The rapid advancement of artificial intelligence (AI) has brought about remarkable tools like ChatGPT, which have quickly become integral to our daily digital interactions. However, this technological leap comes with a significant energy cost. A striking example is ChatGPT, that is estimated to consume over half a million kilowatt-hours of electricity daily to handle around 200 million requests. This figure dwarfs the average daily energy usage of a US household, which stands at approximately 29 kilowatt-hours.
The energy demands of AI are not just substantial; they are soaring. If tech giants were to integrate AI into every search query, the annual energy consumption could rival that of entire nations. The AI sector's hunger for electricity is projected to reach between 85 to 134 terawatt-hours by 2027, potentially accounting for half a percent of global electricity usage. This is a stark contrast to some of the world's most energy-intensive businesses, which use significantly less.
The challenge lies in the variability of AI models and the reticence of Big Tech companies to disclose their energy consumption. Despite this, rough estimates based on market share figures suggest that AI's energy footprint is expanding rapidly. As AI continues to evolve and integrate into more aspects of our lives, the industry must address its 'insatiable' energy appetite and seek sustainable solutions to power the future of technology.
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