CyberGeo

Podcast 017: AI Energy Consumption Estimates


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I created this episode using Google’s NotebookLM, an AI Research Assistant. 

Intro: During an interesting discussion at the office regarding the use of AI, someone raised the point regarding the energy consumption of AI tools. Here follows a summary of what I could determine from various sources, including a Grok 3 search on the same topic.

Summary:

The provided sources collectively examine the burgeoning impact of artificial intelligence (AI), primarily focusing on the significant energy demands associated with its widespread adoption and the potential benefits and challenges it presents across various sectors.

In summary, while AI presents significant challenges related to its rapidly increasing energy consumption and environmental footprint, it also offers potential solutions for energy optimization and holds immense promise for advancements in diverse fields, underscoring the need for coordinated efforts to ensure its sustainable development and deployment.

I used Grok 3 to estimate usage in 10W LED Ligthbulb Terms:

Generating a Report in ChatGPT: 2–9 minutes

Deepsearch in Grok3: 6–12 minutes

NotebookLM Audio Summary: 9–12 minutes

Google Search: approx 1.8 minutes

Sources:

"AI and the energy required to power it fuel new climate concerns" (Video transcript from PBS NewsHour YouTube channel).

Link to PBS NewsHour YouTube channel

"Automated echocardiographic left ventricular dimension assessment in dogs using artificial intelligence: Development and validation - PMC" (Article from PubMed Central).

Link via DOI1

"Energy & AI" (Video transcript from International Energy Agency YouTube channel).

Link to International Energy Agency YouTube channel

"Energy Use of AI Tasks: Estimates and Comparisons" (Article from Epoch AI website).

Link to article2

"Google and Microsoft report growing emissions as they double-down on AI : NPR" (Article from NPR website).

Note: A direct URL was not provided in the transcript excerpts. This link is to the Business section on NPR.org where the article was likely published.

Link to NPR Business section

"The growing environmental impact of AI data centers’ energy demands" (Video transcript from PBS NewsHour YouTube channel).

Link to PBS NewsHour YouTube channel

"[2505.07635] Generating Skyline Explanations for Graph Neural Networks" (Preprint from arXiv).

Link via arXiv ID34

Disclaimer: NotebookLM can be inaccurate. Please double check for accuracy. Be mindful of the GIGO Principle – The output is only as good as its sources (or worse). 

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CyberGeoBy Geo Grobbelaar