Everyone's talking about AI - markets have been volatile as fears grow on a potential AI bubble.

Regardless, businesses are spending on AI. Tech companies are expected to spend more on AI in 2026 than it took the U.S. to build the entire interstate highway system.

Why? Demand. From businesses to consumers, everyone is using AI.

But there’s a huge problem with the AI boom. Energy.

A single AI data center can consume enough electricity to power 80,000 homes. 

And right now, hundreds of these data centers are being built - with more on the way.

The U.S. power grid wasn't built for this. Connecting a new data center to the grid takes years. 

Regulations slow things down. Supply chains are tight. And companies like Amazon, Microsoft, and Google simply can't afford to wait.

So what's the fastest solution available right now?

Natural gas turbines.

GE Vernova (GEV) is one of the few companies that is able to supply these natural gas turbines as an energy source to data centers at scale right now.

And while the world explores other options to power data centers like nuclear, wind, and solar energy, demand is high right now.

That’s led to an increase in spending on these gas turbines - and increased revenue and profits for GE Vernova.

GEV is a potential opportunity the market may be overlooking right now.

Let’s break down this data center market shift, why GE Vernova is emerging as a leading stock right now, and the risks investors need to know.

Here’s the thing: GE Vernova is not the only opportunity market analysts have identified in the this data center energy shift.

Power infrastructure is repricing, and so is the money that pays for it. Our CEO Jaspreet Singh explains on September 29th in his free workshop on how to profit from a dollar that is losing its value.

Why Gas Turbines - and Why Now

Unlike solar or wind, gas turbines don't depend on the weather. You can turn them on and off at will. That makes them what the industry calls "dispatchable capacity" - power on demand.

Better yet, they can be installed on-site or nearby, and start generating power within months - not years.

As a result, multi-year investments from data center operators are flowing directly into turbine manufacturers, creating long-term contracts, growing backlogs, and rising revenues.

The gas turbine market was valued at $16.7 billion in 2023. It's projected to reach $30.4 billion by 2034 - a 5.5% CAGR.

Where GE Vernova (GEV) Fits In

GE Vernova is the world leader in gas turbine production.

Their turbine business has been around for over 60 years, with early projects dating back to the 1940s. That kind of institutional knowledge is hard to replicate - and it gives GEV a deep moat.

Here's what makes GEV especially attractive in this moment:

Speed. GEV can install turbines sometimes in days and begin generating power within 5 minutes. 

For hyperscalers - the Amazons, Googles, and Metas of the world - that kind of speed is everything.

GEV also has longstanding partnerships with natural gas suppliers like Chevron (the 7th largest natural gas producer in the world by revenue), giving them a streamlined path to on-site power solutions.

And they're not standing still. GEV is actively developing hydrogen-powered turbines as a more sustainable long-term option.

GEV: By The Numbers

The demand surge is showing up in GEV's financials.

(Data via GE Vernova 10-Q)

Nine-month revenues climbed from $24.4 billion to $27.1 billion year-over-year. 

The company flipped from operating losses to operating income. That's not a blip - it's a trend.

And the backlog keeps growing, as data center operators sign long-term contracts to lock in supply.

GEV Stock Performance

GEV spun off from GE on April 2, 2024. Since then, shares have risen nearly 543% as of February 24th, 2026.

The stock is also up over 46% as of February 24th, 2026. For context, the S&P 500 is up only 7% in that same time period.

It has pulled back from recent highs - supply chain disruptions tied to tariffs and geopolitical tensions (Red Sea, Russia-Ukraine, the Strait of Hormuz) have added a bit of volatility. 

That's worth keeping in mind.

But the underlying demand story hasn't changed. 

Data centers are still being built, contracts are still being signed, and GEV is still one of the few companies with the scale and infrastructure to deliver power fast.

The Risk Picture

No shift comes without risk - and this one has a few worth watching.

The price of natural gas fluctuates. Rising fuel costs could squeeze margins for the industry.

There's also the longer-term question: if nuclear power, immersion cooling, or space-based data centers become viable, the urgency around gas turbines fades. 

Those alternatives are likely years away from widespread adoption - but they're real.

Policy is another wildcard. Right now there's minimal regulation around on-site gas-powered energy sources. That could change.

Supply chains aren't strained yet - but if demand accelerates faster than production can scale, that changes too.

Lastly, data center use and demand could fall if AI demand decreases. While unlikely in the short term, it could happen, and lower GE Vernova’s revenue potential.

GE Vernova (GEV) Stock: Final Thoughts

Every time someone uses ChatGPT, streams a show, or backs up their phone, a data center somewhere handles it.

Those data centers need power. The grid can't keep up. 

And right now, the fastest, most proven solution is a gas turbine - which puts GE Vernova in the middle of one of the most important infrastructure stories of the decade.

GEV isn't a moonshot bet on a startup. It's a 60-year-old industrial company that suddenly finds itself at the center of the AI power crisis.

Watch for contract announcements from data center operators, backlog updates in GEV's earnings, and any policy shifts around on-site power generation.

Those events could signal a catalyst for GEV that may rise or fall in the future.

Rebuilding the grid takes hard assets and cheap dollars. Join our CEO Jaspreet Singh on September 29th for a free workshop on how to profit from a dollar that is losing its value.