🔍 Who Will Power the AI Energy Boom?
AI’s energy demand is exploding — and these 3 companies are best positioned to fuel the revolution.
Everyone is talking about AI. Every week brings a new breakthrough — a smarter chatbot, a more advanced language model, or an app that can generate realistic images and videos in seconds.
But behind all this digital progress is a growing network of data centers, servers, and cooling systems that keep AI running day and night. And all that infrastructure runs on one thing: electricity.
As AI keeps getting bigger, faster, and more powerful, the demand for energy is rising fast.
⚡ We Need More Electricity
AI data centers already use a lot of power, and that number keeps rising every month. By the end of 2025, they’re expected to consume around 536 TWh of electricity a year. That’s about 2% of all power used worldwide, similar to the yearly use of Japan. In the United States, data centers are on track to use around 224 TWh this year, close to 5% of the country’s total electricity.
And this is only the beginning. As AI continues to grow, electricity demand from data centers could quadruple over the next 10 years — reaching around 1,600 TWh by 2035, or more than 4% of global power demand.
Source: BloombergNEF
If data centers were a country, they’d already rank fourth in the world for electricity use — just behind China, the United States, and India.
In places like Texas and Virginia, power demand from AI data centers is now growing faster than demand from electric cars, hydrogen projects, or any other new technology.
It’s becoming clear that AI’s next big challenge isn’t data or chips — it’s having enough power to keep the lights on.
🔋 The Players Powering the AI Era
Meeting the growing power needs of AI isn’t just about building more data centers — it’s about making sure there’s enough energy to keep them running. In this section, we highlight some of the most important players shaping the new energy landscape. A wide range of companies is now working to meet that challenge. They can be divided into four categories:
Power Producers & Utilities – the companies generating the electricity that keeps AI data centers running.
Nuclear Innovators – next-generation players developing small, modular, and local nuclear solutions.
Clean-Tech & Storage Enablers – firms improving how energy is stored and used across the grid.
Grid & Infrastructure Builders – the engineers and contractors modernizing the power networks that connect it all.
🏭 1. Power Producers & Utilities
The companies that actually generate electricity are the most direct winners of AI’s power boom. Every new data center needs huge amounts of steady, reliable energy — and these utilities are the ones keeping everything running:
Constellation Energy (CEG) – The largest producer of carbon-free electricity in the U.S., powered mostly by nuclear energy. Constellation already supplies clean power to Microsoft, Google, and Amazon — putting it right at the center of the AI build-out.
Vistra (VST) – A U.S. power company with gas, battery, and nuclear plants. Its strong presence in Texas — one of the fastest-growing hubs for data centers — makes it perfectly positioned to meet the surge in AI-driven demand.
NextEra Energy (NEE) – North America’s biggest renewable-energy company, operating the largest wind and solar portfolio on the continent. As AI firms push to use greener power, NextEra is quickly becoming a key partner for the major tech players.
NRG Energy (NRG) – A major U.S. electricity supplier with a mix of natural gas and renewables. NRG helps balance the grid and ensure uptime as data centers run non-stop across the country.
Together, these companies form the backbone of the AI energy chain — delivering the electricity that makes the digital world run.
☢️ 2. Nuclear Innovators
While today’s power grid still relies heavily on traditional nuclear and gas plants, a new generation of companies is reinventing nuclear energy for the AI era — smaller, safer, and closer to where the demand is.
Oklo (OKLO) – Backed by Sam Altman, Oklo is building compact nuclear reactors designed to power data centers and industrial sites. Their small size and self-contained design make them ideal for local, 24/7 AI operations.
NuScale Power (SMR) – A pioneer in small modular reactors (SMRs) that can be built faster and in more places than traditional plants. NuScale’s approach could make nuclear a flexible and scalable option for data-center power.
Cameco (CCJ) and Centrus Energy (LEU) – These companies supply the uranium and advanced nuclear fuel that new and existing reactors depend on — the essential materials that keep nuclear energy in motion.
Nuclear power is making a comeback — offering a low-carbon, faster way to produce reliable energy for AI data centers. But building this new generation of reactors will still take years.
🌱 3. Clean Tech & Storage
AI isn’t just driving demand for more electricity — it’s also pushing the grid to become smarter and more efficient. That’s where clean-energy and storage companies come in. They don’t generate power themselves, but they help store it, balance it, and make sure it’s available when data centers need it most.
Fluence Energy (FLNC) – A global leader in large-scale battery storage. Fluence helps utilities manage supply and demand as AI-driven energy use becomes more unpredictable. Its systems are already deployed across major data-center regions.
Bloom Energy (BE) – Builds on-site fuel cells that can deliver reliable, low-emission power directly to data centers. Bloom’s systems reduce grid dependency and help companies meet sustainability goals without sacrificing uptime.
Eos Energy (EOSE) – Developing zinc-based batteries that store energy longer and more safely than traditional lithium systems. The technology is promising, but Eos remains in an early stage and carries higher risk as it scales production.
These companies are building the flexibility layer of the AI energy system — ensuring that as demand keeps growing, the grid can keep up.
🏗️ 4. Grid & Infrastructure Builders
Even the best power producers and battery systems can’t do much without strong infrastructure. As AI data centers multiply, so does the need for modern power lines, transformers, and grid upgrades to deliver all that electricity where it’s needed.
Quanta Services (PWR) – One of the largest contractors modernizing power grids in North America. Quanta designs and installs transmission lines, substations, and fiber networks — the backbone of the digital and energy infrastructure powering AI.
GE Vernova (GEV) – Recently spun off from General Electric, GE Vernova focuses on turbines, grid equipment, and software that help connect renewable energy sources to the grid. Its technology improves efficiency and keeps the system stable as power demand soars.
They’re the foundation of the AI energy economy — making sure that power, wherever it’s produced, actually reaches the servers driving the next wave of innovation.
The AI energy race is heating up 🔥
There will be winners — and there will be losers.
We’ve identified 3 energy stocks we believe are perfectly positioned to power the AI era.
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