The Carbon Emissions of Writing and Illustrating Are Lower for AI than for Humans
Not on the map. Why?
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
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Citing papers per year: 2023: 2; 2024: 5; 2025: 2; 2026: 1.
10 papers.
- 2023Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Modelscited by 44
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Reviewcited by 19
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligencecited by 13
- 2024Integrating ESG and AI: A Comprehensive Responsible AI Assessment Frameworkcited by 2
- 2024A Water Efficiency Dataset for African Data Centerscited by 1
- 2025Exploring Anthropomorphism in Conversational Agents for Environmental Sustainabilitycited by 1
- 2024FernUni LLM Experimental Infrastructure (FLEXI) -- Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Modelscited by 0
- 2024Illustrating Classic Brazilian Books using a Text-To-Image Diffusion Modelcited by 0
- 2025Toward Agentic Environments: GenAI and the Convergence of AI, Sustainability, and Human-Centric Spacescited by 0
- 2026DumpsterCluster: From Dumpster Diving to Serving LLaMA-70B on 60 GPUscited by 0
- 2026DumpsterCluster: From Dumpster Diving to Serving LLaMA-70B on 60 GPUs10 Jul 2026
- 2025Toward Agentic Environments: GenAI and the Convergence of AI, Sustainability, and Human-Centric Spaces15 Dec 2025
- 2025Exploring Anthropomorphism in Conversational Agents for Environmental Sustainability11 May 2025
- 2024A Water Efficiency Dataset for African Data Centers4 Dec 2024
- 2024Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework2 Aug 2024
- 2024Illustrating Classic Brazilian Books using a Text-To-Image Diffusion Model1 Aug 2024
- 2024FernUni LLM Experimental Infrastructure (FLEXI) -- Enabling Experimentation and Innovation in Higher Education Through Access to Open Large Language Models27 Jun 2024
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Review13 Feb 2024
- 2023Machine-assisted quantitizing designs: augmenting humanities and social sciences with artificial intelligence24 Sep 2023
- 2023Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models6 Apr 2023