The escalating demand for artificial intelligence capabilities is creating substantial infrastructure challenges, particularly in areas of power generation, high-bandwidth memory, and advanced cooling systems. A recent investment analysis highlights nine exchange-traded companies that are strategically positioned to benefit from these bottlenecks through the remainder of 2026.
The identified companies span several critical sectors, including semiconductor manufacturing, memory production, data center connectivity, energy infrastructure, and specialized cooling solutions. The analysis underscores the immense capital spending directed towards building out the foundational elements required to support the next generation of AI.
Semiconductor and Memory Leaders
Taiwan Semiconductor (TSM), the world’s largest chip foundry, stands at the forefront of this expansion. The company reported revenue of $120.34 billion and adjusted earnings per share (EPS) of $10.39, with a price-to-earnings (P/E) ratio of 32.64. Analysts project an impressive 48.0% growth in its EPS. Taiwan Semiconductor’s advanced-packaging capacity, particularly its CoWoS technology, is largely allocated to key AI chip developers like Nvidia, signaling its indispensable role in the AI supply chain.
Micron Technology (MU) is another critical player in the memory sector. With a stock price recently at $1,060.45, the company recorded revenue of $37.40 billion and an adjusted EPS of $8.29, alongside a P/E ratio of 46.18. Its expected EPS growth is a staggering 621.6%. Micron, along with competitors SK Hynix and Samsung, has already committed its high-bandwidth memory (HBM) capacity through 2026, reflecting intense demand. The company’s stock has seen a remarkable rise, climbing more than 746% over the prior 12 months.
Intel (INTC) is also making strides in the AI hardware space. The company’s revenue reached $52.90 billion, though it reported a GAAP loss per share in fiscal 2025, resulting in no positive P/E ratio. However, its adjusted EPS was $0.42, and its expected EPS growth is 160.0%. Intel has reportedly secured a significant order from Google for 3 million tensor processing units (TPUs) by 2028. Furthermore, SK Hynix and Nvidia are actively testing Intel’s emerging technologies, indicating its potential to regain market share in advanced computing.
Connectivity and Specialized Components
Astera Labs (ALAB) specializes in data center connectivity solutions crucial for high-speed AI operations. The company posted revenue of $852.53 million, an adjusted EPS of $1.84, and a P/E ratio of 251.79. Its expected EPS growth is 63.2%. Astera Labs demonstrated robust performance in the first quarter of 2026, with revenue rising 93% year over year to $308.4 million. A single customer, presumed to be Amazon, accounted for 70% of its 2025 revenue, highlighting both its market penetration and customer concentration risk.
Credo Technology (CRDO) is another key provider of high-speed connectivity solutions. The company’s revenue stood at $1.34 billion, with an adjusted EPS of $3.46 and a P/E ratio of 98.67. Credo’s expected EPS growth is 75.4%. Its most recent quarterly revenue surged 157% year over year to $437 million, with four customers representing 87% of its total revenue, similar to Astera Labs in its customer concentration.
Energy and Cooling Infrastructure
The immense power requirements of AI data centers are driving investment in energy infrastructure. NextEra Energy (NEE), a major clean energy provider, reported revenue of $27.40 billion, an adjusted EPS of $3.71, and a P/E ratio of 21.84. Its expected EPS growth is 8.4%. NextEra has established clean-energy agreements with tech giants Google and Meta Platforms and has announced its intention to acquire Dominion Energy, which would further expand its energy footprint.
Vertiv Holdings (VRT) addresses the critical need for advanced cooling systems in data centers. The company’s revenue was $10.23 billion, with an adjusted EPS of $4.20 and a P/E ratio of 79.85. Vertiv anticipates an impressive 54.5% growth in its EPS. In February, the company reported a substantial $15 billion backlog, signaling strong demand for its solutions. In June, Vertiv announced the integration of its SmartRun digital-twin capability into Nvidia’s AI data-center simulation platform, showcasing its role in optimizing AI infrastructure.
Williams Companies (WMB) plays a vital role in natural gas infrastructure, which is increasingly being tapped to power data centers. The company’s revenue reached $11.95 billion, with an adjusted EPS of $2.10 and a P/E ratio of 31.61. Its expected EPS growth is 13.4%. Williams handles approximately 30% of U.S. natural gas usage and has secured data-center power contracts with Meta Platforms and another undisclosed investment-grade company.
Cameco Corporation (CCJ) represents the nuclear power sector, a long-term solution for high-density energy demands. With revenue of $3.48 billion, an adjusted EPS of $1.44, and a P/E ratio of 99.85, Cameco expects 9.9% EPS growth. The company is involved in a partnership with Brookfield Asset Management and the U.S. government, valued at at least $80 billion, aimed at expediting the deployment of Westinghouse reactors, highlighting the strategic importance of nuclear energy for future power needs.
Market Outlook and Risks
The broader market outlook suggests continued strong performance, with forecasts indicating a 12% S&P 500 gain over the next 12 months. The global data-center liquid-cooling market alone is projected to grow from $5.7 billion in 2026 to $29.2 billion by 2033, underscoring the scale of investment in these specialized areas. However, the analysis also notes inherent risks, including potential supply constraints for critical components, customer concentration for some specialized providers, regulatory hurdles for proposed mergers like NextEra-Dominion, and the long development timelines associated with large-scale projects such as nuclear reactor deployment.
Why it matters in Chapin
The national trend of substantial investment in AI infrastructure, driven by companies like those highlighted, has tangible implications for communities such as Chapin. As demand for data processing and storage intensifies, the underlying energy and technological infrastructure becomes more critical. For institutions like Lexington-Richland School District Five, which relies on robust digital systems for administration and education, these advancements translate into the potential for more efficient and powerful technological tools. The broader economic shifts spurred by AI development can influence local employment opportunities in tech-adjacent fields and place new demands on regional power grids, affecting resource allocation and planning for the Town of Chapin and its residents. The ongoing evolution of AI infrastructure underscores a foundational shift in how technology underpins daily life and economic activity, even in areas not directly involved in chip manufacturing or data center operations.
