AI Is a Power Problem, Not a Software Problem

Show Notes

The AI boom is not constrained by chips, algorithms, or talent. It's constrained by electricity. Capital is moving accordingly.

In this episode, we examine why AI facilities require 50-150 kilowatts per rack versus 10-15 kilowatts for traditional computing, why developers face 5-7 year grid interconnection delays, and how Microsoft and Meta are deploying $145 billion combined in infrastructure bets on land, substations, and transmission capacity.

The companies winning this cycle won't be the ones with the best models. They'll be the ones with secured power capacity and execution timelines measured in megawatts, not parameters.

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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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