And how can investors profit from renowned growth investor Louis Navellier’s $7 trillion economic prediction?
Elon Musk is building something strange in Memphis, Tennessee…
A sprawling warehouse complex on 114 acres of grass and swampland now houses the most powerful artificial intelligence (“AI”) supercomputer on Earth. And it was built in a fraction of the time anyone thought possible.
Growth investor Louis Navellier calls it “Project Apex.” And he predicts it could be the most consequential thing Musk has ever done.
You see, Elon isn’t simply trying to make a better AI chatbot. He’s trying to build something that mathematician I.J. Good described back in 1965… a machine smart enough to redesign itself, getting smarter in a feedback loop with no ceiling.
- Good called it “the last invention man need ever make.”
- Navellier says it could be “the crown jewel of Elon’s career.”
- And it sits at the center of what some on Wall Street are calling a $7 trillion economic transformation.
But the biggest money in this story won’t come from buying Tesla (TSLA) or even Nvidia (NVDA). It will come from a handful of lesser-known companies that are quietly supplying the infrastructure, the energy, and the technology behind the AI arms race.
That’s the argument made by Louis Navellier, the fund manager The New York Times once called “an icon among growth stock investors.”
He recently sat down in an extended interview laying out his case… and even naming the specific stocks he believes could return 1,000% or more. If you’re curious, you can watch Louis Navellier’s big prediction for free by clicking right here… he even gives away the name and ticker symbol of the company at the center of it all.
Whether you agree with him or not, the facts behind his thesis are worth understanding…
Table of Contents
Louis Navellier’s “Project Apex” Prediction
Elon quietly built one of the most powerful supercomputers on Earth. The tech industry panicked.
In late 2024, xAI linked 100,000 Nvidia GPUs in a single network inside a retrofitted factory outside Memphis. Nvidia’s CEO Jensen Huang said the build was “superhuman,” noting it took Musk’s team 19 days to do something that normally takes years.
The whole thing powers Grok, Musk’s AI model and direct competitor to OpenAI’s ChatGPT. Plans are reportedly in place to expand to 1 million GPUs by 2027, which would put xAI’s raw computing power years ahead of the competition.
And the financial stakes here are so incredible that they sound absurd.
- Goldman Sachs estimates that generative AI could add $7 trillion to global GDP over the coming decade.
- PwC projects AI could boost global GDP by an additional 15 percentage points by 2035.
- And Morgan Stanley sees a $40 trillion total addressable market… larger than the Internet and mobile phone revolutions combined.
That kind of growth creates fortunes, but it also destroys them… One AI CEO has warned that half of all entry-level white-collar jobs could disappear in five years. So while this opportunity is massive, so too are the risks if you aren’t focused on the right stocks.
That’s why Louis says the biggest investment gains won’t come from Tesla or Nvidia directly.
He draws a parallel to gold rushes or even when Tesla was getting started. The real money was in the supply-chain companies that no one was watching… think shovels or Levis for the gold rush, or lithium miners and charging-station operators when electric vehicles launched.
There’s a reason why Louis has been called “the King of Quants” by Forbes. His proprietary ratings system has identified stocks like Nvidia years before they became household names.
And he says the AI infrastructure buildout is creating the same kind of asymmetric opportunity today…
Why AI Is at a Tipping Point
AI is coming for everything…
Today, ChatGPT and competing AI models from the biggest tech companies in the world can all draft well-written essays, write working computer code, and answer difficult questions across a massive range of industries…
AI systems now regularly read medical scans and flag conditions that doctors or radiologists miss. Stanford recently demonstrated a medical AI that can assess your risk for hundreds of health conditions by analyzing data from a sleep study.
Google’s AI won a gold medal at the International Mathematical Olympiad. Another new AI math startup just found solutions to four previously unsolved, long-standing math problems.
Waymo’s self-driving cars carry passengers through 10 cities’ streets, and they’re expanding quickly. And AI-driven semitrucks are hauling loads across America.
AI-generated video has even gotten good enough that most people can’t tell AI from real footage shot by a camera crew.
And every single day, AI gets better and smarter.
This is the backdrop against which almost every single major tech executive is racing to build the first artificial superintelligence.
Mathematician I.J. Good predicted in a 1965 paper that an “ultraintelligent machine” could improve itself in a loop, triggering what he called an “intelligence explosion.” He went on to add…
[T]he intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.
And as we mentioned earlier, he predicted that such a machine would be, “the last invention that man need ever make.”
Musk appears to be aiming for exactly that with Project Apex… an AI that learns and evolves, to ultimately surpass any human brain.
Inside Project Apex: Elon Musk’s ChatGPT Killer
The story of Project Apex begins with an old, shuttered refrigerator factory in Memphis, Tennessee.
The site offered reliable grid power, ample land, and proximity to the Mississippi River.
And Elon’s plan was audacious…
In order to beat ChatGPT creator OpenAI, he needed raw computing power. So he built the biggest AI supercomputer in the world… connecting 100,000 Nvidia GPUs into a single, unified cluster.
This was something that experts in the data center industry said simply couldn’t be done. Louis noted that executives at database and enterprise software giant Oracle said the “timeline was impossible.”
Nonetheless, the 100,000-GPU cluster went live in August 2024, roughly 122 days after construction began. And Elon’s team added another 100,000 GPUs to the cluster just 92 days after that.
To put that speed in context, data centers typically take 18 to 24 months to build. Some take four years. Hyundai needed three years to build a single auto plant in Georgia. Musk’s team built the most powerful AI training facility on the planet in about a third of a year.
It didn’t come easy, of course. As R&D World reported…
Assembling 200,000 interconnected GPUs in under a year brought chaos: mismatched BIOS firmware, network cable snarls, and cosmic-ray bit flips sparking random errors. “It’s a battle against entropy,” xAI’s Jimmy Ba quipped, warning a single transistor flip could throw a 100,000-GPU training run off kilter. Musk recalled debugging a BIOS mismatch at 4:20 a.m., while the team unplugged cables to test stability, rerouting as needed.
xAI ended up renting approximately one-fourth of the entire U.S. mobile cooling capacity to keep those GPUs from overheating… along with bringing in a fleet of natural gas-powered mobile turbines to generate enough power to run the GPUs, before ultimately securing more permanent power.
And looking forward, xAI is now targeting 1 million GPUs… and has purchased additional warehouse space in Memphis’s Whitehaven neighborhood. Dell, Nvidia, and Supermicro are all setting up their own support facilities in the area. Locals have started calling Memphis the “Digital Delta.”
So what does all this computing power actually do?
It trains Grok, xAI’s chatbot. And Grok continues to get smarter and smarter.
Grok 3, released in February 2025, was trained on the full 200,000-GPU cluster using roughly 10 times more compute than its predecessor. It scored 93.3% on the AIME 2025 math benchmark, compared with roughly 79% for OpenAI’s best model at the time. It hit 84.6% on the GPQA Diamond science benchmark.
Grok 4 followed in July 2025, then Grok 4 Heavy became the first AI system to break 50% on “Humanity’s Last Exam”… a benchmark designed to be unsolvable by current AI. It scored a perfect 100% on AIME 2025.
And of course, that’s just the beginning of Project Apex… representing a new kind of AI arms race where the winner really may potentially “take all.”
How Artificial Superintelligence Could Change the World
It’s easy to think of AI as simply a tool that writes emails or generates images based on straightforward prompts, almost like magic. And for most folks, that’s still their primary experience.
But AI is doing far more than that in laboratories and factories across the nation.
Understanding these breakthroughs helps explain why the economic forecasts we’ve mentioned are so large… why the investment opportunity here extends far beyond the tech sector… and why the pursuit of artificial superintelligence is so important. Louis puts it this way in his exclusive interview:
Elon, Sam Altman, Jeff Bezos, and all the other tech leaders are locked in a white-knuckle battle to achieve artificial superintelligence… an advanced form of AI that surpasses human intelligence in every measurable way.
This represents the highest stage of AI development, far beyond its current capabilities.
Consider nuclear fusion…
For decades now, the running joke has been that we’re “20 or 30 years away” from fusion. I remember reading a Popular Science magazine article on fusion energy with exactly that conclusion as a teenager.
And indeed, scientists have chased the promise of virtually limitless energy for decades. But the latest advancements in fusion are now being powered by AI.
For example, one major challenge to fusion is controlling the fusion reaction after it’s been ignited. The plasma inside a tokamak fusion reactor has to be held in place with powerful magnets, adjusted constantly. So four years ago, Google DeepMind published a landmark paper demonstrating that AI could autonomously control the magnetic coils needed. As they wrote:
Using a learning architecture that combines deep RL and a simulated environment, we produced controllers that can both keep the plasma steady and be used to accurately sculpt it into different shapes. This “plasma sculpting” shows the RL system has successfully controlled the superheated matter and – importantly – allows scientists to investigate how the plasma reacts under different conditions, improving our understanding of fusion reactors.
DeepMind has since partnered with nuclear fusion startup Commonwealth Fusion Systems to buy half its total power generation once its first facility comes online, as well as accelerate the development of its reactor.
And again, this is using current AI models… imagine what an artificial superintelligence could help bring about.
Or take quantum computing, another frontier where AI is helping accelerate progress.
For example, Google’s state-of-the-art quantum chip completed a benchmark computation in less than five minutes… something that would have taken today’s fastest supercomputer an estimated 10 septillion years – far longer than the age of the universe. The BBC claims that quantum computing could be “bigger than AI,” quoting several experts…
“We as consumers will touch the impacts of quantum computing in almost every walk of our lives,” said Rajeeb Hazra, the boss of Quantinuum, a firm recently valued at $10bn. He was talking to the BBC’s Tech Life podcast.
“The area of quantum computing is, in my mind, when you look at the applications, as big if not bigger than AI.”
Prof Sir Peter Knight is one of the UK’s top quantum experts. “Things that could take the age of the universe to calculate, even on the most powerful supercomputer, could be performed probably in seconds,” he told Dr Dr Jim Al-Khalili on BBC Radio 4’s The Life Scientific.
And as the article goes on to note, healthcare is a major focus for quantum computing…
Developing a single new drug traditionally takes up to 15 years and costs upward of $2.6 billion. But quantum computers could simulate potential molecular interactions at a level of detail that classical computers can’t match… and potentially compress those timelines from years to weeks. In addition, quantum computers could pave the way for personalized medicine – so that every patient can get a drug specifically tailored to their needs.
Or take agriculture. This one doesn’t make the same kinds of headlines, but we all need to eat.
Crop yields and nutrient levels are declining across the globe… but AI-powered precision agriculture can boost yields, while cutting herbicide use and reducing water consumption.
For example, tractor maker John Deere uses AI for its “See & Spray” system… now in use across 5 million acres of farmland in the U.S. As reported by Michigan Farm News:
In 2025, John Deere customers reduced non-residual herbicide use by an average of nearly 50% – saving nearly 31 million gallons of herbicide mix, according to the company – demonstrating the power of targeted application, even in a season marked by elevated weed pressure and frequent rains.
All of these examples are only the start for what’s possible with AI. Because the models that exist right now will only continue to get better.
What Is InvestorPlace?
InvestorPlace is one of America’s oldest and largest independent financial research firms.
Founded in 1973 by Thomas L. Phillips, InvestorPlace has been around for more than 50 years… helping its subscribers build wealth and make sense of stock-market booms and busts.
InvestorPlace’s business model is simple… It publishes advice and recommendations for its millions of readers and subscribers. However, it does not manage money or accept compensation to cover a stock. That keeps its incentives in line with its subscribers, who find its research valuable enough to pay for it.
Over the decades, InvestorPlace editors have been ahead of a number of major market catalysts…
- In the 1980s, analysts predicted the personal computer boom and helped readers position for it.
- In the 1990s, they recommended Internet stocks before they were fashionable (and also sounded alarms when tech stocks became absurdly overvalued in 2000).
- And they advised buying stocks aggressively in early 2009, near the bottom of the financial crisis, ahead of what turned into a decade-long bull market.
InvestorPlace experts have been featured in Barron’s, Time, and The Wall Street Journal, and have appeared on Bloomberg, CNN, CNBC, and Fox Business.
Who Is Louis Navellier?
Louis Navellier is one of the most well-known stock-market analysts at InvestorPlace.
Louis has been picking stocks professionally for more than four decades. And he’s picked up a few accolades over the years…
- The New York Times once called him “an icon among growth stock investors.”
- Forbes nicknamed him “The King of Quants.”
- And Barron’s named him “one of the most successful fund managers in the country.”
Today, Louis is the editor of Growth Investor, a flagship newsletter at InvestorPlace. His approach to investing is built on something most investors in the late 1970s considered crazy… using computers to beat the market.
As Louis detailed in his latest book, The Sacred Truths of Investing: Finding Growth Stocks That Will Make You Rich, he grew up in a big family. He was one of eight kids in Berkeley, California. His father, Ernest, had been a B-26 turret gunner in World War II who came home and became a bricklayer. Nobody in the family had been to college.
Navellier changed that. He earned a business degree by age 20 and an MBA in finance by 21, both from California State University, Hayward. As Louis put it:
I got into Cal State Berkeley but chose Cal State Hayward because I could complete a degree school faster there.
In addition, I wouldn’t have to take “bonehead” English, which I would’ve had to take at Berkeley. This was important to me. While I was among the top 1% in math based on the SAT exam, I was also in the bottom 11% in English.
During a graduate research project, one of his professors gave him an assignment… build a system that tracks the returns of the S&P 500, but with fewer stocks.
The prevailing wisdom at the time across academics was that the stock market was efficient and that instead of trying to beat them, you should instead focus on matching them.
Louis’ system found a subset of stocks that he initially thought could track the S&P 500… but instead of tracking the market, his system crushed the market.
That realization became the foundation for everything that followed.
In 1980, he launched his first newsletter. And his track record speaks for himself… USA Today once ranked Navellier second out of more than 400 money managers with a five-year return of 324%… nearly triple the S&P 500.
His method centers on what he calls Stock Grader, a proprietary system that assigns letter grades from A to F to every stock in his coverage universe.
The system evaluates eight fundamental factors – like sales growth, earnings revisions, earnings momentum, return on equity, and cash flow – alongside quantitative signals measuring price momentum and institutional buying. Only stocks that score well on both dimensions earn an A rating.
And all Growth Investor subscribers receive 24/7 access to Louis’ Stock Garder on his private, members-only website. (If you’d prefer to skip the long video interview, you can click here for a simple order form to subscribe to Growth Investor.)
How Louis’ Stock Grader System Found Nvidia in 2005
Louis’ Stock Grader system helps him find some of the biggest winners across the stock market, far earlier than most. For example…
- He recommended Apple around $4 a share in 2004 (split-adjusted).
- He was bullish on Amazon in 2004, long before it became an e-commerce giant, and Amazon went on to rise more than 2,000%.
- He spotted Oracle in the early 1990s and Microsoft in the 1980s.
But Louis’ most impressive call might be finding Nvidia in 2005 due to the massive potential of its graphics chips.
At the time, Nvidia was focused on graphics cards that made video games look better. Most institutional investors put it in the “gaming peripherals” bucket and moved on.
But Navellier’s system doesn’t think in narrative categories. It thinks in numbers.
And in 2005, Nvidia’s numbers were doing something unusual.
Sales growth was accelerating. Earnings revisions were trending up… meaning Wall Street analysts were raising their estimates, a signal that the business was outperforming expectations. Institutional buying was ticking higher. The stock’s momentum profile was strengthening.
All eight fundamental factors in the Stock Grader system were flashing positive.
Navellier recommended the stock.
And over the next two decades, Nvidia became the essential supplier to the AI revolution. Its GPUs turned out to be uniquely suited to training neural networks – something nobody fully appreciated in 2005.
Anyone who bought Nvidia on Louis’ recommendation and held on would have seen astronomical returns as the company evolved into the premier AI chipmaker… turning every $1,000 invested into roughly $770,000.
Of course, this is an extreme example of one of the best-performing stocks over the past several decades. That’s also the point… Louis’ system spotted one of the best-performing stocks over the past several decades. And it will likely spot the next one, too.
Louis’ Stock Grader system can help tell you what’s happening before the news cycle catches up. Accelerating earnings revisions, rising institutional buying, and improving momentum are the footprints of smart money moving into a position.
In fact, Louis picked Nvidia again in 2016 – and this time he told the world, publishing it as his top pick for the “Best Stocks for 2017” contest. As he wrote then:
Self-driving cars. Virtual reality headsets. Artificial intelligence. The past year has brought incredible advances in technologies that defied the imagination not too long ago. My best stocks for 2017 pick is at the forefront of these fast-growing technologies – and is profiting handsomely from them…
And while it has been on a tear in recent months, I see plenty of upside potential from here.
So if you’re looking for a top technology play for 2017 that offers a solid dividend to boot, NVDA stock is it.
At the time, Nvidia shares were trading at a split-adjusted price of around $2.50.
That’s a 7,000% winner over the past nine years… for free.
You don’t need to predict the future. You just need to read the data. Or maybe just read Louis’ work.
By his count, Navellier has recommended 186 stocks that went up 1,000% or more, and 22 that soared more than 100-fold. That includes names like Adobe in 1990, Qualcomm in 1993, and Cisco in 1997… all well before they became giants.
And today, Louis is focused squarely on the artificial superintelligence buildout as the defining investment theme of this decade. We highly recommend you watch his full interview.
Frequently Asked Questions (FAQ)
Question: What is Louis Navellier’s “Project Apex” prediction?
Answer: Elon Musk’s Project Apex is the world’s largest AI supercomputer.
It’s housed in a converted Electrolux refrigerator factory and currently runs on 200,000 or more Nvidia GPUs. Elon Musk’s company xAI uses it to train Grok, its AI chatbot. Looking ahead, xAI is expanding the complex and targeting 1 million GPUs, which would make it several times more powerful than any competing facility on the planet. Louis predicts that Project Apex will ultimately achieve its goal of artificial superintelligence… an advanced AI that can outperform humans across every domain.
Question: Why is it called a “ChatGPT Killer”?
Answer: OpenAI’s ChatGPT is currently the most widely used and best-known AI chatbot. It has nearly a billion weekly active users… of which some 250 million use it every single day.
Calling Musk’s Project Apex a “ChatGPT Killer” is a way of saying that it could soon make ChatGPT irrelevant… much like how Netflix (NFLX) streaming ultimately wiped out Blockbuster’s movie-rental business.
Question: When will we see the results of Project Apex?
Answer: The Project Apex supercomputer went live in August 2024, and xAI was rolling out improved versions of Grok within six months.
It’s possible that Project Apex could create an artificial superintelligence within the next few years… especially given how quickly Musk has proven to act in the past. Louis’ reasoning is that Musk leapfrogged the field in hardware, and AI progress tends to correlate with raw computing power. The more you have, the better the AI you can train.
Time will tell if he’s right, but Navellier has backed up his conviction with specific investments that could soar as Project Apex accelerates the creation of an artificial superintelligence.
Question: Will an artificial superintelligence cause mass unemployment?
Answer: Probably. I detailed one potential worst-case “doom loop” for AI a few weeks ago.
Louis doesn’t sugarcoat it, either. In his interview, he bluntly said “Elon won’t just kill ChatGPT. He’ll kill the labor market, too.”
AI can already handle a lot of entry-level digital work. Companies are already freezing hiring in these areas. That’s one big reason why it’s so important to own the corporations behind AI, so that even if the broader labor market struggles, your finances are still protected.
Question: Is it too late to invest in AI stocks?
Answer: Nope. Or at least I don’t think so, and neither does Louis.
Research firm Gartner has placed generative AI in the “Trough of Disillusionment” phase of its Hype Cycle, which tends to be a favorable time for disciplined stock pickers. It means the initial wave of hype has cooled and valuations have pulled back in many AI-related names, even as the underlying spending and deployment continues to accelerate.
Gartner predicts upward of $2.5 trillion will be spent on AI in 2026… and the market still hasn’t yet recognized the full potential of the infrastructure companies supplying the AI giants.
Question: Which stocks might be big losers thanks to AI?
Answer: A number of widely-held stocks could drop sharply as AI changes everything about their industries…
A few things to watch out for: If a company is slow to adopt AI, they’ll likely be outcompeted by those who do. Tech companies trading at high valuations based purely on AI hype with no real path to profits will eventually get decimated by real AI companies. And of course, you have to be also careful even with good businesses whose competitive advantages are eroding because AI “commoditizes” what they sell.
It’s worth evaluating your portfolio through the lens of AI… Is a company becoming more efficient with AI? Or is it getting left behind? Navellier’s Stock Grader can help here. If it shows that a company has slipped to a D or F grade, then something is deteriorating… and AI disruption may be the reason.
Question: How does Louis Navellier’s Stock Grader system work?
Answer: Stock Grader assigns every stock a letter grade from A to F, just like a school report card, based on two dimensions:
- The first is fundamental: eight factors including sales growth, operating margin expansion, earnings growth, earnings revisions, earnings surprise history, earnings momentum, return on equity, and cash flow.
- The second is quantitative: momentum signals and institutional buying activity.
Only stocks that score well on both dimensions earn an A rating. Navellier has said the system processes trillions of data points annually, including tracking activity in dark pools, the private exchanges where large institutional investors trade.
Question: Does Louis Navellier get every stock pick right?
Answer: Nope, nobody does. And Louis would be the first one to say so. All investments involve risk, and past performance doesn’t guarantee future results.
What Navellier points to is a strong, long-term track record over more than four decades… not a perfect one. His Stock Grader system is designed to identify stocks with the highest probability of outperforming based on quantitative and fundamental data. Some of those stocks decline. The strategy relies on getting more right than wrong over time and managing position sizes accordingly.
Question: How can I learn the next stock Louis Navellier will recommend?
Answer: Every month, Louis recommends the best opportunities he sees in the market to subscribers of his Growth Investor flagship letter.
Growth Investor includes monthly issues, a model portfolio of open buy recommendations, flash alerts, access to Stock Grader, and a library of special reports covering AI infrastructure, energy, quantum computing, and other themes. Louis and his team wrote three new special reports for viewers of his latest extensive interview, including:
- The Next Tech Giant: The Hidden Winner of Elon’s AI Supercomputer
- Trump and Elon’s Preferred AI Partner: Inside the Tech Defending America’s Future
- The Perfect AI Energy: Make 10X Gains on This AI Lifeblood
How Investors Can Profit from the $7 Trillion AI Boom
The potential of AI is massive, and growing…
As we mentioned earlier, Goldman Sachs estimated that widespread AI adoption could drive a 7% increase in annual global GDP over 10 years… or roughly $7 trillion in new wealth.
But that number is by no means the largest projection…
- PwC went further, projecting that AI could boost global GDP by an additional 15 percentage points by 2035 in an optimistic adoption scenario.
- IDC projects AI solutions and services will generate a cumulative global economic impact of $22.3 trillion by 2030.
- And Morgan Stanley sees the broadest opportunity of all, estimating that AI technology diffusion could create a $40 trillion total addressable market – a number its analysts say makes this “more transformational in its effect on work, productivity and growth than even the [I]nternet or the mobile phone.”
So what are the biggest opportunities for investors to profit from this boom?
Louis Navellier has identified three investments that he predicts can return 10 times your money or more in the coming years, including…
- A direct “picks and shovels” play on the technology that powers Elon Musk’s Project Apex supercomputer.
- The preferred AI partner of both Elon Musk and the Trump Administration, as Trump says the U.S. will do “whatever it takes” to lead the world in artificial intelligence.
- And an energy pioneer that has already signed big data center deals with several of the biggest players. Louis calls it “the perfect AI energy.”
He has more details in his extensive interview… and he even gives away a free recommendation that is smack dab in the middle of this artificial superintelligence megatrend.
And of course, if you’d read enough and would like to skip straight to subscribing today, you can click here to go straight to an order form – please note, this link does not go to a long video.
