5 AI Stocks That Could Be the Next Nvidia Before Wall Street Figures It Out

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By David Beren Updated Published
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5 AI Stocks That Could Be the Next Nvidia Before Wall Street Figures It Out

© BING-JHEN HONG / iStock Editorial via Getty Images

NVIDIA (NASDAQ:NVDA | NVDA Price Prediction) did not become a trillion-dollar company simply by making the best chips. It became one because it was the only company able to deliver what the AI industry needed at the exact moment of peak demand. That structural indispensability is what turns a stock into a generational winner, and it is what leads every serious investor to ask: Who is the next NVIDIA?

While the GPU shortage defined the last two years, the binding constraints for 2026 and beyond have shifted. The real bottleneck today is the physical infrastructure required to make those chips useful: cooling systems, high-speed networking, and optical interconnects. Hyperscalers are spending hundreds of billions in capital expenditures this year, and a growing share of that spending is flowing to companies sitting at these supply chain chokepoints.

The five companies below are not speculative plays. They have accelerating revenue, record backlogs, and direct relationships with NVIDIA. Yet the market has not fully priced in the value of their indispensable positions.

Why the Physical Layer Is Where the Next NVIDIA Lives

NVIDIA’s GPUs are useless without the infrastructure to power, cool, and move signals between them at the speed AI demands. As clusters scale past 100,000 GPUs, every one of these functions becomes a potential bottleneck, making the companies that solve these problems increasingly essential to the AI buildout.

1. Vertiv Holdings

While NVIDIA ships the chips, Vertiv Holdings (NYSE:VRT) keeps them alive. The company manufactures the power distribution and thermal management systems that high-density data centers require to function. As GPU racks push past 100 kilowatts, liquid cooling has shifted from an optional upgrade to a physical necessity.

Q1 2026 earnings confirm that dominance. Vertiv reported $2.65 billion in revenue, up 30% year over year, with Americas organic sales expanding 44% on surging data center demand. The project backlog now exceeds $15 billion, covering roughly 12 to 18 months of forward revenue at current run rates. After the strong quarter, management raised full-year 2026 revenue guidance to $13.5 billion to $14.0 billion, up from the prior range, as power infrastructure remains the primary binding constraint on how fast hyperscalers can deploy new AI capacity.

2. Astera Labs

Every rack of NVIDIA GPUs depends on Astera Labs (NASDAQ:ALAB) retimers to function. Its smart DSPs ensure data flows between components without signal degradation, effectively serving as the connective tissue inside the GPU rack itself. In the Q1 2026 report, revenue reached $308.4 million, a 93% year-over-year increase, driven by robust demand for the PCIe 6 portfolio and the rollout of the new Scorpio X-Series 320-lane AI fabric switch. GAAP gross margin hit 76.3%, reflecting the pricing power of a genuinely scarce component.

The forward picture is just as compelling. Astera guided Q2 2026 revenue to $355 million to $365 million, well above Wall Street consensus, as Scorpio volumes continue to ramp. While the stock saw volatility tied to an Amazon warrant agreement that will pressure near-term gross margins modestly, the structural position remains intact. With the connectivity market estimated at $25 billion over the next five years, Astera’s near-doubling annual revenue cements its profile as an essential AI infrastructure pillar.

3. Micron Technology

AI servers require triple the memory of standard servers, and the specialized high-bandwidth memory (HBM) feeding NVIDIA’s GPUs remains in a structural shortage. Micron Technology (NASDAQ:MU), the only American HBM manufacturer, has committed its 2026 HBM capacity under long-term supply agreements with key AI customers, and volume shipments of its next-generation HBM4 are already underway for the NVIDIA Vera Rubin platform.

The financial trajectory has accelerated well beyond what the market anticipated earlier this year. Micron reported fiscal Q3 2026 revenue of $41.46 billion, a 346% year-over-year increase, with an adjusted gross margin of 84.9%. Management then guided fiscal Q4 2026 revenue to $50 billion, a figure larger than the company’s entire revenue for fiscal 2024. The HBM total addressable market is projected to exceed $100 billion in 2027, and Micron’s next-generation HBM4E is on track for volume production in calendar 2027, ensuring that demand remains a durable catalyst well beyond the current cycle.

4. DigitalOcean

As the AI market matures, the focus is expanding beyond physical hardware to the inference and agentic cloud layers. DigitalOcean (NYSE:DOCN) has carved out a distinct position by providing simplified GPU instances and AI development tools for smaller firms priced out by hyperscalers. The company now describes itself as the AI-Native Cloud built specifically for inference and agentic workloads.

Q1 2026 results validated that pivot. Revenue reached $258 million, up 22% year over year, while AI customer annual recurring revenue surged 221% to $170 million. The stock has gained more than 230% over the past year as investors recognized the secondary wave of AI adoption that the largest cloud providers are not positioned to capture efficiently. Management raised both 2026 and 2027 revenue outlooks after the quarter, with 2027 growth now expected to exceed 50%.

5. Lumentum Holdings

Without optical components from Lumentum Holdings (NASDAQ:LITE), NVIDIA’s scale-out architectures simply cannot function at the speeds AI demands. Lumentum produces the lasers and transceivers that carry data across massive GPU clusters. NVIDIA validated this dependency directly on March 2, 2026, announcing a $2 billion equity investment in Lumentum alongside a multibillion-dollar purchase commitment and future capacity access rights for advanced laser components, with the partnership also funding a new U.S.-based fabrication facility.

The business results have matched the strategic narrative. Lumentum reported fiscal Q3 2026 net revenue of $808.4 million, up 90% year over year, with GAAP net income of $144.2 million reversing a prior-year loss. Non-GAAP operating margin expanded to 32.2%. For fiscal Q4 2026, the company guided revenue to $960 million to $1.01 billion, which would set a new all-time quarterly record, with non-GAAP operating margin expected in the 35% to 36% range. NVIDIA’s direct equity stake makes Lumentum something more than a supplier. It is a locked-in architectural partner for the next generation of AI networking.

Editor’s note: This pass updated Vertiv’s full-year 2026 revenue guidance to the raised range of $13.5 billion to $14.0 billion, replaced the stale Micron quarterly revenue figure with fiscal Q3 2026 actuals of $41.46 billion and fiscal Q4 guidance of $50 billion, updated Lumentum from a forward guidance figure to the reported Q3 2026 result of $808.4 million in revenue (up 90% year over year) with Q4 guidance of $960 million to $1.01 billion, and added DigitalOcean’s Q1 2026 actuals including 22% revenue growth and 221% AI customer ARR growth.

Contact [email protected] for any questions or corrections.

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About the Author David Beren →

David Beren has been a Flywheel Publishing contributor since 2022. Writing for 24/7 Wall St. since 2023, David loves to write about topics of all shapes and sizes. As a technology expert, David focuses heavily on consumer electronics brands, automobiles, and general technology. He has previously written for LifeWire, formerly About.com. As a part-time freelance writer, David’s “day job” has been working on and leading social media for multiple Fortune 100 brands. David loves the flexibility of this field and its ability to reach customers exactly where they like to spend their time. Additionally, David previously published his own blog, TmoNews.com, which reached 3 million readers in its first year. In addition to freelance and social media work, David loves to spend time with his family and children and relive the glory days of video game consoles by playing any retro game console he can get his hands on.

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