Get Ready for the Fourth Industrial Revolution

The coming merger of blockchain, AI, IoT and Robotics 

 Ric Edelman: It's Friday, August 4th, and you're listening to the 200th podcast of The Truth about Your Future. I'm Ric Edelman. I want to thank you so much for joining me for these 200 podcasts. After a 32 year career on radio a couple of years ago, we've launched this podcast. We've already hit number 200. Thanks for joining me for all of these and many thanks to our sponsors for their support in making this possible.

Hey, I talked about higher prices and why the cost of stuff is rising. There's one group of people who don't care. They're spending like mad. I'm talking about the world's richest people. Retail sales are down, but spending on luxury goods is up. I'm talking about luxury cars, personal luxury goods, luxury hospitality, fine wines and spirits, gourmet food and fine dining, high end furniture and housewares, Fine art, private jets and yachts. Luxury cruises. Wow. That's a big list. Cars, hospitality and goods. They're 80% of the total and they're growing 21% a year. Most of this is by rich people who are members of the Gen Z and Gen Y population. We're talking about people from their 20s and 30s and 40s. Most of them didn't earn their wealth. They get it from trust funds and the boom in luxury sales. 

It's occurring right here in the US, mostly.

In New York City there's a new hotel. The Aman New York charges $15,000 per night. Even people who aren't rich are spending like they are. There are 400 million people who bought luxury goods last year. We don't have 400 million millionaires. 40% of the people who are spending money on luxury goods are earning less than 50 grand a year. 54% of them are low income and middle income shoppers. They're buying luxury goods. They're not saving for retirement. They're spending it on Gucci handbags. And 21% say they're going to buy even more luxury goods over the next six months.

The owner of the biggest luxury brands in the world is LVMH. They own Tiffany Bulgari, Tag Heuer, Christian Dior, Celine Fendi, Vuitton, Loro Piana, Lowes, Marc Jacobs. And they say their sales are remarkable, that they're reaching record levels of revenue and profits, in particular watches and jewelry. Big momentum.

Luxury is not just high heels anymore either, but sneakers. Gucci has partnered with the North Face. Consumers are now realizing that less is more. They'd rather buy one great item than ten bad ones. Luxury is also now more readily available than ever before. You don't have to go to Fifth Avenue or Rodeo Drive. You can access these products on your mobile phone and on social media sites. In today's world, full of stress. Luxury makes people happy.

Overall, retail is suffering. But luxury goods are doing great. In fact, they're now back to pre-COVID levels or better. Sales of luxury cars are at a record level, half $1 trillion worth of sales. The luxury hospitality market doubled last year. Sales of fine wines up 16%. Gourmet food up 12%. High end furniture up 13%. The art market's up 13%. Sales of private yachts and jets up 18%. Luxury watches, 24%. Jewelry is up 25%. The sales of shoes up 22%.

And what's coming by 2030, the biggest luxury market in the world will be China. It's currently third behind the US and Europe and the biggest buyers of luxury by 2030. People under the age of 40. They will be 80% of the market. And there are new products coming that's going to add $120 billion in annual sales. The new products, the Metaverse and NFTs virtual events, brand-related content such as movies, art and music, secondhand luxury goods and Web 3.0 experiences like virtual stores, digital shopping assistants, ultra-luxury travel and hospitality.

Yeah, there's a lot of problems going on in our world, but those in the luxury markets, they look like they'll be fine.

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Get Ready for the Fourth Industrial Revolution

The coming merger of blockchain, AI, IoT and Robotics

Ric Edelman: In June, I hosted the fifth annual VISION Conference. It was in Austin, presented by my company, the Digital Assets Council of Financial Professionals. DACFP VISION is the longest running Digital Assets Investment conference that's specifically for financial advisors and accredited investors. And at this year's conference, it was our biggest ever, attended by more than 125 financial advisors and investment professionals from all over the country. One of our sessions was The Coming Revolution, the merging of crypto with robotics, the Internet of Things and generative AI. I interviewed Scott Helfstein, the head of Thematic Solutions at Global X ETFs, and Jake Ryan, the Chief investment Officer of Tradecraft Capital. I wanted to share that entire conversation with you here today.

Here it is, unabridged and uncensored.

Ric Edelman: Everybody has been spending time talking about ChatGPT this year, and they've been ignoring the fact that there's going to be a merger of crypto in that. And to help us tackle it, we've got Jake Ryan, the CIO of Tradecraft Capital, and Scott Helfstein, who is the Head of Thematic Solutions for Global X ETFs. Gentlemen, welcome.

So let's start off with you, Scott. At. At Global X, you talk about the fourth industrial revolution. That kind of assumes there have been three before this. So talk about what came first, where we're at now and what how all this intersects with blockchain. 

Scott Helfstein: Sure. So the Industrial Revolution, of course, refers to prior points in history where there has been an acceleration in productivity capabilities. And so we can think back reminiscent of things like the steam engine, the railroad, the modern milling system with replaceable parts. And then there is some debate whether we're actually on the tail end of the third or the fourth, where the third is really digitalization and the use of computers. But we actually think that with the fourth, there is an integration of automation capabilities that goes simply beyond just being able to use the computer, use it for communication, use it for transactions. But in fact, it’s an integration of what I like to think of as automation of the physical, which is robotics and automation of the cognitive, which is where we get into some of the artificial intelligence. 

Ric Edelman: And so, Jake, your position on this is that these economic cycles are driven by technological revolution, so correlate all of that. 

Jake Ryan: You know, a lot of economists have started back in the turn of the century, like Joseph Schumpeter and Nicholas Kondratiev came up with innovation, driving the long wave economic cycle. And it's that 50 or 60 year cycle. Carlota Perez then took that forward and described five different. Uh, long wave cycles In the last 200 years. We had industrialization and then railroads and then electrification and then oils and auto and then the age of information. And I would assert that that is now dead. That that you cannot make money on having specialized knowledge anymore and that we're going to a new long wave cycle, which I call the ‘age of autonomy’. 

Ric Edelman: And that's kind of disconcerting because we all grew up in an in a world where those who had the knowledge had the power. And that was why we went to college, frankly, because you're either going to be a, you know, a bricklayer or you're going to be the person who figures out how to build and manufacture bricks. And if you're saying that that is no longer a value. What then? What replaces it? 

Jake Ryan: Now it'll be the people who can build autonomous operations. So the most important thing that will happen in the next two, three, four decades is being able to build autonomous operations, that is, businesses that can run by themselves. And it's the convergence of four technologies IoT, robotics, AI, and then blockchain or crypto blockchain technology that allows us to generate economic activity without human intervention.

Ric Edelman: That’s the key point. I think we're all familiar with robotics. I think we're all familiar with AI. I'm not convinced everybody is as familiar with IoT, Internet of Things. So let's take a backwards step for a moment and just give us a 30 second to one minute discourse on the Internet of Things, IoT. 

Jake Ryan: I could give you three examples. One might be trying to find a parking spot and having the red or green lights in the parking lots. That makes it so much easier to find a parking spot. Some of us have smart homes where we have refrigerators or lights or things that are connected and able to interact. Or a third might be like a farm precision agriculture, where they're able to get very specific water and very specific things around the farm that they can grow without, without with automation and autonomous activity. 

Scott Helfstein: Can I actually offer just a slightly different, I think, higher level take that's not based off of individual examples? Really, the Internet of Things is the universe of sensors and processors that sit in between the physical world and the digital world. So I talked about automating the physical and automating the cognitive right, and within that it's how does the AI algorithm understand the physical world around it? It does it through this Internet of things, layers that sits in between. And it's really critical. And in a lot of ways it is going to be one of the most important device implementations of the ChatGPT and the AI revolution. 

Ric Edelman: So Jake gave three practical examples of what you've just described conceptually, and I'm glad that you both did that. Really, we're moving toward the Internet of people. You know, we use the Internet to connect ourselves. That's what email is and that's what Facebook and YouTube are to the Internet of Things, meaning the devices are connected to the Internet. So my phone talks to my coffee pot and my car talks to my house, which means whereas I have in my phone and internet address. Pretty soon my television is going to have an Internet address. Oh, wait, it already does because of cable and streaming with Netflix. So there's only 8 billion people on the planet. We each have 2 or 3 Internet addresses typically. But think of all the things in your house. All of them are going to have their own Internet address. We're talking billions upon billions of IP addresses. 

Scott Helfstein: I think there's already something like two Internet of Things connected devices for every person on the planet. So I think we're already at 16 billion and that number is actually expected to grow at something around 15 or 16% for the next seven years or so. So we're going to see a tremendous growth in this space. 

Ric Edelman: So talk about now the connection of things connected to the Internet, which goes back to the point you made earlier, Jake, about autonomous functionality and okay, I kind of get that. Although so far you kind of sound a little like Skynet. 

Jake Ryan: Well, let's bring Buckminster Fuller. His idea of the knowledge doubling curve. Knowledge is doubling. In the 1900s, knowledge was doubling every 400 years. By 1950, knowledge was doubling every 20 years. By 2000, knowledge was doubling every ten years, and by 2020, knowledge was doubling every 13 hours. So we're doubling knowledge every 13 hours right now. How is that how are human beings going to be able to compete?

Ric Edelman: Which is what your point that knowledge is no longer the key to success for humans because there's too much information to become knowledgeable about. We have to rely on these AI systems to do it for us. Yeah. And so before I get to the question about the crypto connection, well, this is a crypto conference, we'll eventually get to that first talk about what that means for us in employment and career and viability in the marketplace. Income earning potential if we are no longer the knowledge base ourselves - talk about how - and where does that take us? 

Jake Ryan: So one of them is the reason why the metaverse will be so significant is that you will have the incentive to make money where jobs in the real world will be going away. We don't need as many software developers anymore. I was a software engineer. We don't need those anymore. Programs are writing themselves and performing. And so we don't need more lawyers. We don't need more radiologists. And so what's going to happen is people are going to move to the metaverse to be able to generate income. And the incentive of being able to make money in participating in a metaverse is going is to drive the metaverse. 

Scott Helfstein: So it is interesting to note that this is coming at a really critical time from a demographic perspective, because while that sounds very doom and gloomy and I'm probably not quite as doom and gloomy as you are in terms of jobs, I think that we've already seen, for example, you know, Amazon keeps their Swat teams on staff to be able to repair their printers because I don't know if people know this, but any book you buy on Amazon hardcover, softcover, whatever it is, it's all printed on the same industrial printers. Amazon prints them. They don't actually buy books from publishers. And so when one of these printers goes down, that costs them a ton of money. So they just have teams of people sitting around waiting to fix one of those printers. And by the way, the FANUC robotics facility outside of Detroit is dark. If you walk on to the floor, there's no lights on because there's no people actually working there. And the robots don't need lights to be building other robots. They can do that. But I'm not as doom and gloom, and here's why. Because in traveling around the country, the biggest complaint, by the way, about the economy that I've heard and by the way, I've been pretty bullish about the economy and I kind of still am, to be honest. But the biggest complaint that I've heard is about labor and getting people that it's not about getting customers, it's not about ensuring there is demand for product or service, it's people. And in the United States, we are going to into a demographic deficit where we will have fewer working age population as a percentage of total population, i.e., if we want to consume the same amount, we better figure out ways to get more productive. And this is not just a US story. Europe, Japan, China, the four largest economies in the world, along with the United States, are all facing a similar demographic challenge. We're going to have fewer workers and we need these technologies to make us more productive. 

Ric Edelman: You know, it's really interesting. You mentioned that we were in a restaurant the other night. We tried to book a reservation at 6:00 and they said, sorry, the earliest we can seat you is 8:30. And did some cajoling, got us in at 6:00. And when we sat down, the restaurant was like virtually empty. There were only a few people at a couple of other tables and we were like you said, we couldn't get a table. What's going on? And we finally concluded it wasn't because the tables were full, it's because they didn't have enough workers. Yeah. To handle the volume. And you're exactly right. In the age wave that you're describing is perpetuating this issue, not to mention the fact how many people really want to work in certain industries. So even if there are workers, they don't want to do that particular job, which is why restaurants are introducing robotic servers. You're using iPads for ordering. And I had a QR code at a restaurant, which is how I paid my bill. Yeah. So automation is helping to replace this whole situation. So it's really fascinating how fast we have to adapt to this. And if you listen to my podcast at all, you know what a big fan I am of Global X ETFs, which is one of the industry leaders in thematic investing. And these three themes, Scott, fall right into your bailiwick of robotics and AI and IoT. Talk about the merging of crypto. How does crypto fit within all of this? 

Scott Helfstein: So rather than crypto, actually what I'd prefer to talk about is blockchain and which I just. 

Ric Edelman: Put under the broad umbrella. 

Scott Helfstein: And so, you know, the way I think about it is really it's about data management. It's a layer in the data management stack. And if we think about the fact we're going to be reliant increasingly on the AI algorithms and on the automation process. How were we securing that data? That's a critical question. For example, we've all played, many of us, I presume in this room, have played with Chat GPT. AI, by the way, was very heartened back in January for the first time in like years. Taylor Swift was supplanted as the top Google search in the United States by Chat GPT. Then of course, I realized that I think it was probably Chat GPT.

Ric Edelman: Who told you that so...

Scott Helfstein: Well, actually my realization. So I felt really good about America in that moment. Then I realized that it was probably all my son's 14 year old friends trying to figure out how to use it to do their homework. So we all know that it “hallucinates”. It comes up with things and integrating information that simply are not right. And so as somebody who produces financial research, I'm not worried yet about getting supplanted because I have to footnote everything for FINRA. And right now, these algorithms do not have that capability. However, blockchain right has the potential to create an auditable system that is transparent, that we can see where the information was being pulled from and that would be a huge advantage. So in sourcing capability and sourcing information, that's huge. As we think about integrating that with robotics, well, especially as robots go into restaurants, they leave auto factories. That's where most robots have been caged up in historically. So as we think about them going out into the world, how do we make sure they're safe? How do we make sure they're getting the right information and how can we audit the commands that they're getting? Well, that offers blockchain offers a solution to that, right? And then the IoT kind of integrates across those two worlds. So I actually do think I mean, it's a little bit the title of this session and it’s a little bit like the Buzzword Bingo. Yeah, right. How many more buzzwords can we throw in? But this integration of the crypto and of the blockchain data layer is really critical for these technologies. 

Ric Edelman: And elaborate on that integration because that's really the key word, isn't it? It's not that I had somebody say, Oh, crypto is dead, it's all about ChatGPT. I'm like, how can one thing that has nothing to do with another thing kill the other thing? I mean, it's just they're all kind of there. So talk about the integration because that's really the element. Are there any other connections to blockchain and crypto broadly? 3D printing, for example? 

Scott Helfstein: 3D printing is a great one. And I think that as we talk about Ethereum and smart contracts and digital information, well, 3D printing, advanced fabrication is really just a file. And it's a file that is digital and is a file that can be uploaded on a printer. And to me, it's a perfect example of how smart contracts can facilitate transaction action in this space. And then it also ensures that the creators, those who are still creating, can get compensated for it, right? And so that is to me. And then and then how you can use different people's works and pull them together. And it's the blockchain system and then the fabrication capability that pulls it all. 

Jake Ryan: Together, open source. You know, the fact that we use open source software is really a key, key distinction because you can audit and see what the software is doing. You have transparency to know what the software is doing. And so the open source aspect of software and all the blockchain projects being open source is a critical component as well. 

Ric Edelman: So where are we in this evolution? You've talked about the fourth Industrial Revolution, Jake and Scott, you've just talked about the integration that is coming, etcetera. But where are we on that, on that journey? Are we where's industrial adoption of this? 

Scott Helfstein: So my colleague John Stack has a line that we're really just sort of laying the transatlantic cable now like we are very, very early on. So if we think about, you know, the earliest iterations of the Internet, that's kind of where we are on the industrial cycle, right? We're much more advanced in robotics. IoT is kind of maybe in the middle of that curve. Ai is taking off and I think the blockchain and crypto element is still even earlier than that. 

Jake Ryan: About ten years. I think we're about ten years into the 50-year cycle. 

Ric Edelman: So ten years in on a 50-year cycle. So is it too early to invest? 

Jake Ryan: No. 

Scott Helfstein: No. What he said. I mean, the way I think about it is the current miners and exchanges. Kind of have a first mover advantage. They have expertise that they are building up that other segments of the economy don't have. I mean, the fact that we're all here and we're talking about crypto, we're talking about blockchain, the fact how much time did we spend today talking about the fact that the government still doesn't know what to do with this? And this isn't right on the crypto side, this isn't brand new. And so you know what I think we kind of need? Quite frankly, we need, like, the Steve Jobs of blockchain. And we need somebody who simplifies, who works it into our lives in a way that it's advantageous and simple and powerful. And we're still sort of waiting for that. And now companies have resources that are going to allow them. And this is why I think even beyond the consumer element of blockchain, that the industrial. Uses of blockchain are powerful because companies are going to be able to access those expert resources, right? Whether it's the McKinsey's of the world, whether it's miners, to help them set up proprietary blockchains for some of these systems. 

Ric Edelman: If they go the proprietary blockchain route, what does that mean for the public chains like bitcoin and Ethereum? 

Scott Helfstein: I think it is important because it's going to build familiarity with the tool and that's one of the things that we're still lacking, right? We talk about Chat GPT was basically the fastest technology to a million users, right? And I think now it's had over 100 million users, right? The fastest technology to scale at that rate and. Just the exposure to whether it's open or its proprietary blockchain technology and the integration into systems, I think helps to helps people to understand and demystify the technology in a way that it will make them more likely to use it and more likely to invest in it. 

Ric Edelman: You share that view, Jake?

Jake Ryan: Well, I think just like intranets and Internet intranets did not really provide that much value. Privatizing does not provide much value. It's the public infrastructure that really provides the value. So the Internet is valuable. Intranets aren't that valuable. 

Ric Edelman: They're just a business tool. 

Jake Ryan: It's a business tool. You don't even think about intranets really anymore. And it's the same thing here. And so I think it's important that we build public financial infrastructure. 

Ric Edelman: But I can also see Scott's point of view that I just look at the JPM coin and that JP Morgan is using to settle transactions. That's clearly a private approach that creates a business value for their company compared to a competitor. 

Jake Ryan: No, it will go that will go away. I don't think that's worth anything. 

Scott Helfstein: So you see where on the financial side, I'm pretty inclined to agree with you. But you talked about autonomous agriculture, Right? And the story there that I love is John Deere, right? Deere, We make tractors. Well, it's also one of the most remarkable technology companies in the world, right? I mean, they have one the automated driving race. You drive around the Midwest and there are tractors in fields because you're not going to hit a three year old chasing a soccer ball in the middle of a corn field. So in the middle of the night. And so these automated tractors are driving around 24 hours a day. There are drones flying over the fields, taking readings of oxygen levels and temperature to identify areas that are not growing the way they should. And supporting all this, by the way, Deere has a proprietary network of satellites, But yes, they make tractors. They are a technology company that happens to make tractors to them. That's the type of organization where the proprietary piece can be valuable, because whether it's the drones, whether it's the tractors, they can be dangerous. Yeah. And so that's why I think that there's going to be a blend of the public and private and it's going to be based on use case, definitely. 

Jake Ryan: I agree. I think it's also important for us to think about crypto and blockchain. I think what really gets missed is the idea of financial capital and production capital. And we don't talk about that enough. And I think it's important for the federal government for people to understand a distinction between production capital and financial capital, like factories or production capital in the age of industry or intellectual property was production capital for the information age. These blockchains, these crypto assets are more production capital than financial capital. And that part is really getting missed if we make the metaverses or the decentralized finance or any of these two-sided marketplaces. If we make those financial capital instead of production capital, we're really limiting ourselves. These aren't just stock tickers. These coins aren't just stock tickers. They do things. They have smart contracts and they do activities. And so many of these coins are two-sided marketplaces. You can think of like an Uber that creates supply and demand.

It's a platform versus a pipeline business. It has supply and demand. It has a marketplace. It brings it in real time. It does it autonomously. And it has a market price that is set, like Uber. Well, we have many coins that do this service for many, many services. It could be like Helium, which allows you to use Internet over radio waves. And they have mining equipment that allows you to generate tokens. If you use your mining equipment to allow radio waves over the Internet. So they have a whole it's a centralized network of Helium miners that's very big. Or the idea of being able to have millions or billions of compute power from phones glued together to be able to deliver the metaverse so you can buy and sell your compute power of your phone. You know, you can rent it out like Render. Render is a token that allows you to glue together tens of millions of phones and computer power and it provides a marketplace for people to do so.

Ric Edelman: So you've just written a new book, Jake which you are providing to everybody here at the conference in your exhibit booth. Talk about the examples you just cited are prominent in your book. Talk about the title of the book, giving everybody an idea of what it's about. 

Jake Ryan: Sure. Crypto Decrypted. It came out about a week ago. It's the second book. A lot of books, talk about the how or the what of crypto and blockchain. And what we wanted to do was to really talk about the why. And so we try to explain why solving a top ten computer science problem, the Byzantine General’s problem, why does that matter to the to the everyday person? Like, why does that matter? We can do something we could never do before now, like for in the digital world. You know, in the real world, if I hand you 20 bucks, I can hand it to you. You have it. I don't have it anymore. It's a bearer instrument. Nobody is surveilling or watching that. Nobody. I don't need permission to hand you a $20 bill. We've never been able to mimic that in the digital world. We've always only had credit cards or bank accounts or a third party, a trusted third party to allow for an economic transaction to occur. Well, with the Byzantine General’s problem, we can now have peer-to-peer transactions occurring without a trusted third party. And that was never possible before. 

Ric Edelman:: And the foreword of your book is particularly well written. 

Jake Ryan: I think you did a pretty good job. 

Ric Edelman: Uh, and Scott, talk about what Global X is doing in this in this whole space, not just in crypto, by the way, but in robotics and AI as well. 

Scott Helfstein: Yeah. So we have probably the most robust product offering out there. And I think about the entire chain upstream, midstream, downstream of this AI robotics revolution. And so it's everything from the software where we've got an artificial one of the first artificial intelligence funds which has big cap and small cap if you want to avoid big cap. There’s also the cloud computing space, which is going to be integrating, that's where most of these AI tools will ultimately be integrated from a productivity standpoint. But then you have processing power and robotics and a product around that Internet of Things and then data centers. Another area where we're going to continue both processing and data compute. And then we also had one of the first blockchain funds. So BKCH sort of rounds out and again, that's where you get the exchanges and the miners, the people that are building the capabilities now. So I'm pretty proud of what we have and I think it's really well positioned. 

Ric Edelman: And you'll find Global X as well as Jake and Tradecraft capital in the exhibit hall next door. Give a round of applause to Scott and Jake. Thank you, gentlemen. That was great. That's Scott Helfstein, the head of Thematic Solutions at Global X ETFs, and Jake Ryan, the chief investment officer of Tradecraft Capital. In coming weeks here on the podcast, I'll be presenting you with additional conversations from the conference. Right now, though, you can check out the photos and other highlights of VISION. It's all on my Facebook, Twitter and Instagram pages.

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Bitcoin 101

Ric Edelman: You've heard of Bitcoin, But what is it? How does it work? Well, I'm going to tell you that Bitcoin is a ledger, that's all. A place where we record income and expenses, assets and debts. Inventory. It's a ledger in the world of Bitcoin. This ledger is called a blockchain. People put data on the ledger. They put data on the blockchain. It's a secure way to store and share data, and you can use these blockchains to store and send money too. That's why it's so popular.

But when people put their information onto the Bitcoin ledger, that data has to get verified. We've got to know that the data there is legit. People all around the world verify the data that's on the Bitcoin blockchain. But why would anybody bother? Why go to the trouble of verifying the transactions? The reason is that they get paid to do so. When you go about verifying the data, you're asked to solve a complex computer algorithm, and if you're the first person to solve that puzzle, you get rewarded. The reward is Bitcoin. There's a new puzzle to solve about every ten minutes, and each of those puzzles gets a reward of six and a quarter bitcoins at $30,000 per Bitcoin. 

That's 187 grand for ten minutes worth of work. Pretty good pay. And that's why so many people engage in this activity. These people are called bitcoin miners. They're trying to find the next bitcoin reward, just like gold miners are trying to find more gold. So now you know what Bitcoin is and how it works. If you want to learn more, read my Amazon number one bestseller, The Truth About Crypto.

And if you want to understand the latest of what's going on in the world of Bitcoin, it's all about a Bitcoin ETF. It doesn't exist in the marketplace yet, but half a dozen of the country's largest asset managers have requested permission from the SEC to launch a Bitcoin ETF.

I've got a special webinar Are You Ready for a Bitcoin ETF? - this coming Tuesday, August 8th, 2 p.m. Eastern. It's free. Sponsored by Bitwise. And we're going to talk with Matt Hogan, the chief investment officer of Bitwise, exactly about these Bitcoin ETF applications. Will the SEC say yes? And what does it mean for bitcoin and your investment portfolio? Join us for this important update about bitcoin and the new Bitcoin ETFs that might be coming to the market very, very soon. 

Ric Edelman: If you like what you're hearing on this podcast, leave a review for The Truth About Your Future on Apple. I read all the reviews. Have a great weekend. 

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