Jun 6, 10:30 AM

Goldman Sachs Predicts 166% Surge in U.S. Electricity Consumption by 2030 Due to AI

Goldman Sachs predicts a significant increase in electricity consumption in the U.S. due to the rapid growth of data centers powering AI platforms like ChatGPT, explains CEO Frank. According to the Electric Power Research Institute (EPRI), generative AI demands exponentially more power per query compared to traditional search, which is driving this surge. EPRI projects that power consumption by U.S. data centers could increase by 166% by 2030. The rise in energy demand is prompting changes in IT procurement strategies to accommodate the higher power requirements. Additionally, there is a growing focus on how renewable energy can support AI's expanding electricity needs.

#Goldman Sachs #ChatGPT #Frank #Electric Power Research Institute #EPRI

Written with ChatGPT (GPT-4o).

Sources

AIPressRoom@AIPressRoom
2 years ago
Powering the Future: How Renewable Energy Can Support AI's Growing Electricity Needs - AI Time Journal https://t.co/IpaWvJJ5co
Jennifer Stirrup #MBA Topics: #AI #Data #Strategy@jenstirrup
2 years ago
AI’s energy hunger upends IT’s procurement strategy. The EPRI report projects total #datacenter power consumption by U.S. data centres alone could increase to 166% by 2030. #GenAI requires exponentially more power per query even when not including images https://t.co/0Bx4OYsuMx
Zachary Salyers@SalyersAi
2 years ago
AI is revolutionizing U.S. energy! 🤖 From optimizing energy distribution to predictive maintenance, AI is enhancing efficiency and reliability. How do you think AI will shape our energy future? 🔋 #AI #EnergyInnovation

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