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Amid rising demand for data centers and computing power for artificial intelligence (AI), cloud storage, and crypto assets, analysts are predicting a significant rise in electricity demand, potentially overloading the U.S. power grid.

A new report from The Conference Board,Smart Power: Will AI Spike Electricity Demand or Reduce It Through Efficiencies?” analyzes the potential that the rise of AI will fuel a major increase in electricity demand. It provides in-depth analysis and strategic insights for managing the potential power grid strain and harnessing AI efficiencies. Among the report’s key insights:

Power Demand From Data Centers Is Projected To Significantly Increase.

  • Analysts project that power demand from data centers could more than double over the next decade.
  • This increase is expected to place significant pressure on the existing electricity grid, potentially creating outages and reliability issues.
  • The expansion of data centers—roughly $500 billion investments in industrial and manufacturing facilities since 2021—has already substantially upgraded forecasts for overall U.S. power usage.
  • Nationwide, electricity demand is now expected to grow 4.7% over the next five years—nearly double the previous forecast for 2.6% growth.

Despite Previous Predictions, Dramatic Increases In Energy Demand Did Not Materialize As Expected.

  • The past two decades have seen relatively stagnant electricity demand, despite corresponding with dramatic increases in smartphone and internet usage.
  • In 2007, the EPA estimated that energy consumption in the U.S. by data centers and related technologies would double between 2005 and 2010, but the actual increase was only 36%.
  • Advances in energy efficiency, such as LED lighting and improvements in technology, combined with the decline in demand due to the 2008-2009 recession, helped mitigate the predicted spikes in energy demand.

AI Will Seriously Tax Utilities And The Power Grid In The Decade Ahead—But Also Has The Potential To Unlock Significant Efficiencies In Electricity Use.

  • Current-generation AI models like ChatGPT now use over 500,000 kWh per day to operate—compared to 29 kWh for the average U.S. household.
  • AI’s computational power is projected to double every 100 days, increasing global energy demand attributed to AI by 26% to 36% annually in the coming years.
  • Implementing AI to manage electricity usage—for instance, by shifting the most taxing tasks to off-peak hours—can result in efficiency savings, reducing costs and enhancing the capacity of energy systems.
  • If the added computational power of AI allows businesses to achieve greater efficiencies and utilities to operate more effectively when managing their own operations, then the increase in power demand due to AI could be lower than projected—as happened with the rise of smartphones and the internet in the 2000s and 2010s—and support climate goals.

The U.S. Energy Grid And Water Resources Face Significant Challenges Due To Increased Demand.

  • There are more than 8,000 data centers in operation globally, with approximately one-third located in the U.S., driving significant demand for water and critical infrastructure components.
  • On average, data centers are estimated to use between one million and five million gallons of water per day, equivalent to the daily demand of 10,000 to 50,000 residents.
  • Long-term planning is critical, and the Federal Regulatory Energy Commission Order No. 1920 now requires transmission operators to plan for future demand, addressing capacity needs over the next 20 years.
  • A shortage of transformers, a critical component of grid infrastructure, continues to create constraints within U.S. energy markets, exacerbated by the increased demand from data centers and AI technologies.
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