chokepoints.ai
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10 layers580 nodes2,376 dependencies9 chokepoints112 bottlenecks6,500+ companiesnode size = companies identified

Hyperscale AI cloud platforms

BOTTLENECK

Providers bundle AI compute with storage and networking, and $700 billion capex concentrates supply among three players.

Public clouds bundle AI compute with storage, networking and managed services. Enterprises pay extra for integration and simpler procurement. Combined capital spending topping $700 billion by 2026 will further concentrate the market.

Major public clouds offering integrated AI compute alongside a full managed-service stack.

What the evidence shows

AWS holds 30% global cloud market share, Azure 20%, Google 13%.

holori.com

Hyperscalers face grid power constraints, long equipment lead times, and local opposition in 2026.

datacenterknowledge.com
RESCORED JUL 2026oligopolyscaling6 companies

Who controls it

AWSMicrosoft AzureGoogle Cloud+3 more tracked
$172B market · 202237.8% CAGRsource

Where it sits in the stack

view in atlas

Related nodes

Neocloud / GPU-specialist cloud platformsBare-metal and GPU-as-a-service (dedicated)GPU broker / aggregator marketplaces

Full scorecard, owner shares, supply edges and the full tracked roster are in the desk letter.

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