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Estimating the Increase in Emissions caused by AI-augmented Search

arXiv 2407.16894 ↗First posted 17 Jun 2024cs.CY cs.AIcited by 1

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Abstract (arXiv)

AI-generated answers to conventional search queries dramatically increase the energy consumption. By our estimates, energy demand increase by 60-70 times. This is a based on an updated estimate of energy consumption for conventional search and recent work on the energy demand of queries to the BLOOM model, a 176B parameter model, and OpenAI's GPT-3, which is of similar complexity.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 10 references that are in the map. First posted on arXiv 17 Jun 2024.

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1 of 10 references.

References · 1

  1. 2022Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Modelcited by 265

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  1. 2025Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramidcited by 0