If you think ChatGPT, Google Bard, or that AI-generated image of a cat wearing a spacesuit costs next to nothing to create, think again. Artificial intelligence might feel digital and intangible, but it’s powered by an energy-hungry physical infrastructure: data centers.
And as AI scales up, so does the electricity bill.
In fact, the International Energy Agency projects that by 2026, data centers could consume 20% of the total electricity supply in the U.S.
That’s not just a big number – it’s a total transformation of the energy market.
How Much Power Are We Talking?
A single large data center can consume 700,000 kilowatt-hours (kWh) per week.
For context, the average U.S. home uses about 210 kWh per week. That means one data center can burn through as much electricity as 3,300 homes per week.
Multiply that by thousands of facilities, and you begin to understand why utilities are starting to panic.
Add to that the fact that AI workloads (especially training large models like GPT-4 or Meta’s LLaMA) require 10x to 100x more energy than standard cloud computing tasks.
The power demand isn’t just growing – it’s accelerating exponentially.
Why Data Centers Can’t Run on Intermittent Energy
Unlike your Netflix stream or your smart fridge, data centers can’t afford to blink. They need constant, uninterrupted power 24/7/365.
That rules out intermittent energy sources like wind and solar. Even with large battery installations, renewables can’t provide consistent baseload power at the scale AI requires.
That means we need energy sources that are always on. We’re talking about baseload power.
What Counts as Baseload Power?
There are only a few options that deliver this kind of reliability:
- Natural Gas: Highly flexible, relatively clean, and quick to ramp up.
- Coal: Still in the mix, though declining due to emissions and regulatory pressure.
- Nuclear: Clean and powerful, but slow and expensive to build.
So where does that leave us?
Why Nuclear Isn’t Ready (Yet)
Traditional nuclear reactors take 7 to 15 years to build. The only major nuclear project in the U.S. in recent memory—Vogtle Units 3 and 4—took 14+ years and cost over $30 billion.
Small modular reactors (SMRs) are the exciting future of nuclear energy. But the key word is future…
While Canada has started construction on its first BWRX-300 and the U.S. has approved designs from NuScale and Holtec, none will be online in time to meet the surge in demand that’s happening NOW…
SMRs will most likely play a growing role in the energy mix by the 2030s. But they’re not here now.
And the AI energy crunch is happening now.
The Case for Oil and Gas
So, if nuclear can’t help in time, and renewables can’t provide uninterrupted power, who’s left to carry the load?
You guessed it: oil and gas.
Oil, in particular, is already the top source of U.S. electricity generation, followed closely by natural gas…
They’re both abundant, fast to scale, and can be deployed flexibly to meet surging demand.
And natural gas is also increasingly paired with carbon capture and other innovations that improve its environmental profile.
Here’s what makes oil and gas the best bet for meeting AI-driven power demand over the next decade:
- Speed: New gas plants can come online in 2–3 years, far faster than nuclear.
- Scalability: U.S. shale formations offer massive untapped reserves.
- Infrastructure: Pipelines, LNG terminals, and gas turbines are already in place.
Where the Smart Money Is Going
Big investors are already piling into energy infrastructure to support AI…
Warren Buffett, for example, has been doubling down on oil and gas. He knows what we’re all starting to realize: without a strong energy backbone, the AI revolution stalls.
And while the majors like Exxon and Chevron will benefit, the real upside is in the smaller exploration and production companies with high growth potential.
One to Watch: Prairie Operating Company (NASDAQ: PROP)
Prairie Operating Company is a nimble, fast-growing U.S.-based oil and gas company focused on efficient, low-cost production from domestic shale assets.
With oil and natural gas demand booming from AI data centers, power-hungry crypto, and LNG exports, companies like PROP are positioned to thrive.
What sets Prairie apart is its strategic location and focus on scalable development…
The company holds thousands of acres of high-potential leases in energy-rich basins and has streamlined operations to keep drilling costs low while maximizing output.
That means more cash flow when prices are high—and a leaner break-even point when prices dip.
PROP also benefits from existing infrastructure, which means it can bring production online faster than many of its competitors. It’s the kind of operational agility that institutional investors look for when power demand – and energy prices – are about to spike.
In short, Prairie Operating Company (NASDAQ: PROP) is the kind of early-stage energy play that could grow significantly as the AI power demand story unfolds.
The Bottom Line
The AI boom is driving an energy crisis that most investors haven’t priced in yet. With nuclear still years away and renewables unable to deliver reliable baseload power, oil and gas will do the heavy lifting for at least the next decade.
That makes now the perfect time to look into small oil and gas producers set to benefit from this megatrend.
Learn more about Prairie Operating Company (NASDAQ: PROP) and how you can position your portfolio to profit from the explosive growth of AI…
Because the next part of this revolution isn’t about software or hardware. It’s about the energy systems that make it all possible.