6 energy stocks that will become the aorta of the AI era.🔋⚡

How fast is AI growing? Just training one model. It can take thousands of homes all year. 🔥

The AI-compatible Data Center has become a giant "fire-eating plant" → It requires stable, clean and expandable energy in time to meet demand.

This is why Big Tech like Microsoft, Amazon, Google are starting to shake hands with power companies directly.

⚡ 6 Energy Companies Important to AI

1.Constellation Energy (CEG)

• Leaders of the largest U.S. nuclear plants

• There is a clean "base-load" electricity → 24 / 7 power supply without worrying about sunlight or wind force.

• Direct Clean Electrical Supply Signs with Microsoft and Meta → Data Center Artery

2.NextEra Energy (NEE)

• Utility is the largest in the US (Market Cap level of 100 billion)

• Mixed Energy Variety: Wind, Solar, Natural Gas, and Nuclear

• Use AI to help run the Smart Grid → Reduce the likelihood of blackouts, stabilize the Data Center continuously.

3.GE Vernova (GEV)

• Energy technology companies spun off from GE

• Behind new power plant infrastructure around the world

• Developing Small Modular Reactors (SMR) + Ad Hoc Gas Power Plant → Supports Non-Stop Drifting Data Center Demand

4.Oklo (OKLO)

• Promising nuclear startups disrupt the market.

• "Power-as-a-Service" model → Data Center does not have to build its own firehouse, just rent power from OKLO

• Developing a small SMR installed directly near the Data Center → Solving both speed and flexibility

5.Talen Energy (TLN)

• Good early guys, power matches Big Tech (Amazon)

• Use existing nuclear power plants + plan to invest more in SMR

• The highlight is "Direct Fire Sale to Data Center" → Does not pass through middle-class utilities. Reduces electricity cost risk.

6.NuScale Power (SMR)

• One of the first companies to receive SMR permission from the U.S. government.

• There is a contract with UAMPS (Large Utility) for commercial SMR projects.

• It has been watched that it may be a "new standard" of electricity AI → scale, actually + cost is cheaper when building multiple modules.

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