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The Power Allocation

The Power Allocation

Written by: Spring Street Management Group
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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. New episodes daily. Subscribe wherever you listen.© 2026 Spring Street Management Group Economics Personal Finance
Episodes
  • The Time Lag Capital Underestimates in Power Delivery
    Jan 13 2026

    Capital can be deployed in months. Power infrastructure takes years. This mismatch is the defining tension of the AI buildout.

    A 200-megawatt data center requires 12-24 months for land and permitting, 18-24 months for construction, and 24-48 months for grid interconnection. Money raised in 2024 may not translate into running compute until 2028 or later.

    The AI infrastructure winners will be determined by decisions made in 2020-2023, not decisions being made now. Capital moves fast. Infrastructure moves on its own schedule.]]>

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    3 mins
  • Why Renewable Power Alone Isn't Enough
    Jan 12 2026

    Every hyperscaler has announced ambitious renewable energy targets. But renewables alone cannot power the AI buildout. Here's why.

    AI workloads run continuously. Solar generates power roughly 25% of the time. Wind achieves 35-45% capacity factors. Neither provides the baseload reliability that AI facilities require. Battery storage helps but remains expensive at scale.

    The AI buildout is driving investment in both renewables and dispatchable generation. Clean energy is a goal. Reliable power is a requirement.]]>

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    2 mins
  • Why Utilities Are the Quiet Kingmakers of AI
    Jan 9 2026

    The AI buildout depends on decisions made by regulated utilities — entities most tech investors have never studied. Utilities are the quiet kingmakers of this cycle.

    Utilities operate under regulatory frameworks that prioritize reliability and rate stability. Adding 200 megawatts of load for a single customer requires new substations, transmission upgrades, and generation procurement — all approved by state regulators.

    Utility strategy is becoming a differentiator in AI infrastructure deployment. Companies that understand how to work within regulated frameworks have structural advantages that pure capital cannot replicate.]]>

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    3 mins
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