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

Summarized by NextFin AI
  • The search for the next Nvidia has shifted to infrastructure and specialized hardware players essential for the AI revolution, with companies like Onto Innovation and Liberty Energy gaining investor interest.
  • Onto Innovation is crucial in the AI supply chain, benefiting from rising demand for High Bandwidth Memory (HBM) and co-packaged optics, which are vital for data centers.
  • Liberty Energy, traditionally focused on oilfield services, is now seen as an AI player due to its mobile power solutions that support the energy needs of AI data centers.
  • Intel is experiencing a turnaround with a 113% return over the past year, focusing on AI PC chips and domestic chip fabrication, highlighting the importance of a diversified AI ecosystem.

NextFin News - The search for the "next Nvidia" has shifted from the high-flying semiconductor giants to the gritty infrastructure and specialized hardware players that underpin the next phase of the artificial intelligence revolution. While Nvidia remains the undisputed king of the GPU, its staggering valuation—trading at roughly 35 times EV/EBITDA—has forced institutional capital to look toward the "second wave" of the AI buildout. On March 9, 2026, market data reveals a distinct rotation into companies like Onto Innovation, Liberty Energy, and even a resurgent Intel, as investors bet on the physical and structural requirements of AI rather than just the chips themselves.

Onto Innovation has emerged as a critical bottleneck in the AI supply chain that Wall Street is only beginning to price correctly. As memory makers race to keep up with the bandwidth requirements of next-generation AI models, Onto’s process control and inspection tools have become indispensable. The company is currently riding a surge in demand for High Bandwidth Memory (HBM) and is positioned to be a primary beneficiary of "co-packaged optics," a technology essential for reducing power consumption in massive data centers. With shares showing resilience despite recent market volatility, the company represents a "secular winner" that provides the literal foundation upon which Nvidia’s chips are built and tested.

Perhaps the most unconventional entry in the AI race is Liberty Energy. While typically viewed through the lens of fracking and oilfield services, Liberty has become an accidental AI play due to the insatiable power hunger of modern data centers. U.S. President Trump’s administration has emphasized energy independence and deregulation, providing a tailwind for companies that can provide the localized, reliable power generation needed to keep AI clusters running 24/7. Liberty’s mobile power solutions are increasingly being eyed as a bridge for tech giants who cannot wait for traditional utility grids to upgrade their capacity. This intersection of "old energy" and "new tech" is where the most significant valuation gaps currently exist.

Intel, long the laggard of the semiconductor world, is finally seeing the fruits of its multi-year turnaround strategy. Under the current administration's "America First" manufacturing push, Intel has secured massive subsidies and domestic partnerships that are beginning to pay off in the foundry business. While it trailed Nvidia in the initial GPU gold rush, Intel’s focus on AI PC chips and its growing role as a domestic alternative for chip fabrication have led to a 113% return over the past year. The market is starting to realize that a diversified AI ecosystem cannot rely on a single offshore manufacturer, making Intel’s domestic fabs a strategic asset of the highest order.

The list of contenders is rounded out by Aixtron and Micron Technology. Aixtron’s specialized deposition equipment is vital for the next generation of power electronics and GaN (Gallium Nitride) chips, which are more efficient than traditional silicon for AI power supplies. Meanwhile, Micron has seen its revenues jump to $11.32 billion in the most recent quarter, driven by the same HBM demand that is fueling Onto Innovation. These companies represent the "picks and shovels" of the AI era. They lack the brand recognition of Nvidia, but they possess the same structural necessity. As the AI trade matures, the outsized gains will likely come from these overlooked corners of the hardware stack where the valuation has yet to catch up with the reality of the order books.

Explore more exclusive insights at nextfin.ai.

Insights

What are the core components driving the AI infrastructure market?

What factors have contributed to the rise of Onto Innovation in the AI supply chain?

How is Liberty Energy positioning itself in the AI landscape despite its traditional focus?

What recent trends indicate a shift in investor focus from Nvidia to other AI-related companies?

What role does High Bandwidth Memory (HBM) play in the current AI market?

What are the implications of U.S. energy policy changes on AI infrastructure companies?

How has Intel's turnaround strategy affected its position in the AI chip market?

What are the challenges facing companies like Micron and Aixtron in the AI hardware sector?

How does the valuation of AI infrastructure stocks compare to traditional semiconductor companies?

What recent developments have occurred regarding subsidies for domestic chip manufacturers?

What future trends can we expect in the AI hardware market over the next few years?

How do the financial performances of Onto Innovation and Micron reflect market demand for AI technologies?

What potential long-term impacts could arise from the increasing demand for AI infrastructure?

What controversies exist around the intersection of energy production and AI technology?

How does the performance of Liberty Energy's mobile power solutions compare to traditional energy sources?

What lessons can be learned from historical cases of technological shifts in the semiconductor industry?

Which companies are considered the 'picks and shovels' of the AI era, and why?

What are the core difficulties faced by companies trying to compete with Nvidia in the AI space?

How have market valuations for AI stocks changed as the sector has evolved?

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