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CLIMATE HERO OR VILLAIN?
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- Author(s): YOUNG, JEFF (AUTHOR)
- Source:
Newsweek Global. 10/4/2024, Vol. 183 Issue 9, p20-27. 8p. 10 Color Photographs, 1 Chart.
- Additional Information
- Subject Terms:
- Abstract:
The article explores the environmental impact of artificial intelligence (AI) and data centers. While AI has the potential to contribute to clean energy and climate change solutions, the energy demands of AI and data centers are leading to increased emissions. Data centers consume significant amounts of electricity and require additional power for cooling, potentially consuming 9% of all U.S. electricity generation by the end of the decade. Despite efforts to invest in clean energy, the growth of AI has resulted in higher greenhouse gas emissions. However, there are ongoing efforts to improve energy efficiency in AI technology and data centers, as well as calls for transparency regarding the energy footprint of AI models. The article also highlights the potential benefits of AI in addressing climate change, such as cleaner manufacturing and improved flooding predictions, but acknowledges that AI is also used in ways that worsen climate change, such as in the oil and gas industry and targeted advertising. The growth of AI raises concerns about the availability of clean energy to power data centers, as connecting clean energy to the grid can be a lengthy process. Power providers often resort to gas-fired turbines, which hinder climate action. Despite emission reduction targets, companies like Microsoft and Google have seen an increase in CO2 emissions due to AI. In conclusion, while AI has the potential to contribute positively to climate change mitigation, it also presents challenges that need to be addressed. [Extracted from the article]
- Abstract:
Copyright of Newsweek Global is the property of Newsweek Publishing LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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