AI Digital Infrastructure Pulls Capital as Data Center REITs Eclipse Office Assets
The AI economy is driving a profound geographic and sector-level bifurcation within the U.S. real estate market. While traditional office real estate investment trusts (REITs) struggle with high debt loads, negative free cash flows, and massive asset markdowns, digital infrastructure assets—specifically data center REITs—are pulling in record capital and trading at massive premiums.
This divergence is clearly visible in the valuations of major real estate sector constituents. Equinix Inc. (EQIX), a leading global data center REIT, has grown to a market capitalization of $105.33 billion as of June 2026. Equinix trades at an exceptionally high price-to-earnings (P/E) ratio of 74.07, fueled by a 12.1% year-over-year revenue growth rate and strong operating margins.
The premium valuation of digital infrastructure stands in stark contrast to traditional office REITs, which are forced to sell off assets to manage leverage.
Traditional Office REITs Face Severe Headwinds
A review of the leading office-focused REITs highlights the financial strain facing traditional commercial landlords:
- SL Green Realty Corp (SLG): Carrying $6.54 billion in total debt and an 18.2x debt-to-EBITDA ratio, SL Green reported a net loss of $78.5 million on $253.1 million in revenue for Q1 2026. To pay down debt, SL Green sold its 10 East 53rd Street office tower in Manhattan for $312.2 million (generating $100 million in net proceeds) as part of a desperate $2.5 billion strategic asset disposition plan.
- Boston Properties (BXP): Despite beating Q1 2026 earnings estimates, BXP's heavy capital expenditures of $288.3 million resulted in a negative free cash flow of $131.8 million for the quarter, while carrying $15.97 billion in total debt (10.0x debt-to-EBITDA).
- Vornado Realty Trust (VNO): Vornado carries $8.41 billion in total debt and an 11.2x debt-to-EBITDA ratio, posting a quarterly net loss of $7.3 million for Q1 2026.
The Geographic Shift
The divergence is not just financial; it is geographical. The physical space required for the AI economy has shifted from high-rise office towers in central business districts (like downtown San Francisco or Seattle, which suffer from 30%+ office vacancies) to massive warehouse-style data centers located in specific counties across Northern Virginia, Atlanta, Columbus, and Silicon Valley.
This geographic shift has concentrated capital expenditure and infrastructure investment into power-rich suburban and rural counties, leaving metropolitan office-heavy cores to deal with the fallout of the office collapse (as seen in Downtown Office Price Collapse: Severe Markdowns in Seattle and St. Louis).