This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.
Key Points
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Some of the biggest beneficiaries of the artificial intelligence (AI) boom have been semiconductor stocks.
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At the heart of the chip landscape is Nvidia, whose chips are in demand from trillion-dollar hyperscalers and governments across the globe.
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While Nvidia has already witnessed significant valuation expansion, several catalysts suggest the company still has meaningful long-term growth ahead.
There are only so many moments in investing when a company becomes so impactful that it transcends its peers and evolves into something greater -- a true generational wealth opportunity.
In the 1980s and 1990s, Microsoft and Berkshire Hathaway were prime examples. Microsoft pioneered the personal computing era with its Windows operating system, which became the backbone of the internet age. Berkshire, under Warren Buffett's leadership, compounded capital that consistently outperformed the broader market.
Today, I think the most compelling opportunity at the intersection of growth and value is none other than semiconductor powerhouse Nvidia (NASDAQ: NVDA).
The reason is simple: Nvidia isn't just riding a single trend. Instead, it has positioned itself as the core power source at the heart of multiple revolutions, each unfolding against the backdrop of the artificial intelligence (AI) movement.
The AI infrastructure boom is a multi-year growth arc for Nvidia
Nvidia's rapid rise in recent years comes down to one thing: its graphics processing units (GPUs). These chips have become the gold standard of generative AI development, powering everything from large language models (LLMs) to mission-critical applications across every industry.
AMZN Capital Expenditures (TTM) data by YCharts.
Cloud hyperscalers and big tech giants have poured hundreds of billions of dollars into capital expenditures (capex) -- much of which they directed toward chips and networking infrastructure.
This spending spree doesn't appear to be slowing down, either. According to management consulting firm McKinsey & Company, AI infrastructure spend could reach $6.7 trillion by next decade -- with chips continuing to capture a good portion of this investment.
What makes the infrastructure narrative even more compelling is that it extends beyond the private sector. The U.S. government is supercharging its AI ambitions through Project Stargate -- a $500 billion initiative to invest in data centers and AI infrastructure over the coming years. Meanwhile, countries in the Middle East are rolling out their own sovereign AI initiatives.
Nvidia sits at the center of this activity. Its GPUs are not exclusive to powering today's data centers -- they are enabling a global race to build the foundation of tomorrow's AI economy.
AI-powered software applications are coming into focus
Beyond infrastructure, Nvidia is also quietly shaping the rise of AI-powered software applications. Over the last few years, developers mainly focused on securing GPUs to build next-generation data centers and train LLMs. Now, however, AI investment is swiftly moving downstream and becoming a critical component of consumer and enterprise applications.
Take Perplexity's unsolicited $34.5 billion bid to acquire Google Chrome. While the deal is unlikely to materialize, it underscores an important point: AI is moving beyond hardware and into the application layer for businesses and consumers. Nvidia enjoys a rare advantage at this intersection because the company profits not just from hardware demand, but also from its software ecosystem.
Nvidia's CUDA software program serves as a foundation for developers, enabling them to build and deploy AI applications efficiently and at scale.
Emerging market opportunities are a sleeping giant
Where things get most exciting for Nvidia is its untapped potential across emerging markets.
For years, Nvidia's footprint in China has been constrained by strict export controls and fierce competition from rivals like Huawei.
These dynamics have begun to shift. Nvidia recently reach an agreement with the Trump Administration that allows it to remit 15% of its China sales back to the U.S. government in exchange for continued access to the key market -- which Jensen Huang estimates could be worth $50 billion annually.
Beyond geographic expansion, Nvidia is poised to ride the wave of more advanced AI use cases in areas such as quantum computing, robotics, and autonomous systems.
A recent example underscores how central Nvidia has become: Elon Musk told investors that Tesla is putting its internally built Dojo supercomputer ambition to the side in favor of a new technology stack, dubbed AI6. At the core of this new stack is none other than Nvidia.
Is Nvidia stock a buy?
At first glance, the chart below may look contradictory. Nvidia's forward price to earnings (P/E) multiple of 41 is well-above its three-year average. Yet at the same time, the stock trades at a discount to the peak forward earnings levels reached earlier in the AI revolution. What could this mean?
NVDA PE Ratio (Forward) data by YCharts.
In my eyes, it could suggest that investors are struggling to assign a fair value to Nvidia.
The premium over its historical average reflects ongoing optimism, while the discount to prior highs implies that some view Nvidia as a maturing business at risk of decelerating growth.
I think this interpretation could be misguided. Even if Nvidia's growth rates moderate in percentage terms, those percentages will be applied to a significantly larger revenue and profit base -- fueled by data center expansion, AI software applications, and new markets.
Taken together, this suggests that Nvidia is quietly undervalued. At the very least, the company appears to have significant runway for years to come -- supported by a host of growth levers that are not yet fully priced in.
For these reasons, I see Nvidia as an opportunity trading at a reasonable price point relative to the company's potential -- making it a compelling long-term investment to buy and hold.
This article was originally published on Fool.com. All figures quoted in US dollars unless otherwise stated.
