US EditionShould We Be Worried About AI's Growing Energy Use?
- Experts and companies highlight AI's rising energy and water demands strain resources amid rapid growth in generative AI and data centers.
- The expansion follows widespread adoption of AI tools and construction of data centers mainly in water-stressed regions with limited regulatory transparency.
- Nvidia states its GPUs run AI more energy-efficiently than CPUs, while OpenAI acknowledges training large models is energy-intensive but works to improve efficiency.
- A study reports smarter AI models emit up to 50 times more carbon per response than simpler ones, and U.S. data centers consume about 4.4% of national electricity currently.
- These trends suggest AI's environmental impact will grow, prompting calls for sparing use, greater transparency, and balancing AI benefits with climate goals.
12 Articles
12 Articles
Study reveals how much energy AI uses to answer your questions
By Kameryn Griesser, CNN Whether it’s answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people’s lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up. Each word in an AI prompt is broken down into clusters of numbers called “token IDs” and sent to massive data centers — some larger than football fields — …
AI tools vary in their environmental impact as energy demands grow
Generative AI systems like chatbots require vastly different amounts of energy to run, with the largest models emitting significantly more carbon despite offering limited gains in accuracy, new research shows.Sachi Kitajima Mulkey reports for The New York Times.In short:A Department of Energy report projects U.S. data centers could consume up to 12% of the nation’s electricity by 2028 due to AI growth, up from 4.4% today, potentially increasing …
The article Green Prompting: How you can keep AI's energy consumption in check was first published in the online magazine BASIC thinking. About our newsletter UPDATE you start the day with great information every morning. After the hype about the skills of language models, more and more the problems come to the fore. Among them: false information in the form of hallucinations and the enormous energy consumption of AI. The user inputs, the so-cal…
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