"AI isn't just a software story - it's an energy story. According to estimates from the International Energy Agency, global data center electricity demand could more than double by 2030. Training large AI models and running inference workloads require massive, always-on power."
"A single large data center can consume 100 to 300 megawatts of power - roughly the equivalent of 80,000 to 250,000 homes. Total infrastructure spending by major hyperscalers is approaching $700 billion this year, with much of it directed toward AI."
"In its latest earnings release, GE reported $2.4 billion in new data center-related orders in Q1 alone, which is more than the $2.2 billion it reported for all of 2025. That's demand showing up in signed contracts."
The demand for electricity in data centers is set to double by 2030, driven by AI's need for reliable energy. A large data center consumes as much power as 250,000 homes. GE Vernova is positioned to capitalize on this demand surge, reporting $2.4 billion in new data center orders in Q1, surpassing its total for 2025. The company operates in power, wind, and electrification sectors, focusing on energy solutions critical for AI infrastructure.
Read at 24/7 Wall St.
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