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    Home»AI/ML»Use of AI Energy: Why you should not panic
    AI/ML

    Use of AI Energy: Why you should not panic

    PineapplesUpdateBy PineapplesUpdateApril 30, 2025No Comments2 Mins Read
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    Use of AI Energy: Why you should not panic
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    Use of AI Energy: Why you should not panic

    The world collectively is frightening about the development of artificial intelligence and its stress on the power grid. But an eye on power load growth in the United States in the last 75 years suggests that innovations in efficiency constantly compensate for tireless technological progress.

    In the 1950s, for example, rural America electrified, bounce into the industrial sector, and the owners of the house rapidly spinned Nifty home appliances such as clothes dryers and deep freezers. This increases the demand for electricity on an average of about 9 percent of the breathtaking clips per year. This development continued in the 1960s as homes and businesses easily adopted air conditioners and industrial sectors automatically. But in the next 30 years, industrial processes such as steelmaking became more efficient, and home appliances did more with less power.

    Around 2000, computing attacks brought widespread concerns about its power demand. But even with the explosion of internet use and credit card transactions, compensation was given by improving computing and industrial capacity and adopting LED lighting. Pure results: The average power growth in the United States was almost flat from 2000 to 2020.

    Now it is back on the growth, AI is driven by data centers and motivated by the construction of battery and semiconductor chips. Electricity demand is expected to increase more than 3 percent every year for the next five years.
    Grid strategiesAn energy research firm in Washington, DC “Today three percent per year is more than 3 percent challenging in the 1960s because the baseline is very large,” John WilsonAn energy regulation specialist in grid strategies.

    Can the United States compete with development with innovation in data-center and industrial efficiency? History suggests that it can do it.

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