Market pullbacks often feel like the beginning of the end—but history has a way of telling a different story. While recent volatility has pressured many AI-related stocks, the businesses driving the industry's long-term growth continue reporting strong demand, expanding backlogs, and improving financial results. In many cases, the investment thesis hasn't weakened at all—only the share prices have.

Rather than focusing on short-term market swings, this edition explores eight companies building the infrastructure behind artificial intelligence. From electrical systems and nuclear energy to networking, memory, and semiconductor manufacturing, these businesses are helping power AI's next phase while trading in a market clouded by uncertainty.

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Inside this issue, we'll look beyond the headlines and explore why recent market weakness may be creating long-term opportunities. You'll discover eight companies playing critical roles across the AI ecosystem—from powering data centers and connecting AI clusters to manufacturing the technologies that make artificial intelligence possible. If you're looking for businesses with durable fundamentals instead of short-term hype, this edition is worth a closer look.

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Imagine steadily putting away $500 each month into $APH ( ▼ 1.93% ) stock, following the same kind of growth it has shown over the last five years. The chart you shared paints a clear picture of strong performance — the stock has climbed from roughly $34 five years ago to about $159 today, with a solid 367% total return. That works out to an average annual growth rate (CAGR) of around 36%. Looking ahead, if APH continues on a similar path, your regular investments could build into something meaningful.

Here's how it breaks down using dollar-cost averaging (DCA), where you buy more shares when prices are lower and fewer when they're higher, smoothing out the ups and downs:

This estimate assumes the stock keeps delivering returns close to its historical average. Of course, the market has its twists — the current 52-week high sits at $178.52, showing there's room to run if momentum holds, but also plenty of volatility along the way as seen in those recent dips and recoveries on the chart.

The real power here comes from consistency. By investing every month no matter the price, you avoid trying to time the market and let time plus growth do the heavy lifting. APH's track record suggests your contributions could more than double or even triple your total input over the next five years.

Keep in mind, past performance isn't a guarantee, and things like market shifts or company news can change the story. But if you're in it for the long haul with this kind of disciplined approach, the potential upside looks promising. It's a straightforward way to put your savings to work toward bigger goals.

Watching the market decline is never comfortable. Sharp sell-offs often create uncertainty, especially in sectors that have delivered exceptional gains over the past few years. Artificial intelligence was no exception. Semiconductor companies pulled back, nuclear stocks surrendered a large portion of their gains, and several emerging technology names experienced significant declines. To many investors, it appeared as though the AI boom was finally beginning to lose momentum.

However, price movements do not always tell the full story. While stock prices temporarily weakened, the businesses driving AI continued producing strong financial results. One of the clearest examples came from Micron, whose latest earnings highlighted accelerating demand for AI memory. The company reported record revenue growth, expanding profit margins, and announced that its most advanced AI memory products are already sold out well into the coming years. These developments suggest that demand for AI infrastructure remains exceptionally strong despite short-term market volatility.

For long-term investors, this distinction matters. Temporary corrections often create opportunities to purchase quality businesses at more attractive valuations. Instead of reacting emotionally to market fluctuations, this is the time to evaluate whether the long-term investment thesis has changed. In many cases, it has not. The companies building the infrastructure behind artificial intelligence continue expanding their businesses, improving profitability, and securing years of future demand.

Artificial intelligence begins long before data reaches a processor. Every AI model relies on enormous amounts of electricity, making power infrastructure one of the most important pieces of the industry's continued expansion.

As new data centers are constructed around the world, companies require reliable electrical systems capable of supporting massive computing loads. Eaton provides much of this critical infrastructure, including transformers, switchgear, backup power systems, and electrical distribution equipment.

The company's growing backlog demonstrates that demand is no longer based on future expectations—it is already translating into real customer orders. Despite temporary weakness in its share price, Eaton continues improving profitability while benefiting from one of the largest infrastructure buildouts in decades.

BWX Technologies offers exposure to several industries at once. It remains the primary supplier of nuclear reactors for the U.S. Navy while also participating in the growing small modular reactor market. In addition, its medical division produces specialized isotopes used in cancer treatment.

Unlike many speculative nuclear companies, BWXT already generates consistent revenue, healthy cash flow, and a substantial order backlog. This combination of defense, energy, and healthcare creates a diversified business model that may continue benefiting from increasing global demand for reliable energy solutions.

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While infrastructure provides electricity, technology companies supply the computing power that allows artificial intelligence to function.

NVIDIA remains the dominant force in AI computing. Although the company is widely recognized for its graphics processors, its competitive advantage extends far beyond hardware. Millions of developers continue building software using CUDA, creating an ecosystem that strengthens NVIDIA's leadership position.

Beyond data centers, NVIDIA is expanding into robotics, autonomous machines, and quantum computing, allowing the company to participate in several emerging technologies simultaneously. As artificial intelligence becomes more integrated into daily life, NVIDIA remains positioned at the center of this transformation.

Broadcom has become an essential partner for many of the world's largest technology companies. Rather than competing directly with NVIDIA, Broadcom helps companies design custom AI chips while also supplying the networking equipment that connects entire AI systems.

Its expanding software business, strengthened through VMware, has also improved profitability, demonstrating that Broadcom's growth story now extends well beyond semiconductors alone.

Alphabet continues evolving into one of the most diversified technology companies in the market. Search remains a highly profitable business, but newer segments are becoming increasingly important.

Google Cloud continues delivering impressive growth as businesses invest more heavily in artificial intelligence. At the same time, Gemini strengthens Alphabet's AI capabilities, YouTube remains one of the world's largest digital platforms, and Waymo continues expanding autonomous transportation services.

Rather than depending on a single business line, Alphabet benefits from several growth opportunities that reinforce one another.

Artificial intelligence depends on high-speed communication between thousands of processors working simultaneously. Arista Networks provides the networking equipment that enables this communication inside modern data centers.

As cloud providers continue investing in AI infrastructure, Arista benefits from increasing demand for faster and more efficient networking solutions. Strong financial performance and a debt-free balance sheet further reinforce its long-term position within the industry.

Some of the most important businesses in artificial intelligence receive far less attention than the industry's largest names.

Rambus develops specialized memory interface technology that improves communication within AI servers. Although the company carries greater risk because of its size and current legal uncertainties, it has transformed itself into a profitable semiconductor business with growing relevance in AI infrastructure.

Fabrinet manufactures the optical components that allow enormous volumes of data to move quickly between AI servers and networking equipment.

Demand for these components continues increasing faster than production capacity, encouraging the company to expand manufacturing operations. While customer concentration presents some risk, Fabrinet remains an important supplier supporting AI's continued growth.

Successful investing rarely comes from chasing excitement after markets have already recovered. More often, it comes from identifying exceptional businesses while uncertainty still dominates investor sentiment.

The eight companies featured in this issue each represent a different layer of the AI ecosystem:

Each company faces its own opportunities and risks, but together they illustrate how artificial intelligence extends far beyond a single chip manufacturer. The industry's future depends on electricity, networking, cloud infrastructure, memory, manufacturing, and connectivity working together.

For investors focused on building wealth over the long term, the recent pullback serves as a reminder that market volatility often creates opportunities rather than ending them. While no investment is guaranteed, concentrating on financially strong businesses with durable competitive advantages may prove far more rewarding than reacting to temporary market fear.

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