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Podcast Summary: From Wall Street to Crypto: Tom Lee’s Investing Journey
Overview In this episode of *The Journeyman*, host Raoul Pal interviews Tom Lee, co-founder and head of research at Fundstrat Global Advisors. The conversation explores Tom Lee's investing journey, examining how his experiences during various market cycles have shaped his current investment strategies. Key topics include the impact of AI, demographic shifts, technological advancements, and their implications for the global economy.
Key Themes
Tom Lee's Background
- Early Interest in Investing
- Developed a passion for stocks in his youth, influenced by reading financial news.
- Studied finance at the Wharton School, University of Pennsylvania.
- Wall Street Experience
- Started his career at Kidder Peabody focusing on the wireless industry.
- Transitioned to Solomon Smith Barney and later JPMorgan, gaining insights into growth versus profitability.
Lessons Learned from Market Cycles
- Understanding Growth and Value
- Early experiences in the wireless sector taught Lee that growth does not always equate to profitability.
- Emphasized the importance of recognizing value in hidden assets, like subscriber bases.
- Market Sentiment
- Lee observed that younger investors often have different perspectives than older investors, affecting stock evaluations.
Current Investing Strategies
- Macro and Micro Analysis
- Lee’s approach combines macroeconomic frameworks with micro-level company analysis.
- Analyzes bond market movements to assess equity market valuations.
The Role of AI and Technology
- AI as a Game Changer
- AI is expected to revolutionize productivity and economic growth.
- Lee believes that the AI landscape is still underdeveloped and that significant opportunities remain ahead.
- Demographic Trends
- The rise in the population of individuals aged 30-50 is significant for economic consumption and investment.
- Lee argues that demographics play a crucial role in shaping macroeconomic trends.
Investment Insights for the Future
- Equity Market Outlook
- Lee is optimistic about equities, especially in AI and tech sectors.
- He suggests that Bitcoin will be a leading asset class, outperforming traditional safe havens like gold.
- Identifying Winners
- Lee emphasizes the need to identify companies that will benefit from the AI boom, akin to finding the "Apple" or "tower equivalent" in the tech sector.
Challenges and Opportunities
- Navigating Market Risks
- Lee discusses the potential for overbuilding in AI infrastructure and the need for strategic investment.
- Companies need to adapt to changing economic landscapes created by demographic shifts and advancements in technology.
Key Takeaways
- Adapting Investment Strategies
- Investors must continually evolve their strategies based on macroeconomic trends and technological advancements.
- Understanding demographic data is critical for predicting market behaviors and investment opportunities.
- The Future of Investing
- The podcast emphasizes a forward-looking perspective on investing, particularly in the context of crypto and AI.
- As the economy transitions, those who can recognize and adapt to these changes will be best positioned for success.
Conclusion Raoul Pal and Tom Lee's discussion offers valuable insights into the integration of macroeconomic factors, technological advancements, and demographic trends in modern investing. As the landscape continues to evolve, the conversation serves as a guide for investors seeking to navigate the complexities of the current market and capitalize on emerging opportunities.
For more insights and resources related to this podcast, consider exploring the sponsor offerings mentioned during the episode, including Bitwise Asset Management and SuperAI events.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Hi, I want to talk to you today about my friends at Bitwise and why they're the best crypto asset manager out there. So many investors I know are working with Bitwise today. They've got more than 20 products to help investors get whatever access they need or want. They've got a team of more than 100 across the US and Europe. They have more than$10 billion in client assets. It's not just the products that show they're all in. They've even supported the ecosystem by donating 10 % of their Bitcoin and Ethereum ETF profits to open source developers. And they were the first company to publish their Bitcoin ETF wallet address.
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1:40Hi, everyone. I'm Raoul Pal, the CEO and co-founder of Real Vision. Here at Real Vision, we're committed to give you the best knowledge, tools, and network to help you succeed in your financial future. If you're enjoying this podcast, please take a moment to give it a five-star rating. It truly helps us continue to bring top-tier content. Thank you so much. Hi, I'm Raoul Pal, and welcome to my show, The Journeyman, where we go on that journey to the exploration of the nexus of macro crypto in the exponential age of technology. Today, we bring it all together with somebody that I've known for a long time.
2:18I've never actually interviewed, and I've been really looking forward to doing this. Somebody who brings these three themes together and also the investability side. And that's why I want to speak to Tom Lee. Tom has a great history and a great track record in investing in exponential technologies, including crypto, and using a macro framework to understand them. So I thought he'd be a perfect guest for you guys and myself to learn from. So let's sit down with Tom Lee and see what we've got to learn about where this is all going. Join me, Raoul Powell, as I go on a journey of discovery through the macro, crypto and exponential age landscapes.
2:58In The Journeyman, I talk to the smartest people in the world so we can all become smarter together.
3:07I always like to give people a bit of your journey. How did you get to where you are today? Where did you start your career? Give us some of the insights of where you came from to today and how you've kind of formed your thinking en route, because we all change how we look at the world as we go on. So I'd love to hear some of that. I've been interested in stocks my entire life. So as a youngster, I was one of those kids that did like to read the newspaper and check the price tables in the Detroit Free Press. Hi, Raoul here. Listen, I think we've got until 2030 before the economic singularity arrives.
3:48Now, it might not be the exact date, but it's around then. So we have about six years to figure out how to unfuck our future. I've put together a report to help you called Prepare for 2030. It's going to help you take the first steps in that journey to make sure you're secure past 2030. So just click on the link below and start your journey now. The Detroit Free Press, that's not the normal place to start. Yeah. And so after high school, I went to the University of Pennsylvania Wharton. and studied finance because I was quite interested in business and ended up in New York. My first job on Wall Street was at Kidder Peabody, which is an old boutique investment bank.
4:38At the time, it was owned by GE. I was assigned to focus on the wireless industry, which in the early 90s was in its infancy. I was a very junior analyst, a junior what they call research associate. And the industry only had 34 million cell phones globally at the time. Wow. And of course, as you know, it's grown parabolically to almost... Actually, I did the last check. There's actually more cell phones today than humans. Yeah. So the penetration is over 100%. That was a really helpful industry to do stocks because, one, it was an industry that consumed a lot of capital. They were borrowing money.
5:26The carriers I covered had to borrow money to build networks. And then until they had enough users on the network, they actually didn't make money. And it was a hyper-competitive business. So I learned a lot about just some of the rules about investing, such as growth isn't the same as profits because these companies didn't necessarily make money. And yet the stocks actually had value. So it wasn't as if you had to stick with the rules of like earnings is the reason the stock has value because the carriers themselves had spectrum, which was a hidden asset. and then they had the recurring value of their customers.
6:07Subscriber value really was a newer concept in the 90s because besides the cable industry, there really wasn't much in the way of subscription businesses. So the idea of lifetime revenue per sub, none of these were actually concepts yet. But those were the hidden assets. And one of the things I learned during wireless was really two things that I think were very formative. And the simpler realization was that you could really understand what the stocks would do if you followed what the bonds were going to do. So I was at Kidder first, but then I moved to Solomon Smith Barney, and they had a very big high-yield trading desk.
6:49And that's really where I learned so much about the levels of bonds. And so I knew wireless stocks were in trouble when their bonds were trading below 80. and if their bank debt was below 80, basically, you're going to go bankrupt. But actually, a lot of times the bonds would begin to recover and the stocks wouldn't move because, as you know, equity markets often have their own view about a company's prospects that are separate from the bonds. And so when the bonds recovered and the stocks hadn't, that was always a really big tactical opportunity for us. And so I had made some very famous bottom calls for the wireless stocks because I had seen pronounced recoveries in the bond prices that weren't reflected in the stock prices.
7:34But I think the second, maybe more important thing I learned was the bias of age, that I was in my 20s covering wireless. And actually, I became a senior analyst at age 24. So by age 24, I was actually covering my own stocks. And I had a lot of optimism about wireless because I saw how much my friends were using it to communicate. In the 90s, we all had to use pay phones and answer machines, but when you had a cell phone, you could suddenly call each other. And so it seemed very revolutionary to me. Whereas a lot of our clients who were in their 40s and 50s thought of wireless as a yuppie toy.
8:15And so they viewed wireless as simply something that the landline companies, business wireline or long distance would use to protect their existing businesses. so they didn't see wireless as actually a replacement or supplanting landline. They saw it as a way to protect landline. And that also gave us a lot of opportunity because, you know, of course, the world flipped. It must have been 2000 or so. The number of cell phones exceeded the number of landlines. So it took, you know, eight years, but then the crossover happened. And so that made me realize the world of new opportunity and technology cannot be viewed through the eyes of old people because older americans are tend to favor incumbency and you know of course that's actually very true to crypto because i saw a lot of the echoes of crypto uh in the 2017 period that looked a lot like wireless you know the the idea of adoption was it the realization that you had that these things had network effects that these were kind of metcalfe's law-based networks.
9:25And why was that different to the landline business, which didn't seem to have, or was it still valued in the same way on network effects? Or was it more just straightforward cash flows? Well, the landline business was very mature in the 90s. Have you ever wanted to trade Bitcoin but haven't dared try? With Plus500 Futures, you can trade crypto without the hassle of opening a wallet. With just a few clicks, you can register and start practicing with their free and unlimited demo. See a trading opportunity? You'll be able to trade it in just two clicks. Feel ready? You can move to real money with as little as$100 once your account is approved.
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10:40So penetration was already 100%. And so I think that landline in the burgeoning era, so that would have been like the turn of the 1900s when they were originally laying the cables, was very much a network effects business. Because that landline business was hyper competitive. Because what people were doing in the 1900s was they were laying copper fiber to homes and they were getting contracts with cities to actually put lines in the cities, you know, on these poles. But believe it or not, they weren't monopoly locations. So there were tons and tons of what they call regional operating companies.
11:25And so, even by the 90s, there were still maybe 12 regional telephone companies on top of the bells that were spun out of AT &T, which became a monopoly provider in that early 1900s period. So telephony itself was actually the Wild West in the beginning. And there was this pricing regime called intralata calling. So phone calls, so if you weren't growing up in the States, you won't know this, but like even in the 90s and 80s, if you were calling your friend who lived one lata over, he might only be like literally a five minute drive, but he was in what they call a lata area. It was charged as a long distance call.
12:14So local phone calls were literally based on a lata, what they call intralata calling and interlata was whenever you crossed the lata, which could just be like 10 miles away or could be 30 miles away. You don't have any idea. And of course, cellular compressed all that because cellular suddenly said, like, why should we even charge the difference between local and long distance? So we're now in the early 2000s. You've seen the explosion of mobiles. You've now seen mobile flip over. What's next for you? That was a very successful period for us at covering the wireless industry because it really blossomed from the 90s all the way to the mid-2000s.
12:52But by 2007... Before we do that, we've got the overbuild that happened in the fiber business in the 99, 2000. Let's talk a bit about that because that was obviously a fascinating period that we may or may not be repeating some of the AI stuff right now as well. Yeah, that was a magical time. You're right. And in fact, it wasn't really looking back, It started in 96, and it lasted all the way through 2000. So there were 48 months or four years where anything related to the growth of internet and mobile, and on top of that, of course, there was the emerging market story because they were building communications networks globally, meant everything was going to the moon.
13:41I remember that period, but it was really an extended period where if you found a stock and it could be a random name, but it was doing something interesting, it could go up five times or 10 times in a few months. And I remember that at the time I was at Smith Barney, our salespeople were getting so accustomed to stocks having 300 % upside that if you had a buy recommendation on a stock that only had 20 % upside, they'd be like, come on, Tom, what kind of stock is this? I can make 20 % in a week. And I remembered Smith Barney, we'd have this equity capital markets meeting and trading meeting weekly.
14:27And we would really talk about market behavior. And Smith Barney was unique because they had a very big retail operation on top of institutional. But every time there was a market drawdown, we would hear from the ECM desk and the trading desks how much retail came in and bought that dip. So it was a market where investors were buying the market steadily. And it, of course, did ascend eventually parabolically. And people were using margin debt very aggressively. I remembered many stories from Smith Barney about people who, instead of getting mortgages, were just taking margin loans to buy a house.
15:05And, of course, the stock that they owned would go up. So then the house was free. So that did create a really reinforced period that I think resulted in a bubble. And as much as people kind of harken back and say they've seen it again, in the equity world, it has not been as pervasive. And it's been much shorter. And many people have been too quick to call the top. you know one of the things that happened in that late 90s period and i and you know this is that it destroyed value investors like that was foster freeze um and some other big macro hedge funds tiger julian yeah yeah so i don't want to mention tiger but yes like they famously really got steamrolled because that style of investing value was really getting crushed by momentum and the the reallocation it was really boomer capital into the stock market um and then of course it ran out of steam um i i think that that will happen again um but to me people who are saying today is a bubble is are calling the top so quickly because it was really four years you know i mean that's a long time like that's someone starting their career and making managing director or whatever you know i mean like it's a long time that this bubble uh was really being created in the 90s and how did you then navigate so post bubble we then get the rise of social media and web 2 essentially and all of that how did you how was that lens for you were you still looking at that where were you still at smith barney or i was at jb morgan at the time so i joined jb morgan in uh 1999.
17:00And I was the head of telecom research. I was brought in. And that was very, the post 2000 period was really interesting for, and you're hitting on it, because the bubble burst, and it was a terrible, you know, two year drawdown, maybe almost three years. But two really interesting things happened. One was value stocks actually ascended. So there was an ascent of a new class of stocks that really did well. But then in the middle of the center of where the bubble burst, where huge deflation took place, because all of a sudden fiber prices deflated and service and provisioning prices collapsed, that a new class of tech stocks emerged as winners.
17:53You know, and it was the Ebays and the Expedias because all of a sudden their business models worked because fiber became cheap. And like, yeah, so you had high gross margin businesses. And actually, the winners of the post-internet bubble collapse were internet companies, basically. And that was because all of the capital costs had been written down to essentially zero for the fiber optic network. So now it wasn't a high cost to run an internet business. That's right. And I'm sure you remember in that period, because I was still doing telecom, people said there's so much dark fiber, we're never going to use it.
18:29They said there's unlimited fiber capacity. So people were just giving it away. And of course, now, of course, we've used up all the fiber capacity. And actually, in wireless, wireless had a huge collapse too. But it was a reset of the industry because those stocks ended up providing and producing huge returns for investors as well. So that was after the 3G overbuild, I guess. Well, it wasn't so much of an overbuild as an overcost, because I think it was the UK that first auctioned it off. And then everybody followed suit in Europe, and it basically bankrupted the whole industry. Correct. That's right.
19:11Yeah, wireless, you know, the US government got pretty wise to trying to monetize spectrum. There were really many famous stories in the 90s because I was covering the carriers where I was sent to like an Ohio town. OK, so I'm working for a Solomon Brothers. They're like, can you meet this dentist? And I would go to this town in Ohio. And he, this dentist in the 90s, got a cellular license through lottery. He just applied for it and got it. And he put some towers and was collecting roaming revenues. but he was actually the richest man in the, almost in the entire state, maybe at least in the town, because he was making like something like two or$3 million a month from like a handful of towers.
19:55And he was, he wanted to sell it and these were actually quite valuable. And, you know, the carriers would buy them or, and of course he was fabulously wealthy with all the cash he had just earned over those years. And so the U S realized they don't want to necessarily give the away in lottery and they began to auction them and i'm gonna get the number wrong but i think that they've had like 36 auctions or something since and uh and i keep in touch with some of the people who bought some of the original spectrum wireless spectrum actually has been a very profitable strategy so like it's almost like if someone bought in these auctions and held the annualized return um on the subsequent secondary trades has actually been double digits so um and then there's a very famous sale that was straight path um at &t ended up buying straight path they actually owned a lot of millimeter spectrum millimeter wave spectrum and it was i think it was original windstar but a straight path emerged spun out of us ld and it was like a three dollar stock i remember meeting with them and this is not this is past the cellular era this is probably 2018 and it was a three dollar stock but they owned all its millimeter wave and they talked about how this could be valuable for 5g at &t bought that same company for 240 dollars a share i think maybe like 12 months later so so spectrum has only gone in value gone up in value i've got a great story about um the 3g license auction in the uk and one of the greatest hedge fund investors have ever seen was Lewis Bacon.
21:35I don't know if you obviously knew North Capital, right? So Lewis came on to me the moment the auction came out, because it was like a holy shit moment, because I can't remember how much above estimates, but it was wildly above. And he immediately realized that every European government was going to do the same thing, because this was free money, and that the phone companies were already quite a lot in debt anyway and this was going to become a big issue and he came on to me when i was a goldman and said right i want to short the telcos i mean it was literally within 10 minutes of this and i said well there's no real way of doing he said i want to short the whole sector so at the time there was the dow jones euro stocks um um telco sector so i said okay let's do let's create a swaps market which didn't exist you couldn't trade sectors in europe so i had to build the whole sector derivative trading market in europe based on lewis bacon's trade he sold half a billion dollars in an hour and um it was a fantastic trade because it all collapsed obviously that's almost like the same as tobacco companies having to do a liability burden oh that's right yeah yeah yeah because it carries of course would need have future demands for spectrum yeah so okay so now we're in the mid we're sort of well we've got 2008 to get through as well so how did you navigate that well by then my role had morphed at jp morgan so in 2007 in 2004 jp morgan asked me to take on a second role there so i was um doing wireless carrier research.
23:18But then I also became their head of small and mid-cap strategy. And that was like a bit of a coaching job because they had a lot of young analysts. So I was teaching them stock picking. Just because I, like wireless really lent itself to stock picking because the industry grew exponentially, yet the stocks were very cyclical. So it was really a way to, you know, I always had to understand sentiment. But the second reason I think they gave me that job was during this, the tumult post.com bubble, a lot of wireless carriers were going bankrupt. And I had to work with our DIP lending desk. The DIP lending desk is the desk JP Morgan uses whenever there's distress.
24:08And so they provide financing either in a distress moment or when they're bankrupt. And it actually is one of the most profitable businesses because that's really when they have an edge. And some of the carriers like Leap Wireless fell into dip lending trading. And Jerry Madigan was the trader at the time. He was buying the Leap Wireless bonds and he was buying them at 16 cents. And he started to ask me all these questions about wireless. And we went through and he realized that the spectrum itself may be money good. So he was able to turn that into a LEAP prepackaged reorganization. LEAP, he was paid 127 on his 16.
24:57So he made the firm several hundred million dollars on a trade that should have just, he was just thinking was originally a scalp. And he became a managing director very young. But it inspired me because at that, Around that same time, Eddie Lampert was doing stuff with Sears and then Kmart. And so I realized that there was a lot to this idea that things that were in bankruptcy might actually have value if you could sort of find the right opportunity. So I asked J.P. Morgan if I could write a larger piece. And they had just opened this office in Mumbai, which is a research office of really talented Indians out of Mumbai, but they weren't being utilized.
25:47And so I had them comb through, I think like 4 ,000 bankruptcy filings since the 70s. And we put together all this analysis. And then we wrote a report called The Chapter After Chapter 11, which looked at whether or not money was made on stocks that emerged from bankruptcy. And it turns out like under the right conditions, I don't remember the report. We listed six things that if they happen, then there's a higher probability that you can actually buy the stock as it emerges or you could even buy the stock that never got cancelled like american airlines was one subsequent example like where the equity wasn't cancelled and that became a very popular report because it was a way for people to speculate on something that people weren't previously speculating on so it almost created a new class yeah new class and so that is why they asked me to do small mid-cap research because this was you know there were metals you And there was a lot of hedge funds starting in that space as well.
26:46Yes, that's right. And there were a lot of interesting things, like Imperial Sugar, I remember. Anyway, so I did that for a while. And then in late 07, they asked me if I wanted to take over the role of head of strategy because Abhijit Chakaborty, who was the JPMorgan strategy at the time, had moved to Morgan Stanley. And so that's when they asked me to take on the broader macro role. And at the time, I was actually very skeptical because I was a stock analyst my entire career. So I'm used to going through 10Ks, calling companies, doing roadshows, and really thinking of the world as the bottoms up of companies.
27:32And then they asked me to do something that's very macro. And I always thought strategists really never knew what they were talking about. so um and us macro guys never thought you guys did yeah that's right and so uh i said i would do it and it took me a while to figure it out because you know going from stocks to looking at the market it's a very different skill set because there's no edge you know at least i felt i had edge when i covered companies because i could you know have my own sources do my own channel checks. You can't really do that with equities. But I did that. And I would say it wasn't a great experience because that's really like when the bear market started.
28:16But we found our footing because in 2008, we wrote this report, which was called Guide to stock bottoms part one. And we still get requests for it these days because what we did was we looked at every major bear market since 19, I don't remember, 1918 or something. And we had detailed two things. One was that almost every major bear market is a retracement of the prior bull market. So it's not about time. It's about how much you unwind of the prior gains. And if we took 1929, the Great Depression, or the 74 bear market, those were 125 % retracements of the prior bull. So you have to go unwind the entire gain and then go down even more.
29:11But just using those two prior bear markets, we said the bottom would be 670 to 720 on the S &P. It was what, 666 or something? Yeah, 666. Yeah. And then there's a time, like the bear is a ratio of the prior bull. So the bottom would be, the latest we said would be July 09. So that was our first sort of conclusion. Second conclusion was we listed, and this was kind of just more simple. We took like seven metrics that you saw before bottom and the order. And it was like things like the ISM and employment. But we basically point out that like employment doesn't recover till after the bear market bottom.
29:53So things that happened before bottom have nothing to do with fundamentals. And so we published that report in 08, but then on like February 20th, the S &P fell below whatever the minimum threshold, like it fell to 7.10 or something in February or not. So we turned bullish, which was of course too early because then it went down all the way to 6.66. But it was close enough to the bottom that that actually really gave us a lot of visibility at JP Morgan because we were really one of the first people to actually believe the market had already bottomed in 09. Even as you remember, during the GFC, people thought there was so much ghost inventory that housing wouldn't recover for decades.
30:42And we were in a new normal because rates were so low. But actually, we were just arguing that this would look like a typical bull market recovery. And in retrospect, it was. Yeah, that caught me wildly offside. I mean, I got 2008 really right, 2007 really right. 2009, I just kind of emotionally overrode my business cycle models. by thinking there was a further overhang of debt deflation that was going to. And, you know, even though the ISM was picking up, all of the forward-looking indicators were picking up, a lot of people got caught offside because they got so emotionally charged by what just happened.
31:18Correct. Whether you made money or lost money, kind of caught people out in 2009. Yeah. I mean, something that I kind of remember from that period, and I don't know if you can relate, but I was an equity person my entire career. But in 2008, JP Morgan essentially got taken over by the bond side of the business. So, you know, like our, and they were, these guys were amazing. I wished I understood what they were saying in 07 because Eric Beinstein and Peter Cuvetti and Chris Flanagan were all panicked and freaking out in 07. And so, you know, you obviously caught it, right? I didn't really know how to interpret what they were saying.
31:58But of course, a huge disaster unfolded. But what was interesting is that in 09, the firm was really controlled by the bond side of the business, which had a very structurally negative view about the prospects for a recovery, which of course was good for the bond side of the business anyways. and um so i i think that the stock market got taken over by the bond market basically or macro and and that made people structurally bearish for much of that recovery because the equity investor got wiped out that very episode and then because most of us have been around for 2001 and won then missed all of the tech boom that then happened yeah because they kind of couldn't believe it could happen and it did and then amazon was trading at a p of 800 and everyone's like what the fuck is this and everybody missed it because everyone's so macro focused and just didn't see it yeah yeah that's right so you know it probably helped that i had a technology background.
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33:05Yeah, it did. Yeah. And I understood the importance of sentiment and how people, when in the equity world, when someone gets tired of an idea, even if they're the smartest person, they'll reach a point that just says, get me out at any price. They don't even care. And they'll never revisit the idea. But that's when opportunities create it. you know. So and then I, you know, around 2014, I was, you know, things were going very well at JP Morgan and we were in a good bull market. But I was starting to realize that if if I stayed at JP Morgan, which is a great place, that was going to be my last job ever because I was approaching 15 years there.
33:59And as much as I kind of, I think a lot of people would love the idea, I had always followed entrepreneurs and tech people. So I thought I need to think about starting my own company, which is when I left in 2014 to start Fundstrat. And, but it was based on a small bet, which was that I thought that the non-institutional business would come back. You know, the recovery of equities from 2009 to 2014 was largely institutional trading. There was actually almost a dwindling or an attrition of the retail investor. and um you know in fact you know things like schwab i mean they were trading very poorly and so i i thought that the environment would return that was very akin to the 90s so that's the bet we made when i started funstraft which was really to produce institutional quality research but try to make it available to a wider audience and that's really started playing out by covid i mean we saw a bit of retail participation, but it wasn't really.
35:08But then COVID, it was like the entire millennial cohort became financialized overnight. And we'd all kind of given up that the millennials were ever going to be financialized. We thought they're never going to trade stocks. They hate the whole thing. They grew up with Occupy Wall Street. They've had enough. And then overnight, they just turned it on and it never looked back. I mean, it just exploded. That's right. And you know, that kind of makes sense because as we know, post Great Depression, So let's say you got into the 40s. There were children born during the Great Depression that were becoming adults in their 50s.
35:44And they saw how their parents lost everything because of the stock market. So from 1950 to 1960, for instance, using the Fed flow of funds data, net household allocation to equities was negative. People weren't putting new money into stocks. They were taking it out and putting it to bonds. And bonds were actually having rolling negative performance because yields went from roughly, I don't remember, like 3 % starting level to almost 7 % by the end of the 60s. So they were losing money in their bond portfolio. And there was yield curve control. So this was financial repression. So they're actually losing money in real terms as well.
36:26That's right. And so, of course, guys like Warren Buffett did famously well, but it shows you like there's a generational scar. And I think that post.com Gen X was generationally scarred, which is why hedge funds did very well in the 2000s, but retail investors didn't buy stocks. And then, like you're saying, 2020 is when the first millennials were in their 30s. 1980 yeah so they'd be like in their 30s by that point and they that they're the ones that suddenly discovered equities and they discovered crypto as well which was yes at the same time so give me your crypto story as well where did that come in you know bitcoin actually had come up in several discussions when i was at jp morgan and john normand uh who was the head of fx at the time had had talked about it he wrote several pieces about he wrote one that we had a whole conversation around our firm did, which is that he thought that Bitcoin could become a currency at some point.
37:30Now, I think the network value of Bitcoin was like 20 billion, okay? Which made it like a decent-sized stock. But he was saying that it was obviously mostly for dark web and, you know, illicit purposes. So I didn't think much of it, and I didn't even follow Bitcoin. but then uh we started funstrat and then in 2017 i remember just for some reason i think i saw the price of bitcoin again and i was like whoa this thing just went 10x um in just a few years and so i'm like i've covered stocks enough to know that sometimes when something does a 10x it means there is uh something to it not that it's a bubble like most Most people, I think, tend to think if something's gone up a lot, it's a bubble.
38:24But actually, in the equity world, a lot of times it's actually telling you something's real. Particularly when it's a network. That's the big difference. Networks tend to do this much more consistently. Correct. So with our not great understanding, we did spend about four months doing a research white paper on Bitcoin. It's exactly what you said. First, we found that if you just did a very simple two-factor model, which is the number of wallets and then activity per wallet it explained over 90 of the rise of bitcoin since yeah and it also it's a good approximation for metcalf's law it's the best best way i got of fitting metcalf's law to the network value that's right and then you know we realized that's exactly why social media networks created value because i mean those the idea of like eyeballs and someone being the customer and then because it's free and you sell them out like that was a very new concept So to me, I had already believed in this idea that you could create businesses digitally that didn't start with a factory.
39:27And so we published our first report on Bitcoin. It was around$1 ,000, though. But we said that by using the same two-factor model by 2022, it could be$25 ,000. and that was either saying it was going to be worth 10 % of gold or the number of wallets were going to increase. I don't remember whatever assumptions we used. And then when we published at the time, I did it more as like a thought piece and of course I was advocating for Bitcoin. We recommended 2%, but it wasn't something that we thought we would hang our reputation on, but it created immediate backlash for us with our institutional clients.
40:13who became very angry that we were trying to pitch something that had no tangible value and was clearly just used for buying drugs. So we actually got famously fired by several well-known hedge funds. But then I assumed we were probably onto something because I figured if someone... Yeah, that's right. When you see that reaction, it's probably right. Yeah, because if someone hates it, they haven't done the work. And so now it's almost nine years later, eight years later. And Bitcoin's obviously done really well. It's actually had cycles. And, you know, I mean, you've been involved for a long time, too.
40:58I remember you told me you got involved like in 2014. 2013, yeah. I wrote the first ever macro strategy piece on Bitcoin in 2013. Wow. You know, whatever that was the report John Norman saw. Might have been. Might have been. All the hedge funds, everybody passed it around because it became this thing of like, oh, so I onboarded everybody from Dan Tapiero to Mark Yusko to, I mean, you name it, all the macro people was all because of me. John Burbank, I mean, you name it. I might say that that might have been your report because I don't know why John Norman would have brought up Bitcoin unless it was spinning around his desk, you know?
41:35Maybe it was. So I know we've got a hard stop coming up. So I just want to cover where we are today. So what's your framework for understanding the year ahead next year? Just kind of just give me your data dump of, you know, what are you looking at? What's interesting for you? How the macro plays out or the markets play? I mean, I think the story arcs are pretty bullish right now. I mean, from the shorter lens, this incoming administration, I think, is doing things that look very disruptive at the moment, but I think structurally are really positive because it's a path for U.S. deficit to normalize.
42:15And I think, indeed, I think animal spirits are coming back, even though things like these consumer confidence reports don't show it. And we know that there is tangible drivers of productivity, including AI, in front of us that justify investors allocating capital. And of course, there's still plenty of disruption ahead, including crypto. I think Bitcoin is still our favorite idea for this year. So we think it'll be the best performing asset class, even better than gold. But I think anchoring all of this is a demographic story. I can send you some charts later, but if we look at the number of people aged 30 to 50 in the U.S., that's actually been steadily rising since 2009.
43:11It actually went positive in 2016. 16. And what I mean by that is the number of people age 30 to 50 matters in an economy because they're the ones that are driving both credit consumption, but also productivity, innovation, yeah. And investment. In the end, I think all of macro is just demographics. By the time, if you do enough work, go deep enough down the rabbit hole, the one monster factor of all is basically demographics. And then there's a contrast because as you know, the rest of the world actually has a depletion of population. And so that's creating the demand for AI workers, which is what the US tech companies are producing.
43:52So I think that this does feel like it's going to be a very bullish equity cycle ahead. And that's why we're constructive. And it's been a rough start for this year, but I think we're just sort of getting through some of the kinks and burning off some of the recent bullishness. Yeah, I'm the same. We get the over-optimism optimism about Trump, then we get the correction until we get the actual news story. How are you thinking through, I mean, you and I are obviously thinking through the AI in the same way. We're about to produce infinite workers. AI and robots is infinite human intelligence and infinite humans.
44:29Right? I mean, this completely breaks the economic model. We have no understanding what this is going to do. But let's assume we'll get there whenever that happens. You're starting to even hear Satya Nadella start thinking, and this might be, I want to go back to the psychology of 2000 that many of these people worry about is they're worrying about, have we overbuilt or are we overbuilding data? Are we overbuilding chips? Are we overbuilding? I'm not sure that we're not still underbuilding, but we might be scarred. And I haven't decided, but where do you, where do you think we lie on this? Is this an overbuild and everyone's going to write off a whole bunch of capital or is this still too early to say people who are going to call the top in data center and demand have never really experienced um industrial cycles right because the cycles actually are going to extend until return on invested capital is well past negative and i would be very surprised if we're already reaching that saturation now.
45:35Because we know that any model today would have improved capabilities if you improved computing power or power or capacity. So we aren't even experiencing the negative side of that utility yet. So I think that it actually would still argue that you need to be investing more capital. And I know when you look at percentage of GDP, I mean, look at what happened with China when direct private investment, it got to 40 % of GDP. And that lasted years before you had overcapacity in China. So I don't know how we're even at saturation today in AI, but that's just in broad strokes. So I agree with you. I think there's still a big runway ahead.
46:23And here's something I haven't, I saw somebody make a comment about this and I thought it was interesting, a good one to talk to you about, is we're now starting to see the MAG7, actually doing capital investment, right, which they've never done. They just bought their own shares back. Is that negative or positive in their performance? Economic performance is probably good because capital investment was something we'd been missing for two decades, but no share buybacks or less share buybacks, or does it still generate even more free cash flow that they end up just doing both? Yeah. Well, I think it's highlighting two trends.
47:02One is they didn't do a CapEx, but they did R &D, which until recently was a P &L expense, not a capitalized expense. And so they're supplanting those dollars for capital dollars that become balance sheet assets. In a world of labor shortage, that means you have less OpEx because that's wages, but you'll have more balance sheet intensity because now you have a computer that you're operating. So I think in a world of labor shortage, balance sheet intensity will go up. So it makes sense that these companies are big spenders of CapEx now. But that does create another wave of innovation because cooling and power supply and uninterrupted power and And all these become strategic advantages, which will create another wave of technology innovation.
47:56So I think that there's a lot of opportunity and waves of opportunity being created because of that change that you've just highlighted. Yeah, I think you're right, because it's going to be a game of efficiencies, because the cost of these models is going down fast and the compute is going down, but therefore they can increase output. So it's just this tremendous race to get more efficient at every single component part of that flywheel from energy to chips to compute. Yes. And we've even seen it in the financial industry. The financial industry used to trade labor-intensive, so had a lot of traders and people.
48:37And then they replaced all the traders with computers. But someone naively might have said, well, then financial companies' CapEx will go down because they already have computers trading for them. No, the CapEx intensity and tech intensity of the banks has actually only gone up since then. So that arms race without even AI is consuming more dollars. And that's, of course, I think going to be the case with AI itself. Putting your stock picking hat on, how do you pick through what is going to win in the next few years? Because, yeah, sure, we can, you know, sure, Microsoft will do fine, et cetera, et cetera.
49:15But how do we make money out of this? And it's not very clear yet with AI outside of NVIDIA and a few other stocks how to really make money out of this, out of robotics. A lot of these kind of exponential age technologies, pretty tricky because not much around. There's pretty slim pickings because there's been no IPO market for bloody forever. I've got two simple analogies to share that I think we should be looking for in AI. So we just published a study looking at the wireless fiber boom and when the stocks peaked relative to capital spending. And many people, so let's say it was a 20-year CapEx cycle for fiber and wireless.
49:58The stocks relative to the broad market peaked eight years into the cycle. So in other words, like halfway into the cycle, the market will suddenly say enough capital has flowed into the space that they're market performers. However, in that, like now in retrospect, the 25 year look back, one industry in wireless pulled away from everything. Actually two did. It was the first one is the tower industry. It has produced better returns than handset, chips, carriers, spectrum owners, the towers. And as you know, it's a boring business that grows in a unit with demand. The second, of course, was Apple came along, but in 07, so 13 years into the industry and after the industry's stocks all peaked, Apple came in and essentially gobbled up the economics of the ecosystem.
50:57So I think that in AI, it'll pay to look for the tower equivalent and the next iOS that'll come out on top of everything. But I think the second thing that's going to be important is that you just described it. AI is infinite workers with PhD qualifications. Today? Today. Don't forget, in two years' time. Yeah, it'll be super intelligent, right? Super intelligence, something we've never had before. Correct. And yet these super intelligent entities have to eat pizza. And what I mean by that is like the best performing stock in the last 25 years is Domino's pizza because everybody has to eat. So if you could find the pizza of the AI worker, so that's not the infrastructure.
51:48It's what you have to feed the worker. That's another moneymaker. And I don't know what that is going to be. So I've got two thoughts on that. Obviously, one is the energy flywheel, right? If you're feeding AI, it's going to be probably something to do with the energy mix and how that's delivered and what. And I don't know, again, because the energy grid is going to get reconstructed and changed anyway. The other one that I've come up with is we are so digital now. We're going to become more digital. We don't our roles in whatever a workforce is or the economy is going to change. but tomorrow will be more digital than today that is a fact and that is not going to stop for the rest of our lifetimes so it's going to cause an equal and opposite reaction somewhere within this tangible experiences become premium experiences and you know if you look at the rise of lvmh there's something in that story which is equivalent to your pizza but the luxury pizza somewhere within this is going to be an equal and opposite story that's going to be immensely valuable to us as humans the thing that is the the most non-fungible you know that's right that's exactly right yeah yeah that's a good point because you're right we're we're going to be polluting and corroding so many human experiences especially like with android robots and fake friendships and you know things that get really polluted well i mean look tom we do this now we're so used to doing this on zoom go back 10 years you and i would have had to admit an event or whatever yeah and those experiences matter because they actually form true relationships and stuff and you don't do it this way otherwise yeah in fact i don't know if you know this there's a really someone did an experiment and you should just check this out whenever people shake hands okay and the research study this you 100 percent of time end up smelling your hands because you're trying to detect the pheromones of someone else, but you don't realize you're doing it.
53:52And they said that it's still instinctual that we need to meet in person. Yeah, because pheromone exchange is what we do. And we don't realize it because we see dogs do that and cats do that. We don't realize that we do, but we do. Tom, I know you need to get out of here, but listen, fabulous conversation. I think there's a lot more we can talk about because we didn't really cover much of the future and where it's going. But I just think it's also very important to hear the past because people don't know why you make decisions that you make or why you have the understanding that you have until they understand where you came from.
54:25So thank you for sharing that as well. And I look forward to getting together again at some point soon. Yeah, that'd be great. And probably in person next time, right? Absolutely, my friend. Okay. Take care. Take care. Bye. You know, it's always great to get somebody else's perspective on how to think this through. It's interesting that a lot of people use Tom for like, where do you think the S &P is going with the next three months? But I was more interested in the bigger picture and how to think this all through. And I think it's fascinating. I'll definitely get Tom back to talk more about this stuff in due course and to find the investability side of it.
54:59Because in the end, we all want to make money out of our own disruption. And that's a key part of how to unfuck your future over the coming five years or so before we get to this economic singularity. where nothing makes sense anymore. So it's really important to focus on this stuff, learn from the best in the business, and hopefully I'll bring you something amazing next time too. See you then. Join over 7 ,000 attendees on June 18th to 19th at Super AI Singapore, Asia's largest AI event. East will meet West as industry leaders converge for two unparalleled days exploring the exponential AI age.
55:33Join us to unveil the future of LLMs, the intersection of AI and crypto, robotics, drones, space tech, the societal and economic impact of generative AI, and much more. Get tickets at superai.com with promo code realvision for an exclusive 20 % off, only while tickets last. If you like this episode, I'd love for you to head over to realvision.com forward slash join for a free membership. Start your journey today to unfuck your future. Just one click away. Have you ever wanted to trade Bitcoin but haven't dared try? With Plus500 Futures, you can trade crypto without the hassle of opening a wallet.
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🔥 *Get my FREE PDF report to Unf*ck Your Future:* https://rvtv.io/3YOZZUe. Raoul Pal welcomes Fundstrat Global Advisors co-founder and head of research Tom Lee back to share his financial journey and discuss how the lessons he's learned through previous cycles impact his investing strategies today. Raoul and Tom explore specific strategies for this market cycle, the future impact of AI, how demographic shifts and technological advancements will shape the global economy, and much more. Recorded on February 25, 2025.
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