In short
The episode argues that stablecoins and “programmable money” could transform global finance by making dollar value transfer software-like and real-time, and it reframes investing as “dollars are worth less” rather than “assets are worth more.” It also discusses why trust matters in crypto venture investing, how Electric Capital formed, and how prediction markets might reduce misinformation.
Guests
Curtis (co-founder, mentioned as Electric Capital co-founder) and the Electric Capital founder/interviewer (Electric Capital’s early fund founder; background includes startups with an exit to Facebook/Meta; built crypto custody/multi-party computation tooling in 2016–2017; emphasizes hiring engineers over prior investors).
Key claims
Stablecoins will “disappear” as a concept once integrated into apps; USDC/Tether-style yield could move treasury yield to consumers; crypto investment success depends on long-term character/trust; prediction markets can act as “ground truth” but require agreed adjudication/oracles.
Notable examples
Electric Capital’s 2018 accidental fund; avoiding FTX due to perceived misalignment; Coinbase expanding into broader financial services; Polymarket-style prediction markets; GPT-5 vs Google model markets flipping quickly; “Miami billionaire index” and CPI-vs lived-experience inflation debate.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOUnderstanding Dollar Depreciation and its Impact
0:00 to 1:26
Explore how dollar depreciation affects personal finance and perception of wealth.
“Another thought experiment that a lot of people in crypto play is that the U.S.”
The Origins of Electric Capital
1:32 to 2:26
Learn about the founding of Electric Capital and the initial investment challenges.
“We were doing a bunch of personal angel investing and investing into digital assets.”
Building Trust in Investment
2:26 to 2:53
Discuss the importance of trust in managing investments and capital.
“And so we got a fund off the ground in 2018, early 2018, took in some capital from some of those folks and scaled it up.”
Investor Trust and Character
2:53 to 4:40
Delve into how past experiences build investor trust and confidence.
“and I'm willing to put my money with him.”
Long-Term Value vs. Short-Term Gains
4:40 to 6:50
Examine the distinction between long-term value creation and short-term scams.
“Because I think the way that we handled that, we ended up adjusting the cap table to make sure that the investors got a very healthy return on their investment.”
Aligning with Good Character
6:50 to 7:58
Discuss the benefits of aligning with trustworthy individuals versus bad actors.
“I mean, to your point in some sense, a long-term scam is indistinguishable from short-term value creation.”
Investment Trends and Future Opportunities
7:58 to 14:00
Explore how future opportunities in various sectors can be capitalized on.
“But actually in some sense, it's not even an extraction thing.”
The Emergence of Programmable Money
14:00 to 18:02
Learn how stablecoins and digital currency are reshaping global finance.
“and cryptography and tokens and all this stuff, ultimately was the best way to move money around and better than anything else that had ever been invented.”
The Evolution of Financial Institutions
18:02 to 22:26
Explore how financial firms must adapt to new technological infrastructures.
“They'll understand how to move these assets around on chain and tap into these new capital markets to do interesting things.”
Startups vs. Incumbents in Finance
22:26 to 25:56
Understand the competitive landscape between startups and traditional banks.
“both for economic reasons and security reasons, right?”
Show all 26 chapters
The Role of Prediction Markets in Misinformation
25:56 to 28:00
Discover how prediction markets could provide insights into truth and misinformation.
“that the right to win here might be the global capital markets that are on chain, which you could bring to bear into legacy markets.”
Prediction Markets as Policy Tools
28:00 to 29:12
Learn how prediction markets could provide insights into policy effectiveness.
“And so you could see the market kind of flip, right?”
The Future of Crypto in Everyday Transactions
29:12 to 31:06
Understanding how stablecoins will integrate with financial systems by 2030.
“Because everybody agreeing on what the adjudication mechanism is, is it like a particular judge says it?”
The Shift in Capital Markets with Stablecoins
31:06 to 33:18
Explore how stablecoins can transform global capital markets and financial products.
“The yield profile can change now that we have some regulatory clarity in the U.S., where you as a mobile phone app user, could make 4 % because that's the treasury rate, you know, it's north of 4%.”
Impact of Government Debt on Asset Allocation
33:18 to 35:51
Discuss the consequences of government debt and its implications for investors.
“This is why, for example, you're seeing Stripe recently announced they're going to launch their own Layer 1.”
Exploring Paths Forward for Economic Stability
35:51 to 37:52
Identify potential solutions for the U.S. fiscal situation amidst rising debt.
“The dollar is worth far less every year.”
Investing Strategies in a Changing Economy
37:52 to 41:39
Learn about asset classes that can withstand inflation and generate growth.
“I think what that ultimately means, if you buy this sort of, hey, look, where we are is in a fiscally untenable position.”
Inflation Metrics and Real-World Impact
41:39 to 42:05
Understand the discrepancy between reported inflation and consumer experiences.
“and I've had some high-profile guests, I've pushed them on this inflation and they keep on basically pushing me towards the CPI.”
Measuring Economic Realities: A Shift in Perspective
42:05 to 45:51
Explore how current metrics fail to capture the lived experiences of many individuals and the need for new measures of economic wellbeing.
“Well, there's a thing I learned in product development, doing startups and working at Google and Meta, which is sometimes what you'll have is you'll have all your metrics will say one thing.”
The Broken Social Contract: Impacts on Generations
45:51 to 51:06
Discuss the consequences of economic policies on younger generations and how a broken social contract has affected their stability and opportunities.
“And just to steel man, the economist side is there's a lot of independent agencies.”
Challenges of Economic Growth and Policy
51:06 to 56:00
Examine the challenges of economic growth and the need for strategic planning to support a sustainable future.
“Undoubtedly, I worry it doesn't fix the problem for another 10 to 20 percent of the people.”
Reflecting on Early Investment Mistakes
56:00 to 56:50
Learn about the lessons from early investment decisions and the importance of patience.
“And I think there are relatively few mistakes that we could have avoided knowing what we knew at the time.”
The Challenge of Timing in Investments
56:50 to 59:01
Discover how to approach market timings and the risks of trying to predict peaks and troughs.
“I think probably the biggest one is to just be patient.”
The Political Landscape and Market Influence
59:01 to 1:01:23
Explore the interplay between politics and market performance and the implications for investors.
“Every two years, there's an article about how Facebook is overvalued and Google is overvalued and it's all going to crash.”
AI's Role in Economic Growth
1:01:23 to 1:02:32
Understand how AI technologies are reshaping industries and driving economic growth.
“And hopefully we can grow our way out of it.”
Conclusion and Future Conversations
1:02:32 to 1:03:15
Wrap up the discussion with reflections on the ongoing conversation about investment and growth.
“The fact that, you know, so many of the world's leading researchers and leading foundational models are all based in the United States.”
Transcript
Automatic transcript. May contain errors.0:00Another thought experiment that a lot of people in crypto play is that the U.S. dollar has gone down 75 % against Bitcoin over the last several years, 50 % against gold. People like to think in one Bitcoin. One Bitcoin equals one Bitcoin. Tell me about the usefulness of that framework and also is it just a thought experiment? Is it really how investors should be thinking about it?
0:31I think it's a big mental shift for at least it was for me 10 years ago when I first got my head around it, which is it's not that my assets are necessarily worth more. It's that dollars are worth less. I mean, it's empirically true. The dollar is worth far less every year. And I think people are starting to realize it in other sort of intuitive ways and not even capital allocators, but your average person is saying, wait a second, how can I be making$30 an hour now, but I still feel poor? Like I can't buy the stuff that I thought I should be able to buy. When I was a kid, my parents made$30 an hour and we could go to Disneyland and we could buy a house and my dad didn't have to work overtime all the time.
1:05Like, wait a second, what's going on? And so the intuitive light bulb, I think has gone off for a lot of people over the last 20 years or so. And I think especially in the last five or six years, because the rate of inflation, the ability to perceive it sort of kicked in because the rate of inflation that we had. And so from an allocator's perspective, I think it's if you don't understand that it's actually the dollars are depreciating, then I think you're in for some tough times. Welcome to the How to Invest podcast. Good to see you. Thanks for having me. Good to see you as well. So tell me about Electric Capital's very first fund.
1:35It was back in 2018. We kind of accidentally started it. We were doing a bunch of personal angel investing and investing into digital assets. And back in 16, 17, there's no tooling available to do anything with digital assets. So custody, multi-party computation, just like even knowing where your assets were. And so we built some tooling for ourselves to be able to do these things. Some of our friends who are GPs at various venture firms started reaching out and saying, hey, I don't really understand any, what is Bitcoin, what's Ethereum, what are ICOs? That's kind of what was happening in that era.
2:15And people started saying, I don't understand this. It's out of scope for my venture fund. I trust you guys. would you consider taking my money and doing whatever it is you do with your personal assets and doing with our money too? And so we got a fund off the ground in 2018, early 2018, took in some capital from some of those folks and scaled it up. It's interesting you said, I trust you, can you manage our money? I went through a similar thought experience. I saw some crazy returning funds and I'm like, well, in theory, maybe, but it's crypto, people could hide things. I'm going to go with this one fund, which might not be top desk seller, top 5%, but it's, I trust the guy.
2:52I've known him for a while and I'm willing to put my money with him. My own personal hard, hard-earned money with him. Yeah. Yeah. Trust is very important. Fortunately, our funds have been top 1 % funds. So no, it worked out in both dimensions, but no, trust, trust is really important. You know, it's especially with this stuff where, you know, audit and finance and tax and accounting, all these little, the vendors didn't really even exist. Right. So a lot of it was sort of, you had to trust the GPs of these things to make sure they weren't hiding assets, for example. So yeah, there was a huge amount of trust involved when these things were first getting off the ground several years ago.
3:26And we'll get to the story of how you grew to a billion dollars, but obviously a lot of people trusted you to get that kind of scale. Double-click on the reasons why people trusted you, in your opinion. We were known quantities in Silicon Valley. We'd done some startups, we exited a company to Facebook. and so a lot of the first people that came to us had worked with us across uh across those projects and so there's part of it is just you know knowing people and and you know i think people people observing your behavior for long periods of time i think at the very least they know that you're not running away that you live in the area they know you know you have friends here it's you know there's sort of social connectivity that that gets created and that makes it certainly easier when you're dealing with large amounts of money i think the the best signal often too with trust is how have people dealt with similar situations in the past when they've been entrusted with capital and other people's trust and what did they do with it?
4:19And our startup was a small success relative to the scale of Facebook and Meta today. But I think the way that we handled that situation was actually what gave people a lot of trust. So it was some of the people that were investors in that company were the first ones to come to us and say, hey, I trust you guys for this. Because I think the way that we handled that, we ended up adjusting the cap table to make sure that the investors got a very healthy return on their investment. And we ended up, for the employees, adjusting the cap table. So Curtis, my co-founder, and I took a big chunk of it and sort of redistributed it between employees and stuff.
4:55You can only really know somebody's character when you have sort of these kinds of difficult decisions that have to be made, and there's real money at stake. And so I think the way that we handled that was gave people a lot of confidence that we were trustworthy people. when there was x amount of money to divide up you gave from your pocket to somebody else you did it behaviorally not through some virtue signal yeah reveal preference right it's easy to say the thing it's hard to do the thing i also think it's you know after after if it's also it's kind of like dating or it's kind of like any relationship if you're in the relationship for long enough it's it becomes increasingly difficult to hide who you really are you know like all the small things sort of sort of add up um and at the end of the day curtis and i are not money motivated people so it would it would be out of character it would be it would break the pattern for us to somehow just like steal the money and run away with it or hide it it's it's you know that's just not if you know us you know that's not what motivates us it's like we've always been curious about how does this tech work and what can we build here and you know being a little bit contrarian but being right like those those things matter to us a lot more than than a little bit more money and so i think part of it is If you just see how people operate for a while, the sort of revealed preferences will reveal themselves.
6:01Said another way, if you pretend to be a good and honest person your entire life, you will be a good and honest person. If you keep on pretending to be honest, eventually you do become, you're honest through your behavior. I mean, people can run scams for a long time, right? People can appear to be good and honest for many years. And then it flips at some point when there's enough money at stake. But I think... I'm curious to hear your thoughts. So I do think actually it's short-term versus long-term greedy. Obviously, it's good to have a moral view on it, but I find that if you're truly long-term greedy, if you're trying to run this billion-dollar scam, the best way to really do that is to just provide value.
6:40The best way to make a billion dollars through the long-term scam is actually not to scam and to make a billion dollars to providing a lot of value. And I think the people that are scamming are just short-sighted. Yeah, 100%. Yeah. I mean, to your point in some sense, a long-term scam is indistinguishable from short-term value creation. Because the right way to be a long-term scammer is to create short-term value. And then at some point, you've accrued enough goodwill or access or whatever that you can fully scam or exit. The rational perspective on this might not even be scam is like a value-oriented term.
7:11But there's a great blog post or newsletter post from Ben Thompson at Stratechery years ago, probably 10 or 15 years ago, 10 years ago maybe. when Benchmark was suing Uber. And he sort of made the case that even if you're a good actor, from a numbers perspective, if this one outcome was going to be more than the sum of all of your future venture investment, GP carry proceeds, you were probably, rationally, it made sense to sue Uber and try to extract that billion dollars or whatever. Rationally, it made sense. And so it's not even necessarily a value term. You might argue, actually, the value is only going the other direction.
7:51which is like if you truly have some principle, are you willing to forego large amounts of money when it's rationally the right thing to do? That's a much higher bar. But actually in some sense, it's not even an extraction thing. It's just like rationally speaking, that's the right thing to do. It's an interesting thought experiment, which is would you either have misalignment with a very good person or alignment with a very bad person? Neither of them are ideal, but... Yeah, neither is ideal. I obviously would rather be aligned with very good people, but we've thought about this actually. I mean, we, um, this was, this was part of the reason when we've made lots of mistakes over the years, um, in our firm directionally we've been right, which, you know, one big lesson is like, if you're directionally right, all the small things will take care of themselves.
8:30But we, uh, we dodged FTX for this exact reason, actually. Um, like the vibe I got from, from Sam very much was a, like, you will be economically aligned with somebody who does not appear to be, who, you know, in all those conversations, it was pretty clear to us that Sam would make a lot of money. It was unclear if you would make a lot of money, you know? And so it was sort of like exactly that where there, there are definitely been cases where, you know, I've taken leaps of faith. I'm like, look, this like legal agreement is not like bulletproof. This is like a weird situation. There are a lot of edge cases here.
9:10handshake, we're going to do this. And if it's with a good person, it's always worked out well. So lived experiences, the misalignment with a good person is way, way better than contractual or economic alignment with a low character person. Sam's a great example of somebody too smart for their own good. If he was truly smart, he would just build a$100 billion company and make$10 billion and stay out of prison. But it's almost like a compulsion. it's like a character flaw. It's an Achilles heel. He is really smart. He's brilliant. He's good at all these things, but he has this Achilles heel, which he perceives as he's smarter than everybody else, but it's really actually just a weakness.
9:52Yeah. Yeah. It's beyond me. I don't know him well enough to opine on like what sort of ultimately led to that. But yeah, what a missed opportunity. I mean, so speaking of not missed opportunities, I think a lot about this is like, how does the next generation of GPs capitalize on the next generation of opportunities? So most recently it was AI. Some would argue next might be nuclear defense, whatever that next one. It's not only knowing the next wave. And you're actually a great example of this. It's necessary, but not sufficient to call the right shots, but you also need that reputational capital or that right to be one of the people that people will bet on.
10:33So it's not enough to know what to bet on. It's to have that social and political capital that you will get a bet from other parties on. So you can't really build it just in time. You can't just say, oh, hey, hey, hey, everybody, I'm really bullish on nuclear. Here's a 55-page PDF on why nuclear is best. No one's going to give you money because you're on the right to win to make that bet. Yeah, I think that's right. And there are a couple of learnings there, right? One thing I always think about is if you think about companies versus investing, x-axis is time, y-axis is difficulty. Starting a company actually is pretty easy these days.
11:10There's a lot of capital out there. And as you get bigger, it actually gets harder, right? So the curve, for anybody listening, it's sort of exponential up, right? Once you're raising$100 million, it's harder. Once you're raising a billion dollars, it's even harder. There are fewer people who can give you the money, and your competition gets more stiff, right? Like it's, you know, competing against every seed stage startup that's trying to do something is like one degree hard. But man, it's way harder to compete against NVIDIA and Jensen right now. Right. Like how would you even do that? So as you get bigger, it gets harder.
11:38Right. So you kind of go up the X axis and it's up the Y axis and exponential up. Venture is basically like reflected over the Y axis. It's basically the inverse, which is it's basically impossible to start a new venture firm. Like nobody wants to give you money to just invest and you're locked up for 10 years. And why am I going to trust you? And what are you going to do with the money? and are you a good investor? What are my alternatives? I can just buy the NASDAQ and make 14 % a year. But actually, as you get farther along, it gets easier. So the difficulty drops off after a certain point.
12:05And it actually becomes easier to raise. In some sense, raising$500 million is easier than raising your first$10 million. Because you've got a track record, you've got proof points. There are bigger LPs that need to put more capital to work. There are fewer places to put it. The bottleneck becomes, what do you do with the money? All the things work in your favor. And so, yeah, for getting off the ground, it's very, very, very hard as a new investor. And so you have to have something that kind of gets the flywheel going, whether it's personal angel track record, whether it's, hey, you wrote a newsletter, like a lot of great investors have started as writers.
12:36So you write it down and you say, hey, I'm calling my shots. I'm going to tell you what's going to happen. And then if you're consistently right, people start to pay attention and say, hey, maybe you should start putting money behind these bets. Going to an existing platform, proving yourself and then spinning out. There are lots of ways to do it, but they all, I think you're right, they all sort of converge around this idea of, why am I going to trust you? Do you have some sort of track record that I can bet on? It's quite different than startups. In startups, there's a lot of capital available to take a leap of faith and get a$2 million seed round these days.
13:07There's a lot of money slashing around to do that. It's very hard to go raise. Even a$20 million seed stage fund is not easy. I like to put it, the absence of a right to win is no right to win. Or said another way, It's a hyper-competitive market. And if you don't have a very clear way why you have a right to win, you are default dead, to your point, versus startups that are default alive in the beginning, which was not always the case. Going back to when I started, when I first started in 2008, it was incredibly difficult, especially if you're under 30, to raise a seed round. It took us 18 months.
13:42So markets change. You just have to pick your heart and what challenge you're willing to take on. So I want to get back to electric. Tell me about your original thesis for Electric. Yeah, it was actually, well, there's the business thesis and there's the investment thesis. The investment thesis was, our belief was that this infrastructure, distributed systems and cryptography and tokens and all this stuff, ultimately was the best way to move money around and better than anything else that had ever been invented. And what would happen over the next 25 years is it would replace all of the financial plumbing of the world.
14:16it would become the new backbone for fintech it would replace all wall street it would replace all of the capital markets of the world so we wrote a paper in end of 2017 I think I say like November 2017 I have to go back and look internally which was essentially the investment thesis that became electric and we called it programmable money sort of wrote this stack diagram that said look if we think that this base layer that's emerging is a store of value like a Bitcoin or an Ethereum on top of that you're going to get stable coins and on top of that you'll get all of the financial permittance because really like what is all of global finance is just here's a pile of money, here's some rules around who has access to that money here's what I need you to do with the cash flow from this pile of assets over some period of time and we encode that into legal code and into legal documents and that could be software code, there's no reason it couldn't be software code, once money becomes digital it would be software code.
15:11And so that was the core thesis which directionally turned out to be correct I think that's essentially what we've seen happen over the last several years, over the last seven or eight years. And I think we're probably something like seven or eight years into a 20 to 25-year transformation. I think it's just now that Wall Street is starting to figure this out. It's just now that we're getting regulatory clarity in the United States. It's just now that the fintechs, the stripes of the world are saying, wait a second, this is a thing. So I think directionally we're right on that. In parallel, there was a business thesis for the firm, which said, hey, look, if this comes to pass, if we think that the capital markets of the world all move on chain, because this is in fact the best way to move money around, then capital deployment has to change.
15:54And if you look at the history of technology, every time the infrastructure changes, you actually have to change the companies that are built on top of that infrastructure. You have to change the human organization on top of the infrastructure. I'll give you an example. If you look at an e-commerce company, e-commerce companies like Amazon were built very differently than Walmart. The structure of the organization internally is very different. Who reports to whom? Who has power? Who gets paid the most? Who makes the decisions? All these things are different. And when you change the infrastructure, what you have to do is put in charge the people who understand the infrastructure.
16:27And so in a modern software environment, what that means is you have to put engineers and product people in charge because that's who understands the nitty-gritty of the software. and the software is what gives you operating leverage. That's what drives your customer acquisition costs down and that's what drives your LTVs up and that's what drives your gross margin. Everything gets driven through software. And so the people who really understand software need to make all the decisions and you need to put them in charge. So at Amazon, all the engineers run the show. And it took Walmart like 30 years to figure out how to do that.
16:55They just weren't able to do that. And in large part, it was because they just didn't have the right people in charge. And so what we have to do is blow up the human organization and put the right people in charge. And that's very hard. And this is where startups have an advantage. It's like when new infrastructure emerges, the startups are built natively for that infrastructure. And they put the right people in charge, whether it's Darwinian and the market produces what it produces or cognizant founders are saying, hey, I need to put certain people in charge to make certain decisions. Sort of irrelevant.
17:24What ultimately happens is the startups end up winning in that. So we said, hey, wait a second, if these capital markets are all moving on chain, there's no reason that the financial firms should look the same 20 years from now. What's going to happen to the financial firms is what happened to the newspaper companies in the 90s and 2000s, which is there's no longer a local monopoly. They have to compete at global scale. It's going to require a different set of skills. And really, if history is any guide, what you're going to need to do is put the engineers in charge and have them making a bunch of decisions.
17:52And so we said that probably happens to venture capital. And so the best venture capital firms in 2030, many of them will probably have engineering at their core. They'll know how to build stuff. They'll know how to operate on chain. They'll understand how to move these assets around on chain and tap into these new capital markets to do interesting things. And that more or less has also played out. I think we were correct in that. And so, you know, at Electric, we don't hire investors. We just hire engineers. And then it turns out some of the engineers end up having a great commercial instinct and they end up being great investors.
18:23but we actually don't hire anybody with prior investing experience per se. We have like traders or people who have written code for high frequency kind of stuff but not sort of like classically trained. I went to an MBA program where I studied business at Wharton and then I got an internship on Sandhill. We don't have any of those people by design. A lot to unpack there. There's the venture side and then there's the market side. If I subscribe to your thesis that traditional finance, TradFi will be disrupted by crypto. Is the next step essentially mapping out all the TradFi industries and figuring out whether they'll be disrupted, whether they'll cease to exist and kind of doing it piecemeal?
19:05How do you go about kind of mapping the future? Is it based on TradFi or do you just think from first principles, what would people love to do that they're not doing today? A little of both. So some of it is, you know, actually the traditional financial markets have been around for a long time. There's Wall Street, let's say, since World War II. But just broadly speaking, I mean, like banking and accounting, you know, let's say, you know, these sort of basic ledgers go back to like the Medici's, right? So you have several hundred years of, you know, financial thinking that's happened. And so, and, you know, financial people tend to be very creative.
19:42So there's, you know, CLOs and tranching, as we saw in 2008, and, you know, HELOCs. And people have invented really clever instruments that solve all these problems. And so if you think of those things as products, in some sense, TratFi has already created a lot of products. And so you don't need to necessarily reinvent the wheel because those things solve real problems. And so part of it is looking at those things and saying, look, there are payments problems. There are global remittance problems. There are trade factoring and invoicing challenges and money-solving problems. You can start to go through all the big businesses of the world and say, what would this look like if it were software first and on-chain and stable coins moved all the assets around?
20:24I think there will also be entirely new categories of things that emerge. The analog here would be social media was uniquely enabled by the internet. Anybody could now become a content creator. And so many of the biggest outcomes from the internet were things that didn't have an analog in the old world. It wasn't just that newspapers had to be digitized and stores had to be digitized. And you could see those things, right? I still need to buy stuff. That's just an itch that I need to scratch. And hence, Amazon is going to make sense. There are flea markets, so eBay is going to make sense. But some of these new things, like a Twitch, were just sort of a bizarro thing.
20:57Or Twitter is just a bizarro thing. And they ended up being some of the biggest outcomes. And so those are the really interesting ones. And I think things like prediction markets might fall into that. It's sort of been theoretically possible for a long time. but it just didn't make sense. You didn't have enough people to aggregate that you could do this. And the money rails internationally were really hard. Things like NFTs and digital art are like this. I have a print of an NFT behind me. And digital art is sort of a weirdo thing. I'm going to value pixels more than I value the painter who made it.
21:29And it might even be computer generated. Somebody wrote some code to generate the art. And so I think you're starting to see, and that sort of bleeds into digital luxury goods and digital signaling. So I think you get entirely new markets as well that can be shockingly large. But you can get pretty far, I think, as an investor if you just looked at TradFi and you said, what are the big markets in TradFi and how do they move here and who's going to win? You can actually do quite well. And you can see that some of these TradFi markets may just prove to be non-disruptible for some reasons. Maybe they're purely relationship-driven, there's some incumbent advantage, there's some connection to the Federal Reserve, or whatever that reason might be.
22:08good call. I think, you know, unlike information, unlike the media, you know, money is a thing that governments hold very close. And so who has access to print money, who has access to buy treasuries, who has access to put money in banks? What kinds of licensing do you need to perform certain kinds of financial activities? This falls into, you know, in the United States, things like broker dealer or money transmission, you know, licenses or money service businesses, you sort of have these designations because the government really cares about how money moves around. both for economic reasons and security reasons, right?
22:41You don't want to be in a situation where there are nefarious activities happening. You need some sort of oversight over those. So yes, absolutely. There could be regulatory moats. There could be incumbent advantages because the government needs to pick winners. It could be that some of those licenses are difficult to acquire or costly. And so that makes it hard for startups. So yeah, it's entirely possible, I think, in this world that some of the incumbents will survive and potentially do well. and being thoughtful about where those industries are, I think, is important. At the same time, I think you'll see, you know, take the example of somebody like a Coinbase, which is now roughly a$100 billion company,$80 to$100 billion, depending on the day.
23:20You know, they started with this sort of fringe set of things around things like Bitcoin and Ethereum and have since evolved into a full-fledged financial services firm, an institutional-grade financial services firm offering a lot. And it seems inevitable to me, now that they have some derivatives licenses, they're going to move into securities in the same way that Robinhood is moving into crypto. And so I think what you tend to also see is that startups that get to scale start to be able to compete with the incumbents. And so I think some of the incumbents will be fine, but I think the slowest moving incumbents, even the regulatory moats or even sort of those relationships and so on, won't be enough.
23:56Like I think, you know, a very sizable percentage of the incumbents also get disrupted and become irrelevant. it's so interesting to further your point let's say coinbase in five years they have all these aspects maybe they start investment bank focused on fintech because they have this right this tangential right to win then they become one of the top fintech investment banks they go head to head with jp morgan and golden sacks and then they're able to they're able to poach a top fit group and now they're in like financial services and they keep on expanding and at the end of the day kind of they're doing you know consumer retail ipos uh and people are like how did you get there while you do that kind of incrementally every time having a dominant market position and or overpaying for talent in order to kind of incrementally gain market share.
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24:38So it's an interesting backdoor kind of theory. In this specific case, and I think you saw this with media companies, for example, right? Like YouTube being able to back into the music industry. Like, you know, a huge percentage of global music listening happens through YouTube, which is if you have a profit center in one place that generates a bunch of revenue and you have some sort of technological advantage, you can leverage those things to create new value. So it's not even, I'm not saying you were saying this, but some people might say, hey, investment making is zero sum. And I think what you could say is actually, there is going to be a something like$5 trillion global capital market on chain.
25:14There's about$250 billion in stablecoins today. There will be, in my opinion, at least$2.5 trillion, if not$5 trillion worth of dollars on chain. That's an entirely new group of people that can't buy U.S. equities today, right? So if what Coinbase is doing, if you're an IPO issuer, when Coinbase came to you and said, hey, look, we can do all the stuff that the old guys do. We'll take you to Wall Street. We'll get you in front of the banks. You can buy the pop, whatever. We'll also tokenize your stuff and put it on chain. And by the way, there's an extra$2 trillion worth of demand, which otherwise can't buy equities.
25:41And now those guys are going to bid you up, which means that the banks over here all have to pay more. And so now your market cap just went up because you have a new pool of capital. That's a strategic advantage, right? So it's, yes, you have to buy the talent. Yes, you have to have the relationships and all those things. But I think there's an argument that the right to win here might be the global capital markets that are on chain, which you could bring to bear into legacy markets. And if you have the pipeline to those, this is why I think Coinbase doing something like Base, this L2 that they built, Robinhood is now also doing L2, Kraken has done an L2.
26:12All these companies are doing this because what they really want is those global capital flows. They want all of those dollars sitting in their ecosystem because that gives them this fire hose that they can redirect into products. And that gives them leverage, not in a financial sense leverage, but strategic leverage to go in and win in new markets because they can bring an extra trillion dollars of capital markets to bear that Wall Street doesn't know how to access. As are many people, I'm concerned about the political unrest and the amount of fake news on both the right and the left and the amount of misinformation in the market.
26:45Is crypto looking at any kind of incentive mechanism to solve the number of fake information in the market? Yeah, I mean, the sort of hand-wavy answer here would be prediction market, right? It's like, well, if you really believe a thing, then you should be able to put some money behind it. So let's use a concrete example. Like, who's the next Fed governor going to be? Maybe there's some fake news that gets leaked that it's so-and-so. And maybe that's true, maybe it's not. But probably there are people out there that know that it's not true, whether it's the person who wrote the article or somebody who gave that fake news or somebody who knows what the real answer is.
27:19And so what you end up having is these market participants that say, hey, wait, I think I actually might know the answer, or I believe that that's fake news. And so I'm willing to bet that it's somebody else. And so they're putting money behind some other Fed governor. And so prediction markets actually can be a really interesting source of truth. We saw this with, we've seen this now with multiple elections, for example, where the sort of real signal seems to be in that in that zone. You're seeing this with AI models where people will create markets that are like, which company will have the best foundational model based on whatever benchmark scoring mechanisms, evalive mechanisms you want to use by October 1st.
28:01and you'll see after OpenAI launched GPT-5, very temporarily it spiked on those prediction markets that OpenAI would have the best by October 1st and then it actually crashed and Google ran up big time, suggesting that people who knew what the Google model was that was coming knew after playing with GPT-5 for a couple hours, they were like, oh, Google's is going to be way better than this. I already know Google's is better. And so you could see the market kind of flip, right? Like in real time, like in a couple hours it flipped and Google's was number one. And so prediction markets, I think, are actually potentially a really interesting mechanism for this.
28:34Yeah, I love this idea of policy via prediction markets. So the president wants to enact a policy. You could throw it up on the prediction markets and then people could, with their money, bet on it. And then they'll kind of take you to the ground truth on the policy versus kind of just having the different talking heads, essentially actors on TV throwing around different narratives with no skin in the game. Yeah, the hard part ends up being how do you adjudicate this? What is the oracle that you're going to use to say, yes, this is true or not? So we'll use a concrete example here. We just had this sort of like, does Tylenol cause increase the rates of autism?
29:13Yes or no? How would you determine that? Because everybody agreeing on what the adjudication mechanism is, is it like a particular judge says it? Is it that a particular medical journal says it? Is it like, how do you know? What is the final answer here? And agreeing on that, actually, I think ends up being the hard part. The prediction market mechanisms, I think, are fine and easy. It's like, what is the precise mechanism by which we determine the answer is yes or no? That sort of ends up being tricky, I think, in a lot of these cases. So you believe that crypto will be baked into the economy by 2030.
29:47What does that mean? And maybe give me one use case where that happens. What it means is that if you take something like Polymarket and the prediction market world, people don't even think of it as a crypto product. Or, you know, this idea of stable coins, it's just money moving around. People don't think about that as a as a crypto product. And so the, you know, what happens with technology is once it becomes sufficiently useful and sufficiently accessible, it sort of disappears. Like you don't think about it. It just sort of exists. And, you know, this is part of the reason we named the firm Electric, actually, is inspired in part by Electrum, which was the first coined money in the Lydian Empire.
30:23And so it was a technological breakthrough to have denominations of money rather than like, here's a chunk of gold. And now we have to wait and figure out if it's real. But it's also inspired by electricity, which is electricity just baked in everything. We don't think about it. You don't call things like electrical appliances, right? Things just sort of that term is sort of an an acronymistic term at this point. There's a time at which that made sense. because everything's battery-powered. Everything's going to be enabled by electricity. And so our belief was crypto would be that way. I think stablecoins are probably the first place where people will sort of experience this, where money movement just becomes 24-7.
31:02It becomes real-time. It becomes integrated into every application. The yield profile can change now that we have some regulatory clarity in the U.S., where you as a mobile phone app user, could make 4 % because that's the treasury rate, you know, it's north of 4%. So somebody can hold US dollar coins on their phone in their wallet and actually earn yield on it, which, you know, if you go to most banks, you can't, you're going to get, you know, 0.1 % in your savings account. You're kind of getting fleeced by the banks because they turn around and lend it for 7 % to mortgages, you know, or buy treasuries with it.
31:37And so that's their business model. Now, all of a sudden that yield just passes to the end consumer. So these kinds of things, I think, well, you know, you're already seeing on the ground. I mean, Tether has, you know, 100 billion plus. There are some very interesting wallet products out there that have lots of deposits and are passing through yield. Are you bullish on Circle, Tether, stablecoins? Do you think new players will enter? How do you look at that market? Stablecoins are going to be a big unlock for all the global capital markets. Specific companies is tough because there's macro stuff rolled in.
32:07So much of the business model today for a Circle or a Tether is what is the yield on treasuries because they're just sort of sitting on that float. And so as those come down, obviously, that's trickier. At the same time, these are really smart people running these companies. And so Jeremy at Circle, they're building out additional business units. Paulo at Tether has already done that as well. So they're building their own chains. They're building infrastructure. They're building developer platforms. They're investing in other companies. And so do the companies do well? TBD. They're smart guys.
32:37And so they're sort of figuring that out. It reminds me a little bit of back in 17, 18, 19, people used to talk about how Coinbase's margins on the retail side would have to compress. There's no way people would keep paying 1 % to 2 % transaction fees if you compare that to$0 fees on equities or something in a lot of brokerages. And they were right, those fees have compressed over time to a degree. But what Coinbase was able to do was spin up a bunch of other business units using all that revenue. And so the business today is worth 10x what it was worth five years ago. And so the market will be what it will be.
33:10But it's entirely possible, actually, that Circle and Tether figure out what to do here. And they're smart guys, so they very well will. But stablecoins, I think, has a big unlock. It's just all the capital markets will move in this direction. This is why, for example, you're seeing Stripe recently announced they're going to launch their own Layer 1. And they're going to try to rerun, I think, effectively the Libra playbook, which Facebook tried to do this several years ago. And sort of build a consortium of people to come in and sort of snap to a standard around how to move this money around.
33:35because if you've ever dealt with the guts of payment systems, it's pretty gnarly, globally speaking. There's all these edge cases. It's a bunch of it was code written in the 70s and 80s. And sometimes there's bugs that are, in some of these payment systems, there are bugs that actually everybody expects the bug. So actually, if you return the non-buggy answer from your code, people will be upset because it'll break their code. Legacy systems, you end up in really gnarly situations like that. And so this can be like a wholesale rip out of, let's just get rid of the old system and finally, 50 years later, fix it.
34:08People may or may not experience that directly, but I think you're going to see a lot of companies running at this. This is like a plumbing, infrastructure, enterprise, business kind of place to start, I think. In the U.S. at least. Globally speaking, dollar use case is clear. People want dollars. I always joke, we do these brand surveys, like, oh, what's the most well-known brand in the world or most respected brand in the world or most valuable brand in the world. And it's like Apple or Google or something. But I actually think it should be the US dollar because the US, the dollar, like even if you hate the United States of America, you want dollars.
34:45Like, and it doesn't matter where you're in the world, you know dollars. Because the entire world is denominated in dollars. And so anybody that lives in another country that has experienced inflation relative to the dollar would much rather have dollars. It's kind of funny, right? Like stable coins will be this retail phenomenon, I think, globally speaking. and domestically in the United States, very likely it's an enterprise infrastructure business phenomenon more than it is a retail phenomenon, at least to start.
35:12Another thought experiment that a lot of people in crypto play is that the US dollar has gone down 75 % against Bitcoin over the last several years, 50 % against gold. People like to think in one Bitcoin. One Bitcoin equals one Bitcoin. Yeah. Tell me about the usefulness of that framework. And also, is it just a thought experiment? Is it really how investors should be thinking about it? And how should non crypto investors, so let's say you're an institutional investor, you're University of Michigan, and you're trying to get the alpha from that way of thinking, just double click on that and unpack this thought experiment.
35:53Yeah, I mean, I think it's a big mental shift, or at least it was for me, you know, 10 years ago when I first got my head around it, which is, it's not that my assets are necessarily worth more, it's that dollars are worth less. And, and between sort of, you know, money printing and between the fiscal situation in the United States in terms of how much how much money the government needs effectively to operate, therefore creates money printing effectively. money creation, money supply creation. I think it's very much true. I mean, it's empirically true. The dollar is worth far less every year.
36:24And I think, actually, I was looking at some data recently. I think this year may be relative. If you look at the Dixie, the dollar relative to other currencies or other assets, I think maybe one of the worst years on record over the last 70 years. It's a pretty terrible year now. You might argue it was at a high a year ago, yada, yada. But I think people are starting to get their heads around this, that a government that runs 7 % debt load, twice what the socialist countries of the EU are, is unsustainable. And so people are sort of getting their heads around this idea, especially I think post-21.
36:58It sort of clicked for a lot of people that this is an unsustainable path. And I think people are starting to realize it in other sort of intuitive ways, like not even capital allocators, but your average person is saying, wait a second, how can I be making$30 an hour now, but I still feel poor? like I can't buy the stuff that I thought I should be able to buy when I was a kid my parents made$30 an hour and we could go to Disneyland and we could buy a house and my dad didn't have to work overtime all the time like wait a second what's going on and so like the intuitive light bulb I think has gone off for a lot of people um over the last 20 you know 20 years or so I think especially in the last five or six years because the rate of inflation the you know the people's ability to perceive it sort of kicked in um because the rate of inflation that we had And so from an allocator's perspective, I think it's if you if you don't understand that it's actually the dollars are depreciating, then, you know, I think I think you're in, you know, in for some tough times.
37:53I think what that ultimately means, if you buy this sort of, hey, look, where we are is in a fiscally untenable position. I think we have to think is what are the paths forward? I think there's four paths forward. Path one is you somehow fix the spending, right? You cut entitlements, you change the retirement age, you somehow fix Medicare and Medicaid. And the reality is it's really hard to do that. And you have to pick some winners and losers. And I don't think there's any political will to actually do that. It's just that it's not politically tenable to actually cut spending. Option two is that you somehow raise taxes to cover these deficits and the debt.
38:34And the reality is there's no political will to do that. option three is what we have been doing which is basically print your way out of it just currency debasement that's actually politically the most palatable because no no one person has to take the fall for it and it kind of feels good because the stock market kind of keeps printing all-time highs and so the number is going up so people feel good but it's it's politically palatable but it's actually like long-term has real consequences this exacerbates wealth inequality for example because if you have assets you're doing fine if you don't have assets you're kind of screwed um so that's option three and then option four is you grow your way out of it which is you know you you hope that ai productivity happens and all this infrastructure spending actually turns into something real and so if you assume that like there's no political will to actually solve these problems meaningfully then really option three and option four are the only paths forward from here and if you believe that as a capital allocator i think you have to do two things you have to say look i need to allocate a significant portion of my assets towards things that are fixed supply, that are hard to replicate, that the government will have a difficult time creating more of, that is hard to seize.
39:41And that pushes you towards things like gold, that pushes you towards Bitcoin and Ethereum, that pushes you towards the California coastline. The government can't create more California coastline. It's just there's a fixed supply there. So I think it sort of reshifts how people think about their assets. And then in category four, it's what are the high growth things? What are things that can have a yield and have a return profile compounding return profile that outstrips all this inflation and debasement and the potential significant inflation that's downstream of all these things. And so you have to be in high growth tech.
40:15That's the only thing that can grow 30, 40, 50 % a year plus. And so at a portfolio level, you can compound at a rate that you can outstrip all of this stuff. And so I think you end up in a very barbell situation. Like I think you end up with a lot of fixed supply assets and I think you end up with a lot of high growth tech. I think a lot of other stuff just gets crushed. I think government debt, government bonds, a lot of private credit, a lot of private equity that's not high growth, things that are compounding 15 % a year. That's just not enough, in my opinion, to really be high growth. So I think it actually, for people who understand what's happening on the backdrop, I think most capital allocators, I suspect, are very under-allocated to these fixed supply assets, especially the novel ones.
41:02where most of the capital markets have not figured out that they need exposure. And they're probably under-allocated high-growth tech. I'll also throw some things. Commodities, equities, as you mentioned, real estate, whether California coastline. I have a whole thesis on Miami high-end real estate and Miami Beach high-end real estate. I think that's kind of almost an index to billionaires. You also have sports teams, which are these essentially NFTs for billionaires. which essentially has played out over the last 10 years. One thing that I'm still trying to swear, frankly, and I've had some high-profile guests, I've pushed them on this inflation and they keep on basically pushing me towards the CPI.
41:46So CPI last 12 months, 2.9%. If you take away food and energy, 3.1%. But if you look in terms of ground truth, what is getting more expensive? That is more or less reflective of goods. Now you could say real estate and other assets have grown faster. But how do you reconcile the purchasing power only going down by 3 % versus what people in crypto will say, true inflation is 7 % or 10 %? Reconcile that for me. Yeah. Well, there's a thing I learned in product development, doing startups and working at Google and Meta, which is sometimes what you'll have is you'll have all your metrics will say one thing.
42:27and then if you go talk to a bunch of users, they'll say something different, right? And so if all of your metrics say, oh yeah, our users really, really trust us and then you go talk to 100 users and all of them say, yeah, we don't really trust you, the answer is not that the users are wrong. The answer is that you're not measuring the right thing. And I think that's basically what's happening with inflation. Like, yeah, you can look at some CPI metrics, you can argue over the minutia of when we changed how these things are measured in the 70s or 80s or whatever that we changed it. That's all minutia.
42:59I look at, wait a second, what are people on the ground saying? And if a lot of people on the ground are saying, I can't afford the quality of life that my parents had, I can't buy a house, I'm choosing not to have kids. Like that is the data point that the users are telling you that you're measuring the wrong thing. So I think we're just measuring the wrong things. And the kinds of things we should be measuring are like, you know, what percentage of people under 30 are married? What percentage of people under 30 own homes? You know, what is the debt load that we put on our young people? You know, who is doing the spending?
43:36So like you were talking about the, you know, Miami Real Estate Billionaire Index. I saw some data that showed that like half of consumer spending is now the top 10 % of Americans, right? Which is really bad. That means like there's a lot of people who can't afford to spend anything right now. And or the people who have a lot of money can afford to spend a lot and everybody else can't keep up. So there are all these other measures that I think you'd look at that sort of map to the lived experience of a lot of people, which suggests to me that we need to be measuring other things. And so I sort of fall into the camp of, I think we're probably measuring the wrong things.
44:08Like, I think CPI is probably not an accurate measure of what's actually the lived experience of most people. And it's sort of a wonky economist like, oh, but it does. And my take on that is no. If you go talk to 128-year-olds and they're telling you that something is broken, then probably something is broken and we need to be changing what we measure. That's what any good product company would do. Any good product manager who's built products would tell you that if that is the experience, you're talking to users and the users are saying something is broken, I'm not happy. And all of your metrics say, well, my metrics say you should be happy.
44:44That means you're not measuring. the finance equivalent. It's not in the spreadsheets. I think there's elements to that too, which are really hard to quantify. And you're starting to see it play out, which is it's hard to know what's moving it, but you can feel it. I'll give you a concrete example. If you have a lot of people on the ground, if you have young people saying, I'm not going to get married, I'm not going to have kids, I can't afford to buy a house, then something upstream is broken. And so the question I would have for the economist or the Fed or whoever is like, what should we be measuring?
45:18If we're seeing the output, like what the question here really is like, what are the inputs? Because we know what the outputs are. And the outputs are people having fewer kids, we know that the outputs are fewer young people own homes, we know that the debt load on young people has gone up. And so like, if those are the outputs, what are the inputs that would tell us that these things that we think are important, right, people getting married and having kids and owning homes and feeling stable and feeling optimistic about the future, like all of these things, you know, are the outputs. And so what are the inputs that we should be measuring?
45:43Because it's probably not what we're measuring right now. I've given a lot of thoughts to this because I hear both perspectives. And just to steel man, the economist side is there's a lot of independent agencies. There's different universities. It definitely is not this global conspiracy where there's these 10 people at a table deciding that CPI to price it low. There are independent actors, so there's no conspiracy there. But I think it's, if you look at spend and housing is a big spend, and I think it really just comes down to real estate has appreciated higher than wages and interest rates are high.
46:21So you can't really, you know, borrow your way into it. I think that's kind of the back of the napkin explanation. Then all the other expenses beyond real estate are kind of maybe they're growing at this 3%, but real estate is, that's kind of my best explanation. It's not very scientific, but I think there's some confluence of factors that are driving. And also I think people want to live in cities. They don't want to live in the suburbs where the prices might be a fifth of a price and they could actually afford to have their home. I think there's all sorts of things being confluence of factors going into that.
46:53The real estate thing is a big thing. I think the move towards cities is a thing because then you need enough housing for those people. That is sort of a downstream effect, I think, of economic and tax policy, right? It's like, where have we enabled job creation? Now that we're 30 years into the creation of the internet, how are we not given more thought to how to take some of that and make sure that it's not just, you know, 10 zip codes in the Bay Area, the benefit? How do we really make sure that those benefits are, you know, available in other places? How do we make sure that, you know, high skill manufacturing doesn't leave the United States because those jobs would be created in some of these other places that have a lot of land that's cheap and build up big factories?
47:32I think housing is a big part of it. I think there are other sort of like economic policy and geopolitical things that have been just abject failures for the last 30 years. I think there are like tax policy things that have been just abject failures for 30 years. I think there is this sort of, you know, lie that we told a bunch of people that you should go to college and just get any degree, which has not been true for, you know, 20 years. And so all these people took on a bunch of debt. And, you know, the sort of the way that government financing worked on these, you sort of gave these people a bunch of debt, which is really bad.
48:04So just like poor economic decision making, planning and guidance being given to a bunch of people and market forces taking over at that point with low quality education. I think you're right. I think it's a big part of it. I think there are other things that are big parts of it, too, which lead to the intangible. So that's, you know, it's hard to measure that. It's like, what is it? I'll give, I'll give you a, there's, there's a, I grew up in the Midwest. I grew up in Kentucky and Ohio. And so what I think about is if you do the back of the envelope math, right? Let's say you were born in 1982 to 18 in the year 2000.
48:36Right. And you did what you were raised to do. Like as a good Midwestern American, you know, young man, like, let's say you did the right thing. you went to church every weekend you like you're a good member of your community 9-11 happens so you signed up for the military so what do we do we like ship you off to like iraq and afghanistan you know who knows what you had to do there maybe you learned some skills maybe picked up some ptsd you come back and uh you didn't go to college yet right you're like 18 or 19 when you shipped off maybe 20 and so maybe try to go to college for a few years pick up some skills or or maybe you go work in construction for a few years after you're back from your four-year tour duty and like two or three years into that you get 2008 so you get a crash and so now all the construction jobs are gone and uh you didn't finish your education if you try to get an education get out maybe the job market kind of sucked for a few years and so now it's you know you're you know in 2012 ish like the market's been kind of up and down for you don't you didn't accrue any assets you didn't have any money you didn't get to participate in the stock market boom after the internet came back in 2005 because you were too young and so now now you're like 30 maybe you have a kid what are you going to do?
49:41Like, you're going to go back to school? How are you going to like, who's paying for the childcare? Who's taking care of your kid or your kids? Um, and your spouse is probably in a similar situation. And so now those people are like 40 or 42, 44. Like, what do you do with this entire generation of people that basically did what they were supposed to do, right? They went to high school, they like tried to get a college education, they signed up for the military and got shipped off for four year tour duty and like good upstanding people. But now they're 40 and they don't have any assets. And this is like a non-trivial portion of the population.
50:10And so even if you fixed housing, like I don't think you would capture the fact that a lot of what the social contract was for these people, the government kind of broke the contract. Like society kind of broke the contract with those people. And those are the people that I worry about. Like even if you fixed housing, I think there's like 10, 20 % of the population that's now stuck in this situation. and we don't really have a plan to get those people out of that situation we haven't for the last 20 years right it's not this is like not a new thing it's like even if we built all the housing we wanted like what gets those people out of that situation and so that's why i think you need the like okay well what is like the economic plan what is what is like the strategic plan to get high-skilled manufacturing or to have solar manufacturing in the states or to have battery tech back or have you know robots or whatever it's going to be like i think without that it's um And you're going to, I think maybe a succinct way to put it is I think if you fix the housing thing, I think you would help a lot of people.
51:07Undoubtedly, I worry it doesn't fix the problem for another 10 to 20 percent of the people. And those are actually we need to bring those people along, too. It's a big part of the doom loop that we're in if we don't fix it, which is because then those are the people that are on Medicare and Medicaid. Right. Because they got messed up in Iraq and, you know, they're on disability. or you know those those are unfortunately people that if you got the PTSD then like some company was pushing opioids on you and so you ended up with like an opioid addiction and now you're fucked for the last you know 10 years and so now you're on you know disability and so all these things I think are like very very tied as a country I think we let a lot of people down and so we let a lot of hard-working middle-class kinds of people down with with the housing situation that we put a lot of young people into and i think we let a lot of um what what would have been otherwise middle class people down because we we took away the blue collar path to the middle class and we kind of fucked those people for the last 20 years um and that that's you know that's like now the undercurrent because that's what creates the fiscal spending right it's like if you have all these people on government programs like that's what's creating the problem and so i don't think we can like fix the government spending fiscal situation that we're in and the money printing situation we're in without like addressing the underlying thing which goes back to what you were talking about which is like well if everybody's saying i have a problem and and the inflation is not showing that we have a problem do we have a problem and my assertion would be like the inflation doesn't capture any of that the inflation doesn't capture the fact that we put all you know got all these people on opioids and we put all these people into a war situation and came back with ptsd and now all these people are 40 and so like what do we do with that population people and i don't think that none of that in my opinion is captured in the cpi metrics yeah that's heavy what are some policy prescriptions ai might be the way out right between ai and robotics we have a shot um we need to build like giant energy plants we got to get like you know nuclear reactors built we got to figure out how to like build you know data centers in all these places we got to figure out how to get robots so that we can actually as all these people get old we'll have robots to help take care of people and everybody can have a personal doctor right and so there's there's a lot of building to do we need like a proper national strategic plan to go do these things because these are the kinds of things that a good government could do and these are sort of beyond the scope of any one capital allocator like i think we can all kind of do our part and say hey look high growth tech if done well means everybody gets a teacher everybody gets a doctor everybody gets a robot in their home to help them you know as they age this will be awesome and so like as a vc i can invest in that stuff um but without like a comprehensive of government plan to think about how to incentivize the right sorts of behaviors, it's very hard.
53:49You're swimming against the current. We saw this with digital assets. Between 2020 and 2024, it was just swimming against the current. And it's so much easier now that the SEC is like, okay, let's be reasonable about this. And the CFTC is saying, okay, let's be reasonable about this. It's just night and day in terms of company formation, founders. Do you think that created anti-fragility? Did that make that wave of companies stronger, having to deal with Gary Gensler and the previous SEC. Do you think that made them better? Yeah, it's an interesting thing. I think it did, but it had some other consequences, so it certainly did.
54:21I think Coinbase is a much stronger company as a result of having to deal with that. But what it also did was it pushed a bunch of jobs overseas because there was too much risk to being in the United States. It created the FTX situation because what you got was people who moved to the Bahamas and there was no U.S. oversight. And so all of a sudden, you had all these people who looked like they were an American company back to your sort of opening around trust. A lot of people trusted FTX because it looked like an American company, but they didn't realize it wasn't an American company. There's no American oversight, right?
54:49It was in the Bahamas. And so what you get are these like systemic issues where you've actually like hidden a bunch of risk. You know, you're actually gambling with your trust and the brand of the United States. You pushed a bunch of technical development overseas. So essentially you're subsidizing technical development in other markets because of this policy. so it did make companies that survived stronger but but net net i think it was negative because you all these other externalities right like like as a vc let's say i give money to a company right and that company in this space says okay i'm a really talented founder i have a phd from stanford in cryptography i'm gonna start a company but if they take half those dollars and hire a bunch of people in in southeast asia because they're worried that the government here is going to try to shut them off and they need resilience in their business and business doesn't get shut down what you essentially just did was took millions of dollars and trained a bunch of people in Southeast Asia how to become really good cryptographers, right?
55:42Which is like the opposite of what a good economic policy would do. A good economic policy would say, wait a second, this is like important technological development. Let's not subsidize the creation of expertise overseas. We should be creating that expertise domestically, right? And so I think the externalities actually outweighed the sort of anti-fragility. going back to 2018 you start out with a 15 million dollar fund you now have over a billion AUM what is one piece of advice that you would have given the younger version of yourself in 2018 that would have either accelerated your success or helped you avoid mistakes that's a good question i i don't know if there's it's sort of two forms of that question you know one one from the question is like what are the mistakes that you could have avoided.
56:32And I think there are relatively few mistakes that we could have avoided knowing what we knew at the time. You know, it's sort of like a bad mistake is like, if you knew everything you knew at the time, and you should have made a different decision, then that's a bad mistake. If you sort of like given all the information you had, you probably would have made the same call, then that was the right mistake. That was an okay mistake. You can learn from it. I think probably the biggest one is to just be patient. I think the hard part, especially when you're early in the investment career development is, you know, these theses can take years to play out.
57:04And so you can be directionally right. And it's kind of working. And it just will take a couple of years to really fully prove out. And if you're willing to be patient, then you can make really long term minded decisions. It's a sort of a luxury now that we have that we have a brand and people know us, we have a great LP base that trusts us and so on, that we can just say no to a bunch of stuff. um and i think you know it's easier it's just because because you know if um you're willing to be patient you have you have the luxury of willing to be patient um whereas i think when i go back to like 1920 21 i think there was a lot of sort of fomoing going on and i think we ended up investing mostly in very good companies we just ended up paying too much for some of them.
57:48And so as a result, in retrospect, I think we could have said, hey, we just won't make some of these investments. And it'll be really painful because we won't be involved with some good stuff. But from an investment perspective, we won't overpay. Unpack why it's easier to be patient. So you have higher status, you have more management fees, you have less scarcity and more reputation. Or why is it easier to be patient today? All of the above. I think for venture, in particular, I think a big part of it is that you can't be out of the game for long enough. Like if you're not in the flow, if you're not in the conversation, if you're not top of mind, then when the market does turn, whenever that may be, you're not going to be one of the ones that people are coming to because you didn't do the last four investments or the last six times that those founders came to you, you just keep saying no.
58:40And so you're sort of swimming against the current a little bit if you sort of sit it out for too long. And so you have to be really careful about where you're still in the game. Maybe to reframe that beta during frothy markets is the price you pay for alpha in good markets? I think there's some truth to that. I think there's also a how do you call the top question? There are people who have been calling the top since 2012. They're like, oh, it's over. It's over. Tech is frothy. Every two years, there's an article about how Facebook is overvalued and Google is overvalued and it's all going to crash.
59:12If you took that approach rather than a, you know what, I don't know when the top is, I don't know when the bottom is. There's good companies all the time. And if you get the NVIDIA of that cycle, nothing else matters. And so I'm just going to be slow and steady. If you try to time it, then you may have sat out 2012 to 2020, which was like an epic, epic window to be investing. Even though for many years, 16, 17, 18, 19, 20, people were calling tops. They're like, this is zero interest rates, ZERP, bad, bad, bad, bad. But actually, there's some great companies created between 16 and 20 in the ZERP So I've been spending my time more with politicians, not because I'm getting more political.
59:47I just think that it's underpriced. So I don't think macro investors do a good job pricing in politics. One of the things that's very obvious to lobbyists, politicians, all these people, is how the power of incumbency. So something like 95 % of incumbents win in Congress every single two years. And the reason for that is they make these policies that make it easier for incumbents, Democrats and Republicans to win. And one of those gauges is the stock market. So there's this interesting idea that incumbents will never allow the stock market to be down for more than a two-year cycle. Essentially, the negative aspect is they're going to inflate that away.
1:00:26It's not only the Fed that has the Fed, but it's also the government and the president that's buttressing these assets. You want to ride the up wave, and also when there's a down wave, there's a good chance it'll be temporary because of this kind of pressure from incumbents to buoy the market. Yeah, I agree with that. Hence the money printing, hence the debasement of currency. Because the politically expedient thing to do, unfortunately, is to not have a five-year, let's fix the market. And then to gaslight the public into their perception that things are getting more expensive. It's just the way the election cycles work.
1:01:03It's just that's not the politically viable option. And so that's not what's going to happen. And so, yeah, you know, and I think the other thing I worry about with that, too, is, you know, it's true until it's not. Right. And so at what point does that does that break? And hopefully it doesn't break. Hopefully, you know, we have a long, long way to go and we can manage it. And hopefully we can grow our way out of it. You know, like all these problems go away if you can grow your GDP at three and a half percent a year. If you can manage to grow 3 % a year instead of 1.5 % a year, most of these problems just kind of go away, in my opinion.
1:01:35You can actually pay your debts, you can service the cost, you can pay for your old people, everything that works. The most bullish factor I see in AI specifically is that it's not just that the early adopters are lowering down their costs. You have this kind of seed-strapping idea where at Henry Shee, who runs the AI startup leaderboard, where you have these two, three-people teams making it to unicorns. You have that. But it's also on the revenue side. So a lot of people think it's just lowering costs. But now if your three salespeople could do the work of 30 sales people, you're also able to scale more on the revenue side.
1:02:08So you're both lowering costs, increasing revenue. So it's a pretty bullish, at least early signal. And it doesn't seem like AI is limited to technology in any way. It seems nobody has really found a limit to AI, even within the commodity space in terms of like order flow and all these things that's disrupting and helping that. So that is my bullish case. Yeah, I think we have a real shot. The fact that, you know, so many of the world's leading researchers and leading foundational models are all based in the United States. You know, the Chinese ecosystem is doing some great work, too. But yeah, the U.S.
1:02:46has a real shot here. And, you know, there's a lot of building to do. I think even if you said it's just a pure software layer, it's just the infrastructure spend that's going to be required to build data centers and power and just the plumbing to make all this stuff work, I think is a potential economic boom. I think if we could rejuvenate some of these communities that have been left behind, I think you might fix a lot of these problems. Growth is the best way out. Well, Avichal, we only got to a third of my questions. We've got to run this back soon. Thanks so much. Really enjoyed it. Looking forward to continuing this conversation live.
1:03:18Likewise. Thank you. Thanks, Avichal. Thanks for listening to my conversation. If you enjoyed this episode, please share with a friend. This helps us grow. Also provides the very best feedback when we review the episode's analytics. Thank you for your support.
From the publisher
What happens when an investor treats crypto like software infrastructure, not speculation?
In this episode, I sit down with Avichal Garg, Co-Founder and Managing Partner of Electric Capital, to unpack the evolution of crypto investing—from speculative hype cycles to infrastructure that powers the next era of the internet.
Avichal explains how Electric Capital measures developer activity across blockchain ecosystems, why he believes the next trillion-dollar opportunities are being built quietly by open-source engineers, and how software-based incentives will transform everything from finance to governance.
We discuss the reality of investing through crypto winters, the rise of modular blockchains, the lessons learned from building at Google and Facebook, and how AI and decentralization are beginning to converge.




