THE COMPUTATIONAL PARADIGM OF SUSTAINABILITY: ARTIFICIAL INTELLIGENCE AS THE ARCHITECT OF A CARBON-NEUTRAL GLOBAL ECONOMY
持続可能性の計算パラダイム：カーボンニュートラルな世界経済の設計者としての人工知能 (AI 翻訳)
Vijay Kumar
🤖 gxceed AI 要約
日本語
本稿は、AIによる資源効率最適化やグリーン経済への移行促進と、AI自体のエネルギー・資源消費拡大というパラドックスを論じる。グリーンAI運動が示す、生の性能指標よりエネルギー効率的アルゴリズムを優先するパラダイムシフトを分析し、技術革新と生態学的限界の調和を提唱する。
English
This paper examines the dual role of AI in sustainability: as an enabler of resource efficiency and green transition, and as a consumer of energy and resources. It discusses the Green AI movement prioritizing energy-efficient algorithms over raw performance, and calls for aligning technological innovation with ecological boundaries.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本はGX推進とAI戦略を並行して進めており、省エネAIやグリーンデータセンターは政策連動が期待される分野。本稿の提起するAIの物的代謝問題は、日本の半導体・データセンター戦略に示唆を与える。
In the global GX context
Globally, the tension between AI-driven decarbonization and AI's own environmental footprint is a key topic for TCFD/ISSB disclosure and transition finance. The paper contributes to the growing discourse on sustainable AI infrastructure, relevant for data center operators and policymakers.
👥 読者別の含意
🔬研究者:Provides a conceptual framework for the AI-GX paradox and Green AI, useful for positioning further empirical work.
🏢実務担当者:Highlights strategic risks and opportunities for companies deploying AI, especially regarding data center sustainability.
🏛政策担当者:Insights on balancing AI deployment with environmental targets, relevant for national GX and AI strategies.
📄 Abstract（原文）
The global economic landscape is undergoing a simultaneous dual transformation defined by the rapid proliferation of artificial intelligence (AI) and the urgent necessity of a transition to a green, circular economy. This convergence represents a profound paradox: while AI serves as the primary engine for optimizing resource efficiency, accelerating the discovery of sustainable materials, and managing the complexities of decentralized renewable energy grids, its own physical existence demands an unprecedented expansion of energy consumption, freshwater use, and mineral extraction. The tension between the "digital brain" and its "physical metabolism" defines the contemporary challenge for policymakers and industry leaders alike. As computational workloads shift toward dense generative models, the environmental footprint of data centers has moved from a peripheral concern to a central strategic risk. The emergence of the Green AI movement—which prioritizes energy-efficient algorithms and responsible computing over raw performance metrics—signals a paradigm shift where technological innovation is no longer decoupled from ecological boundaries.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20326855first seen 2026-06-10 04:48:55
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