The last time this pattern happened, a lot of people became millionaires, while everybody else laughed at them. In the 1990s, people said the internet would never work. In the early 2000s, they said nobody would ever buy things online. Today Amazon is the king of retail and Sears is bankrupt. Right now we're seeing that exact same pattern with artificial intelligence, and most people are making the same mistake. The difference is this time the opportunity is bigger, much bigger. Because AI isn't just one industry, it's an entire ecosystem with multiple layers of wealth creation that most investors don't even know exist. In this video, I'm going to show you why AI is following the exact same millionaire-making pattern, the hidden layers of opportunity that World Suit is quietly positioning for, and how you can think about positioning yourself before the next wave hits. Now, this is not financial advice, I'm not telling you what to buy, but I'm going to share with you my research. I'm going to share with you what I learned as an ex-investor banker who's seen how this has played out before. And I'm also somebody who teaches people. I'm the founder of the GOAT Academy, where we have over 20,000 students. I'm also the co-founder of TradeVision.io, where we make Wall Street News available to you like that. And I'm literally dedicating my retirement to help everyday investors understand the same strategies that the big players miss. That's our mission here. Very simple. Give you the same information and the same thinking tools that Wall Street uses so you can make informed decisions about your financial future. Not to tell you what to buy, but to show you how to think. And what I'm about to share with you isn't hype. It's backed by billions of dollars of actual spending, real technology being deployed, and verified data. It's about understanding a shift that's already happening. Whether you're paying attention or not. If you're not hooked yet, here it is. History is repeating. Every major tech shift has followed the same pattern. Let me take you back to November 30th, 2022. Chat GPT launches, and within five days it had a million users. Within two months, it had a hundred million users. That's faster than TikTok, faster than Instagram. But here is what's fascinating. This isn't actually new. In the 1990s, mainstream media asked, what about this internet thing? With skepticism dropping from their voices. They said it was a fad, it was a toy for academics. Nobody took it seriously. And then in the early 2000s, people said nobody would actually enter their credit card information to buy things online because it's just too risky, it's too dangerous. Say it's just filed for bankruptcy. Amazon founded in 1994 as a$2 trillion empire. Now, 15 years ago, people said no one would save their private information on the cloud because of privacy concerns. Well, I hate to break it to you, but if you have a smartphone in your pocket right now, your data is already in the cloud. And today, what have we got? Same common sentiment. AI is overhyped. People said it won't actually take real jobs, they just say it's just a fancy search engine. They're saying the same things they said about every other major tech revolution. So right now, some recordings. We're in what I call AI 2.0. ChatGPT launched in 2022 with basic prompts. You could just ask it how to make guacamole or something, and you could give you a recipe. That was AI 1.0. It was information. It was basically like a search engine, but a little bit better. Now in 2025, AI 2.0 is about generative AI. It's about creating things, pictures, videos, music based on what you tell it. You can create entire marketing campaigns, design logos, the Coca-Cola Christmas apps entirely AI generated for the second year running. That's transforming industries. But what most people miss is if you look at any of the major AI companies, OpenAI, Meta, Google, Microsoft, none of them say their goal is just to make better chatbots. They all say their goal is AGI, artificial general intelligence. What is it? Well, let me break it for you down simply. AI tells you how to do something. You ask it, how do I start a guacamole business? Right? And it gives you steps. AGI does it for you. You tell AGI, I want to start a guacamole business, and it goes out, it forms the LLC for you, it finds the real estate to rent, it hires an executive assistant, it sets up your supply chain. AGI is doing the work. AI is just telling you how to do the work. So this is not speculation. OpenAI's mission statement is our mission is to ensure that artificial general intelligence that are generally smarter than humans benefit all of humanity, especially Sam Altman. I added that bit. So that's literally what they're building towards. So why does it matter to you as an investor? Well, understanding this distinction is critical because if companies are actually building AGI, they're going to need massive infrastructure. They're going to need computing power, we can barely imagine. They're going to need entire ecosystems of supporting technology. And that's where the investment opportunity gets exciting. Now, before I show you these hidden layers, literally the layers of the onion where to invest, information like what I'm giving you here is only going to take you so far. I would not be retired and sitting in a nice hotel suite somewhere in the world today if it wasn't for my boss in banking and my mentor since you've taught me what to do and most importantly what not to do on a weekly basis. Looked over my shoulder, looked at my portfolio and said, Felix, why are you harboring that ugly thing in there? And I was like, whoops, you've spotted that. Holding me accountable, teaching me the rules, teaching me a process that takes me back two hours a week to do all my investing. And what we're doing this week, in the spirit of Black Friday, which is not something that I was ever really a fan of, seems just pointless consumption. So we're going to do something different with the pointless consumption. We're going to make it the most impactful consumption you could possibly make. We're going to allow more people to learn from my mentors, my Wall Street guys who work for Goldman's and Deutsche and Besterns and all the hedge funds and so on, and give you access to that at some crazy offer price and just all-around offer, which is something that I say we never do, we never discount, because I just believe in over-delivering for people rather than looking at the price point. I just want to think how can we deliver and over-deliver them? It's the same amount of value to actually get you where you want to be. Ask them all the difficult questions you always wanted to ask, and we'll give you the clarity you need and put you on a path that you actually want to be on. So FelixFriends.org slash freedom, the link is down below in the description. And now let's talk about this tech like an Amyan. It it literally has lots of layers, and each layer is a different investment opportunity. Now, most people see the surface layer, but the real opportunity is often hidden inside several layers deep. So there are five key layers here, and I want to walk you through each one of those so you have a deep understanding of what's going on here. The first layer is the obvious one. It's the AI companies, the OpenAIs, the Meta, the Google, the Microsoft. These are the companies building the AI system. Now, most of these are either private or they're already priced at massive valuations. OpenAI isn't public, but we can buy Microsoft Meta Alphabet. But a huge percentage of that gain is already locked in, in my humble opinion. But here is where it gets interesting. This is just the first layer of the onion. The second layer of the onion is where things get a bit more exciting. To power AGI, these systems that are smarter than humans, you need computing power that doesn't exist yet. And that's where quantum computing comes in. Think of it this way: a traditional 64-bit computer can solve one problem at a time, even if it's very fast. But a theoretical 64 qubit quantum computer could solve two to the 64th power problems simultaneously. That is 18 quintillion problems at the exact same time. So what might take a traditional supercomputer years or even centuries to solve, a quantum computer could potentially solve in seconds. So this isn't science fiction, by the way. This is happening right now. This year, Amazon announced the Ocelot quantum chip, which could reduce quantum error correction costs by 90%, which is a massive breakthrough. Microsoft unveiled the Majorana One quantum processor, the world's first chip powered by topological qubits, whatever that is, little hobbits with chisels or something. I don't know. They project that by later this year, that system with just 50 logical qubits could achieve general simpulation advantages. Now, IBM is working on the Kukabuddha, which is a particularly odd version of small hobbits with chisels. It is a 1,386 qubit system, and they're demonstrating that it's pretty fault tolerant. And they're planning a large-scale system called the Starling by 2029. Now, we don't know which companies will win this race. We don't even know for certain when or if we'll see practical quantum computing at scale. But what we do know is that billions of dollars are being invested into this right now. And then you've got the third layer. This is where the onion gets even more tasty. All of this AI processing, all of this quantum computing, all of this data that has to be stored somewhere, right? And that somewhere is called a data center. When you ask ChatGPT how to make guacamole, that information gets stored in a physical location. The cloud is not actually a cloud, it's not a Fugazi, it's a physical building full of service. And many of these data center companies are not AI companies. They are their own separate business that specializes in creating and managing these facilities. So it's the infrastructure build out. The Big Ten companies, Microsoft, Amazon, Alphabet Meta, are expected to spend$320 billion alone on this infrastructure. And much of that money is going to data center construction and expansion. And get this: there's a company called Lone Star Data Holdings. They actually launched the world's first hardware-based data center, which is en route to the moon. So I'm not literally making this up. Companies are literally talking about building data centers on the moon because of the stable environment and the natural cooling. Now, this is going to happen at scale, but Bezos thinks so, but who knows? But the fact that it's even seriously discussed tells you how massive the data storage requirements are. Now, number four is the cool stuff. Most people never think about this. If you've ever used a laptop with 25 browser tabs open, like I generally have, you know your computer can overheat. It can get hot, right? That's why I'm traveling with this monstrous 18-inch laptop, because it's the only thing that does what I want it to do. Now, imagine millions of these running at 24-7, performing trillions of calculations, these data centers generate massive amounts of heat. And you can't keep them cool, well, they don't function. So this is not a put a fan in the room type solution. Their entire companies devotes to creating advanced cooling technology. And their companies like Vertiv, Envent Electric, Modi Manufacturing, and they specialize in data center cooling solutions. Lord of stock is up about 100 something percent just last year. Partnerships with Nvidia, AWS, Microsoft, Meta, and so on, although they're also working on their own custom cooling solutions. So the liquid cooling market, which is 25 times more important efficient than air cooling, by the way, is expected to grow 45% annually. Now you might think 45% isn't a lot. Well, go to um type Go to Academy, compound interest, or just comp compound into Google. First thing that'll come up in your search result, compound interest calculator, and just see if you're one of these companies that has, you know,$100,000, say, and it's growing at 45% a year. And let's just say that's gonna happen yearly, just for 10 years, and then hit the calculate button. Uh that$100,000 becomes$4 million. That's a 4,000% increase. So annual growth rates over 10% create enormous outcomes, right? You can also obviously do this with your own investment plan, which is what the intention is there. Now, some other tickets to look at would be NVT, uh MOD is another one. So most people think AI investing is NVD or Microsoft, but as I say, there are companies, several layers below it that make all the stuff happen, and most people don't really realize this exists yet. Now, there are two types of you watching here, right? So you need to understand where you are, because not everybody should be investing in individual companies or trying to pick which quantum computing stock wins or which cooting companies has the best technology. Personal finance is personal for a reason. And what's right for me may not be right for you, and I want to be very clear about that. So for most people, passive investing is where they sit, right? It's lower risk, it grows with the overall market, it gives you that long-term average. And again, let me show you that. So say you have, say you have$100,000, the market goes up 10%, um, and you know, you invest for the next 30, 40 years, you're not even adding anything. Let's add something, right? Let's add$1,000 a month. Let's make this a bit more exciting. And then you hit calculate. Well, your$100,000 plus your$460,000 in additions, that's$1,000 a month, becomes about$4 million. So you make a 7 or 50% return just by the index, right? It's pretty sweet. Pretty, pretty, pretty good place to be. And it just means every single month you buy stuff, you don't have to do the research, you don't have to listen to me, uh, you don't have to pay any attention whether Microsoft is winning or quantum this or quantum that is winning. You're just averaging. You're just gonna do average. And if you're talking decades and you're patient and you're disciplined, you're gonna do, you're gonna do well. Right. Now, the active investor, which is a lot less people, um, they're gonna do some individual stock selection. Now you can do both, by the way, and I think that's a good thing to do. Like you can split your money between the two. But say, say you did manage to just get 1% extra. So rather than 10%, you made 11% on average, right? So we had 3.9 million up here, remember that number? Remember 3.9 million, hit the calculate button. Now you got 4.9 million. You got an extra million. You literally got an extra 2 and a percent, you made an extra million. Just by being 1% better than the market average, right? It's more time-intensive, potentially you could make more money, like that 1%. Uh, but it does require some research, but most importantly, it requires rules. So I was taught the rules of investment banks by my boss and then later by all the mentors I paid over the many years. And that's really what's changed my life in my game. And I'd very much encourage you to learn the same way because I think it's the only way that works. How do you do that? Well, say you can go to phelixfriends.org slash freedom and you can book a free consult call with us, which will literally cost you nothing at all, other than 45 minutes. Because you need to understand the risks, you see, the valuation risk, the bubble concerns, the regulation, the company risk. And there's kind of a lot to take in. But if you want to think like an investor, I think you really need to be surrounded by investors, people who've managed a lot of money, people who've been taught. And if you don't want to do that, then just stay in the passive investing game and you'll also do tremendously fine. But if you can get the extra percent, maybe you can even get 2% extra. I'm not promising you that, but if you did, the 3.9 million would become 6.2 million, right? Life changing difference. So have a chat with us. It's completely free of charge, it's completely risk free. And above all, I wish you tremendous success. You got some value out of this, share it with some other people, and I wish you great success.