More Articles | Free Reports | Premium Services Generals always prepare to fight the last war, especially if they won it. – Georges Clemenceau, French Prime Minister What’s true for war is often true for investing. Investors often look at what worked before and assume it’ll keep working. The dot-com bubble in the late 1990s is just one example… Investors threw money at any company with “.com” in its name, only for many of them to crash and burn. $5 trillion in market value was wiped off the board in two years. The Nasdaq plummeted nearly 78%. Dark times. In the 2000s, investors bet big on brick-and-mortar retail giants like Sears and JCPenney. So they missed the rise of e-commerce and Amazon. During the beginning of the AI Revolution, arguably the biggest technological shift of our time, some investors stuck with legacy tech stocks like Intel. Once an iconic American company, the chip maker's stock is down about 63% over the past five years. This is a painful chart to look at. 
What makes this drop even more shocking is that all of Intel’s missteps happened right as the AI Revolution picked up steam. That’s like a runner tripping at the starting gun because his shoelaces were tied together. So, competitors like Nvidia came along and revolutionized the semiconductor industry. While one investor darling took the lead in the AI race, Intel was still fighting the last war. Of course, investors have been less than pleased with Nvidia this year. The stock has lost about 23% from its January high. That begs several questions: Is Nvidia now the one fighting the last war? And is it time to invest elsewhere? No. Let’s explore why that is… | Recommended Link | | | | In 2016, 40 year Wall Street legend Louis Navellier went on record with a shocking Nvidia prediction… and at it’s peak Nvidia soared more than 7,000%. But unlike his big call in 2016… this time, he’s saying you should NOT buy Nvidia’s stock. Instead, he’s found an opportunity he believes will kick off just days from now when Nvidia holds its first ever “Q Day.” Which is why Louis is hosting an urgent briefing to give you all the details. ** NOTE: This webinar goes LIVE ON THURSDAY MARCH 13TH AT 1 PM ET. CLICK HERE TO REGISTER FOR FREE. |  | | From Prince to King Nvidia has dominated the AI Revolution thanks to its graphic processing units (GPUs), which proved to be superior to CPUs (central processing units) for AI work. In my 40-plus years in this business, I’ve never seen a company as monopolistic as Nvidia. It’s why I went on record saying that Nvidia is the “Stock of the Decade.” Its pace of innovation is unmatched. But how much longer can the company keep this up? And with Amazon’s Ocelot, could Nvidia fall behind? I reckon that, by the end of this decade, the transistors in each of Nvidia’s chips will be approaching the “atomic” level. That’s when the laws of physics will get in the way of making its chips any faster. But the company’s not passively waiting around for that to happen. It’s going to use quantum computing to dominate the next phase of the AI Revolution. What is quantum computing? Think of it this way… Regular computing is like a speed reader who can read faster than humans, but still only one page at a time. Quantum computing is like a super-powered speed reader who can read all the pages at once. It’s been the stuff of dreams and science fiction for decades. Douglas Adams conceptualized it in his 1979 The Hitchhiker’s Guide to the Galaxy with the supercomputer Deep Thought. He wasn’t the only one dreaming big. But even as the tech shifted out of story books and into the real world, it hasn’t been fully realized yet because of quantum error correction and qubit stability. Qubits – also called quantum bits – are the technology’s units of information. In traditional computers, those units are 1s and 0s, sequentially. Qubits are 1s and 0s simultaneously. The problem is, until now, they’ve been unstable and so can corrupt without reason or warning. That’s about to change. And Nvidia is playing a significant role in making it happen. On March 20, Nvidia will hold the first ever “Quantum Day” at their annual AI conference. According to the company, it will bring together experts to consider what we should expect from quantum computing in the coming decades. I believe this will be when Nvidia makes its biggest announcement of the year... An announcement that won’t just be great for Nvidia but for select “pure play” quantum computing companies that are partnering with Nvidia as well. These smaller “pure play” quantum computing companies are where we’ll find the biggest profit opportunities. In fact, one of them could become the next Nvidia. So, make sure you block off your calendar for Thursday, March 13, at 1 p.m. Eastern. That’s when I’ll share all the details you need to know about Q-Day in a special summit – including my top pick, a small-cap stock protected by 102 patents with close ties to Nvidia. You can reserve your spot by clicking here. In the meantime, to understand what’s coming, let’s dig deeper into quantum computing and how NVIDIA is getting in on the action. Plus, I’ll share two ideas for how you can profit. But What Is Quantum Computing Really? I briefly explained quantum computing above – comparing it to a super speed reader – but it is a complex technology. It’s important to understand it so you can find the right opportunities to profit from it. So let’s dig a little deeper… Think about a maze for a moment. A classic computer will run a simulation by choosing a path. It will start all over again when it hits a dead end in the maze. It will repeat this process again and again until it finds the solution. But if you can teach the computer how to reason like a person, then it could take a more efficient approach. Theoretically, it could automatically weed out the obvious dead ends, for example, and optimize the simulations even further. That’s what British mathematician Alan Turing had in mind when he laid the foundation for artificial intelligence by suggesting building a program to simulate a child’s mind… teaching it to “think.” But here’s where things get interesting, so stick with me. What if you could test ALL paths of the maze simultaneously, giving you the correct answer in just a fraction of the time? Then you’d really have something on your hands, right? That’s quantum computing. The idea is simple: Solve hard problems much faster than regular computers. This ability to exist in multiple states at once is the key. It allows quantum computers to generate many solutions at the same time. Now, I want to be clear that many of today’s technologies already use quantum mechanics. Atomic clocks… MRI machines… lasers… even the humble LED lightbulb rely on quantum mechanics to work. We’re not talking about some theoretical power or outright sorcery. But what’s different today is that we’re finally reaching a stage where quantum states can be harnessed to perform computing tasks. Electricity went through its own “transistor moment” in the 1950s – leaping from the blunt task of driving bulky electric motors to the ultrafine role of powering the advanced semiconductors in every modern computer. Quantum computing is now ready to make that same jump. In fact, we’re already seeing real-world breakthroughs… | Recommended Link | | | | In 2016 Louis Navellier made a big prediction regarding Nvidia’s GPUs… Its stock price was split-adjusted $1 and went up more than 7,000% at its peak. Don’t miss Louis’ NEXT BIG Nvidia call. (Plus 6 stocks you need to own before March 20th.) Click here to register for free |  | | Quantum’s Move to the Mainstream For years, quantum computing was limited to government and university research labs because the hardware was too big, too expensive, and too unstable for real-world applications. Thanks to some key advances, that’s changing. Big Tech companies like Alphabet, Microsoft, and Amazon are developing custom quantum chips that can perform computations in seconds. It would take classic supercomputers thousands of years to complete the same process (more on that next week.) There have been other advances in quantum computing, too. Ones that have the potential to bring this to market at a mass scale that researchers only once dreamed about… Now, I promise I won’t bore you with any more physics or technical lingo. The critical thing to know is that recent breakthroughs are putting us closer than ever to bringing quantum computing into profit-making Corporate America. Major governments, tech firms, and institutional investors are betting big on quantum computing. That’s because the implications are staggering: -
Biopharma companies could discover breakthrough drugs faster than ever before. -
Automakers could develop driverless car systems that really work. -
Chemical companies will develop materials we can’t even imagine. And that’s just the tip of the iceberg. With quantum computing, we’ll start solving problems we don’t even know we have. That brings us to the investment opportunity. The Next Nvidia As I mentioned earlier, I expect Nvidia to begin the shift to quantum computing as soon as March 20. My prediction is that it will figure out a way to marry AI with quantum computing in a way no one has ever done before. We're talking about the possibility of a new technological breakthrough that could affect industries worth a combined $46 trillion. That means Nvidia is still a solid “Buy” for long-term investors. But for the really big gains, you must start looking at the “pure play” quantum companies that Nvidia and other Big Tech companies are partnering with. That’s what I’ve been doing and it’s why I’m hosting my exclusive briefing – The Next 50X Nvidia Call on Thursday, March 13, at 1 p.m. Eastern. My goal for this briefing is to get you ahead of the crowd and the news outlets... Because by the time the crowd has heard about this, it will already be too late. Go here to reserve your spot NOW. Sincerely, | 
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