Category Penny Stocks

Editor’s note: “Beyond the Ups and Downs: Building Wealth in a Volatile Stock Market” was previously published in February 2025 with the title, “How to Find Success in Today’s Volatile Stock Market.” It has since been updated to include the most relevant information available.

Another day, another crazy roller-coaster ride for the stock market…

This has been the trend since Halloween. 

That is, in November, the S&P 500 rose 5.73%, achieving one of its best months in a year on optimism about potential deregulation and tax cuts under the Trump administration.

Then, as investors began to fear that the U.S. Federal Reserve wouldn’t cut interest rates anymore, stocks crashed 2.5% in December. It turned out to be one of their worst months in a year. 

As we moved into 2025, stocks rebounded throughout January and early February thanks to renewed economic optimism… 

But they’ve since crashed over the past few weeks as uncertainty about tariffs, federal spending cuts, and an economic slowdown weighs heavy on Wall Street. Indeed, since Feb. 10, the S&P has slid more than 6%. 

Stocks have swung violently higher and lower many times over the past several months, all for the S&P 500 and the Nasdaq to be basically flat.

Is this intense volatility Wall Street’s ‘new normal’?

It may be… 

A Bumpy Ride Higher?

Don’t get me wrong; I still think stocks are going higher in 2025. 

Despite renewed concerns about inflation and a consumer spending slowdown, the economy still appears to be on stable footing. It should benefit from deregulation and maybe even tax cuts over the next few months. Plus, the AI Boom remains alive and well, which should continue to create growth through the economy. 

Additionally, the fourth-quarter earnings season has come to an end; and broadly speaking, it was a strong one. 

As FactSet reported, “nine of the eleven sectors are reporting year-over-year earnings growth for Q4. Six of these nine sectors are reporting double-digit growth: Financials, Communication Services, Consumer Discretionary, Information Technology, Health Care, and Utilities.”

Meanwhile, the blended earnings growth rate is nearly 17%, which marks the index’s highest profit growth rate since 2021.

And trends are expected to stay strong for the foreseeable future. That is, next quarter, earnings are projected to rise about 8%, then another 9% in Q2. They are expected to rise almost 15% in the third quarter and about 13% in the fourth.

In other words, corporate earnings should keep rising for the rest of the year. Stock prices should follow suit. 

However… I don’t think it’ll be a smooth ride higher…  

Largely because of U.S. President Donald Trump.

During these busy times, it pays to stay on top of the latest profit opportunities. And today’s blog post should be a great place to start. After taking a close look at the latest data on institutional buying pressure and each company’s fundamental health, I decided to revise my Stock Grader recommendations for 159 big blue chips. Chances are that you have at least one of these stocks in your portfolio, so you may want to give this list a skim and act accordingly.

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Article printed from InvestorPlace Media, https://investorplace.com/market360/2025/03/20250310-blue-chip-upgrades-downgrades/.

©2025 InvestorPlace Media, LLC

I remember those black turtlenecks.

When Steve Jobs took the stage to unveil a new iPhone, it was like magic.

You weren’t just getting a sales pitch. He made you believe in the future.

Some CEOs run companies. Others shape the world.

After Jobs, I never thought I’d see it again in my lifetime.

Then came Jensen Huang.

Like Jobs, the NVIDIA Corporation (NVDA) CEO built a trillion-dollar empire. Also like Jobs, he has a signature look – a black leather jacket. And when he speaks, markets move.

In fact, we saw just how much impactful Huang’s words were on the market were back in January.

Huang, dressed in an alligator leather jacket fit for Las Vegas, took questions at a CES 2025 analyst Q&A. When the topic of quantum computing came up, he was blunt.

A “very useful” quantum computer? Maybe 20 years away, he said.

That offhand remark wiped out billions in quantum computing stocks.

Now, at first glance, this wouldn’t be that strange. Tech leaders get asked their opinions all the time.

But here’s what doesn’t add up.

On March 20, NVIDIA is holding its first-ever Quantum Day as part of its annual AI Conference.

According to the company, “Q-Day” will bring together industry leaders, developers and partners to explore the future of quantum computing.

Live sessions. Deep dives. Discussions on what’s happening right now – and where the industry is headed.

Oh, and guess who’s hosting?

Jensen Huang.

In 1844, American inventor Samuel Morse transmitted the first long-distance telegraph from Washington, D.C., to Baltimore: 

“What hath God wrought?” 

Besides ushering in the age of instant long-distance communication, that message was also one of the first practical applications of electricity. This awesome power (considered an almost magical force for thousands of years) could now be used to send notes about your great aunt’s health. 

Over the next century, scientists would dramatically improve our control over this power. Electricity went from brute-force tasks like pulsing messages along wires to finer ones, like transmitting video across the air.  

But nothing could prepare the world for 1964, the year the MOSFET transistor was invented. 

This “transistor moment” was a game changer. Suddenly, electricity could be used for computing… a task so complex that it had previously been the domain of mechanical contraptions the size of rooms. It was only a matter of time before we saw the first personal computer (1971), the first laptop (1981), and the World Wide Web (1989).  

Investors who bought the right companies in this technological revolution became overnight millionaires. 

We believe that quantum mechanics is about to have that same moment. 

You see, quantum mechanics is a similarly confusing science. Like electricity, it’s: 

1. Usually invisible, 
2. Behaves in totally unintuitive ways,  
3. And has taken decades to understand. 

And just like electricity in 1964, we’re now finally moving from using quantum mechanics in brute-force settings to the finely tuned ones that computing chips need. 

It’s happening faster than anyone imagined. 

In a special presentation later this week, InvestorPlace Senior Analyst Louis Navellier takes a brief break from market jitters to focus on a big-picture idea that he believes will change the world, much like the transistor did. 

On March 20, during the company’s first ever “Quantum Day,” Nvidia Corp. (NVDA) may announce a new breakthrough technology that is poised to ignite the next phase of the AI supercycle 

And one tiny small-cap company is positioned to be crucial to Nvidia’s Q Day reveal, thanks to its technology protected 102 patents. 

So, on Thursday, March 13, at 1 p.m. Eastern, he’s holding a special time-sensitive briefing to get you ahead of the news. Click here to sign up for the free event.  

I know this sounds like a lot. So, in this special Sunday InvestorPlace Digest, I (Tom Yeung) am going to: 

1. Introduce some of the basics of quantum computing, 
2. Explain why it’s so important to watch Louis’s presentation,  
3. And show how to invest your money in preparation for this tectonic shift. 

Let’s start with the what of quantum mechanics: 

What is it, and how does it work? 

It’s Quantum Mechanics, Not Sorcery 

In 1955, the cesium atomic clock became the first machine to rely on quantum mechanics.  

Researchers used finely tuned microwaves to blast cesium atoms into a “superposition” state, where they are in more than one energy state at once (grounded and excited). The physicists converted the energy difference between these two quantum mechanical phases into oscillation periods, creating the second-long “pendulum” that remains the global standard for time today. 

Essentially, quantum mechanics is the science that describes the behavior of atomic and subatomic particles. Physics can get very strange at a small size, and many of the “rules” that apply to our regular world simply do not when you shrink things small enough. For instance: 

• Quantum tunneling. Particles can vanish when they hit an obstacle, only to reappear somewhere else 
• Quantum entanglement. Photons (light particles) can influence each other, even if they are separated by miles of fiber optic cable. 
• Quantum states. Atoms can “exist” in multiple states, much like the cesium atoms in an atomic clock. These states can even change simply by observing them. 
• Electroluminescence. Excited electrons can release energy as photons, turning electricity into pure light. 

Now, I know much of this seems very odd. Some of this might even sound entirely made up… 

But let me be clear: Quantum mechanics is a real phenomenon that’s been known about since 1900. In fact, many common items already use these principles. MRIs… solar panels… and even the LED bulbs in your home rely on some form of quantum mechanics.  

And now, the greatest prize is knocking at our doorstep. 

One that’s going to change how we see the world.  

And that’s because we’re on the verge of using the fantastical “magic” of quantum mechanics in computing. 

So next, let’s consider why quantum computing is so important in the first place… 

Bringing the “Quantum” Into Computing 

The rationale for using quantum mechanics in computers is relatively straightforward: 

Subatomic particles can do things that electricity simply cannot. 

For instance, modern electrically powered computers run on “0”s and “1”s to store data and calculate outputs. It’s the same binary code we’ve used since the days of punch cards, and it makes certain calculations particularly time-consuming.  

For instance, breaking an encryption key involves testing every possible combination, one by one, until the answer is found. 

Meanwhile, quantum mechanics allow things to be “0” and “1” at once… and any number in between. A computer using quantum states could theoretically store far more data in a single place and perform calculations that a binary system can only dream of doing.  

That same encryption key could theoretically be broken within seconds by a quantum computer because these machines could test thousands… if not millions…of password combinations all at once. 

Or consider the physical limitations of modern microprocessors. Today’s chips are essentially billions of tiny grooves etched onto a semiconductor that channel electric charges from one place to another. (Think of a colony of ants delivering information through a maze of tunnels.) 

We’re now reaching a point where these tiny grooves are becoming too small to conduct electricity. In other words, these tunnels are becoming too narrow for these “ants” (i.e., electrons) to squeeze through. 

But what if we could harness the concepts of quantum tunneling or quantum entanglement? Under the right conditions, we could teleport “ants” straight to their destination… or even to an anthill halfway around the world.  

That would shake the very foundation of computing itself (as well as create some very confused insects). 

Where’s My Quantum Computer? 

Of course, moving quantum physics into computers has proved challenging. The original cesium atomic clock required beaming microwaves at a “fountain” of cesium-133 atoms, and modern versions still require supercooled metal streams to be injected in a vacuum. You can’t etch that onto a microchip. 

Even getting these atoms to “calculate” anything has been difficult. Atoms and subatomic particles have a habit of disappearing into their environment, and it took until 1998 for the first “quantum computer” to be built. (Even then, the experimental device could only keep track of its two carbon-13 atoms for several nanoseconds.) 

One big breakthrough came in 1999 after a team of Japanese researchers discovered the “charge qubit,” an electric circuit with quantum mechanical properties. Below is a simplified electrical diagram of this concept. (The electrical engineers out there will quickly recognize it as a variation of an LC circuit that uses a capacitor/inductor combination to create an oscillation.) 

source

Another innovation came in 2007 when researchers at Yale used several charge qubits to create the “Transmon qubit.” This new circuit protected qubits from outside charge noise, allowing them to be stored for usable periods. Below is a diagram of this more advanced idea. 

source

Since then, innovation in quantum computing has accelerated.  

In December 2024, Alphabet Inc. (GOOGL) stunned the world by launching a quantum processor named Willow with 105 transmon qubits. And in the past month, we’ve seen “quantum chip” announcements from Amazon.com Inc. (AMZN) and Microsoft Corp. (MSFT) claim similar advances.  

It’s only a matter of time before these prototypes turn into a commercially viable product. 

So, that brings us to the final question of this update… 

Where are we now, and what should investors do next? 

Where Quantum Computing Is Today 

Today, the greatest challenge faced by quantum computing is fixing the errors produced by the fragile nature of qubits. 

You see, environmental disturbances and other “noise” tend to produce errors in every few hundred quantum calculations. A single qubit might have a 1-in-500 chance of making an error, while a two-qubit system has a 2-in-500 chance rate, and so on. That means a 1,000-qubit chip would almost certainly make mistakes without error correction. (Most experts agree usable quantum chips will need several million qubits to be useful.) 

Alphabet’s Willow is a leap forward because it uses qubits to monitor each other for errors. In theory, its 105-qubit chip can correct roughly three errors at once – a figure that should grow the more qubits you add. 

Microsoft and Amazon are also exploring other types of qubits that may someday surpass transmons. The former is exploring “topological qubits,” a mesh that can store quantum information on its surface. That would make it exceedingly easy to scale, because adding more qubits can be done by simply adding more surface area. The latter is using “cat qubits,” which use microwaves to keep qubits in a suspended state. 

These efforts are much like those at Bell Labs in the 1950s and 1960s that turned the original 1947 transistor prototype into usable “MOSFET” chips. No one quite knew which approach would work.  

But once they discovered them, MOSFET chips quickly took over. They remain the backbone of every modern microprocessor today. 

Now, Wall Street legend Louis Navellier believes he’s found the “Bell Labs” of quantum computing. 

Or rather… it’s two companies that could end up working together to produce the first-ever commercially viable quantum chip. 

The first is Nvidia Corp. (NVDA), a firm that realizes it faces an existential threat from quantum computers.  

Quantum chips could become supremely good at breaking encryption… solve protein folding… and perform hundreds of other tasks that MOSFET-based chips struggle with. Nvidia’s management realize they need to end up on the right side of history. 

The second company is a tiny firm that Louis will reveal in his exclusive presentation on Thursday, March 13, at 1 p.m. ET (reserve your spot here). 

This startup is working on the bleeding edge of one of the qubit technologies I mentioned above. And Louis believes it just might become the next Bell Labs of the Quantum Age. 

But investors can’t wait long to get in on the ground floor. While Wall Street is losing sleep over the latest tariff news, this innovative firm is pushing ahead with creating the world’s next “transistor moment.” 

Reserve your seat for Louis’s free event by clicking here. 

Until next week, 

Thomas Yeung 

Markets Analyst, InvestorPlace 

Editor’s Note: Many investors are feeling bearish on the market right now. Since the late 1980s, the percentage of bearish investors in the survey has surpassed 60% only six times before: twice in late 1990, twice during the 2008 financial crisis, and twice during 2022’s red-hot inflation plight.

Every previous occasion that investor sentiment was as negative as it is today, stocks were in the process of bottoming after a crash. Then they proceeded to soar over the next 12 months. Average forward 12-month returns? Nearly 30%!

This data doesn’t mean stocks are guaranteed to soar over the next 12 months.

But my InvestorPlace colleague Luke Lango is joining us today to explain why he believes it is a noteworthy data point that suggests maybe we should be greedy now when others are fearful.

Take it away, Luke…

You’ve probably heard Warren Buffett’s famous saying: “Be greedy when others are fearful.” 

Others are certainly fearful right now. According to the weekly American Association of Individual Investors (AAII) survey, ~60% of individual investors are feeling bearish on the market right now. 

Let’s put that number in context… The AAII has been conducting this survey since the late 1980s. In that time, the percentage of bearish investors in the survey has surpassed 60% only six times before. We saw surges like this twice in late 1990, twice during the 2008 financial crisis, and twice during 2022’s red-hot inflation plight. 

In other words, investor sentiment is historically negative right now. 

Who can blame them? 

We’re in the midst of the biggest global trade war in nearly a century. Layoff announcements last month spiked to their highest level since July 2020, surging 245% to 172,017. Consumer sentiment is crashing, -9.8% from January, according to the University of Michigan’s survey. Federal spending cuts are rattling the job market. One estimate for U.S. GDP growth has plunged from +2.3% last quarter to -2.8% this quarter. 

Things look bleak right now. No wonder investors feel so bearish. 

But history suggests that when investors are feeling this bearish, it is always a good time to be buying stocks… 

Bearishness Can Be a Contrarian Indicator

In late 1990, when the number of bearish investors spiked above 60% in the AAII’s weekly survey, the stock market was in the final innings of a big crash. Between mid-July and mid-October 1990, the S&P 500 lost ~18%. Then, over the next 12 months, the index rose more than 20%. 

In late 2008 and early 2009, when the number of bearish investors again spiked above 60%, the market was in the final innings of another big crash. Stocks plunged around 30% between mid-October and mid-March – but soared more than 60% higher over the next 12 months. 

In late 2022, when the number of bearish investors most recently spiked above 60%, the stock market was – you guessed it – in the final innings of a crash. Between mid-August and September’s end that year, stocks slid more than 16%. Over the next 12 months, the market rallied about 20%. 

In other words… every previous occasion that investor sentiment was as negative in the AAII’s weekly survey as it is today… stocks were in the process of bottoming after a crash. Then they proceeded to soar over the next 12 months. 

Average forward 12-month returns? Nearly 30%!

The Final Word

Of course, this data doesn’t mean stocks are guaranteed to soar over the next 12 months. 

But it is a noteworthy data point that suggests maybe… just maybe… we should follow Buffett’s advice and be greedy now when others are fearful.

The S&P 500 is currently languishing right around its ‘ultimate’ support level: the 200-day moving average. If the market bounces here, we think that would be a strong buy signal. 

As for which stocks to buy on the rebound, we like AI stocks a lot. Those assets have enjoyed quite strong and steady growth for the past two years. 

The Global X Artificial Intelligence and Technology ETF (AIQ) is a good proxy for the industry at large. And from March 2023 to today, it has risen more than 40%.

We think there will continue to be strong growth in that sector moving forward. 

But we like a specific subset of stocks even more. 

Learn more about those breakout stocks before they roar higher.

Regards,

Luke Lango

Editor, Hypergrowth Investing

Editor’s note: “2025: The Defining Year for Autonomous Vehicle Adoption” was previously published in February 2025 with the title, “Autonomous Vehicles: Why 2025 Will Usher in the Self-Driving Car.” It has since been updated to include the most relevant information available.

The future isn’t coming—it’s already here. 

Big Tech firms, for example, are spending billions of dollars to develop new AI applications. But thus far, many of those projects are still in development. Therefore, outside of bots like ChatGPT, folks like you and me have largely yet to witness the change that is AI. 

But one technological transformation happening right now is already quite tangible: autonomous vehicles (AVs), or self-driving cars.

Now, I know many folks might be skeptical of 2025 truly being the year this ground-breaking technology finally goes mainstream. After all, self-driving cars have spent years stuck in a cycle of hype, delays, and skepticism. Many believed they were always “five years away” from reality. But in 2025, that changes.

Over the past year, companies at the heart of this industry have made consistent and stunning progress. And now that Donald Trump is back in the White House for a second term, the regulatory landscape is beginning to shift in a highly favorable direction.

That disruption isn’t a distant dream. It’s happening now.

Autonomous vehicles are on track to turn the global transportation services market – estimated to be worth more than $7 trillion – on its head; and the profit potential in this space is absolutely massive.

The companies leading this revolution are making history, and investors who position themselves early stand to reap massive rewards.

That’s why I just put together a brand-new, research-driven presentation breaking down the biggest opportunities in the self-driving car space—and how you can profit. (Click here to check out that video.)

The AV Experience

Let me share a personal experience that illustrates why I’m so confident about the AV Revolution unfolding right now. Rather than making predictions, I’ll show you exactly what these vehicles can already do.

Recently, I was flying back from a work trip into Phoenix Sky Harbor International Airport. It was late. My wife and kids were asleep. So, I fetched a ride from a ride-hailing app. The car arrived. It took me to my home in the suburbs. Dropped me off. 

It was a typical ride-hailing experience. 

Except for one critical detail… 

There was no driver. 

The car that picked me up from the airport, drove me through Phoenix, and dropped me off at my house had no driver. 

It was a fully autonomous vehicle operated by Waymo, the self-driving unit at Alphabet Inc. (GOOG).

It’s been working on developing autonomous vehicle technology for over a decade now. For the past few years, it’s been quietly testing its technology through autonomous ride-hailing in Phoenix and a few other American cities. Folks in those areas can hail an autonomous Waymo and have it drive them from place to place. I bet many of you live nearby one of them and can try this yourself. 

That’s what I did for my trip from Phoenix Sky Harbor International to my house. (And in fact, I filmed that very ride so you can check out the experience for yourself.)

Waymo: Steering Us Into a Driverless Future

Waymo is currently delivering more than 150,000 autonomous rides per week in Phoenix, San Francisco, and Los Angeles. 

That’s a lot of rides! 

And they’re growing quickly. Just a few months ago, Waymo was only completing about 50,000 rides per week – meaning it tripled its ride volume in just a few months. 

We think that number will triple in the next few months, too. 

But we don’t find this technology so compelling based on popularity alone.

Did you know that Waymo’s self-driving cars are also proving far safer than their human-driven counterparts? The company’s autonomous vehicles have driven over 22 million miles. And in those 22 million miles, they have been involved in 84% fewer crashes with an airbag deployment, 73% fewer injury-causing crashes, and 48% fewer police-reported crashes compared to human drivers.

The Waymos have arrived, and they’re exceptionally safe.

Of course, the skeptics in the room may be saying that the firm is only operational in three cities. That’s far from being a “national” service.

But Waymo has plans to expand to 10 new metros in 2025, including Las Vegas, San Diego, Atlanta, Austin, and Miami. That means that by the end of the year, the company will be operational in 13 cities. 

There are only 17 cities in the U.S. with 750,000-plus people. And by the time 2026 comes around, Waymo will be delivering rides in 75% of them. 

It seems this is the year that Waymo goes national.

The stock market is in disarray right now, to put it mildly.

This week, the S&P 500 and Nasdaq both temporarily lost their 200-day moving averages – a potential signal of a major market trend reversal. 

Driving this negative price action are fears that the current administration’s policy changes – including federal spending cuts, tariffs, deportations, and more – could plunge the U.S. economy into a recession. 

We understand and share those concerns. The odds of a recession and bear market are rising rapidly. Caution is warranted given these risks. 

But at the same time, we think the odds of an economic recovery and stock market rebound are far higher. And stocks could be preparing to bounce right now.  

These Stock Market Wounds Are Self-Inflicted

Just a few months ago, the economy was in great shape. 

Unemployment was low. Job growth was high. Consumer spending was resilient. Real wage growth was positive and strong. Inflation was turning lower. Interest rates were dropping. Consumer and business sentiment were improving, and corporate earnings were running higher. 

While most of those things remain true today, investors fear that President Trump’s policy changes will reverse a lot of those positive economic trends. 

But such reversals would be the result of self-inflicted wounds. And the thing about self-inflicted wounds is that usually, you can stop imposing them at any point. 

We can stop issuing tariffs and widespread federal spending cuts at any point. And it seems like the current administration is moving to gradually stop – or at least stall – some of these things. 

Trump has now twice delayed some tariffs on Mexico and Canada and granted exemptions to a variety of sectors, like the auto industry. He also said that future job cuts in the government will be done with a “scalpel” and not a “hatchet,” implying more strategic, smaller cuts. 

It seems the tide is turning at the White House. Radical change will become less radical. If that continues, it should ease Wall Street fears about a potential recession in the coming months. 

That’s why we believe the odds of an economic recovery here are far greater than the odds of a meltdown. 

But we also aren’t smarter than the market… so we will listen to its cues about where the economy and stocks could go. And based on our technical analysis, the market will offer a lot of information over the next two weeks… 

What to Watch: the Nasdaq 100

The bellwether index we’re watching closely right now is the Nasdaq 100. 

We view it as even more important than the S&P 500. That’s because it includes the world’s largest 100 tech companies. And since we live in a tech economy, those are the most important, most powerful companies in the world. 

This week, as we mentioned, the Nasdaq 100 closed below its 200-day moving average – for the first time in over a year, signaling a potential major market trend reversal. 

It has done the exact same thing precisely 11 times before since 1990. 

All 11 times, the stock market was either on the cusp of a big rebound or a big breakdown – and which way it went depended on how stocks acted in the subsequent two weeks. 

If the Nasdaq 100 played strong defense and stayed within 4% of its 200-day moving average over the subsequent two weeks, stocks always rebounded over the next 12 months, with average gains of over 25%. 

This happened in early 1992, early ‘96, late ‘97, early 2004, mid-2010, late 2014, and late 2018.

But the outcome isn’t always so bullish…

Editor’s Note: The market may be turbulent, but innovation never stops — and that’s exactly why InvestorPlace Senior Analyst Louis Navellier remains confident. Amazon recently unveiled Ocelot, its first quantum computing chip, joining Microsoft and Google in a race to dominate this emerging tech frontier… and the next big investing opportunity. 

But let’s be honest — quantum computing is complex, and understanding its real impact on the market can be challenging. That’s why Louis is holding an urgent briefing on Thursday, March 13, at 1 p.m. ET… just one week before Nvidia’s big “Q Day” announcements. Click here now to register your spot for this free event.

Further, Louis and his team have put together a special series on quantum investing for his own e-letter… and he’s agreed to let us run one of those pieces here today.

“Generals always prepare to fight the last war, especially if they won it.”

French Prime Minister Georges Clemenceau supposedly said that during World War I.

The same applies to investing. Investors will often look at what worked before and assume it’ll keep working.

We’ve seen this happen with the dot-com bubble in the late 1990s. Investors threw money at any company with “.com” in its name, only for many of them to crash and burn. Then, in the 2000s, investors bet big on brick-and-mortar retail giants like Sears and JCPenney, missing the rise of e-commerce and Amazon.com Inc. (AMZN).

During the beginning of the AI Revolution, arguably the biggest technological shift of our time, some investors stuck with legacy tech stocks like Intel Corp. (INTC).

This was once an iconic American company. But take one look at Intel’s chart below. The chipmaker’s stock is down about 63% over the past five years.

What makes this drop even more shocking is the fact that all of Intel’s missteps happened as the AI Revolution picked up steam.

So, competitors like NVIDIA Corp. (NVDA) came along and revolutionized the semiconductor industry and become the clear-cut leader of the AI race.

Intel was fighting the last war.

Meanwhile NVIDIA surged ahead, dominating the AI Revolution, thanks to its graphic processing units (GPUs), which proved to be far superior to CPUs (central processing units) for AI work. That’s when everything changed. All of a sudden, everyone doing AI was clamoring for NVIDIA’s chips, and the AI arms race was on.

As a result, few companies have profited from this profound shift more than NVIDIA. 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 you have to wonder: How much longer can NVIDIA keep this up?

By the end of this decade, I predict 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.

So, is NVIDIA fighting the “last war”?

I don’t think so.

I think NVIDIA plans to utilize quantum computing to dominate the next phase of the AI Revolution.

Now, you are going to start hearing more about quantum computing very soon. And that’s because, on March 20, NVIDIA will hold the first ever “Quantum Day” at their annual AI conference…

Or what I’m calling “Q Day.”

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…

And that announcement won’t just be great for NVIDIA. It’ll also be great for select “pure play” quantum computing companies that are partnering with NVIDIA.

Remember: The biggest gains will likely come from smaller “pure play” quantum computing companies.

These are the ones that 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 detailsyou 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, I’ll explain the ins and outs of quantum computing, including how NVIDIA is getting in on the action. It’s important to understand what quantum computing is and how it works.

Plus, I’ll share two ideas for how you can profit.

Let’s dive in…

What Is Quantum Computing?

I want you to 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. In other words, teaching it to “think.”

This level of reasoning is basically what we refer to when we’re talking about artificial intelligence.

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. And instead of traditional bits, which are either 1 or 0, quantum computers use something called qubits, which can be 1 and 0 simultaneously – a property called superposition.

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 ultra-fine role of powering the advanced semiconductors that run in every modern computer.

Quantum computing is now ready to make that same jump.

In fact, we’re already seeing real-world breakthroughs…

Quantum’s Move to the Mainstream

For years, quantum computing was limited to government agencies and university research labs because the hardware was too big, too expensive, and too unstable for real-world applications.

But thanks to some key advances, that’s changing.

Big Tech companies like Alphabet Inc. (GOOG), Microsoft Corporation (MSFT) and Amazon.com, Inc. (AMZN) are developing custom quantum chips that can perform computations in seconds that would take classic supercomputers thousands of years to finish.

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 out of the lab and 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, folks. With quantum computing, we’re going to start solving problems we don’t even know we have.

And that brings us to the investment opportunity.

I’m Looking for the Next NVIDIA…

Now, as I mentioned earlier, I expect NVIDIA to begin the shift to quantum computing soon.

In fact, I predict a major turning point will take place on Thursday, March 20.

That’s when NVIDIA hosts its first-ever Quantum Day.

This is a big deal, folks.

My prediction is that NVIDIA 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. That’s my Profit Idea No. 1.

But if you really want to make big gains, you have to start looking at the “pure play” quantum companies that NVIDIA and other Big Tech companies are partnering with. That’s my Profit Idea No. 2.

To learn more about that strategy, join me at my special Next 50X NVIDIA Call. Again, it’s on Thursday, March 13, at 1 p.m. Eastern. (You can click here to reserve your spot now.)

My goal for this briefing is to get you ahead of the crowd… ahead of 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,

Louis Navellier

Senior Analyst, InvestorPlace

Louis hereby discloses that as of the date of this email, the Editor, directly or indirectly, owns the following securities that are the subject of the commentary, analysis, opinions, advice, or recommendations in, or which are otherwise mentioned in, the essay set forth below:

NVIDIA Corporation (NVDA)

The Next Market Move that Could be Bigger Than AI

I’m old enough to remember 1992, and maybe you are too. If not, imagine…

There is no Google, no Amazon and certainly no smartphones.

Maybe you watched Seinfeld on TV, and went to see Batman Returns at the movies.

I was listening to Nirvana’s Nevermind album on CD.

Although it existed, most people had not even heard of the Internet.

In those days if you wanted to send a message, you didn’t sent email – you picked up the phone or sent a fax. Email was used mostly inside businesses. AOL started to offer email access in the mid-‘90s.

Services we take for granted now either didn’t exist or were in their infancy.

Imagine if you could have seen what was coming. Imagine if you could have foreseen all the online services we take for granted today.

And what if you had invested in them?

If you had foresight, you might have bought Cisco Systems (CSCO), the company that built a lot of the infrastructure the Internet needed. Cisco went public in 1990 at a split-adjusted price of 6 cents. In 1992, CSCO was selling for around 31 cents.

By the start of 1997, the stock had gained more than 10X. By 2000, it had soared 100x.

Right now, we’re experiencing another revolution – this time in artificial intelligence (AI).

And the next step in the revolution is just now emerging on the horizon.

Just like Cisco built the plumbing for the Internet, a new pioneer is laying the groundwork for technology that will impact trillions of dollars in the global economy.

The “Magnificent 7” stocks are making big bets on this tech, and Louis Navellier is pointing toward this opportunity now.

Nvidia’s Next Big Move Could be Bigger

If you’re new to the Digest, Louis Navellier is a growth investing legend. MarketWatch hailed him as “The Adviser Who Recommended Google Before Anyone Else.”

And we’ve often highlighted his 2016 recommendation for his subscribers to buy Nvidia (NVDA).

Since that call, NVDA has become one of the biggest companies in the works, surpassing a $3 trillion market cap.

If you’ve held on since 2016…NVDA has soared as high as 7,000%.

Now, Louis is focused on the next phase of this technological breakthrough, and it’s adjacent to the trend that made NVDA a market leader.

It’s all about quantum computing.

Here is Louis’ explanation of Nvidia’s next move and the opportunity ahead.

Through the end of this decade, I predict the transistors in each of NVIDIA’s chips will be approaching the “atomic” level. So, sheer physics may prohibit it from making its chips any faster.

That’s a way off. But looking beyond this decade, NVIDIA plans to utilize quantum computing – a form of computing that essentially utilizes ones AND zeroes to perform calculations instead of either a 1 or 0, like traditional computing.

Why is that important?

Quantum computing has the potential to solve complex problems exponentially faster than traditional computers.

Not just a little faster… quantum computers can solve problems in minutes that would take classical computer years, or even centuries!

That means new possibilities in:

• scientific discoveries in the material behavior
• faster drug development
• revolutionary advances in materials science, and
• enhanced fraud detection and risk analysis in financial transactions.

Here is more from Louis:

I predict NVIDIA will help lead the charge to a breakthrough in this field to help speed up generative AI after its GPUs hit their physical limits. In fact, NVIDIA has a quantum cloud simulator up and running right now.

The point is that you are going to start hearing more about quantum computing in the years to come. And while NVIDIA is a remarkable company, and I anticipate holding this stock through the end of the decade, the biggest gains will likely come from smaller, dedicated quantum computing companies.

How Early Investors in Booms Get Rich

Louis has a long track record of finding just those kinds of “smaller, dedicated” companies in his Breakthrough Stocks service.

Louis launched Breakthrough Stocks in 1980. It’s the service that put his quantitative investing strategy on the map! Since then, it has evolved into Louis’ premium service dedicated to finding small-cap, early-stage companies that are setting up to be the market leaders of the future.

As always, the essence of Louis’ strategy is the same – invest only in companies with stellar fundamentals.

But with small-cap stocks, not every variable is equally weighted.

Small-cap stocks with strong sales and earnings growth routinely outperform the market.

When you combine fundamental strength factors with an emerging technology, the impact on a stock’s price can be explosive.

Below are some of the winners from Louis’ recent closed trades:

• Rambus Inc (RMBS), 1/3 position closed for a 159% gain in 16 months.
• CECO Environmental Corp (CECO), closed for a 152% gain in 25 months.
• e.l.f. Beauty, Inc. (ELF), closed for a 69% gain in 16 months.

Here is how Louis describes his next big opportunity:

If you really want to make big gains, you have to start looking at the “pure play” quantum companies that NVIDIA and other Big Tech companies are partnering with.

To learn more about that strategy, you need to be prepared. So, that’s why I want to join me on Thursday, March 13, at 1 p.m. Eastern.

That’s when I’m hosting my exclusive briefing: The Next 50X NVIDIA Call.

My goal for this briefing is to get you AHEAD of the crowd… AHEAD of the news outlets…

Unlike the early internet days, where only a few visionaries saw what was coming, this time you have a chance to invest early.

Reserve your seat now for Louis exclusive briefing The Next 50X NVIDIA Call!

Enjoy your weekend,

Luis Hernandez

Editor in Chief, InvestorPlace

Editor’s Note: Everyone dreams of finding that 10X winner.

The reality? Many investors have owned a stock that would go on to be a 10X winner, but they sold it somewhere along the way due to fear.

Today, my colleague Louis Navellier will provide a great illustration: Nvidia Corp. (NVDA). Since Louis recommended it in May 2019, the stock has surged over 3,000% – but not without massive volatility (the latest example is the 20% pullback in recent weeks after the arrival of Chinese AI firm DeepSeek).

As Louis details, market narratives shift, but fundamentally strong stocks recover, which Nvidia has done. The chip giant remains a powerhouse, leading the AI revolution. And though Louis believes it still has room to run, it won’t be the only next big AI winner.

Louis has identified seven under-the-radar companies primed for massive gains as AI has its Crossover Moment – expanding beyond digital applications into real-world automation, infrastructure, and industry.

The biggest profits will go to those who see what’s coming next. Take it away, Louis…

If you could make a better than 1,000% gain in a stock, would you invest in it?

Virtually every investor would answer that question with a resounding “Yes!”

But holding a stock long enough to get that big of a return is much easier said than done. The reality is that a stock never moves straight up. To walk away with a 1,000%-plus profit, you have to endure swings in stock prices, sometimes so severe that they’ll have you reaching for your antacids.

Case in point: Nvidia Corporation (NVDA).

In my 47 years on Wall Street, Nvidia is my biggest winner – up more than 3,000% since I recommended it back in May 2019.

In today’s note, I want to remind you of NVIDIA’s somewhat obscure origins (unless you’re a gamer)… and how a surprising twist in how its technology worked brought it to my attention.

That’s an interesting story.

A more crucial story is what exactly hit NVIDIA’s share price earlier this year… and where its next leg up will come from. So, we’ll take a look at that, too.

That said, while I still think it has plenty of room to run, the next chapter of the AI story won’t be written by NVIDIA.

So, I’ll also start digging into where the next wave of AI profits is coming from. NVIDIA’s CEO says it’s a $100 trillion opportunity.

And I’ve identified seven fast-rising ways to play it already.

Take a look…

Why I Recommended Nvidia

Nvidia is a leading computer graphics company that makes graphics processing units (GPUs).

Originally, graphics were only prized by video game enthusiasts. But it turns out that GPUs have a wide range of powerful applications. They can be used to aid computers in applications like financial modeling, oil and gas exploration, virtual reality and even self-driving cars.

So, in the late 2010s, Nvidia began receiving some unusual orders. Not only were crypto enthusiasts buying up high-end GPUs to mine bitcoin… but machine-learning researchers were also using the cards to train their models.

It turns out that GPUs are really good for something called “parallelization.” This is where you break down a large computational task into smaller ones that can be calculated independently and simultaneously. That makes GPUs extremely powerful – far more than even the best central processing units (CPUs) in these types of computations.

Data storage provider Pure Storage estimates that GPUs are roughly three times faster than an equivalent CPU for machine-learning algorithms. That is an enormous advantage in a world where large models can require months to train and cost millions of dollars.

That put Nvidia on the fast track to success. Thanks to its portfolio of valuable patents and internal research, Nvidia got an enormous head start on the AI Boom. No company came close.

What originally got me excited about Nvidia was what it was doing with the development of autonomous vehicles. My son was an engineering student at Stanford when that university debuted an autonomous race car named “Shelley” that used Nvidia chips.

Back in 2019, when I learned what Nvidia was planning to do with AI, I pulled the trigger and added it to the Buy List at my large-cap newsletter, Growth Investor.

Now, as I mentioned, it’s now up more than 3,000% since my recommendation, but those gains didn’t come easily. As you can see in the chart below, NVDA has experienced some wild swings…

One of those swings came just a couple of weeks ago, on January 27, when shares of Nvidia lost 17%. That’s a staggering $589 billion loss in market cap – the largest one-day value destruction for a single stock in market history.

The reason? A Chinese AI company called DeepSeek.

Here’s the story…

How to Survive a Painful Drawdown

On January 20, a Chinese AI company, DeepSeek, released a new AI model called R1 that it claims is nearly on par with American AI models. In fact, DeepSeek claims the R1 model has a comparable performance to OpenAI’s o1-mini model for ChatGPT.

What’s more, it utilizes inferior Nvidia chips, called H800s, that are compliant with the export bans that were put in place by the Biden administration.

Oh, and the company claims it was built in about two months and cost just $5.6 million to train.

As a result, DeepSeek became the No. 1 app downloaded from the Apple Inc. (AAPL) App Store.

Wall Street and the tech world began to put all of this together at the end of January. And it hammered AI stocks… and the market as a whole. The fact is that DeepSeek caused everyone to start questioning the entire roadmap of how AI is supposed to evolve.

Some investors began wondering whether the U.S. tech sector will win the AI race – for two big reasons…

1. Cost Efficiency: If DeepSeek’s AI models perform similarly to American AI models at a fraction of the cost, then it means American programmers and engineers missed something. And it throws into question the U.S. lead on AI development.
2. Reduced Hardware Usage: DeepSeek has stated that it uses far fewer chips for AI training. A report released in December showed it only used a cluster of more than 2,000 Nvidia chips to train its V3 model, while five times that number is typically used for similar AI training models.

Both raised concerns that Nvidia was overvalued… and triggered questions about the necessity for more data centers and an electricity grid buildout.

However, we have since learned that DeepSeek isn’t as great as it was made out to be. For one, the app crashes about 99% of the time. Apparently, DeepSeek doesn’t have the cloud computing capacity needed to run it. It’s also been the victim of a cyberattack.

Most importantly, the narratives that DeepSeek could use the old Nvidia chips and that Nvidia’s new ones weren’t necessary were completely false.

Once this was revealed, AI stocks came roaring back. NVDA has gained 11% in less than three weeks – which is impressive for such a large company.

The point is, if you want to bag a 1,000% gain, there are going to be bumps along the way.

There will be headlines, setbacks, naysayers, you name it… Any one of these could derail a stock.

But the fundamentally superior stocks – like Nvidia – always bounce back.

The Next Leg Higher – and a $100 Trillion Opportunity

Now, I have gone on record saying that there will be more gains ahead for NVIDIA. In fact, I have even called it the Stock of the Decade.

In other words, this stock will change your life.

The fact is that NVIDIA’s pace of innovation isn’t slowing down, folks. It’s accelerating.

Eventually, the transistors in each of Nvidia’s chips will approach the “atomic” level. Then, the laws of physics will come into play. But that’s OK, because then Nvidia will move on to quantum computing.

We’re still a ways off from that. But the good news is that there is another major catalyst that should not only help NVDA recoup its DeepSeek losses, but also get back to new highs.

I’m talking about its fourth-quarter earnings report on Wednesday, February 26.

Analysts are calling for earnings of $0.85 per share on revenue of $38.13 billion, up from earnings of $0.52 per share and revenue of $22.1 billion a year ago. That translates to 63.5% year-over-year earnings growth and 72.5% year-over-year revenue growth. Analysts have upped earnings estimates over the past three months, so a fifth-straight earnings surprise is likely.

Now, Nvidia has a history of posting positive earnings surprises. So, I’m expecting big things from the stock as we approach its earnings announcement.

I will also be particularly interested to hear from its superstar CEO, Jensen Huang, and his thoughts on what he has previously referred to as a $100 trillion opportunity…

Specifically, Huang was referring to a critical turning point for artificial intelligence – one where AI breaks out of the digital world and steps into the real one – running self-driving cars and equipment, automating factories, training robotic workers… even building “digital twins” of entire cities.

This shift is massive. And investors who see where it’s headed right now stand to benefit the most.

I call this AI’s Crossover Moment – and it could create more wealth than any other tech boom in history.

This is where AI stops being a “cool tool” and starts actively transforming industries, infrastructure and daily life.

That means the biggest profits won’t be in just NVIDIA’s chips…

They won’t necessarily be in Big Tech at all.

But my proven system has generated Buy-grades on seven under-the-radar companies that I believe are ready to surge as this $100 Trillion AI Crossover moment unfolds.

Go here for details NOW.

Sincerely,

Louis Navellier

Senior Investment Analyst, InvestorPlace