The Unstoppable Monster Stock Defying Market Gravity in 2025
Wall Street's favorite beast just won't quit—while traditional portfolios bleed, this juggernaut keeps minting gains. Here's why the 'monster' narrative still holds.
The anatomy of a market-crushing machine
No pullbacks. No corrections. Just relentless upward momentum that's left short sellers nursing billion-dollar wounds since January. When the S&P 500 coughed up 8% last quarter, our monster roared ahead by 34%.
Fueling the frenzy
Retail traders pile in like it's 2021 meme-stock mania all over again—only this time, the institutional whales are leading the charge. Volume hit $12B/day last week, making it the most traded equity instrument globally (eat your heart out, Bitcoin ETFs).
The cynical footnote
Of course, every monster eventually meets its Van Helsing. For now? Enjoy the ride—just remember Wall Street's oldest adage: 'The market can stay irrational longer than you can stay solvent.'
Image source: Getty Images.
1. Its semiconductor designs are unrivaled
Many tech companies, including,,,, and others, are building out their AI software systems, investing in artificial intelligence data centers and infrastructure, and collectively spending hundreds of billions of dollars to compete with each other.
But Nvidia doesn't have this same pressure to keep up because it's already the far-and-away leader in AI semiconductors with an estimated 70% to 95% of the market. Nvidia doesn't actually make the processors it designs; it hiresto do that, and Nvidia's latest AI chip designs, like its new Blackwell Ultra and Vera Rubin, should keep going for many more years.
2. Sales and earnings are through the roof
Nvidia's sales rose 114% to $130.5 billion in fiscal 2025, and earnings per share spiked 147% to $2.94. For the second quarter of fiscal 2026, management says revenue will be about $45 billion, which WOULD be more than double sales from the year-ago quarter.
The company's ability to capitalize on all of its AI semiconductor demand and become massively profitable has been one of Nvidia's biggest advantages. Some AI companies are popular with investors right now, and their revenue may even be rising, but profits are still a long way off for some. This makes Nvidia a standout investment in the AI world right now.
3. Management is on point
Some companies are plagued by problems in their C-suite, which can cause the company to lose focus on long-term goals or lack the stability to implement good ideas. For example, the AI data analytics companyhas been through three CEOs in four years. That's hardly a recipe for success.
Meanwhile, Nvidia has been run by one of its co-founders, Jensen Huang, for more than 30 years. Huang's stable leadership and long-term thinking have helped his company spot trends before they've fully emerged, like leaning into designing GPUs for gaming and then shifting focus to AI.
4. The AI data center market is still expanding
It's unrealistic to think that large technology companies will always need more AI processors for their data centers, but it's also premature to assume that they don't need more now. Meta, Microsoft, and Amazon are currently spending hundreds of billions of dollars to build new data centers and upgrade existing ones. These investments are driving huge semiconductor sales for Nvidia, and it could be many more years before that slows down.
Nvidia's Huang estimates tech companies will spend about $2 trillion on data center infrastructure over the next few years. And considering that this is still in the early innings of AI, there could be more opportunities for Nvidia's processors down the line that tech companies haven't even thought of yet.
5. Nvidia continues to invest in its future
Investors need only look to, which missed the tech shift to mobile and is largely missing out on AI, for a quick lesson on the need to continually innovate. Thankfully, Nvidia appears to be doing this well, too.
The company spent nearly $13 billion on research and development in fiscal 2025 -- about 10% of its revenue -- and has been at the forefront of developing new processors and software for emerging trends, including autonomous vehicles and robotics. There are no guarantees Nvidia will successfully catch every trend, but its past and current success prove Nvidia has what it takes to spot new ones.
While there are many good AI stocks to buy right now, this list shows why Nvidia's success isn't just a flash in the pan and why the tech behemoth just might be able to continue crushing the market for years to come.