As investment in AI infrastructure accelerates, the data center industry is entering a new phase of financial scrutiny. What was once considered a stable, real estate-like asset class is now being re-evaluated through a more complex lens, where operational performance directly impacts financial outcomes.

A new white paper from Parametrix, The Impact of SLA Exposure on Data Center Valuation and Financing, highlights a growing but often overlooked risk: the financial consequences of service-level agreement (SLA) penalties. As uptime expectations tighten and hyperscale demand increases, even brief disruptions can trigger significant financial exposure.

According to the analysis, as little as 45 minutes of downtime can result in SLA penalties that reduce annual cash flow by as much as 20–30%. This shifts downtime from an operational concern to a material financial risk, with direct implications for net operating income (NOI), debt service coverage ratios (DSCR), and overall asset valuation.

The findings come at a time when data centers are attracting unprecedented levels of capital. With trillions expected to be invested in digital infrastructure over the coming years, lenders and institutional investors are placing greater emphasis on income stability and risk visibility. However, traditional underwriting models have not fully accounted for the volatility introduced by SLA-driven performance exposure.

As a result, the industry is beginning to recognize the need for more sophisticated approaches to risk management. Understanding and quantifying SLA exposure is becoming critical, not only for operators, but also for investors seeking predictable returns in an increasingly performance-dependent asset class.

To explore the full findings, read the press release and download the white paper on the Parametrix website.