Duke Energy's 4.5 Gigawatt Data Center Portfolio

Duke Energy's data center contracts hit 4.5GW after Microsoft's North Carolina deal—the equivalent of four nuclear plants for one customer category.

Show Notes

In this episode of The Power Allocation, we examine Duke Energy's unprecedented data center portfolio: 4.5 gigawatts of contracted capacity after signing a deal with Microsoft for large-scale AI complexes in North Carolina.

To put that in perspective: 4.5 gigawatts equals roughly four nuclear power plants. One utility. One customer category. That concentration of demand is unprecedented in American electricity history.

Key topics covered:

• Why Duke's Carolinas, Indiana, and Florida service territory became hyperscale ground zero
• The generation challenge: extending coal retirements, building gas, exploring nuclear—simultaneously
• How clean energy procurement requirements clash with 24/7 data center load profiles
• The math problem of matching intermittent renewables to constant demand
• Why utilities built for 1-2% growth now face 10-20% growth in specific areas

About The Power Allocation: Brought to you by Spring Street Management Group, translating data center and energy hype into real infrastructure and assets on the daily.

Keywords: Duke Energy data center, Microsoft North Carolina, 4.5 gigawatt, utility data center contract, clean energy procurement, hyperscale power, Charlotte data center, Raleigh data center, grid capacity

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What is The Power Allocation?

The AI boom isn't constrained by chips, algorithms, or talent. It's constrained by electricity.

The Power Allocation is a daily briefing on AI infrastructure — where capital is actually being deployed. Each episode cuts through the hype to examine the physical realities shaping the AI buildout: power constraints, grid interconnection, land acquisition, data center financing, cooling infrastructure, and utility relationships.

This isn't a software podcast. This is an infrastructure podcast.

Who it's for: Institutional investors, infrastructure allocators, data center developers, utilities, family offices, and anyone positioning capital for the physical layer of artificial intelligence.

What you'll learn:

Why power availability — not GPU supply — is the binding constraint on AI compute
How hyperscalers are locking in multi-decade power purchase agreements
Where data centers are relocating and why grid geography is reshaping the industry
The financing structures turning compute facilities into bond-like assets
What execution timelines, permitting delays, and interconnection queues mean for capital deployment
Format: 3-6 minute episodes. Dense. Clear. No hype.

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