Power, Not Capital, Is Redrawing the AI Infrastructure Map
Why power not capital is now determining where data center value accrues
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I recently joined Susana Schwartz on RCR AITech Talk for a strategic discussion on how reliable, grid‑scale electricity is becoming the foremost infrastructure constraint for scaling AI‑ready data centers.
We explored how U.S. grid limitations are creating a three‑to‑four‑year lag in new energized capacity, with only an estimated 5–15 GW coming online by around 2029.
In practical terms, this structural bottleneck shifts supply‑demand dynamics for hyperscale and carrier‑neutral facilities; it elevates the investment case for markets where power access is less constrained and speeds time‑to‑operational capacity.
We also discussed why this constraint is driving a deliberate shift in capital deployment toward emerging economies from Brazil and Malaysia to Mexico and Africa where multi‑tenant data center projects can capture higher enterprise value and more predictable EBITDA.
Those who understand how power availability intersects with project financing and structural economics will be best positioned to allocate capital where returns are most durable.
Thanks to Susana for the conversation.
Watch the full conversation with Susana Schwartz on RCR AITech Talk: World Bank Group’s IFC Global Sector Lead explores the need for ‘energized power’
Capital can move quickly. Power does not.
That's why the next AI winners may not be the ones with the biggest cheque, but the ones who can actually get reliable electricity on time.
I've heard this discussed at two major AI and sustainability events I attended recently.
My notes on that are here 🔗 https://millennialmasters.net/i/159037166/11-the-hidden-cost-of-ai and here 🔗 https://millennialmasters.net/i/160035665/8-ais-dirty-infrastructure-secret