Third-Party Data Centers Overtake Corporate Facilities in Workload Share
Uptime Institute survey reveals a fundamental shift in IT strategy as AI adoption pushes infrastructure to its limits.
For the first time in the history of the Uptime Institute’s annual survey, third-party data center venues have overtaken corporate-owned facilities in workload share. This transition marks a pivotal shift in how enterprises manage digital infrastructure, moving away from capital-intensive internal hardware toward the flexibility of cloud, colocation, and SaaS providers.
According to the 16th Annual Global Data Center Survey, which polled over 1,600 participants between April and May, third-party facilities account for 46% of IT workloads in 2026, while enterprise-owned facilities have fallen to 44%. The Uptime Institute predicts this trend will accelerate, with the gap expected to widen to 48% for third-party providers and 42% for enterprise facilities by 2028.
The AI Infrastructure Strain
This migration occurs as the industry moves from AI experimentation to full-scale deployment, placing unprecedented stress on physical infrastructure. The surge in AI demand is fundamentally altering the power profile of the data center. For the first time, the average modal rack density has surpassed 11 kW, while facilities specifically designed for AI workloads frequently exceed 30 kW.
Andy Lawrence, Uptime’s executive director of research, noted that the massive surge in demand for AI infrastructure is driving pressures across the entire supply chain, including the cost base and the availability of power.
Strategic Implications
This shift in workload share represents a strategic pivot for corporate IT. By offloading workloads to third-party providers, companies trade direct control for the ability to scale rapidly. However, this creates a paradox: while enterprises seek the scale of the cloud, the physical layer supporting these services struggles to keep pace with extreme power densities.
Future Outlook
As the industry grapples with the physical requirements of AI, the focus will likely shift toward specialized high-density cooling and power delivery. While the migration to off-premises facilities provides a buffer for individual corporations, the broader ecosystem remains vulnerable to the systemic pressures of the AI surge. Consequently, power availability has become the primary bottleneck for future growth, forcing a re-evaluation of how power is sourced and distributed across global hubs.