AI’s Next Bottleneck Isn’t Chips — It’s Electricity ⚡
The AI trade is starting to look very different.
$Vistra jumped more than 10% after the U.S. Department of Energy announced a conditional loan commitment of up to $4.2 billion for nuclear upgrades. The projects are expected to preserve nearly 4 GW of existing capacity and add another 433 MW. 
At the same time, $Nebius rallied on new AI inference demand.
These companies operate in completely different industries, but the connection is becoming harder to ignore:
AI needs enormous amounts of electricity.
The first wave of the AI trade was about GPUs.
The next wave could be about everything required to keep those GPUs running.
That means nuclear power, grid infrastructure, cooling, data centres, networking and storage could all become part of the same investment chain.
What I find interesting is that power isn’t an optional input.
You can order more GPUs.
You can build another data centre.
But if there isn’t enough reliable electricity available, the whole project gets delayed.
That makes power availability a potential constraint on AI growth rather than simply another operating cost.
The risk is valuation. Investors are already anticipating years of AI-driven electricity demand, so the question becomes how much of that future is already reflected in power stocks.
The AI trade may be moving from “who builds the chip?” to “who has the power to run it?”
That could be one of the biggest second-order opportunities in this cycle.
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