---
title: "National AI Infrastructure Boom Spurs Investment, With Implications for Greenville’s Tech Landscape"
url: https://www.heregreenville.com/2026/08/10/national-infrastructure-boom-spurs-investment/
date: 2026-08-10T09:35:53+00:00
modified: 2026-08-10T09:35:53+00:00
author: "Reeves Saluda"
categories: ["National"]
site: "HERE Greenville"
attribution: "HERE Greenville"
---

# National AI Infrastructure Boom Spurs Investment, With Implications for Greenville’s Tech Landscape

*Source: [HERE Greenville](https://www.heregreenville.com/2026/08/10/national-infrastructure-boom-spurs-investment/) — August 10, 2026 by Reeves Saluda*

The accelerating expansion of artificial intelligence applications is creating significant demand across the technology sector, particularly in the foundational infrastructure required to support these advanced systems. A recent analysis has identified nine exchange-traded companies positioned to benefit from documented bottlenecks in AI infrastructure, specifically in power generation, high-bandwidth memory, advanced semiconductor packaging, data-center connectivity, and liquid cooling. These companies, ranging from chip foundries to energy providers, represent key leverage points in the ongoing build-out of AI capabilities.

### Powering the AI Revolution: Energy and Infrastructure

The immense computational demands of AI data centers translate directly into a surging need for reliable and scalable power. Three companies highlighted in the analysis address this fundamental requirement: NextEra Energy, Williams Companies, and Cameco Corporation.

NextEra Energy, a major player in clean energy, reported revenue of $27.40 billion and an adjusted EPS of $3.71, with a price-to-earnings ratio of 21.84. The company anticipates an 8.4% growth in EPS. NextEra has already secured clean-energy agreements with technology giants Google and Meta, underscoring its role in powering the digital economy. Furthermore, its stated intention to acquire Dominion Energy signals a strategic move to consolidate its position in the energy market, though this transaction will require regulatory approvals.

Williams Companies plays a critical role in natural gas infrastructure, handling approximately 30% of the natural gas usage in the United States. With revenue of $11.95 billion, an adjusted EPS of $2.10, and a price-to-earnings ratio of 31.61, the company projects 13.4% EPS growth. Williams has established data-center power contracts with Meta Platforms and another undisclosed investment-grade company, demonstrating its direct involvement in meeting the energy needs of large-scale data operations.

Cameco Corporation, a prominent uranium producer, is positioned to benefit from the long-term demand for nuclear power, a carbon-free energy source. The company posted revenue of $3.48 billion, an adjusted EPS of $1.44, and a price-to-earnings ratio of 99.85, with expected EPS growth of 9.9%. Cameco is involved in a significant partnership with Brookfield Asset Management and the U.S. government, valued at at least $80 billion, aimed at expediting the deployment of Westinghouse reactors. This initiative highlights the growing recognition of nuclear energy’s importance in providing stable, high-capacity power for energy-intensive applications like AI, despite the long timelines associated with reactor deployment.

### Memory and Advanced Packaging: The Core of AI Processing

The performance of AI models is heavily reliant on advanced semiconductors, particularly high-bandwidth memory (HBM) and sophisticated chip packaging technologies. Taiwan Semiconductor, Micron Technology, and Intel are central to addressing these critical components.

Taiwan Semiconductor (TSM) stands as the world’s largest chip foundry, a crucial supplier for many leading AI chip designers. The company reported revenue of $120.34 billion, an adjusted EPS of $10.39, and a price-to-earnings ratio of 32.64, with an impressive expected EPS growth of 48.0%. A significant portion of its CoWoS advanced-packaging capacity, essential for integrating complex AI chips, is currently allocated to Nvidia, a dominant force in AI accelerators. This allocation underscores TSM’s indispensable role in the AI supply chain.

Micron Technology (MU) is a key provider of high-bandwidth memory, a specialized type of RAM vital for AI workloads. The company’s stock price reached $1,060.45, supported by revenue of $37.40 billion, an adjusted EPS of $8.29, and a price-to-earnings ratio of 46.18. Micron’s expected EPS growth is a remarkable 621.6%, reflecting strong market demand. Along with competitors SK Hynix and Samsung, Micron has committed its high-bandwidth-memory capacity through 2026, indicating sustained demand. Micron’s stock price surged more than 746% over the prior 12 months, signaling robust investor confidence in its AI-driven growth.

Intel (INTC), a long-standing semiconductor giant, is also making strides in the AI space. The company recorded revenue of $52.90 billion and an adjusted EPS of $0.42. Intel did not have a price-to-earnings ratio due to a GAAP loss per share in fiscal 2025, but it projects an expected EPS growth of 160.0%. Intel has reportedly secured an order for 3 million tensor processing units (TPUs) by 2028 from Google, a significant win in the AI hardware market. Additionally, SK Hynix and Nvidia are actively testing Intel technologies, suggesting potential for broader adoption of its solutions in the AI ecosystem.

### Cooling and Connectivity: Enabling Data Center Efficiency

As AI data centers become denser and more powerful, efficient cooling and high-speed data connectivity are paramount to their operation. Vertiv Holdings, Astera Labs, and Credo Technology specialize in these areas.

Vertiv Holdings (VRT) is a leader in critical digital infrastructure, including liquid cooling systems, which are becoming increasingly vital for managing the heat generated by high-performance AI chips. The company reported revenue of $10.23 billion, an adjusted EPS of $4.20, and a price-to-earnings ratio of 79.85, with an expected EPS growth of 54.5%. Vertiv announced a substantial $15 billion backlog in February, highlighting strong demand for its solutions. In June, it further solidified its position by integrating its SmartRun digital-twin capability into Nvidia’s AI data-center simulation platform, a move that enhances its offerings for advanced AI deployments. The global data-center liquid-cooling market is projected to grow significantly, from $5.7 billion in 2026 to $29.2 billion by 2033, underscoring Vertiv’s strategic market position.

Astera Labs (ALAB) focuses on purpose-built connectivity solutions for AI and machine learning infrastructure. The company’s revenue reached $852.53 million, with an adjusted EPS of $1.84 and a price-to-earnings ratio of 251.79. Astera Labs expects an EPS growth of 63.2%. Its first-quarter 2026 revenue surged by 93% year over year to $308.4 million, demonstrating rapid expansion. Notably, one customer, presumed to be Amazon, accounted for 70% of its 2025 revenue, indicating both strong customer relationships and a degree of customer concentration risk.

Credo Technology (CRDO) provides high-speed connectivity solutions essential for data centers. The company generated revenue of $1.34 billion, an adjusted EPS of $3.46, and a price-to-earnings ratio of 98.67, with an expected EPS growth of 75.4%. Credo’s most recent-quarter revenue increased by 157% year over year to $437 million, reflecting robust demand for its products. Similar to Astera Labs, Credo also exhibits customer concentration, with four customers representing 87% of its revenue.

### Market Outlook and Considerations

The broader market outlook suggests strong performance in the second half of 2026, with forecasts indicating a potential 12% gain for the S&P 500 over the subsequent 12 months. However, the identified companies and the AI infrastructure build-out are not without risks. These include potential supply constraints for critical components, the aforementioned customer concentration for some specialized providers, the need for regulatory approvals for significant transactions like the proposed NextEra-Dominion merger, and the inherently long timelines associated with large-scale infrastructure projects, such as nuclear reactor deployment.

### Why it matters in Greenville

The national push for AI infrastructure, particularly in power generation and advanced computing, resonates with Greenville’s industrial base. Major employers such as GE Vernova Gas Power, a significant player in energy solutions, and BMW Manufacturing Co., which increasingly integrates AI into its advanced manufacturing processes, are part of an ecosystem that relies on robust and efficient technological infrastructure. The trends highlighted in the national analysis — from the demand for clean energy and natural gas to power data centers, to the need for high-bandwidth memory and advanced cooling systems — underscore the broader technological currents that will shape the operational landscape for these and other Greenville-area companies. Ensuring access to reliable power and cutting-edge computing resources will be crucial for maintaining competitiveness and fostering innovation within the region’s key industries in Greenville.