Recalibrating global artificial intelligence e-waste estimates
• By 2030, AI servers could generate 131.0–224.8 kilotons of e-waste per year. • AI systems may contribute less to global e-waste than previously anticipated. • The gap highlights the need for supply-chain data and realistic AI server lifespans. • 2030 AI e-waste could still match Denmark, Norway, or Austria’s 2022 e-waste. • Substantial AI e-waste persists, underscoring the need for data center transparency.
Authors
- Alex de Vries-Gao
Institutions
- Flevoziekenhuis (NL)
- Vrije Universiteit Amsterdam (NL)
- De Nederlandsche Bank (NL)
Publication Details
- Journal
- Resources Conservation and Recycling
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1016/j.resconrec.2026.108872
- Primary Topic
- Recycling and Waste Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00