mlsanityData to 7 Oct 2026

The Carbon Emissions of Writing and Illustrating Are Lower for AI than for Humans

arXiv 2303.06219 ↗First posted 8 Mar 2023cs.CY cs.AIcited by 10

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Abstract (arXiv)

As AI systems proliferate, their greenhouse gas emissions are an increasingly important concern for human societies. We analyze the emissions of several AI systems (ChatGPT, BLOOM, DALL-E2, Midjourney) relative to those of humans completing the same tasks. We find that an AI writing a page of text emits 130 to 1500 times less CO2e than a human doing so. Similarly, an AI creating an image emits 310 to 2900 times less. Emissions analysis do not account for social impacts such as professional displacement, legality, and rebound effects. In addition, AI is not a substitute for all human tasks. Nevertheless, at present, the use of AI holds the potential to carry out several major activities at much lower emission levels than can humans.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 3 of its 41 references that are in the map. First posted on arXiv 8 Mar 2023.

Builds on

3 of 41 references.

References · 3

  1. 2019Energy and Policy Considerations for Deep Learning in NLPcited by 1,242
  2. 2022Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Modelcited by 264
  3. 2022The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrinkcited by 183

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 5; 2025: 2; 2026: 1.

10 papers.