Kazakhstan's Gigawatt Ambition

Kazakhstan plans Central Asia's largest data center campus in Ekibastuz with 1GW capacity—a sign of how cheap power reshapes global AI geography.

Show Notes

In this episode of The Power Allocation, we analyze Kazakhstan's announcement of Central Asia's largest data center campus in Ekibastuz with up to 1 gigawatt of energy capacity—and what it signals about AI infrastructure's global migration.

Ekibastuz has what most markets lack: abundant, cheap electricity from Soviet-era coal plants now underutilized. Kazakhstan is positioning itself for customers who prioritize cost over carbon.

Key topics covered:

• How Soviet-era coal infrastructure becomes a competitive advantage for AI workloads
• Target customers: Chinese companies, Russian firms, Indian enterprises, Middle Eastern funds
• Why data sovereignty and compute access are becoming strategic national resources
• Saudi Arabia, UAE, and Malaysia's parallel moves to capture AI infrastructure
• How the global compute map is being redrawn along energy cost lines

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: Kazakhstan data center, Ekibastuz, Central Asia data center, global AI infrastructure, data sovereignty, cheap electricity, coal power data center, emerging market data center, compute geography, AI geopolitics

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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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