We recently published our article Top 5 Stocks That Could Make You a Millionaire Over the Next 3 Years. To read the full story, you can go directly to Top 10 Stocks That Could Make You a Millionaire Over the Next 3 Years. In this article, we discuss NVIDIA Corporation (NASDAQ:NVDA) as one of the stocks gaining attention, and here’s a closer look at why it stands out in today’s market.

The stock market has a funny way of testing investors’ patience. Just when Wall Street starts worrying that the artificial intelligence trade may be getting crowded, stretched, or simply too obvious, another earnings report comes out and reminds everyone why the bullish crowd has not disappeared. That was the broader message from veteran market watcher Ed Yardeni, President of Yardeni Research, when he appeared on CNBC Television on June 26 to discuss the current state of the market, corporate earnings, artificial intelligence spending, and why some of the best stocks to buy now may still have room to run over the next three years.

Yardeni has been one of the more visible bullish voices in the market, and his argument has not been built on hype alone. Instead, he has repeatedly pointed to what he calls “FEMO,” or Fabulous Earnings Momentum. It is a catchy phrase, but behind it is a serious market idea: stocks tend to perform well when earnings continue to surprise on the upside, profit margins remain durable, and corporate America keeps finding ways to grow even in a higher-rate, more selective investment environment. For investors searching for the best long-term stocks, growth stocks to buy, high-upside stocks, artificial intelligence stocks, technology stocks, and stocks that could make investors rich over the next three years, that earnings momentum matters more than short-term market noise.

The current market is not exactly quiet. Investors are still debating interest rates, inflation, valuation, recession risk, Federal Reserve policy, and whether the AI boom is becoming too expensive. But Yardeni’s point is that the market’s foundation remains stronger than many bears expected. Earnings have held up. Big technology companies continue to spend aggressively. Demand tied to artificial intelligence infrastructure remains alive. And even when parts of the market look slow, the weakness may not be a sign of collapse. It may simply be the market catching its breath after a powerful AI-driven rally.

The Market Is Tired of AI Talk, But Not AI Spending

One of the most interesting parts of Yardeni’s CNBC appearance was his discussion of what he described as AI fatigue. Investors have heard the same artificial intelligence story for months: more chips, more servers, more data centers, more cloud computing, more power demand, and more capital expenditure from hyperscalers. At some point, even a strong story can begin to feel overused. That is exactly why some traders have become more cautious toward AI stocks and mega-cap technology stocks, even though the underlying demand picture remains strong.

That is where Micron’s earnings came in as a useful reminder. Yardeni highlighted Micron’s results as evidence that AI hardware demand is still real. The point is simple: artificial intelligence is not just a software story. It is also a hardware, memory, semiconductor, cloud infrastructure, data center, electricity, cooling, and networking story. Every AI model that becomes more powerful requires more computing capacity. Every company that wants to compete in generative AI needs access to better infrastructure. Every hyperscaler that wants to stay ahead must keep building. That is why semiconductor stocks, data center stocks, cloud computing stocks, and AI infrastructure stocks continue to attract attention from long-term investors.

There is also a trivia-like angle here that many casual investors miss. The AI boom is not only about the companies with the most famous chatbots or the most popular consumer-facing applications. Some of the biggest winners in major technology cycles have often been the “picks and shovels” companies, or the firms that provide the infrastructure behind the boom. During the gold rush, not everyone found gold, but the businesses selling tools, transport, and supplies often made consistent money. In the AI era, that same logic applies to chipmakers, memory suppliers, cloud platforms, equipment companies, power infrastructure firms, and the hyperscalers building the digital factories of the future.

Why Hyperscaler Spending Has Become the Market’s Big Question

A major concern among investors is whether hyperscalers are raising and spending too much money on artificial intelligence capital expenditure. The worry is understandable. Data centers are expensive. Advanced chips are expensive. Power supply is expensive. Talent is expensive. The entire AI race requires enormous upfront investment before the full profit opportunity becomes clear. For some investors, that raises a serious question: are the biggest technology companies building the next great profit engine, or are they overspending into a bubble?

Yardeni’s answer leaned toward patience. He noted that many of these hyperscalers are not speculative start-ups with weak balance sheets. They are well-established companies with strong fundamentals, deep cash flows, experienced management teams, and proven business models. In other words, the companies spending heavily on AI are often the same companies that already dominate cloud computing, digital advertising, enterprise software, e-commerce, mobile ecosystems, and online services. That does not remove risk, but it does make the AI capital expenditure story different from a typical market mania funded only by hope.

This is important for anyone looking for stocks with strong upside potential over the next three years. If the hyperscalers are right, today’s aggressive data center spending could become tomorrow’s profit machine. If they are wrong, the market may punish companies that invested too much too quickly. The more balanced view is that investors do not need to assume every AI project will become a massive success. They only need to recognize that the companies with the strongest balance sheets, largest customer bases, and deepest infrastructure advantages may be better positioned to turn AI investment into long-term earnings growth.

Earnings Momentum Is Still the Main Character

For all the excitement around artificial intelligence, the real market driver remains earnings. That is why Yardeni’s FEMO thesis deserves attention. Stock prices can move on headlines in the short term, but over longer periods, earnings growth usually does the heavy lifting. The best stocks to buy and hold are often companies that can grow revenue, protect margins, reinvest capital wisely, and expand profits faster than the broader market expects.

That is also why investors continue to search for high-growth stocks, undervalued stocks, Wall Street analyst picks, hedge fund favorite stocks, and long-term stock market winners. A company does not need to be perfect to become a strong investment. It needs a clear growth path, durable demand, credible management, and enough earnings power to justify a higher valuation over time. In a market driven by both AI optimism and earnings discipline, the best opportunities may come from companies that sit at the intersection of innovation and financial strength.

Another interesting trivia point is that market leadership often changes quietly before most investors notice. The stocks that dominate one cycle are not always the same stocks that lead the next one. In the early days of the internet, many investors focused only on the most obvious names. Later, the winners included companies that built platforms, controlled distribution, scaled infrastructure, or monetized user behavior better than competitors. The AI cycle may follow a similar pattern. Some winners may come from familiar mega-cap technology names, while others may emerge from semiconductors, enterprise software, cybersecurity, energy infrastructure, healthcare technology, financial technology, or industrial automation.

Why the Next Three Years Could Matter for Investors

A three-year investing window is long enough for a powerful business trend to show real results, but short enough for market expectations to change quickly. That is why the idea of “10 stocks that could make investors rich over the next three years” is compelling. It speaks to a very specific kind of opportunity: companies that may not simply perform well, but could potentially outperform the broader market if their earnings, business models, and industry tailwinds continue to improve.

Of course, no serious investor should believe that any stock is guaranteed to make anyone rich. Markets do not work that way. Even the best stocks face risks, including valuation pressure, earnings misses, competition, regulatory issues, interest rate changes, and sudden shifts in investor sentiment. But history also shows that some of the biggest stock market winners are born during periods of doubt. When investors are nervous about spending, valuation, or whether a trend is overhyped, that is often when the strongest companies separate themselves from the rest.

For growth investors, the next three years may be shaped by several major themes: artificial intelligence adoption, data center expansion, semiconductor demand, cloud computing growth, digital transformation, automation, healthcare innovation, defense technology, energy transition, and the continued rise of companies with scalable business models. For value investors, the opportunity may come from high-quality companies that remain overlooked because the market is too focused on the biggest AI names. For long-term investors, the key is not simply finding popular stocks, but identifying companies with the earnings power and competitive advantages to survive market volatility and compound over time.

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Our Methodology

To come up with our ranking for the top 10 stocks that could make you a millionaire over the next 3 years, we reviewed reputable financial media lists, identified the stocks most frequently highlighted for long-term upside potential, and ranked them based on hedge fund ownership data and overall institutional interest.

Top 5 Stocks That Could Make You a Millionaire Over the Next 3 Years

3. NVIDIA Corporation (NASDAQ:NVDA)

NVIDIA Corporation (NASDAQ: NVDA) ranks third among the Top 10 Stocks That Could Make You a Millionaire Over the Next 3 Years, and even after its massive run, it remains the stock that many investors still treat as the heartbeat of the artificial intelligence boom. Trading at $192.53, with the stock down 1.64%, NVIDIA Corporation (NASDAQ: NVDA) remains one of the most important semiconductor stocks, AI chip stocks, data center stocks, GPU stocks, and long-term growth stocks in the market. The company is backed by 275 hedge fund holders, which reflects the scale of institutional interest in the AI infrastructure trade. NVIDIA Corporation (NASDAQ: NVDA) has become more than a chip company in the eyes of Wall Street. It is now viewed as one of the core infrastructure providers behind generative AI, autonomous systems, robotics, scientific computing, cloud platforms, and advanced data centers.

On June 24, CNBC reported that NVIDIA Corporation (NASDAQ: NVDA) CEO Jensen Huang made a clear statement about where the company stands when national security and commercial opportunity collide. Huang said that if a business conflict arose with US interests, NVIDIA Corporation (NASDAQ: NVDA) would side with America. That statement matters because NVIDIA Corporation (NASDAQ: NVDA) sits at the center of a very sensitive global technology race. Its chips are critical for training and running advanced AI models, which makes them strategically important not only for companies but also for governments. Investors watching NVIDIA Corporation (NASDAQ: NVDA) need to understand that this is no longer just a normal supply-and-demand semiconductor story. It is also a story about export controls, national security, China restrictions, AI competition, and geopolitical risk.

Huang also addressed the issue of chip smuggling and argued that sneaking NVIDIA Corporation (NASDAQ: NVDA) hardware into restricted countries like China would be largely useless if the company does not provide support or repairs. According to Huang, without ongoing technical support, trying to build a functioning AI data center from smuggled parts is essentially “a dead end.” That is a powerful point because NVIDIA Corporation (NASDAQ: NVDA)’s advantage is not only the physical chip. Its moat also includes software, support, systems integration, CUDA, networking, developer tools, and a full ecosystem that customers rely on to build real AI infrastructure. This is why NVIDIA Corporation (NASDAQ: NVDA) has been able to defend its leadership even as rivals try to challenge its dominance in AI accelerators.

NVIDIA Corporation (NASDAQ: NVDA)’s China exposure remains a key issue. Huang noted that NVIDIA Corporation (NASDAQ: NVDA)’s chips have faced restrictions since 2022. While the US eventually cleared the H200 chip for export to China, NVIDIA Corporation (NASDAQ: NVDA) has yet to generate revenue from those approvals and remains uncertain whether China will even allow imports. China accounted for roughly 9% of NVIDIA Corporation (NASDAQ: NVDA)’s fiscal 2026 revenue, and that share has been shrinking. For some investors, that may sound like a warning sign. For others, it shows that NVIDIA Corporation (NASDAQ: NVDA) has become less dependent on China than before, especially as demand from US hyperscalers, cloud providers, enterprise customers, and global AI developers continues to expand.

Huang also addressed concerns about AI’s return on investment, which has become one of the biggest debates in the market. Some investors worry that companies are spending too much money on AI infrastructure without seeing enough revenue or profit in return. Huang’s response was direct: every time AI generates useful code using NVIDIA Corporation (NASDAQ: NVDA)’s systems, the company becomes more profitable. He also pointed to GitHub pull requests nearly tripling this year as evidence that AI-assisted software development is becoming more productive. That matters because if AI is already improving developer productivity, then the demand for AI infrastructure may have a stronger business case than skeptics believe.

NVIDIA Corporation (NASDAQ: NVDA) is a fabless semiconductor and AI computing company that designs GPUs, AI accelerators, application programming interfaces, and system-on-a-chip units. Through its CUDA ecosystem, NVIDIA Corporation (NASDAQ: NVDA) enables industries ranging from autonomous vehicles to scientific research by advancing AI, accelerated computing, and data center infrastructure. For investors searching for best AI stocks, semiconductor stocks to buy, data center stocks, GPU stocks, and millionaire-maker stocks, NVIDIA Corporation (NASDAQ: NVDA) remains one of the most important names in the market. The valuation may be demanding, and geopolitical risks are real, but NVIDIA Corporation (NASDAQ: NVDA) still sits at the center of one of the biggest technology investment cycles in modern market history.

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Disclosure: No material interests to disclose. This article was originally published on Global Market Bulletin.