Capital is pouring into AI infrastructure—but the assumptions behind that capital are being tested by execution reality.

Institutional investors are underwriting platform-scale deployments based on long-term AI demand. Yet delivering that capacity is proving far more complex. Tens of gigawatts have been planned for 2026 and beyond, but analysis suggests a material share will slip—not for lack of demand, but because the underlying infrastructure isn’t ready.

The constraint is no longer capital. It’s power—and the systems that deliver it. This session brings together perspectives across institutional capital allocation, development, energy-integrated infrastructure, and interconnection strategy to examine:

• How major platforms are underwriting power, supply chain, and timing risk

• Where projects are moving forward—and where they’re quietly being delayed or re-scoped

• Whether secondary and emerging markets represent durable opportunity or new uncertainty

• How network ecosystems and interconnection shape long-term value concentration

• How the rise of inference workloads may shift where and how capacity must be built

At stake is a key question: Is capital moving in step with what can be built—or ahead of the infrastructure required to support it?