We Toured an AI Data Center to See How Our Stock Names Make These Facilities Work

Why It Matters

The scale and energy intensity of AI workloads are reshaping demand for real‑estate, power and semiconductor suppliers, creating multi‑billion‑dollar growth opportunities across the ecosystem.

Key Takeaways

• AI data centers now demand hundreds of megawatts, up from 10‑30 MW
• GE Vernova’s fuel‑cell turbines fuel AI hubs, shares up >60% YTD
• Nvidia and Broadcom chips dominate AI inference hardware in CoreSite
• Corning’s fiber contracts with Meta boost its YTD stock 70%
• Liquid‑cooling market expands; Eaton’s Boyd Thermal acquisition valued at $9.5 bn

Pulse Analysis

The surge in artificial‑intelligence workloads is forcing a fundamental redesign of data‑center real estate. Operators like CoreSite, owned by REIT American Tower, are building "mall‑style" facilities where multiple tenants share power, cooling and fiber. This model reduces capital outlays for AI developers but places unprecedented strain on regional grids, prompting providers to integrate on‑site fuel‑cell generators and natural‑gas turbines. The shift is driving a wave of investment in power‑infrastructure firms, from GE Vernova to Eaton, as they secure long‑term contracts to keep AI clusters humming.

At the heart of these hubs are high‑performance chips from Nvidia and Broadcom, which together power the inference engines that deliver ChatGPT‑style responses. Nvidia’s GPUs dominate the market, while Broadcom’s custom ASICs and networking switches enable low‑latency data movement. The demand for bandwidth has also elevated Corning’s optical‑fiber business, with multi‑year supply agreements to Meta and other AI players cementing its growth trajectory. Meanwhile, networking giants such as Cisco are ceding ground to specialized chipmakers that can bundle compute and interconnect in a single solution.

Cooling technology has become a decisive competitive factor. Traditional air‑based systems cannot dissipate the heat generated by dense GPU clusters, leading to rapid adoption of liquid‑cooling architectures. Eaton’s acquisition of Boyd Thermal for $9.5 bn and Dover’s expansion into AI‑related thermal connectors illustrate how ancillary suppliers are capturing a slice of the AI spend. For investors, the ecosystem offers diversified exposure: from REITs that own the physical plants to semiconductor, power‑generation and cooling firms that enable the AI engine to run efficiently.