's just, you know, some of these other factors play into a very well-known asset.”
Understanding Economic Comparisons
42:00 to 43:58
Explore why the US faced a housing crisis while other countries did not.
“So that became, there was some political hate to be made.”
The Impact of Fannie and Freddie
43:58 to 45:13
Learn about the role of Fannie Mae and Freddie Mac in the 2008 financial crisis.
“Yeah, what's the status quo now with respect to quotas on, are there still any quotas on mortgages of that kind, or was that lesson properly learned?”
Lessons from the Great Depression
45:13 to 46:50
Discover critical lessons about economic recovery from the Great Depression.
“Today, they're between$500 billion and a trillion in purchases, I want to say, against a – what's the U.S.”
Analyzing the End of the Great Depression
46:50 to 54:28
Examine the factors that contributed to the end of the Great Depression.
“A, what actually ended the Great Depression?”
AI: Bubble or Sustainable Growth?
54:28 to 56:02
Debate whether the current AI boom is a bubble or a sign of sustainable growth.
“So at the end of last year, these companies collectively had$260 billion in cash and cash reserves on their balance sheets.”
Understanding the Current AI Landscape
56:02 to 58:17
Explore the current state of AI technology and its market dynamics.
“Very, very different from where we are today.”
Future Market Predictions in AI
58:17 to 58:33
Discuss potential market fluctuations and company valuations in AI.
“So it doesn't feel like we're in a bubble at that level.”
Transcript
Automatic transcript. May contain errors.0:00Ryan Reynolds here for Mint Mobile. I don't know if you knew this, but anyone can get the same premium wireless for$15 a month plan that I've been enjoying. It's not just for celebrities, so do like I did and have one of your assistant's assistants switch you to Mint Mobile today. I'm told it's super easy to do at mintmobile.com slash switch. Upfront payment of$45 for three-month plan, equivalent to$15 per month required. Intro rate first three months only, then full price plan options available. Taxes and fees extra. Default terms at mintmobile.com.
0:30Coleman Hughes:Okay, I'm Mon Virgie. Thanks so much for coming on my show. Thank you for inviting me. Happy to be here. So we're here to talk about your new book on the history and as well as analysis of bubbles. That's right. Yeah. And it's a great time to be doing it because everyone is wondering whether AI is a bubble. Of course. Whether crypto is a bubble. And if so, you know, when these bubbles pop, what will the impact be on society if and when, right? So let's table that for now, because I know you have a lot to say about those subjects and a lot of analysis to bring based on the history of bubbles and what patterns you've noticed in the historical data, which is a really useful perspective to bring on it rather than just shooting from the hip, which I think is what a lot of people are doing.
1:14Coleman Hughes:But before we get to all that, just tell my listeners a bit about who you are, what your career trajectory has been, and how it's led you to this interest in financial bubbles. Yeah, sure. Happy to do that. So let me start here. If you'd asked me when I was like 15, 16, what do you want to be when you grow up? I think I always said I want to be an investment banker. I was growing up in Toronto. My family had moved from East Africa, from Kenya, where I was born. And I was living in Toronto at the time and just loved math and loved reading the Wall Street Journal, which is kind of hard to get in Toronto in like the 1980s.
1:48I had to walk about a half hour to the Becker's, which is the, I guess the Canadian equivalent of a 7-Eleven. Paid 25 to 50 cents for the journal, brought it back. I'd read it page to page, front to back every day. So I went to Stanford, studied economics, did get a job on Wall Street. It was at Lehman Brothers, where I was in the financial engineering department, bond trader, derivatives trader. Had a blast and then went to grad school at Harvard Law. Back in those days, and maybe even today, I don't know. You had to get a grad degree in order to get to the vice president or even the associate of Dublin iBank or vice president.
2:22You had to get an MBA or a grad degree. And then a gentleman named Peter Thiel talked me out of going back to Wall Street. And he had just started a company called PayPal. This is back in 2001 now. And so I joined PayPal right out of Harvard Law. I'd met Peter when I was undergrad at Stanford. He was at the law school. My first job there was the junior guy on the IPO deal team working with Peter and Elon. Ten years later, I was running finance for PayPal. I've taken a couple of companies public since and worked in technology as a CFO and operator for most of the past 20 years. But six years ago, my partner and I started a new venture capital firm in Silicon Valley.
3:03He's a two-time member of the Forbes Midas list. He had worked for Peter Thiel at Founders Fund. I'd worked for Peter at PayPal. So we met through that network. And then today, we run the venture firm. And that's going great, but I've always had an interest in finance and economics. I've had an interest in financial history. And a few years ago, as we were coming out of the 2021-22 bubble, I began thinking about how long is it going to last? When do valuations rebound to where they were before? Will they rebound before? A lot of the companies seem to be interesting and new, but I don't think this is unprecedented.
3:37I've seen technology bubbles happen. I mean, I lived through one in 2002. I was a young man back then, but I was old enough to remember. I'd lived through 2008. But I found a lot of investors making a lot of mistakes with the new bubble, thinking that technology was unprecedented, thinking that valuations would reset faster than they did. So I began researching the last couple of bubbles to figure out duration, how big they would be, when they might correct. And I was interested in it. So I kept going back to Japan in 1984, to the stock market crash in 1929. the UK railway boom in 1845, all the way back to Amsterdam in 1636, 37.
4:12And, you know, a couple years later, I have the book coming out next month that just talks about the 10 biggest bubbles in history and causes, consequences, you know, how to think about them and how they reach society.
4:25Coleman Hughes:Yeah. Okay. So from there, let's just start at the definition of a bubble. And perhaps you can clarify whether bubbles are caused by irrational mania and whether that is intrinsic to the definition of a bubble or whether a bubble is simply the phenomenon of rising values and then falling values and why that's important. Yeah, there's a couple of, there's a few definitions possible. Charles McKay, a Scottish economist, would define it more like the first thing you said, it's just an irrational mania. And there's a lot of psychology and a lot of storytelling around it. And then Kendall Berger from MIT also brought some more analytics around it and would discuss it as a element of psychology and crowd-like behavior where people just behave in herds.
5:11And it implies there's some irrationality to it, although he would explain it through some behavioral phenomena. I think that's really hard. I didn't choose to define it that way. I looked at it more like if there's a big run-up in prices and then a run-down in prices, and it's roughly symmetrical, so in a relatively time-bound way, so prices go up by 5x or more in two years or less, and then they give up all that value, that's a bubble. You can define it in other ways, like it's just when prices get untethered from some kind of fundamental value. But then, you know, what's the fundamental valuation for gold?
5:44What's the fundamental valuation for crypto? You know, why is it that those assets can stay elevated for a long time in defiance of fundamentals? and who's to decide what is rational or irrational, right? So I basically looked at it like it's a big run up in prices, a big run down in prices. That's good enough for me. Let's talk about what happened and why.
6:01Coleman Hughes:Got it. So I think it's important to underline that point because we have examples like GameStop where it's literally a meme stock and the reason people get it is precisely because everyone knows that the quote-unquote fundamentals are unsound. Right. But it does go up in value. People make tons of money. people lose tons of money. It's sort of like a self-conscious bubble on purpose at some level, and therefore maybe not a real bubble. But when you look at something like AI or crypto, when we are genuinely uncertain about what the long-run value of these things are, because there is inherent uncertainty about the future direction of the entire world, effectively, you'd have to know the future direction of the whole world in order to know AI's current objective value, right?
6:49Coleman Hughes:And if whole groups of people don't know that, that doesn't make them irrational. If they have a guess about it today that ends up being very wrong in 10 or 100 years, that doesn't necessarily mean they were being irrational today. It just might mean that it's tough to know the future of the direction of the world and whole groups of the smartest people can get it wrong for long periods of time. That's right. And they can also disagree on whether it goes up or goes down and some group is going to be right and some group would be wrong. You can look back on GameStop as a bubble. It also followed the run-up and run-down in prices.
7:23There's some irrationally to it. There's some herd behavior to it. It's mildly interesting, but it's just one example. And throughout history, there are lots of one-offs and baseball cards in the 1980s or 1990s can follow the same dynamic. Yeah, I didn't know that. I learned that from your book, that there was a baseball card and a comic book bubble. Beanie Babies, comic books. Just markets go up and go down. And that's just, it's temperamental within markets. But what I was more interested in is like big asset bubbles that are significant. So land bubbles that are massive, that create a lot of value on a relative basis, like a big part of the economy, lots of people.
8:00And what I really found was it wasn't so much irrationality or irrationality. You can set aside some of that judgmental stuff. There were a couple of factors I found were in common every time. One, the bubble happened in usually the richest country in the world and usually the most wealthy city in the world. So whether it was London in 1845, New York in 1929, Tokyo in 1984, AI is happening kind of in Silicon Valley, if you will, you know, now. And we can talk about whether I think that's a bubble or not, or has some of the repeat patterns of prior bubbles. Usually there's a lot of economic prosperity and it's the richest country in the richest city, one.
8:34Two, there's a lot of wealth flowing into a large homogenous segment of the population. And then the last one is usually some version of easy money, loose financial conditions. It could be low interest rates. It could be an increase in the money supply. It could just be, in the case of Japan, they manipulated their currency to loosen financial conditions. In Amsterdam, there was none of that, but there was the invention of financial derivatives and buying on spec, margin loans, forward contracts, all that had been invented in the early 1600s in Amsterdam, which created those conditions. So when those things happened, those were the keys to when those bubbles happened and why they happened as big as they did.
9:14Coleman Hughes:Okay, I want to underline this because you're arguing that you've looked at the data, first identified what are the clearest bubbles that have happened over, say, the past 500 years, and found variables that are common to all of them. And this is a very interesting case you're making. So the first one is clear. It tends to happen in the richest city, in the richest country, or pretty much close to that. The second one is less clear to me. What do you mean when you say it usually involves a homogenous population? So I'll give you an example of what that means. So let's take Japan in 1984. Why did the Japan bubble, which happened in land and real estate, get so big?
9:58Well, one, they were very rapidly growing. The economy after World War II in Japan was growing at a rate that I don't know if the world's ever seen anything like it. If you'd been born in like 1945 on the day that the bombs dropped in Hiroshima and Nagasaki and you lived to 40 years old, so by 1985, you would have been six times or seven times richer than your parents were at the time of the bombs dropping. So in the course of one generation to have a 6x increase in wealth has never happened before. And, you know, that's that I wouldn't say never happened again, but it had never happened before.
10:31So massive increase in wealth. And then what happened, they industrialized and urbanized very, very quickly. It went from being a largely rural agrarian population. All of a sudden, you had swarms of people moving into cities and they all had shared experiences. So this is a large group of workers who came into those cities, shared history, shared experiences, a lot of shared skill sets coming off of the farms after the U.S. began running the economy of Japan and the economy liberalized. They broke a lot of restrictions on who has to stay on farms, hereditary rules on how land passes from one generation to the next.
11:02And they had similar tastes and values. And that pushed up the price of land because one of the things they valued and coveted at the time was land. And land was very scarce in the big cities. if the wealth is created over a longer period of time and it's into diverse crowds with different types of tastes and experiences, they don't tend to bid up the same asset. The wealth goes into different pockets, different assets get bid up. There's not the same concentration of wealth. So that diversity of wealth tends to mitigate the creation of some of these bubbles.
11:32Coleman Hughes:Oh, that's interesting. Okay, that makes sense to me. So it's like homogenous with respect to your subcultural experiences, worldview, kind of the sort of type of person you are, in a particular cultural context. Yeah. Your values. Tastes, values, what you might buy, how your social status gets signaled, stuff like that. Right, right. Because you've all got to think tulips are really awesome if you're talking about the Dutch tulip bubble. For instance. Yeah. That makes sense. And then the third variable is just easy money. Low interest rates, effectively, is what that means, right? Low interest rates, an expansion of the money supply, creation of financial derivatives, a loosening of financial conditions, in any or all of those ways, exactly.
12:13Coleman Hughes:Got it. Okay, so you also argue in the book that there are two types of bubbles, really, that you looked at, or all the bubbles you looked at fell into one category or the other. One is like relatively harmless, except to the few folks who lost money. And one is destructive to the whole economy. Why is that? And what determines what kind of bubble falls into one or the other? Yeah, so actually there's a couple of them, I would argue were positive. We're actually positive net-net. So the UK Railway Mania and the 99.com boom, I think, were positive, meaning they created a lot more wealth than they destroyed in the long run.
12:51In those two cases, they created a new technology. The railways in 1845 to 1849 were built out. A lot of money went in. A lot of money was lost in 1849-50 because they just built them faster than profits could materialize. But over the next 20 years, England changed. the transportation infrastructure that those railways built changed how the country ran. But in the 1840s, it was very difficult to get from London to Liverpool. It could take six to nine days by carriage ride. They were not safe. There were bandits on the roads, and therefore commerce was heavily suppressed. In fact, it was easier to go from London to Paris than London to Liverpool.
13:29So the domestic economy of England suffered. But between 1850 and 1873, that transportation facilitated a rapid increase in English commerce and British commerce, and the economy boomed. It was called the Great Victorian Boom. It's like one of the longest runs of economic growth ever recorded on par with the Japanese after 1945. After the dot-com boom, if you'd only invested in the dot-com companies in 98, 99, 2000, and just invested across that set of public companies, you would have lost a lot of money in 2000, 2001, 2002. But you would have come away with your portfolio would have included companies founded during the boom.
14:08So NVIDIA founded in 93, Amazon 95, eBay 95, Yahoo 95, Google 1998, PayPal where I worked 1998, Salesforce 1999. You know, I could go on and on, Broadcom 1999. And even out of the detritus of that bubble, so my two first bosses were Peter Thiel and Elon Musk at PayPal. Out of the bubble, Peter took his profits, invested as the first institutional check in Facebook. Elon went on to found Tesla and SpaceX and the boring company and who knows what else. And so a lot of value gets created. Assets reprice, they change hands, but the net is a huge positive for society, for investors as a whole, for consumers as a whole.
14:50Land bubbles tend to be destructive. It's a scarce resource. No value gets created. No technology got created. Tulip bubbles was sort of the harmless. It was an interesting limited asset class. Again, no technology got created. It wasn't a permanent increase in GDP. But it kind of came and went. And the harm was limited to a number of florists and connoisseurs. And the overall economy did okay. It didn't suffer. But the positive bubbles leave a technology behind that people can use. The destructive ones usually are a rapid and violent destruction of value around some kind of limited scarce resource.
15:27it doesn't really benefit anyone.
15:29Coleman Hughes:So it seems like one way to read your book is as a defense of bubbles in the following two senses. One is bubbles. So your three-pronged argument, right? Where bubbles only happen in places that are experiencing enormous and kind of like long-run prosperity, right? So in that sense, a bubble is a signal of success. It's a symptom of success. Like, if you're in a place where a bubble is happening, it's very likely a great place to be. And the bubble, in a way, is proof of that. And then the second thing is that there are bubbles that end up being really positive. Like, sometimes an asset class really is great and about to change the whole world.
16:12Coleman Hughes:Right. But people just overestimate it, overestimate what is fundamentally a really, like, railroads were great. Yes. They just were. Maybe they were built a bit too fast, but they changed the world. similar with the internet. So in a way, bubbles, I've come away from your book with kind of a more positive or nuanced view of bubbles, because bubbles seems to be an inherently bad thing. No one ever talks about a bubble in like a happy way, unless you sold right at the right time, in which case everyone thinks you're a dick. Right. They get a bit of a bad name, don't they? But it's at least an argument that it's possible that it comes out okay.
16:53It's a form of Schumpeter and creative destruction. Famous Austrian economist who basically talks about these new technologies and whether it's railroads, whether it's agricultural productivity, a lot of jobs will get destroyed. A lot of destruction will happen of existing infrastructure, but it's going to be offset with a lot of creation, which net-net is positive. And it is also an argument, I think, that if a bubble is happening, so let's take AI, even if it is, let's assume for a second it is. I don't think it is reasons we can talk about. But it will leave behind a technology that is transformative and life-changing.
17:30I saw this in the 1990s when I was at PayPal. There was a lot of banks that had an infrastructure that they wanted to protect and defend. And it was around credit card processing. And they were making a lot of money on it. And there was no incentive for them to make the credit card rails work any faster or better. It was all dominated by MasterCard and Visa. They would charge small merchants 10%, 20 % of their sales as processing fees and monthly statement fees. And any disruptor who would come in and try to cut that rate in half, banks didn't want to deal with them because it threatened their monopolies, right?
18:08At least their oligopolies. PayPal came in. We charged 2 % to merchants. We destroyed a lot of value in banks, but ultimately we created a lot of value with small businesses. And the bubble let us do that. But for the bubble, Elon Musk and Peter Thiel probably couldn't have raised the money that they did from Sequoia in order to build a company. So the bubble actually catalyzes a lot of new investment in a new area that's valuable. it actually forces disruptors to, you know, to, it gives disruptors the ability to go after new areas, forces incumbents to adjust who otherwise probably wouldn't adjust.
18:42And so it actually could be a net positive. So the argument is maybe the bubble is okay. Maybe you should let it alone and let it play out.
18:49Coleman Hughes:Oh, so that's interesting. So the bubble is inherently good for competition is what you're arguing because also like, let's say for AI right now, you've got the big two, anthropic and open AI, but you've got like, it's right now, if you talk to VCs or founders, they will tell you it's just, it's a point of annoyance in certain cases, how quickly AI companies are raising money right now. Like if you're an MIT guy and you've been studying AI, you got a PE, whatever, you can just raise a ton of money and it's at a speed that is like unusual. But that also, that means that the big dogs right now have to watch their back and have to you know yeah yeah so that let me let me ask a question yeah so you said there's the big two so open an anthropic yeah there is a third one in the mix which we should talk about which is google yeah have you have you used gemini and used used i don't use it often but i have used it yeah you should you so you should check gemini the first company in fact dario almode who was the anthropic ceo came from google um and a lot a lot of the DNA in AI right now comes from Google.
20:01They had this technology back in 2018, 19, 2020. By this technology, I mean LLMs. Yeah, I remember. AI-driven LLMs that they could have used to improve Google search. And they decided not to. And maybe part of the reason was they just weren't sure of the social economic consequences. Maybe they were afraid of Prometheus unleashing some new technology into the world without full regard for consequences or just maybe a distrust of humankind. I don't know. But the point is they didn't launch it in 2019 or 2020 or 2021. OpenAI comes along in 2021, 22 with ChatGPT. They've been founded before. I think they were a 2016 founded company, but as a not-for-profit.
20:43And they finally began moving towards a more of a business model with ChatGPT around 2022. And what does Google do? Now they release Gemini and they've approved Gemini and it's available to everybody. And you have to ask yourself, why didn't they release it when they had it back in 2021, 22? It might be they were afraid of, you know, what would happen to humankind. More likely, they didn't want to cannibalize their own search business. It was open AI and then anthropic that forced them to say, oh, Jesus, if we don't do it, if we don't go after this market now, we will lose our search business anyway, and we'll be, you know, we will be out of the race.
21:18And so now you've got three competitors, but it was the disruptor funded by the bubble, if you will call it that. That's actually what created and motivated them, the incumbent, to build and launch their search engine. And then Microsoft got in the game. And so all the incumbents were catalyzed and pushed into action because of these disruptors. That's interesting.
21:39Coleman Hughes:Also, there is something ironic about the non-for-profit worried about AI safety forcing effectively the big tech companies to accelerate, put their foot on the gas for AI, ultimately. I want to talk about the 2008 financial crisis. One of the common talking points you'll find, and I was just telling you before we started, I rewatched The Big Short recently, which is one of my favorite movies. One of the common talking points is that these banks ruined the country. So many people lost their homes and nobody went to jail. Right. What do you think of the nobody went to jail point as someone who understands, probably understands what went wrong in the financial crisis at a pretty high level?
22:33Well, if you go to the Adam McKay movie, the big short, and then the book from Michael Lewis, right? It's based on Michael Lewis's book. And Lewis is a fantastic writer and McKay is a great director. So it's entertaining. But should someone go to jail comes to culpability and who was really responsible for it. The argument from the book, if you just take the book literally, and then if you also look at the Financial Crisis Inquiry Commission, which was convened after the crisis in 2010, the story was basically, as you said, there was greedy investment bankers. There were really complicated financial derivatives, what Warren Buffett called financial weapons of mass destruction.
23:12There was rating agencies that dropped the ball on governance. And then there was something about deregulation or some lack of regulation. It's not really clear exactly from the movie or from the book, frankly, as to what all that means. But those were the four areas. And ultimately, it's predatory lending. And so banks behaving badly, endangering their own balance sheets, and ultimately taxpayers and taking advantage of people. And so if that's what happened, then maybe somebody should have gone to jail. But I point out in the book that those four things have been around for a long time. It It wasn't like those fell out of the sky in 2007.
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23:49Financial derivatives have been around for a long time. The slave trade in the United States was not primarily, but heavily financed by slave bonds, mortgage bonds in the 1830s, 40s, and 50s. Derivatives have been around for a long time. Ratings agencies, I mean, the first rating agency was John Moody after the panic of 1907, so 1909. We've had literally 100 years of credit ratings and derivatives. Greedy investment bankers, like I worked on Wall Street in the 90s. We've been greedy for a long time. Michael Lewis, who wrote the book, worked at Salmon Brothers in the 1980s. He wrote his first bestseller, it was Liar Spoker.
24:24It's about greedy investment bankers. So Lewis knows better. He should know that there were greedy investment bankers long before 2007. Deregulation, I mean, we've known about lack of regulation and regulatory capture for ever since George Stiegler won the Nobel Prize for this in the 1990s, I think. So what happened in 2007 to make these four things go awry? And was it just greedy bankers that somehow for the first time in hundreds of years, even though they've been greedy for a long time and equipped with these weapons of mass destruction, finally they put the country into a recession in 2008?
25:00I think there's something very different that happened, and it really goes back to the role of government. So what did happen that was new in the 1990s? What I do in the book is I go through a more comprehensive global view of let's pick the countries that had the bubble and where it happened. Why did it happen in the U.S. in 2008? Why not in a different country in a different time? Like why not 1988? Why not 1968? Well, it turns out the bubble really happened in four countries. It was the U.S., the U.K., mostly Northern Ireland, Spain, and then Ireland. Didn't happen in Canada. Didn't happen in Germany.
25:33Didn't happen in France. Didn't happen in Japan. So what did those four countries have in common? they had a housing policy that encouraged affordable housing through incentives to lend. In the United States, this began in 1992. There was a bipartisan bill. I think it was called the Federal Enterprise Safety and Soundness Act. Some ridiculous name like that. Anyway, 1992. It's signed by George Bush, but passed by a Democratic Congress. And it, for the first time, told Fannie Mae and Freddie Mac, you have to put a certain amount of your money into low-income neighborhoods, into families or households that are at or below the median income in their community.
26:12Largely, a lot of the communities that have been redlined during the 1930s. Also by government policy, when the FHA began to do this. So what do Fannie and Freddie Mac do? These are huge government agencies. They are buying up a lot of - Just remind people what those agencies are and why they're special. Yeah, they are government-sponsored enterprises. So they are quasi-government agencies. They actually ran as independent companies and were essentially backed by the government. Their job was to go and to create liquidity in the mortgage market. So the way the mortgage market developed in the U.S.
26:42was first banks gave loans to individuals. So I give a loan to Coleman. What I'm taking on is, as a banker, I'm taking on a lot of idiosyncratic risk, right? Coleman can lose his job. You can be in a great neighborhood, a great house, but you can lose your job or just default. So I've got a lot of idiosyncratic risk as a bank. Well, what if I said, hey, I'm going to give money to Coleman, but I'm going to spread my risk to 10 other people in your neighborhood. And then 10 other bankers come and give money to people in your neighborhood as well. Now I've diversified my risk, and I've reduced the idiosyncratic risk of one mortgage going bad.
27:13So now I'm more willing to lend and play in the market. Then the secondary market develops. Like I've got these mortgages to Coleman and his friends. If I need money as a bank or I want to raise money as a bank or I want to diversify my risk even further, can I just sell them on a national market to other banks? They can come in. They can buy up some of that risk. And they're also diversifying their risk. So the market runs better. Government says, so 1938, they create Fannie Mae. In 1970, they create Freddie Mac. Those are big government-sponsored enterprises that are buying mortgages to create liquidity for banks who can then lend it on to other people.
27:49But both of those agencies, as big as they are, and they were deploying hundreds of billions of dollars at the top of the market,$600 to$700 billion in 2007, 2008. They're buyers, but they're not in the business of buying bad loans or making bad loans. They're looking for high-quality loans. Did the bank do their underwriting? Have they really diversified their risk? Is Coleman a good credit risk? Okay, if so, I will take that risk. Offer the bank's balance sheet, let the bank spend more money on it, on the market. Beginning in 1992, these government-sponsored agencies got a directive from this congressional law, the 1992 law.
28:22And the law was, you have to spend 30 % of your Fannie Mae and Freddie Mac buying has got to go into these middle and low-income neighborhoods. So they put a quota on the housing market. So imagine if, you know, let's take the NBA as an example. What if you said to NBA teams, you have to start one of your five players who is five foot eight or below? I'm picking five eight. Great for me.
28:48Coleman Hughes:I could finally live out my dream of being on the Brooklyn Nets. Well, that's one way to – they will definitely be – I support that law. I don't know. You seem like you're about to criticize this law. I totally love it. There's a good reason for the law. If you say five eight is the average side of an American man, and so let's get at least one starter. You will probably create opportunities for, you know, you'll find a Spud Webb or a Calumura. Or Nate Robertson, who's maybe, is he 5 '8"? About. About. There will be players like that that can start and maybe didn't get a chance to start before.
29:19And that's all good. And you also ensure that, hey, we're not going to, we don't want discrimination against short people. We want to at least give them an opportunity. So, okay. And you will, but then what happened was in the mid-90s, they soon ran out of these highly qualified loans going to people who were below or average income. So there are only so many Nate Robertsons that you can pull into the game, right? Right. So then they had to begin to stretch. Then the quotas went up. By 1996, they said 40 % of Fannie and Freddie purchased loans have to go into these low and middle income neighborhoods.
29:52Coleman Hughes:And these policies are justified in the name of helping the poor. Right. Yeah. Helping the poor, helping minorities, et cetera. Yes. I think yes to both. So Barney Frank would have said poor people, people with below average incomes should be able to live in a home. And live the American dream and so forth. That's right. And banks shouldn't be discriminating against those people. So we should ensure that everyone's got a chance to have a loan. And we shouldn't sacrifice underwriting quality. I don't think that was the intention of the law. But you can imagine, just if the NBA said, you've got to start somebody at 5 '8 or below, but make sure they're really, really good, because you've still got to play to win, Coleman.
30:33At a certain point, the team's going to be like, okay, I can probably find one of those people. I'm not sure I can find two, and I'm not sure they can start every game.
30:44Coleman Hughes:The assumption there also is that the teams aren't already looking for the occasional gem there. That's right. The Knicks did find Nate Robinson. and SpudWeb and so forth. But there is some assumption that maybe the markets don't work effectively and that banks left to their own devices will only give... Do you think that was true to any extent? I don't know that there's a lot of evidence of that. If you look at the 1960s and 70s, I think you can probably justify that argument that banks were very selective in terms of who they lent to. It was exceedingly difficult to get a loan unless they could check the boxes and certain very easy to understand metrics.
31:27There was probably a lot of racial discrimination as well. There almost certainly was. In the 60s, yeah. Yeah, I'm sure there was. I wouldn't say I'm an expert on that, but I could imagine certainly coming out of the 50s and 60s, there would have been racial discrimination just even based on what neighborhood you were in. Is the collateral high quality? But they would look at that loan to value ratio. They would look at your employment history. They would look at your credit rating. And then they would look at things like, what's your income? Like, what is your income to, you know, what is the ratio of the income you're bringing in to the debt payments that you're making?
31:58Essentially, your income to debt ratio. And so, you know, all those would be factors that would go into the analysis. In the 1980s, when banks were slow to lend, we had a lot of innovation in high-yield securities. And a lot of that was in the mortgage market. And so, there were innovators and bankers who would come in and would lend to people at higher interest rates, given the higher risk. But they would, it became a much more inclusive market in the 1980s. And if you read Liar's Poker, you know that. That's where all the fun happens at Salomon Brothers. It's the mortgage-backed securities market.
32:27So a lot of those inefficiencies were going away because of the market. Well, the bank puts quotas to go even further with Fannie and Freddie. And the quotas begin at 30%. They go to 40%. They were 50 % by 1999. They were 56 % by 2007 under George Bush. So it's a bipartisan problem with two presidents, Clinton and Bush, and their respective congresses, pushing the quotas higher and higher and higher. because they're getting more affordable housing. I guess that's politically popular. At the time, interest rates were super low. So people were making their payments. Housing prices were going up.
32:59So everyone was happy. But by 2007, housing prices have now escalated to a bubble proportion, especially in certain neighborhoods where you have tier three housing that's much, much more expensive than it should be. There's a building boom happening. Then people got into subprime loans. So what happens when you're around a high-quality people that you can lend to? The SpudWeb, Nate Robertson's example. Well, now you've got to stretch. You've got to find someone that is 5 '8 or below, who's like a low LMI, a low or middle-income family or household. And what if, based on these other metrics, they don't want to take your money or you can't get them to qualify?
33:41Well, you begin to reach. So what do they begin to do now? Now the bankers began doing things like, well, let's cut your interest rate from 6 % to 1.9 % now for two years, and then it'll kick up to 10 % later, teaser rates. If normally I'd want 10 % down, can you give me 5 % down? Can you give me 2 % down? How about you give me 0 % down? How about we do a negative amortizing loan? What's the negative amortizing loan, you say? Oh, well, you need$100 ,000 for a house? Let me lend you$102 ,000. So I'm actually negative. I'm going to negatively amortize the loan. and then you're just going to owe me interest for a bit and then we'll get to the principal payments later.
34:17And Fannie and Freddie May were buying these loans in 2004 or 2005. Not only were they buying them, they were telling people, I want more loans like this. So Fannie and Freddie May were doing this in the West.
34:26Coleman Hughes:What was their incentive? Was their incentive simply to comply with the law or did it go beyond that? The actual decision makers there at Fannie and Freddie. I think they're, well, their incentive, they were pushed by this congressional mandate. So they had to put 56 % of their money into these LMIs. And so the government quota, the government mandate was, I think that was their main incentive. They did tell the government on more than one occasion, we're not compromising underwriting standards. So yes, we've relaxed the loan to value ratio. Yes, we've relaxed standards on things like your debt to income ratio.
35:02Yes, we've relaxed some of the other unusual payments like negative amortization and teaser rates. We would not have done that in the 1980s. We're doing it now. Up until 2007, they were representing that they were not sacrificing loan quality. And they were kind of right. But what was happening was from 2003 to 2007, you also had a period of strong economic growth and super low interest rates. The rates had fallen to all-time lows by 2003. In the 1980s and 90s, in the 80s, you might remember, mortgage rates were 8%, 9%, 10%. The economy was growing, and people would pay 10 % for a housing loan.
35:38In the early to mid-90s, rates came down to 6%, 5%, 6%. Pretty affordable, but still relatively high relative to what happened after 2001. 9-11 happens, rates come way down. 2003, 2004, rates stay way down. You get 1 % and 2 % interest rate mortgages. So in that environment, people were making their payments, and you didn't have a problem. And Fannie and Freddie, I think, were feeling like, okay, we've changed some of our rules, but we haven't relaxed our standards and no one's defaulting, so it's got to be good, right? Well, 2007, it begins to go wrong. The economy begins to slow down. All of a sudden, the default rates begin to pick up and pick up and pick up.
36:20Historically, the subprime bonds, which is kind of a new asset class, had only seen default rates of 2%, 3%, 4%. They got a size 40 % in 2008. And I would argue that some of that is bankers dropping the ball and making bad loans and bad decisions. Some of that may be malevolent. Some of that may be deliberately predatory or obviously obfuscating loan dock requirements. But I think the reality was the market disciplines people who do that. You don't have to send them to jail. They will lose money all by themselves. They don't have to go to jail to learn the consequences. But when you have the government buying up a big chunk of those ill-performing loans, and you've also got super low interest rates that are disguising a lot of bad behavior, those are also, I'd call that contributory negligence, to use a legal term.
37:05Coleman Hughes:If you're like me, you've probably seen a recent headline and wondered, can the president really do that? That's why I recommend checking out the chart-topping podcast, You Might Be Right, hosted by former Tennessee governors from the left and right, Phil Bredesen and Bill Haslam. It's produced by the Baker School of Public Policy and Public Affairs at the University of Tennessee. And fun fact, the show is named after Howard Baker's principle, always remember the other fellow might be right. Now that's a quote that conversations with Coleman can get behind. On You Might Be Right, the governors tackle timely policy conversations with political luminaries like Al Gore and Judy Woodruff.
37:46Coleman Hughes:If you need a place to start, check out their recent episode on whether there's too much money in politics. Political spending enables expression and participation, but at what cost? As we approach the midterms, this is a timely and thoughtful discussion featuring Harvard Law School professor Larry Lessig and former chair of the Federal Election Commission Brad Smith. Hear balanced perspectives without the shouting matches found on mainstream news. Follow You Might Be Right on Apple Podcasts, Spotify, or wherever you get your podcasts, and tell them I sent you. On this show, we spent a lot of time having honest, unfiltered discussions around Israel, Zionism, and anti-Semitism.
38:25Coleman Hughes:And if our conversations have made you more curious about any of these topics, I have a recommendation for you. Wondering Jews with Mijal and Noam is a podcast hosted by two of the leading Jewish voices of today, Noam Weissman and Mijal Bitan. On their show, Mijal and Noam are finding fresh perspectives on tough subjects. They've explored the war on Iran from the viewpoint of Persian Jews. They've poked fun at anti-Semitism with comedians. And they've asked prominent rabbis about the future of religion. If you value nuance over hot takes and want to get past all of the noise, this show is for you.
39:02Coleman Hughes:Search Wondering Jews with Mijal and Noam on Spotify, Apple Podcasts, or YouTube and subscribe. Or find the link in the show notes. When you finally find your thing, you want the whole world to know about that thing. So you use a thing called Canva to make it an even bigger and better thing. Whether you want to create flyers for that thing, make presentations for that thing, or design merch for that thing, you can do anything. So people can see your thing, feel your thing, love your thing. The next thing you know, it's a thing. Canva, the thing that makes anything a thing.
39:42Coleman Hughes:So is one of the causes of, you mentioned that subprime loans were a new asset class. And that strikes me as potentially important to understanding bubbles in general. Maybe not everyone, But don't they often involve new asset classes that are poorly understood as a result? Like, we don't totally understand crypto's value in the long run because it's new. We don't totally understand subprime mortgages, or at least we didn't at the time. Tulips were new even in the Dutch case, right? Like, there's something that happens when something new is introduced where its value is inherently more uncertain.
40:21Coleman Hughes:Is that an important component of the story with bubbles? Or is that just a few cases I'm cherry picking? I think it can be. Not always. I think subprime, it was something that was small and niche and was kind of around in the 80s and 90s. But it was like$10 to$50 billion a year. And it was all like, you couldn't securitize that stuff. A bank makes a risky loan, 99 % loan-to-value ratio, or hey, we'll do a teaser rate. That would not have qualified for most securities pools. It wouldn't have qualified for Fannie and Freddie. So they're taking the risk on their own. And maybe Coleman's a good guy, and I'm going to make him a one-off loan.
40:57But it went from being a little niche industry to$600 billion a year in the 2000s because of the – it became a really big asset class because of the government policy, is what I argue. Tulips was definitely new, but, you know, flowers had been around for a long time. Maybe tulips were – there was a special scarcity to them, and it became a very coveted flower in the 1620s and 1630s in Europe. Came from Turkey. A lot of the bubbles, though, are just like around land. The Australian land boom is a perfect example. Like there was nothing new about land. It just became really scarce. Japan was also about land.
41:29In some cases, it's just, you know, some of these other factors play into a very well-known asset.
41:33Coleman Hughes:Right. So if it's true that the 2008 financial crash was like the key variable that made it all possible was government policy intended charitably to expand housing to the poor. Yeah. Why is that not the lesson that most Americans are walking around with in their heads from the 2008 financial crash? Is it just that the story has been told through a left-wing media bias that doesn't want to come to that conclusion and is more comfortable sort of blaming greedy Wall Street? Or is there more to the story? That's a great question. i so the question i guess you would have to it's it's entertainingly told with michael lewis and adam mckay it's an easy narrative like oh the bankers were badly behaving um whether that's left-wing or just entertaining i don't know obama definitely campaigned on that in you know in 2008 2009 and the financial crisis inquiry commission um drew that conclusion with the majority of Democrats writing that conclusion.
42:37So that became, there was some political hate to be made. If you ask the question, why this happened in the US and not in Canada? So Canada also, or Germany, the Netherlands, all these countries want to do affordable housing too. What did they do in Germany? They didn't encourage lending to people who couldn't afford the loans to buy low-income housing. What did Germany do? They built housing. The Netherlands, Belgium, they built housing. Canada built housing and then they subsidized people. So Coleman, you qualify for a housing subsidy, a voucher. I'll give you the money directly, you do what you want.
43:10I'm not going to go subsidize JP Morgan to give you a loan or force them through a quota. So this kind of level of understanding of comparative economics, I think, looking at the US, asking yourself, why did it happen in the US and UK and Ireland and Spain, all of which had similar housing policies, by the way. How come it didn't happen in Germany, China, Japan? I think that's just hard thinking. People really have to work to think about it and have to understand economics a little bit. It's easier, I guess, to tell a story about greedy bankers. It sells more. It's easier to campaign against it.
43:39A lot of economists have looked at it since. I think I've come to that other conclusion, which is there's more to it than that. But I think a lot of this is just economic literacy among the broader population. And would you take the right lesson away from history, which is what I hope to resolve with my book. I hope everyone reads the book and asks those questions.
43:58Coleman Hughes:Yeah, what's the status quo now with respect to quotas on, are there still any quotas on mortgages of that kind, or was that lesson properly learned? That's a great question. Fannie and Freddie went bankrupt in 2008. In fact, a little-known trivia point, who were the first major institutions to go bankrupt when 2008 happened? Lehman Brothers, Bear Stearns, AIG, very famous victims. Fannie, Freddie Mac. Of that group, who was the first one to declare bankruptcy? Do you know? Bear Stearns or Lehman? I don't know. In my memory, that's what it is. Because you've read the big short. That's probably where your head goes.
44:38That's what a lot of Americans think. Actually, it was Fannie and Freddie. Bear Stearns had a couple of high-flying hedge funds that were in March of 2008 that were restructured. Didn't go bankrupt. Fannie and Freddie went bankrupt first in September. And then Lehman followed about a week later. And then the shit really hit the fan. And then the government had to step in to take out and to prevent the other catastrophes from happening. But Fannie and Freddie were essentially taken off the market. They went bankrupt. They were privatized. They're still running under government restructuring plans now.
45:07There's discussion now to take them public again. But they're far smaller than they were back then. Today, they're between$500 billion and a trillion in purchases, I want to say, against a – what's the U.S. GDP? $35 trillion. Back then, U.S. was$10 trillion in GDP, and these guys were spending over a trillion dollars at the top of the market. So they were far bigger relative to the economy at the time. They've relaxed their quotas, and they've completely changed how they go about evaluating loans and are, I think, much stricter in terms of what they scrutinize. But you can imagine—
45:37Coleman Hughes:Which is a tacit admission that those laws were part of the story. I think when they declared bankruptcy, that was an admission that they weren't quite playing the way. they didn't quite have it right. At the time, there was congressional testimony where if you asked senators, hey, what percent of all the bad loans in America are being held by Fannie and Freddie? There was congressional testimony in the middle of 2008 that was like, oh, none of it. It's all the private sector, isn't it? And it only came out later that when Fannie and Freddie were properly audited, like, oh, they're holding like half, two-thirds of all the bad loans in America in 2009 were on Fannie and Freddie and other agency books.
46:16The Veterans Agency, they're all subsidizing their lending. And no one knew in Congress that it was the VA and Fannie and Freddie. This all came out in subsequent testimony. In fact, this came out in 2011 and 12 after the FCIC commission issued the report, which is a point now that gets made by economists who are thinking about this a bit more clearly. So I think Fannie and Freddie have substantially changed how they operate. It doesn't mean that they're immune from political pressure. I could easily imagine this happening again because people don't always take the correct lesson away. Mm-hmm.
46:47Coleman Hughes:What lessons should we draw from the Great Depression and how it was ended? A, what actually ended the Great Depression? I know that's a source of controversy among economic historians. And so in your opinion, what ended it? What lessons should we draw? I think the mainstream view, I don't know there's much disagreement anymore. In 1929, just to refresh everyone's memory, the economy is coming off of a nine or 10-year run of like 4 % real per capita GDP growth. That is the best decade on record. Like after the 1880s, it's probably the best decade that the US has had on record. A lot of technological change, whether it's the automobile, the assembly line, chemical factory processes, the movies began to talk.
47:32Talkies begin in 1927, 1928. And a lot of this economic growth happens during the roaring 20s. In 1929, the stock market crashes. And we've had crashes before. Stock markets had gone down 10%, 20 % multiple times, never created this kind of a massive contraction in economic activity. But between 1929 and 1933, the economy contracts by one third. Unemployment rate peaks at 24%, 25 % about 1932, 1933. And even 25 years later, a lot of economists didn't really understand, could not have told you, there was no consensus as to what was the cause of the Great Depression. Why did this stock market crash cause everything to collapse?
48:12and we had this big, prolonged decade of economic despair. One of the bestsellers was written by John Kenneth Galbraith called The Great Crash. He wrote it in the mid-1950s. And he opens it by saying, to this day, we don't really know what caused the Great Depression. So up until the 1950s, and Kenneth Galbraith is like a bestselling author, Harvard professor. If anyone knows the answer, it's going to be him. He's like, I don't know. Not only do I don't know, nobody knows. In the 1960s, there's groundbreaking work from Milton Friedman and his wife Anna. And he eventually wins a Nobel Prize primarily for this research.
48:43He writes a book called The Monetary History of the United States, and he points to the money supply. And he goes back and says, here's what happened. Beginning in 1929, the Federal Reserve, it was kind of new at the time, only about a decade and a half old at the time. They let the money supply contract by about a third. And as they did, it basically took all the economic activity down. Money really matters. Managing the money supply really, really matters. And economists ever since then, I think have generally said, yeah, he's probably right. How do I know that? Well, one, he won the Nobel Prize.
49:14Doesn't necessarily mean that he's right, but it means that they were coming around to that point of view. Ben Bernanke, who won his own Nobel Prize in 2019 for writing about the depression and the money supply, was Federal Reserve chairman. At Milton Friedman's birthday a few years ago, he said, you know what, Milt, you got it right. I agree. We were the problem. We, the Federal Reserve, were the problem. We'll never do it again, thanks to you. So by then, I think he had a consensus view that the shrinking at the money supply was a huge factor. Can you explain why that was a factor? What's the model there?
49:44Yeah, it's kind of complicated, but I'll try to keep it simple. The way that money supply gets created in a banking system is a bank gives you a loan, you Coleman, a loan. You go out and spend that money in the economy, and then you're spending that money on items and goods and services, and that money gets circulated in the economy over and over and over again, and so that creates money. liquidity in the economy. Well, let's say the bank stops lending and calls back the loan. So you, Coleman, have to give the money back to the bank. You can no longer spend it on goods and services or your kids or your car or whatever else.
50:18And so there's a contraction in the amount of money circulating in the economy. During the Great Depression, what had happened was once the economy contracted, banks began pulling in their loans. The Federal Reserve actually encouraged them to. They were like, hey, don't have any bad money going out into the economy because that's That's not good for the banking system. So banks began to pull their loans back, and that caused people to stop spending, and the economy dropped. Then asset prices fell, stock market, but also the housing market. Banks are like, oh, my God, our collateral. Homes, real estate, the value of stocks.
50:53Collateral value is going down. We've got to pull back our loans even more, and this creates a cycle of stricken money supply. And then there was a huge bank run. There were a couple of them in the 1930s. And now, all of a sudden, people want their money back from banks, so banks have to pull their loans in even more. So the loan portfolio shrank by a dramatic amount, and that just pulls money out of the economy. So Friedman would have said, well, the Federal Reserve should have stepped in at that point and ensured that banks were liquid. That means that they don't pull their loans back. They could have cut interest rates.
51:21Didn't do that. And they just created this deflationary spiral by allowing collateral values to drop and banks to pull in money. And that's just a cycle that's very, very hard to get out of. I think most people would now agree. John Maynard Keynes recommended, and I think people would agree, what broke the cycle in 1936. was there was a reflation of the money supply. The US comes off the gold standard, which forces you to keep your money very, very tight. Again, technical reasons we don't have to go into, but when you're on a gold standard, you can't just print money willy-nilly. You have to keep, you have to, you know, if Coleman comes in my bank and says, I want, hey, I want a, I want, I've got a, here's a bunch of cash, I want gold, or I want gold and I want a bunch of cash.
51:58I have to be able to honor that commitment. So if I print a bunch of money and, you know, all of a sudden Coleman comes at me with all that money and says, I want gold. Well, I better have gold enough to back my currency. So the US comes off the gold standard in 1932, 1933. And at that point, they can print more money and they can lower interest rates and they reflate the currency. And then John Maynard Keynes says, you should spend a lot of money on the deficit in order to push the economy forward, kind of counter cyclical when the economy is shrinking. Government should step in and spend. They do that around World War II.
52:28They resisted initially in 1836, 37, but 39, the war comes along, then it's all bets are off. And then they start spending money, reflating the currency and the combination of those two things gets the economy moving again. So I think that's sort of what caused it. And that's what got us out. One last point, which I think is kind of my predisposition, although I think Friedman is largely right. There was a big tax increase in 1932. Calvin Coolidge had cut taxes from the end of World War I from up to 60 % at one point down to 25%. Those tax cuts really helped to stimulate the economy and move it forward.
53:02Kind of a supply side argument before supply side economics was a thing. Under Hoover, tax rates went back up from 25 to 63 % in 1932. And then by 1933, they were at 79%. And when you increase taxes, I think anyone today would say, if you increase taxes from 25 to 79 % in a recession, well, you're bound to have a, that's bound to be bad for the economy. I think all economists, left-wing, right-wing, and centrist would now agree that had to be a contributing factor as well.
53:32Coleman Hughes:So they just didn't understand that massive tax increase at a time of decreased economic activity, which is kind of obvious today. You say that now because you've got the benefit of 100 years. That's how it became obvious. That's how it became obvious. And the money supply thing would also be obvious until at that time, though. It was not obvious to people at the time. Right. Okay. So is AI a bubble? I would say no. Let's go back and remind ourselves what is the definition of a bubble. It's a big run-up in asset values that then all goes away. So what you're asking is, is all that value created in open AI, Anthropic, Google, is that all going to go away in the next year or two years?
54:17So a couple of facts. Most of the AI spend right now is coming from four really big hyperscalers. It's Meta, it's Microsoft, it's Alphabet, it's Amazon. These are very profitable companies. They're all kicking off cash flow. So at the end of last year, these companies collectively had$260 billion in cash and cash reserves on their balance sheets. A lot of this is financed with equity. The stock market today, as we sit here, is trading at about 20 or 21 times next year's earnings, EPS. This is the S &P 500. The hyperscalers are low 20s. Google's at 15. NVIDIA's like 15, 16 times price earnings ratio, okay?
54:57Let's compare this to 1999. The price-earnings ratio of the NASDAQ 100 peaked at 73. The company in the middle of everything then was Cisco. It's NVIDIA now. NVIDIA is a profitable, cash flow positive company. They're going to buy back probably$100 billion of stock in the next couple of years. They just authorized an$80 billion buyback, I think, a week ago. The company in the middle of everything then was Cisco. Cisco, they were building the routers for the internet and the networks, which is 200 times. price earnings ratio in 99 and 2000. They lost money in 2001. They were not selling to well-capitalized hyperscalers.
55:38They were selling to mostly telecoms, Global Crossing, Quest Communications, WorldCom, Enron. We thought the telecoms were profitable at the time. It turns out they weren't. And they ended up going through accounting frauds and scandals and restated earnings. And when all the dust cleared, there were also money losing. So you had this massively valued company, Cisco, selling to primarily money-losing companies, and that was the telecom bubble of 2000, 2001. Very, very different from where we are today. Just the valuation environment's different. Right. And so that would suggest to me this is not the thing that bubbles are made of.
56:14One other really important point, and this is distinct, I think, from the 99 bubble and also the 1845 railway boom. In 1845, we had a railway bubble because people thought railways would change the world. They did. Correct. They thought the profits would come in like the next three to seven years. They didn't. But they built a lot of railway in advance of demand. So it was a build-out of a new technology in advance of the demand really materializing. They thought people would take the railways that would go from transporting cargo to passengers, and the railway revenues will increase dramatically in the next three to seven years.
56:48Well, it turned out between 1845 and 1850, railway revenue doubled. And it doubled again from 1850 to 1859. So you're like, how can that be a bubble? Well, they spent so much money that even that doubling and doubling of revenue didn't justify the investment, and that caused a market crash. In 99, they were laying so much dark fiber, basically fiber optic network cable that connected people through broadband, but it wasn't lit up by demand. Internet demand was rapidly increasing, but they built so far ahead of it that 99 % of all the fiber laid by like 99, 2000 was dark, hadn't been lit up.
57:19Coleman Hughes:What's the probability that data centers are like the railways of today? Like, it's a good investment, but they're going too fast. I think every single, so this feels more like it's demand-driven. And the constraint is supply now. Meaning if every single GPU that NVIDIA rolls off the assembly line, metaphorically, lights up the next day. It's not like they're laying dark fiber or building railways that no one is using. And then thinking, if we build it, they will come. They're already here. They're building what people want. So this feels like there's real demand. And the demand is coming from OpenAI and Anthropik, as you said, but also from Google and from Facebook and from lots of other folks who are just now figuring out the use cases for it.
58:02So I think those are three reasons why it doesn't feel like a bubble. The valuations are different. I think it's demand-driven, not supply-driven. And then I think just the overall business, the technology, the value of it is incredible. There are a lot of things that AI is going to enable us to do that we haven't yet figured out, but that will leave a lasting and generally positive impact in what we do. So it doesn't feel like we're in a bubble at that level. I will say there's a very good possibility the market will go down by 20 % next year. And OpenAI or Anthropic or one or the other or both may not be worth a trillion dollars.
58:36So there'll be lots of companies that don't make it and lots of individual idiosyncratic losers. But that's not quite the same thing as being in a systematic bubble. All right. I'm on Virgi. Thank you so much for coming on my show. Okay. Thank you for having me. Had a good time.
From the publisher
Aman Verjee has had one of the more unusual careers in finance. He started on Wall Street at Lehman Brothers, joined PayPal in its earliest days and worked alongside Peter Thiel and Elon Musk, and eventually became a venture capitalist in Silicon Valley. Along the way he developed an obsession with the history of finance, which led to his upcoming book, A Brief History of Financial Bubbles. He joined Coleman to talk about what the biggest bubbles of the last 500 years have in common, what they reveal about the societies that produced them, and what actually caused the 2008 crisis. Then they look at the questions that everyone is asking: Is AI a bubble, and how will it end?
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