BlackRock: AI compute could be tokenized.
Translation:
compute is about to get a market.
The world’s largest asset manager just named the future.
We’re building the unit it needs.
1 cT = 1 GPU-hour.
Fungible. Redeemable. Tradable.
That’s the layer.
The debate on AI compute has moved.
From "will demand exist?"
To "do the unit economics work?"
GPU pricing, financing costs, utilization.
Contracted power, density, offtake.
A 1GW factory only works if it can be rented, powered, and paid back.
Some names are being marked down on returns.
Others are being marked up for contracted power, density, and long-term offtake.
The market is underwriting compute like real assets now, not like a theme.
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Every major technology wave creates new forms of infrastructure.
The internet created data centers.
Mobile created cloud infrastructure.
AI is creating demand for computational capacity.
GPUs, energy, and data centers are becoming critical inputs of the AI economy.
The next financial markets may not only trade assets.
They may trade access to the infrastructure powering them.
Compute and energy are becoming increasingly inseparable.
Every additional AI workload requires more than GPUs.
It requires electricity, cooling, networking, and physical infrastructure.
As AI demand grows, access to reliable power may become just as important as access to compute capacity.
In the AI economy, megawatts and megaflops are becoming two sides of the same equation.
Financial markets have evolved alongside every major industrial shift.
From commodities.
To energy.
To digital assets.
The AI economy introduces a new category:
Computational infrastructure.
At Rax Finance, we're exploring how markets can better understand, measure, and interact with the infrastructure powering the AI era.
The future of finance will not only value assets.
It will value future possibilities.
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