🚨 Brookfield’s CEO runs the largest private power buildout on the planet.
His read on the AI bubble question:
Demand is real. Delivery is the constraint.
Each AI site costs $20B to $250B.
Why deliverable power, not chips, is the real AI bottleneck, and the number that shows how long the cash flows stay locked: 🧵
The chain to power one AI site:
Site the power.
Connect it to the grid.
Build the facility.
Install the chips.
Every step is slow and capital heavy. That is why deliverable supply lags expected supply. Per Brookfield, the gap is large.
When supply cannot keep up, whoever can build and energize capacity sets the terms.
Brookfield is one of the largest data center builders and the largest private power builder globally.
The scarcity accrues to the operators who deliver.
This is not a small bet.
Brookfield sits on roughly $1.3T in assets and $160B of equity invested alongside clients.
The capital is positioned behind contracted infrastructure, not speculation. $BN
Who signs these leases:
Top sovereigns building national AI.
The most creditworthy companies on earth, some rated better than countries.
This is demand from balance sheets that do not blink.
Here is what locks it in:
25 year contracts.
Scarce power plus terms that run decades equals durable cash flow, not a single year spike.
That is the difference between a trade and a franchise.
The risk:
The thesis rests on AI demand staying real. Cut the capex or jump compute efficiency and the scarcity unwinds from the demand side.
And Flatt runs the buildout. He is talking his book. Verify the demand before the supply.
Turns out the AI trade was never the chip. It was the wire that feeds it. 🚀
youtube.com/watch?v=ZPpcUU…
YouTube
English
