Long-run electricity consumption in computing: Exponential growth followed by stabilization due to efficiency gains

Published projections suggest that information and communication technologies could account for up to 20% of global electricity use by 2030, yet these estimates are often based on short (<5 years) historical periods. Here, we present the first global long-run (1975-2022) analysis that jointly estimates electricity consumption, processed information, and efficiency. We find that these increased by 4, 11, and 7 orders of magnitude, respectively. However, after an initial exponential growth, the share of computing devices in world electricity consumption peaked at 2.5% in 2013, then decreased and stabilized at 1.8% since 2018. The stabilisation was due to the massive increases in information processing being offset by efficiency gains associated with the growing amount of computation in large datacenters and the shift from desktop computers to laptops and, more recently, to smartphones. These results indicate that concerns about the future electricity demand of computing may be overstated.

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Publication Details

Journal
iScience
Published
2026-02-03
DOI
https://doi.org/10.1016/j.isci.2026.114876
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Long-run electricity consumption in computing: Exponential growth followed by stabilization due to efficiency gains

Paul E. Brockway, Tânia Sousa, Tiago Domingos
iScience
Parallel Computing and Optimization Techniques
article

Long-run electricity consumption in computing: Exponential growth followed by stabilization due to efficiency gains

Paul E. Brockway, Tânia Sousa, Tiago Domingos
article en

Abstract

Published projections suggest that information and communication technologies could account for up to 20% of global electricity use by 2030, yet these estimates are often based on short (<5 years) historical periods. Here, we present the first global long-run (1975-2022) analysis that jointly estimates electricity consumption, processed information, and efficiency. We find that these increased by 4, 11, and 7 orders of magnitude, respectively. However, after an initial exponential growth, the share of computing devices in world electricity consumption peaked at 2.5% in 2013, then decreased and stabilized at 1.8% since 2018. The stabilisation was due to the massive increases in information processing being offset by efficiency gains associated with the growing amount of computation in large datacenters and the shift from desktop computers to laptops and, more recently, to smartphones. These results indicate that concerns about the future electricity demand of computing may be overstated.

iScienceVol. 29(3)
University of Leeds (GB), Universidade Politécnica de Lisboa (PT), Sustainability Institute (ZA)
Leverhulme Trust, European Commission, Ministério da Ciência, Tecnologia e Ensino Superior, HORIZON EUROPE Framework Programme, Engineering and Physical Sciences Research Council, Fundação para a Ciência e a Tecnologia
Affordable and clean energy
Openalex Percentile: Top 79%
Parallel Computing and Optimization Techniques
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