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.
Authors
- Paul E. Brockway (ORCID: https://orcid.org/0000-0001-6925-8040)
- Tânia Sousa
- Tiago Domingos
Institutions
- University of Leeds (GB)
- Universidade Politécnica de Lisboa (PT)
- Sustainability Institute (ZA)
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
Funders
- 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