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Public perceptions of AI energy consumption: Awareness, responsibility attribution, and strategies
- Truvace record
- TRV-2026-2701raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Survey
- Sources
- 1 sourcePeer-reviewed
- sha256
- 935550d5ed98…check it
Abstract Generative artificial intelligence (GenAI) is widely used in the gig economy and electronic markets. However, its progress incurs substantial environmental costs due to its high and constantly increasing energy consumption. As inference—the process by which GenAI generates output—accounts for a large part of this demand, individual usage patterns are becoming a key factor in understanding the overall energy footprint and a crucial prerequisite for developing effective educational strategies and policies…
The problem
In a survey of 1,080 US adults, respondents gave users 22.18 of 100 responsibility points for generative AI's energy use versus 38.82 for household appliances, and only 5.7% of suggested fixes involved optimizing how AI is used.
What this doesn’t fix
Responses come from a Prolific crowdsourced panel, and the strategies people proposed were not tested for their real effect on energy use.
Sources
1 on file- Electronic Marketsdoi:10.1007/s12525-026-00908-w
Cite this record
v1Truvace Impact Record TRV-2026-2701, v1: “Public perceptions of AI energy consumption: Awareness, responsibility attribution, and strategies.” Truvace, 2026-11-12. /record/TRV-2026-2701 (accessed on the day you copy it). sha256 935550d5ed98fbf5…
Change history
1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
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