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Research Summary: Generalized green and red concepts for artificial intelligence, big data, and information and communication technologies: Multidimensional framework and countermeasures
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 26 October 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A research study introduces Generalized Green AI (GGAI) and Generalized Red AI (GRAI) frameworks to capture the expanding environmental footprint of artificial intelligence, big data, and ICT. Highlighting that U.S. data center electricity consumption could reach up to 12 percent by 2028 and AI water demand could hit 6 billion cubic meters annually by 2027, the authors argue current green AI discussions overlook broader lifecycle, water, and material externalities. Note that the source text provided is an incomplete abstract.
Why it matters
The rapid expansion of computing infrastructure is shifting AI governance from simple carbon management to complex, multi-resource ecological risk management. As electricity grids and local water tables face measurable strain from data operations, technological scaling faces hard physical constraints. Developing comprehensive frameworks to account for these trade-offs is critical to sustaining long-term digital transformation and avoiding systemic resource bottlenecks.
Key insights
- U.S. data center electricity consumption is projected to surge from 4.4 percent in 2023 to between 6.7 percent and 12 percent by 2028.
- Artificial intelligence-related water consumption is estimated to reach 4 to 6 billion cubic meters annually by 2027.
- Existing green and red AI frameworks focus primarily on compute efficiency and carbon metrics, underrepresenting lifecycle trade-offs and wider resource externalities.
- The authors advance Generalized Green AI (GGAI) and Generalized Red AI (GRAI) concepts as multidimensional frameworks to incorporate water, material, and service-versus-use dimensions.
Source
arXiv — Computers and Society — https://arxiv.org/abs/2610.31739
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- Verification ID
- ASA-EXE-2026-01389
- Version
- v1.0 · r0
- Issued
- 26 October 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Generalized green and red concepts for artificial intelligence, big data, and information and communication technologies: Multidimensional framework and countermeasures
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
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- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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