AI data center REITs are encountering heightened political risk ahead of the 2026 midterm elections due to zoning and energy consumption debates.
AI data centers have transitioned from quiet infrastructure projects to headline news, prompting politicians and local communities to question their power consumption, water requirements, and tax incentives ahead of the 2026 U.S. midterm elections. This growing tension threatens to reshape the risk and return profiles for data center REITs tied to this construction boom. This article examines the underlying policy dynamics and analyzes three publicly traded companies closely linked to these debates.
These three U.S. data center REITs represent only a starting sample. A broader screening process identified nine additional companies with equally compelling narratives regarding policy exposure, tenant composition, and AI-driven demand. To explore further, investors can utilize the U.S. Data Center REITs screener to filter and analyze opportunities aligned with specific return and risk parameters.
Equinix operates as a global data center REIT, owning and managing colocation facilities where enterprises, cloud providers, and artificial intelligence firms deploy servers and establish low-latency, high-reliability connections. Its platform facilitates traffic routing between clouds, customers, and partners, providing investors with direct exposure to the digital infrastructure powering AI and cloud workloads. Financially, Equinix generates approximately US$9.9 billion in annual revenue from designing, constructing, and operating its IBX data centers, with income distributed across the United States, EMEA, Asia Pacific, and the rest of the Americas.
For investors targeting AI and cloud infrastructure, Equinix offers a vast, diversified footprint already equipped to support high-density and liquid-cooled deployments. Its interconnection services enhance both profit margins and client retention. Recent earnings reports and guidance highlight surging demand for AI training and private AI workloads, underscored by strategic partnerships such as the NVIDIA DGX private cloud hosted at Equinix facilities. This positions the company as a critical nexus between enterprises and hyperscalers. However, substantial capital expenditure requirements, elevated leverage, and intensifying political scrutiny over grid strain and power usage introduce notable execution and regulatory risks. This combination of scale, AI exposure, and funding pressure warrants close investor attention. While Equinix has emerged as a central hub for AI training and private workloads, few investors fully appreciate how its global interconnection network intersects with mounting political scrutiny over power demands and capital intensity—factors that could significantly alter investment returns. Get the 4 key rewards and 2 important warning signs.
Equinix and the other two companies profiled here illustrate the output of a targeted screening approach. The true value, however, lies in customizing filters around valuation, growth trajectories, financial health, and risk tolerance. Investors are encouraged to configure their own parameters using our flexible Screener or begin with one of our curated Investing Ideas.
Digital Realty Trust is a data center-focused REIT that owns and leases large-scale facilities housing servers for cloud providers, hyperscalers, and enterprise clients. Through the U.S. Data Center REITs screener, it provides targeted exposure to the mission-critical colocation and hyperscale infrastructure that underpins modern AI and cloud operations. The company generates roughly US$6.8 billion in revenue from its commercial data center operations, split between approximately US$3.6 billion from the United States and US$3.2 billion from international markets.
Digital Realty offers direct access to the ongoing expansion of AI and cloud infrastructure, backed by record leasing activity, a US$1.9 billion backlog of executed but unstarted contracts, and active development in key U.S. hubs like Northern Virginia and Kansas City. Conversely, the company depends heavily on external debt financing, and its profit margin recently contracted sharply from 23.6% to 11.2%. Consequently, management must carefully balance aggressive growth against rising interest expenses and development risks. With bipartisan opposition to data center power consumption gaining traction, leadership’s emphasis on grid partnerships and water-efficient operations remains a critical factor. For investors seeking hyperscale exposure who are prepared to rigorously evaluate leverage and localized policy risks, Digital Realty Trust merits thorough due diligence. Although the company reports record leasing and a US$1.9 billion contract backlog, many investors may overlook the underlying funding vulnerabilities driving that growth. Get the 3 key rewards and 2 important warning signs (1 is major!).
Fermi develops private electric grids designed to deliver highly redundant, gigawatt-scale power behind the meter to AI-focused data centers and advanced computing campuses. Functioning as an energy partner for hyperscalers rather than a traditional colocation REIT, its flagship Project Matador in Texas seeks to integrate natural gas, nuclear, solar, battery storage, and grid connectivity into one of the largest dedicated power platforms for AI workloads in the United States.
Fermi provides direct exposure to one of the most pressing bottlenecks in AI infrastructure: securing reliable, gigawatt-scale power amid increasing state mandates requiring developers to self-fund grid upgrades and navigate stricter permitting processes. Still pre-revenue and reporting net losses, the company relies on external borrowing and requires anchor tenants alongside project financing to support over US$3 billion in planned capital expenditures at Project Matador, presenting substantial execution and funding risks. Nevertheless, binding commitments—including a 15-year lease agreement with TensorWave for 222 megawatts (with expansion options) and a strategic alliance with Hillcore to construct 2.6 gigawatts of on-site generation—signal strong interest from AI operators and capital providers. For investors comfortable with early-stage, REIT-like risk in exchange for exposure to the power generation side of AI infrastructure, Fermi’s trajectory warrants detailed evaluation. While its early-stage, gigawatt-scale power vision is attracting significant AI demand, the critical question remains how effectively its funding structure and tenant pipeline align. Read the full narrative for Fermi.
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