Jensen Huang Highlights Need for Increased AI Power: Explore 3 Industrial Stocks Poised to Meet Demand

Key Developments in Power Demand for AI

During a Stanford University lecture in May, Nvidia CEO Jensen Huang projected that the energy demands for AI computing could be “1,000 times more” than current production levels. This aligns with Goldman Sachs’ prediction that U.S. data centers’ power requirements will more than double from 31 gigawatts (GW) in 2025 to 66 GW by 2027, pushing AI’s consumption to over 8% of the nation’s total power output.

GE Vernova, the power generation arm of General Electric, sees significant demand for its natural gas turbines, which can produce between 34.5 MW and 571 MW, catering to the growing needs of data centers. With a backlog of $176 billion and expected revenues of $46 billion in 2026, GE Vernova is well-positioned to meet this surge in demand. Similarly, Vistra, a unique power utility, has entered long-term agreements to supply electricity for AI data centers, while Caterpillar reports a 30% growth in its power generation division, expecting it to double by 2030.