The $5 Trillion Question: AI Capex Is Outrunning AI Revenue by a Dangerous Margin
The hyperscalers are spending $700 billion this year on AI infrastructure. The enterprise adoption rates don't justify it yet. Something has to give.
A report published on March 12 puts cumulative AI infrastructure capital expenditure at $5 trillion between 2025 and 2030. That's not a typo and it's not a projection from an AI booster with a blog. It comes from a detailed capex analysis tracking commitments already announced or in procurement pipelines across the hyperscaler ecosystem.
Let that number breathe for a second. Five trillion dollars. In infrastructure alone. Not software, not services, not the army of ML engineers billing $400/hour. Just the buildings, the chips, the power, the cooling, and the networking gear.
The question nobody in a boardroom wants to answer: where's the revenue to match it?