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AI Infrastructure, Data Centers & Compute Buildout

Buildout of AI compute capacity: hyperscale and neocloud data centers, GPU/accelerator clusters, long-term compute contracts, vendor financing, capex programs, and the physical constraints (power, cooling, land, components, local opposition) that limit expansion.

The AI Capex Trade: Conviction vs. Caution

By KAPUALabs
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Meta's AI Infrastructure: Power, Politics, and the Path to Monetization

By KAPUALabs
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Capital as a Weapon: How NVIDIA Rewrites the AI Buildout

By KAPUALabs
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AI Infrastructure Shifts to Institutional Ownership as Hyperscalers Offload Capital Risk

By KAPUALabs
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Meta AI Spend: Moat Expansion or Margin Compression Trap?

By KAPUALabs
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Bull Case: AI Demand Outruns Infrastructure Supply

By KAPUALabs
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Can Meta Build Its AI Stack Before the Bottlenecks Bite?

By KAPUALabs
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The AI Capital Cycle Runs Through NVIDIA and Five Hyperscalers

By KAPUALabs
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AI's New Scaling Law: Megawatts, Not Parameters, Now Drive the Infrastructure Cycle

By KAPUALabs
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The $870 Billion Question: Boom or Bubble

By KAPUALabs
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AI's Hidden Constraint: Why Electricity Grids Can't Keep Pace with Compute Demand

By KAPUALabs
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Nebius: The Bull Case Relies on Capacity, Not Contracts

By KAPUALabs
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