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As the climate crisis deepens, artificial intelligence (AI) has emerged as a contested force: some champion its potential to advance renewable energy, materials discovery, and large-scale emissions monitoring, while others underscore its growing carbon footprint, water consumption, and material resource demands.
Methods of traffic limitation in urban areas
JW Thomson. 1972 · 1972
Earlier work this paper cites.
Technological progress and sustainable development: what about the rebound effect?
Mathias Binswanger. 2001 · 2001
Earlier work this paper cites.
Rebound effects of progress in information technology
Lorenz M Hilty, Andreas Köhler, Fabian Von Schéele, Rainer Zah, and Thomas Ruddy. 2006 · 2006
Earlier work this paper cites.
The Rebound Effect: an assessment of the evidence for economy-wide energy savings from improved energy efficiency
Steve Sorrell et al · 2007
Earlier work this paper cites.
First workshop on targeting and ranking for online advertising. In Proceedings of the 17th international conference on World Wide Web . 1269–1270
Ewa Dominowska and Vanja Josifovski. 2008 · 2008
Earlier work this paper cites.
The rebound effect: Microeconomic definitions, limitations and extensions
Steve Sorrell and John Dimitropoulos. 2008 · 2008
Earlier work this paper cites.
Factor modeling for advertisement targeting
Ye Chen, Michael Kapralov, John Canny, and Dmitry Pavlov. 2009 · 2009
Earlier work this paper cites.
E-waste: an assessment of global production and environmental impacts
Brett H Robinson. 2009 · 2009
Earlier work this paper cites.
Theoretical foundations of the rebound effect
Harry Saunders. 2009 · 2009
Earlier work this paper cites.
Books vs. eBooks – A life cycle comparison
Joy Scrogum. 2009 · 2009
Earlier work this paper cites.
Jevons’ Paradox revisited: The evidence for backfire from improved energy efficiency
Steve Sorrell. 2009 · 2009
Earlier work this paper cites.
Environmental life cycle assessment of goods and services: an input-output approach
Chris T Hendrickson, Lester B Lave, and H Scott Matthews. 2010 · 2010
Earlier work this paper cites.
Consumption-as-usual instead of ceteris paribus assumption for demand: Integration of potential rebound effects into LCA
Bastien Girod, Peter de Haan, and Roland W Scholz. 2011 · 2011
Earlier work this paper cites.
Predicting solar generation from weather forecasts using machine learning. In 2011 IEEE international conference on smart grid communications (SmartGridComm) . IEEE, 528–533
Navin Sharma, Pranshu Sharma, David Irwin, and Prashant Shenoy. 2011 · 2011
Earlier work this paper cites.
Environmental impacts of e-commerce. In International conference on environment Science and engineering , Vol. 8. 202–207
Sunita Tiwari and Pratibha Singh. 2011 · 2011
Earlier work this paper cites.
Environmental effects of information and communications technologies
Eric Williams. 2011 · 2011
Earlier work this paper cites.
Kindle vs. Printed book an environmental analysis
Dealva Jade Dowd-Hinkle. 2012 · 2012
Earlier work this paper cites.
Sustainable marketing and social media: A cross-country analysis of motives for sustainable behaviors
Elizabeth Minton, Christopher Lee, Ulrich Orth, Chung-Hyun Kim, and Lynn Kahle. 2012 · 2012
Earlier work this paper cites.
Is the rebound effect or Jevons paradox a useful concept for better management of water resources? Insights from the irrigation modernisation process in Spain
Aurélien Dumont, Beatriz Mayor, and Elena López-Gunn. 2013 · 2013
Earlier work this paper cites.
Understanding the effectiveness of environmental offset policies
Robert Hahn and Kenneth Richards. 2013 · 2013
Earlier work this paper cites.
How Retailers Can Keep Up with Consumers
Ian MacKenzie. 2013 · 2013
Earlier work this paper cites.
Including second order effects in environmental assessments of ICT
Miriam Börjesson Rivera, Cecilia Håkansson, Åsa Svenfelt, and Göran Finnveden. 2014 · 2014
Earlier work this paper cites.
Energy efficiency policies and the Jevons paradox
Jaume Freire-González and Ignasi Puig-Ventosa. 2015 · 2015
Earlier work this paper cites.
Rebound effects and ICT: a review of the literature
Cédric Gossart. 2015 · 2015
Earlier work this paper cites.
Data flows and water woes: The Utah Data Center
Mél Hogan. 2015 · 2015
Earlier work this paper cites.
The water footprint of data centers
Bora Ristic, Kaveh Madani, and Zen Makuch. 2015 · 2015
Earlier work this paper cites.
Analyzing the data center efficiency by using PUE to make data centers more energy efficient by reducing the electrical consumption and exploring new strategies
Madhu Sharma, Kartik Arunachalam, and Dharani Sharma. 2015 · 2015
Earlier work this paper cites.
Integrating social science in energy research
Benjamin K Sovacool, Sarah E Ryan, Paul C Stern, Katy Janda, Gene Rochlin, Daniel Spreng, Martin J Pasqualetti, Harold Wilhite, and Loren Lutzenhiser. 2015 · 2015
Earlier work this paper cites.
Transforming our world : the 2030 Agenda for Sustainable Development
UN General Assembly. 2015 · 2015
Earlier work this paper cites.
Computational experiment approach to controlled evolution of procurement pattern in cluster supply chain
Xiao Xue, Shufang Wang, and Baoyun Lu. 2015 · 2015
Earlier work this paper cites.
Work less, do less? Working time reductions and rebound effects
Johannes Buhl and José Acosta. 2016 · 2016
Earlier work this paper cites.
Analysing the impact of ENERGY STAR rebate policies in the US
Souvik Datta and Massimo Filippini. 2016 · 2016
Earlier work this paper cites.
DeepMind AI Reduces Google Data Centre Cooling Bill by 40%
Richard Evans and Jim Gao. 2016 · 2016
Earlier work this paper cites.
Known unknowns: indirect energy effects of information and communication technology
Nathaniel C Horner, Arman Shehabi, and Inês L Azevedo. 2016 · 2016
Earlier work this paper cites.
Additionality and reverse crowding out for pollution offsets in water quality trading
Richard T Woodward, David A Newburn, and Mariano Mezzatesta. 2016 · 2016
Earlier work this paper cites.
“Green Marketing”: An analysis of definitions, strategy steps, and tools through a systematic review of the literature
Rosa Maria Dangelico and Daniele Vocalelli. 2017 · 2017
Earlier work this paper cites.
Deep learning scaling is predictable, empirically
Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory Diamos, Heewoo Jun, Hassan Kianinejad, Md Mostofa Ali Patwary, Yang Yang, and Yanqi Zhou. 2017 · 2017
Earlier work this paper cites.
In-datacenter performance analysis of a tensor processing unit. In Proceedings of the 44th annual international symposium on computer architecture . 1–12
Norman P Jouppi, Cliff Young, Nishant Patil, David Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, et al · 2017
Earlier work this paper cites.
Barriers to achieving additionality in carbon offsets: a regulatory risk perspective
Jessica Campbell, Irene M Herremans, and Anne Kleffner. 2018 · 2018
Earlier work this paper cites.
Unraveling the complexity of the Jevons Paradox: The link between innovation, efficiency, and sustainability
Mario Giampietro and Kozo Mayumi. 2018 · 2018
Earlier work this paper cites.
Nuclear energy: Between global electricity demand, worldwide decarbonisation imperativeness, and planetary environmental implications
Remus Prăvălie and Georgeta Bandoc. 2018 · 2018
Earlier work this paper cites.
Farming within limits
Lindsay Barbieri, Sonya Ahamed, and Sam Bliss. 2019 · 2019
Earlier work this paper cites.
Reassessing the projections of the world water development report
Alberto Boretti and Lorenzo Rosa. 2019 · 2019
Earlier work this paper cites.
Dissecting the graphcore ipu architecture via microbenchmarking
Zhe Jia, Blake Tillman, Marco Maggioni, and Daniele Paolo Scarpazza. 2019 · 2019
Earlier work this paper cites.
Quantifying the carbon emissions of machine learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres. 2019 · 2019
Earlier work this paper cites.
Energy and Policy Considerations for Deep Learning in NLP. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , Anna Korhonen, David Traum, and Lluís Màrquez (Eds.). Association for Computational Linguistics, Florence, Italy, 3645–3650
Emma Strubell, Ananya Ganesh, and Andrew McCallum. 2019 · 2019
Earlier work this paper cites.
The bitter lesson
Richard Sutton. 2019 · 2019
Cited alongside, same era.
Identifying machine learning techniques for classification of target advertising
Jin-A Choi and Kiho Lim. 2020 · 2020
Cited alongside, same era.
A methodology for assessing the environmental effects induced by ict services: Part i: Single services. In Proceedings of the 7th International Conference on ICT for Sustainability . 36–45
Vlad C Coroamă, Pernilla Bergmark, Mattias Höjer, and Jens Malmodin. 2020 · 2020
Cited alongside, same era.
Skill rebound: On an unintended effect of digitalization. In Proceedings of the 7th International Conference on ICT for Sustainability . 213–219
Vlad C Coroamă and Daniel Pargman. 2020 · 2020
Cited alongside, same era.
Oil in the Cloud: How Tech Companies are Helping Big Oil Profit from Climate Destructions
GreenPeace. 2020 · 2020
Cited alongside, same era.
GPTs are GPTs: An early look at the labor market impact potential of large language models
Tyna Eloundou, Sam Manning, Pamela Mishkin, and Daniel Rock. 2023 · 2023
Later among the works it cites.
Perspectives: Advertising and climate change–Part of the problem or part of the solution?
Patrick Hartmann, Aitor Marcos, Juana Castro, and Vanessa Apaolaza. 2023 · 2023
Later among the works it cites.
Technology and jobs: A systematic literature review
Kerstin Hötte, Melline Somers, and Angelos Theodorakopoulos. 2023 · 2023
Later among the works it cites.
Data Centres and Data Transmission Networks
International Energy Authority. 2023 · 2023
Later among the works it cites.
Making AI Less" Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
Pengfei Li, Jianyi Yang, Mohammad A Islam, and Shaolei Ren. 2023 · 2023
Later among the works it cites.
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Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2020
Cited alongside, same era.
Recalibrating global data center energy-use estimates
Eric Masanet, Arman Shehabi, Nuoa Lei, Sarah Smith, and Jonathan Koomey. 2020a · 2020
Cited alongside, same era.
Recalibrating global data center energy-use estimates
Eric Masanet, Arman Shehabi, Nuoa Lei, Sarah Smith, and Jonathan Koomey. 2020b · 2020
Cited alongside, same era.
The environmental price of fast fashion
Kirsi Niinimäki, Greg Peters, Helena Dahlbo, Patsy Perry, Timo Rissanen, and Alison Gwilt. 2020 · 2020
Cited alongside, same era.
Digitalization and the Decoupling Debate: Can ICT Help to Reduce Environmental Impacts While the Economy Keeps Growing?
Tilman Santarius, Johanna Pohl, and Steffen Lange. 2020 · 2020
Cited alongside, same era.
How large is the economy-wide rebound effect?
David I Stern. 2020 · 2020
Cited alongside, same era.
Microsoft’s ambitious climate goal forgets about its oil contracts
Maddie Stone. 2020 · 2020
Cited alongside, same era.
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Alexandra Sasha Luccioni, Yacine Jernite, and Emma Strubell. 2023 · 2023
Later among the works it cites.
Scaling deep learning for materials discovery
Amil Merchant, Simon Batzner, Samuel S Schoenholz, Muratahan Aykol, Gowoon Cheon, and Ekin Dogus Cubuk. 2023 · 2023
Later among the works it cites.
Emissions Measurement in Supply Chains: Business Realities and Challenges
OECD. 2023 · 2023
Later among the works it cites.
Energy transition minerals and their intersection with land-connected peoples
John R Owen, Deanna Kemp, Alex M Lechner, Jill Harris, Ruilian Zhang, and Éléonore Lèbre. 2023 · 2023
Later among the works it cites.
Cache & distil: Optimising API calls to large language models
Guillem Ramírez, Matthias Lindemann, Alexandra Birch, and Ivan Titov. 2023 · 2023
Later among the works it cites.
Automated detection and monitoring of methane super-emitters using satellite data
Berend J Schuit, Joannes D Maasakkers, Pieter Bijl, Gourav Mahapatra, Anne-Wil Van den Berg, Sudhanshu Pandey, Alba Lorente, Tobias Borsdorff, Sander Houweling, Daniel J Varon, et al · 2023
Later among the works it cites.
Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study
Agam Shah. 2024 · 2023
Later among the works it cites.
Supply and demand for multitenant data center (MTDC) square footage worldwide from 2013 to 2023
Statista. 2023 · 2023
Later among the works it cites.
The Era of Flat Power Demand is Over
John D Wilson and Zach Zimmerman. 2023 · 2023
Later among the works it cites.
The Intelligence Age
Sam Altman. 2024 · 2024
Later among the works it cites.
Apple Intelligence is available today on iPhone, iPad, and Mac
Apple. 2024 · 2024
Later among the works it cites.
The global e-waste monitor 2024
Cornelis P Baldé, Vanessa Forti, Vanessa Gray, Ruediger Kuehr, Paul Stegmann, et al · 2024
Later among the works it cites.
Rethinking Concerns About AI’s Energy Use
Daniel Castro. 2024 · 2024
Later among the works it cites.
Why Microsoft made a deal to help restart Three Mile Island
Casey Crownhart. 2024 · 2024
Later among the works it cites.
Check Writing Tools using AIR
Eclectic Light. 2024 · 2024
Later among the works it cites.
Rebound Effects Caused by Artificial Intelligence and Automation in Private Life and Industry
Wolfgang Ertel and Christopher Bonenberger. 2024 · 2024
Later among the works it cites.
Google Environmental Report 2024
Google. 2024 · 2024
Later among the works it cites.
Environmental Burden of United States Data Centers in the Artificial Intelligence Era
Gianluca Guidi, Francesca Dominici, Jonathan Gilmour, Kevin Butler, Eric Bell, Scott Delaney, and Falco J Bargagli-Stoffi. 2024 · 2024
Later among the works it cites.
World Energy Outlook 2024
International Energy Authority. 2024 · 2024
Later among the works it cites.
Sami Jaghouar, Jack Min Ong, Manveer Basra, Fares Obeid, Jannik Straube, Michael Keiblinger, Elie Bakouch, Lucas Atkins, Maziyar Panahi, Charles Goddard, et al · 2024
Later among the works it cites.
Light bulbs have energy ratings—so why can’t AI chatbots?
Sasha Luccioni, Boris Gamazaychikov, Sara Hooker, Régis Pierrard, Emma Strubell, Yacine Jernite, and Carole-Jean Wu. 2024 · 2024
Later among the works it cites.
Will AI accelerate or delay the race to net-zero emissions?
Amy Luers, Jonathan Koomey, Eric Masanet, Owen Gaffney, Felix Creutzig, Juan Lavista Ferres, and Eric Horvitz. 2024 · 2024
Later among the works it cites.
Microsoft Environmental Report 2024
Microsoft. 2024 · 2024
Later among the works it cites.
Power Efficiency
NVIDIA. 2024 · 2024
Later among the works it cites.
Global Digital Advertising Revenues – A Look at the Big Three: Alphabet (GOOGL), Meta Platforms (META), Amazon.com (AMZN)
Otto, Melissa. 2024 · 2024
Later among the works it cites.
The “energy rebound effect” within the framework of environmental sustainability
Tufan Özsoy. 2024 · 2024
Later among the works it cites.
Data center emissions probably 662% higher than big tech claims. Can it keep up the ruse?
Isabel O’Brien. 2024 · 2024
Later among the works it cites.
From ADversity to ADvantage
PlanetTracker. 2024 · 2024
Later among the works it cites.
Digital degrowth: Toward radically sustainable education technology
Neil Selwyn. 2024 · 2024
Later among the works it cites.
2024 United States Data Center Energy Usage Report
Arman Shehabi, Sarah J. Smith, Alex Hubbard, Alex Newkirk, Nuoa Lei, Md Abu Bakar Siddik, Billie Holecek, Jonathan Koomey, Eric Masanet, and Dale Sartor. 2024 · 2024
Later among the works it cites.
Microsoft employees spent years fighting the tech giant’s oil ties. Now, they’re speaking out
Maddie Stone. 2024 · 2024
Later among the works it cites.
New nuclear clean energy agreement with Kairos Power
Michael Terrell. 2024 · 2024
Later among the works it cites.
The carbon emissions of writing and illustrating are lower for AI than for humans
Bill Tomlinson, Rebecca W Black, Donald J Patterson, and Andrew W Torrance. 2024 · 2024
Later among the works it cites.
Amid the A.I. Boom, These States Have Become Data Center Hubs
Alexandra Tremayne-Pengelly. 2024 · 2024
Later among the works it cites.
E-waste challenges of generative artificial intelligence
Peng Wang, Ling-Yu Zhang, Asaf Tzachor, and Wei-Qiang Chen. 2024 · 2024
Later among the works it cites.
Towards Optimal Caching and Model Selection for Large Model Inference
Banghua Zhu, Ying Sheng, Lianmin Zheng, Clark Barrett, Michael Jordan, and Jiantao Jiao. 2024 · 2024
Later among the works it cites.
Testing the Limits of the World’s Largest Control Task: Solar Geoengineering as a Deep Reinforcement Learning Problem
Eshaan Agrawal and Christian Schroeder de Witt. 2025 · 2025
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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI, Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jiawei Wang, Jingchang Chen, Jingyang Yuan, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Shengfeng Ye, Tao Yun, Tian Pei, Tianyu Sun, T. Wang, Wangding Zeng, Wanjia Zhao, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanhong Xu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, and Zhen Zhang. 2025 · 2025
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A generative model for inorganic materials design
Claudio Zeni, Robert Pinsler, Daniel Zügner, Andrew Fowler, Xiang Fu Matthew Horton, Zilong Wang, Aliaksandra Shysheya, Jonathan Crabbé, Shoko Ueda, Roberto Sordillo, Lixin Sun, Jake Smith, Bichlien Nguyen, Hannes Schulz, Sarah Lewis, Chin-Wei Huang, Ziheng Lu, Yichi Zhou, Han Yang, Hongxia Hao, Jielan Li, Chunlei Yang, Wenjie Li, Ryota Tomioka, and Tian Xie. 2025 · 2025
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Market value of artificial intelligence (AI) in marketing worldwide from 2020 to 2028
Statista. 2024 · 2028
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Digital transformation—life cycle assessment of digital services, multifunctional devices and cloud computing
René Itten, Roland Hischier, Anders SG Andrae, Jan CT Bieser, Livia Cabernard, Annemarie Falke, Hugues Ferreboeuf, Lorenz M Hilty, Regula L Keller, Etienne Lees-Perasso, et al · 2098
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