Why Hold These 2 Key AI Data Center Stocks Long Term

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May 6, 2026

Jim Cramer just highlighted two stocks deeply tied to the AI revolution that he says you shouldn't sell. With data centers expanding rapidly and hyperscalers pouring in billions, what makes these companies stand out for the long haul? The answer might surprise you...

Financial market analysis from 06/05/2026. Market conditions may have changed since publication.

Have you ever wondered what really powers the explosive growth we’re seeing in artificial intelligence? It’s not just the flashy models or clever algorithms. Behind the scenes, a massive infrastructure buildout is happening, and two companies stand out as major players that smart investors should consider holding onto for the long run.

In recent market commentary, a well-known voice on Wall Street emphasized that selling certain stocks tied to this AI expansion would be a mistake. The focus is on firms deeply embedded in the data center ecosystem, where demand shows no signs of slowing down. This isn’t hype – it’s backed by substantial commitments from the biggest tech players.

The Unstoppable Momentum of AI Data Centers

The artificial intelligence boom has moved far beyond theoretical discussions. We’re witnessing real, tangible investments that are reshaping entire industries. Major technology companies have collectively boosted their capital spending plans significantly, with AI-related outlays reaching impressive new heights. This surge isn’t a short-term fad but a fundamental shift in how computing power is deployed and scaled.

What does this mean for the market? It creates a vast network of supporting businesses that enable these massive facilities to operate efficiently. From power management to connectivity solutions, every component plays a critical role. Investors who recognize this broader picture understand that the opportunity extends well beyond the obvious chipmakers and software giants.

I’ve followed these developments closely, and one thing becomes clear: the companies providing the essential building blocks for data centers are positioned for sustained growth. Their technologies aren’t easily replaced, and as AI adoption accelerates across sectors, demand should continue climbing.

Eaton: Powering the Future of Data Centers

Eaton stands out as a prime example of a company benefiting directly from this trend. Specializing in electrical and power management solutions, including advanced liquid cooling systems, it has become indispensable for modern data centers. These facilities require enormous amounts of reliable power and sophisticated thermal management to keep servers running optimally.

Recent performance has been strong, with the stock reaching record highs as investors recognize its strategic position. Earnings reports are always closely watched, but the underlying story remains positive. Management continues to innovate in areas that directly address the challenges of high-density computing environments driven by AI workloads.

If you sell it, it’s only because you want to take a profit, not because anything’s going wrong.

That’s the kind of confidence analysts express about well-positioned players like this. The company isn’t just riding a wave – it’s providing critical infrastructure that will be needed for years to come. Data centers aren’t getting smaller; they’re expanding in both size and complexity.

Think about the requirements: massive uninterruptible power supplies, efficient distribution systems, and cooling technologies that can handle the heat generated by thousands of powerful GPUs. Eaton delivers across these fronts. Their expertise in electrical infrastructure gives them a competitive edge that competitors struggle to match.

  • Advanced power management solutions tailored for high-density AI servers
  • Innovative liquid cooling technologies reducing energy consumption
  • Established relationships with major hyperscale operators
  • Strong track record of operational execution and margin improvement

These factors combine to create a compelling investment case. While short-term market fluctuations can create volatility, the long-term tailwinds appear robust. Anyone considering trimming their position might want to think twice about the growth runway still ahead.

Corning: Enabling High-Speed Connectivity

Another standout name is Corning, known for its materials science expertise and particularly its fiber optic solutions. In the world of data centers, speed and bandwidth are everything. As AI models grow larger and more complex, the need for ultra-fast data transfer between servers becomes paramount.

Corning has announced significant new deals with major hyperscalers, signaling strong demand for their optical connectivity products. The stock has shown impressive resilience, recovering well from temporary setbacks and maintaining substantial year-to-date gains. Analyst days and long-term guidance updates are eagerly anticipated as they provide more visibility into future growth.

What makes Corning particularly interesting is its role in solving one of the biggest bottlenecks in scaling AI infrastructure. Traditional copper connections simply can’t keep up with the data volumes required. Optical fiber offers the solution, and Corning’s innovations in this space position them at the forefront.

These are companies that are going to be in the data center, bigger and bigger and bigger each year.

This perspective resonates because it highlights the recurring revenue potential. Once installed, these systems need maintenance, upgrades, and expansion. It’s not a one-time sale but an ongoing relationship with the operators building out capacity.

Understanding the Broader AI Infrastructure Ecosystem

To truly appreciate why these stocks matter, you need to zoom out and look at the entire ecosystem. The big technology firms – think Amazon, Microsoft, Google, and Meta – are committing hundreds of billions to AI infrastructure. This isn’t speculative spending; it’s strategic investment in future capabilities.

Each new data center requires power systems, cooling, networking equipment, and countless supporting technologies. The ripple effects extend throughout the supply chain, creating opportunities for specialized providers. This is why dismissing the AI theme as a bubble misses the point – the physical buildout is very real.

In my view, the most compelling aspect is how these investments compound over time. As more AI applications move from research labs into everyday business use, the demand for computing power will only increase. Companies like Eaton and Corning are essential enablers of that expansion.


Key Factors Driving Sustained Demand

Several trends are converging to support continued growth in this sector. First, the complexity of AI training and inference requires ever-more powerful hardware configurations. Second, edge computing and distributed architectures add new layers of infrastructure needs. Third, sustainability pressures push operators toward more efficient solutions – an area where both featured companies excel.

  1. Explosive growth in AI model sizes requiring massive parallel computing
  2. Increasing focus on energy efficiency and thermal management
  3. Rising importance of low-latency, high-bandwidth networking
  4. Geographic diversification of data center locations
  5. Continuous upgrade cycles as technology advances

These dynamics create a favorable environment for suppliers who can deliver reliable, scalable solutions. It’s not just about initial construction but about the ongoing modernization and expansion of facilities worldwide.

Risks and Considerations for Investors

No investment thesis is without potential downsides, of course. Execution risks exist, as does the possibility of slower-than-expected adoption in certain markets. Geopolitical factors and supply chain disruptions could also play a role. However, the structural demand drivers appear strong enough to outweigh many of these concerns over the medium to long term.

Valuation is another important factor. While these stocks have performed well, it’s crucial to assess whether current prices reflect reasonable expectations for future earnings. Growth stocks in hot sectors often command premium multiples, but the underlying fundamentals can justify them when the addressable market is expanding rapidly.

Diversification remains key. While focusing on AI infrastructure makes sense given the tailwinds, balancing a portfolio with other sectors helps manage volatility. That said, for those already positioned in technology, adding exposure to the picks highlighted here could enhance returns as the buildout progresses.

What Lies Ahead for Data Center Technology

Looking forward, several exciting developments could further boost prospects. Advances in liquid cooling will become increasingly important as power densities rise. Next-generation optical interconnects promise even higher speeds and lower latency. Companies that stay at the cutting edge of these innovations will likely capture disproportionate market share.

The global nature of this expansion is also noteworthy. While the United States leads in many areas, data center construction is accelerating in Europe, Asia, and other regions. This international footprint provides additional growth avenues and helps mitigate risks from any single market slowdown.

Company FocusKey TechnologyGrowth Driver
EatonPower Management & CoolingEnergy efficiency demands
CorningOptical Fiber ConnectivityHigh-speed data transfer needs

This simplified view illustrates how each company addresses different but equally critical aspects of data center operations. Together, they form part of a comprehensive solution set that operators require.

Investment Strategy Insights

For investors considering these opportunities, a long-term perspective is essential. Short-term noise from macroeconomic headlines or quarterly earnings misses can create buying opportunities or test conviction. However, the secular trend toward greater AI adoption provides a powerful backdrop.

Perhaps the most interesting aspect is how these stocks offer exposure to the AI theme without the extreme valuations sometimes seen in pure-play semiconductor names. They provide a more balanced risk-reward profile while still participating in the upside.

Monitoring key metrics like new data center announcements, hyperscaler capex guidance, and technology adoption rates can help gauge ongoing momentum. Earnings calls often provide valuable color on industry trends and competitive positioning.

Why Patience Pays in This Sector

One common mistake investors make is selling too early when stocks experience strong runs. The temptation to lock in gains is understandable, but in cases where fundamental tailwinds remain intact, holding through volatility often yields better results.

Both companies discussed here have demonstrated resilience and the ability to capitalize on market opportunities. Their technologies solve real pain points that will persist and intensify as AI becomes more pervasive in business and society.

I’ve seen similar infrastructure plays unfold in previous technology cycles, and the pattern is often the same: early skepticism gives way to broad acceptance, followed by sustained investment. We’re still in the relatively early stages of this AI infrastructure wave.


Broader Market Context and Opportunities

The current market environment features mixed signals, with some sectors facing headwinds while technology, particularly AI-related, continues to attract capital. Understanding these crosscurrents helps put individual stock recommendations into perspective.

Oil prices and geopolitical developments may influence certain industrial segments, but the AI data center story operates somewhat independently, driven by its own powerful fundamentals. This relative insulation adds to the appeal for diversified portfolios.

Other names in the space, such as those involved in semiconductors or broader industrial automation, may also benefit. However, the specific strengths of the two highlighted companies make them particularly noteworthy for investors seeking targeted exposure.

Practical Advice for Individual Investors

If you’re evaluating these opportunities, start by reviewing recent financial performance and analyst projections. Consider your risk tolerance and investment horizon. Dollar-cost averaging can be an effective strategy for entering positions in volatile growth sectors.

Stay informed about industry developments through reputable sources, but avoid getting caught up in daily market noise. The big picture – massive investments in AI infrastructure – provides the context needed for sound decision-making.

Remember that no single stock should dominate a portfolio. Even the most promising opportunities benefit from being part of a well-constructed, diversified approach to investing.

The Road Ahead Looks Promising

As we move further into this era of artificial intelligence, the companies enabling the physical infrastructure will play an increasingly important role. Their contributions may not always grab headlines like breakthrough models, but they are fundamental to making those advances possible at scale.

Eaton and Corning exemplify the type of steady, essential businesses that can deliver strong returns for patient investors. Their technologies address critical needs that will only grow more important over time.

While market conditions will inevitably fluctuate, the underlying demand drivers appear durable. For those who believe in the transformative potential of AI, maintaining exposure to key infrastructure providers makes strategic sense.

The coming years should bring continued innovation and expansion in data centers worldwide. Companies positioned to support this growth stand to benefit substantially. It’s a story worth following closely, with meaningful implications for both technology and investment portfolios.

In wrapping up, the message from seasoned market observers is clear: don’t rush to sell quality names tied to this powerful secular trend. The AI data center buildout is just getting started, and the opportunities for well-placed companies look set to expand for the foreseeable future. Staying invested through the ups and downs could prove rewarding for those with conviction in the long-term thesis.

This analysis represents one perspective on a complex and evolving market. Always conduct your own due diligence and consider consulting with financial professionals before making investment decisions. The world of AI infrastructure offers exciting potential, but success requires careful evaluation and thoughtful portfolio management.

Rule No.1: Never lose money. Rule No.2: Never forget rule No.1.
— Warren Buffett
Author

Steven Soarez passionately shares his financial expertise to help everyone better understand and master investing. Contact us for collaboration opportunities or sponsored article inquiries.

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