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Home » Study disproves Major Myth: AI’s Energy Usage Is Notably Less Than Feared

Study disproves Major Myth: AI’s Energy Usage Is Notably Less Than Feared

Tarun Khanna by Tarun Khanna
December 1, 2025
in Artificial Intelligence, Technology
Reading Time: 2 mins read
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Study disproves Major Myth: AI’s Energy Usage Is Notably Less Than Feared

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Energy consumption in the U.S. Is evolving how people understand the environmental dangers related with AI.

New research challenges the common expectation that artificial intelligence places a heavy burden on the climate. The findings imply that latest levels of AI use have only a small effect on global greenhouse gas emissions and could even assist both environmental development and economic growth.

To investigate into these impacts, scientists from the University of Waterloo and the Georgia Institute of Technology combined data on the U.S. economic system with estimates of how broadly AI is being adopted throughout different industries. This method permitted them to venture the potential environmental outcomes if AI maintains to expand at its present tempo.

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Information from the U.S. Energy Information Administration shows that 83% of the nation nonetheless depends on petroleum, coal and natural gas, fuels that launch heat-trapping emissions while used. The researchers decided that although AI-associated electricity intake within the US is corresponding to the total energy use of Iceland, this amount remains too small to register meaningfully at the national or global level.

“It is important to note that the boom in energy use is not going to be uniform. It’s going to be felt more in the places where electricity is generated to power the data centers,” stated Dr. Juan Moreno-Cruz, a professor in the Faculty of Environment at Waterloo and Canada Research Chair in Energy Transitions. “If you observe that energy from the local point of view, that’s a massive deal because a few locations could see double the amount of electricity output and emissions. But at a larger scale, AI’s use of energy won’t be noticeable.”

Local Effects and Broader Opportunities

While this paper did not observe the effects on local economies in which the data centers are positioned, the researchers discovered some encouraging results.

“For individuals who consider that the usage of AI will be a primary hassle for the climate and think we should avoid it, we’re imparting a distinctive point of view,” Moreno-Cruz stated. “The consequences on climate are not that extensive, and we can use AI to develop green technologies or to improve existing ones.”

To attain their conclusions, environmental economists Moreno-Cruz and Dr. Anthony Harding tested different sectors of an economy, the jobs within those sectors, and what portion of them may be accomplished by AI.

Moreno-Cruz and Harding plan to repeat the study for other nations to measure the effects of AI adoption in other parts of the world.

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Tarun Khanna

Tarun Khanna

Founder DeepTech Bytes - Data Scientist | Author | IT Consultant
Tarun Khanna is a versatile and accomplished Data Scientist, with expertise in IT Consultancy as well as Specialization in Software Development and Digital Marketing Solutions.

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