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Decarbonizing Through Innovation: The Role of AI Investment in Reducing CO2 Emissions in the Top AI-Investing Economies

イノベーションによる脱炭素化：主要AI投資国におけるCO2排出削減へのAI投資の役割 (AI 翻訳)

Cemal Egemen, Derviş Kırıkkaleli

Sustainability📚 査読済 / ジャーナル2026-07-07#エネルギー転換Origin: Global経営インパクト: 資金調達対象セクター: cross_sector
DOI: 10.3390/su18136901
原典: https://doi.org/10.3390/su18136901
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🤖 gxceed AI 要約

日本語

本稿は、2012年から2022年までの主要AI投資8カ国を対象に、AI投資がCO2排出に与える影響を分析。Augmented Mean Group法を用いた結果、AI投資と貿易はCO2排出を抑制し、GDPは増加させることが明らかになった。AI投資が脱炭素化と持続可能な環境に貢献することを示唆している。

English

This study examines the impact of AI investment on CO2 emissions in eight leading AI-investing countries from 2012 to 2022. Using the Augmented Mean Group method, it finds that AI investment and trade reduce CO2 emissions, while GDP increases them. The findings suggest that AI investment contributes to decarbonization and a more sustainable environment.

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

日本は対象国に含まれないが、AI投資がCO2削減に有効という知見は、日本のGX戦略におけるAI活用促進の根拠となる。特に、SSBJや有報での気候関連開示において、AI投資の排出削減効果を定量的に示す際に参考になる。

In the global GX context

This paper provides cross-country evidence that AI investment can help decarbonize economies, supporting the role of innovation in climate policy. It adds to the literature on technology-driven emission reductions, relevant for ISSB/TCFD discussions on transition planning.

👥 読者別の含意

🔬研究者:Provides cross-country panel evidence on the decoupling of AI investment from CO2 emissions, useful for transition finance and climate policy modeling.

🏢実務担当者:Suggests that investing in AI can be part of a corporate decarbonization strategy, but at economy-wide level; firm-level validation needed.

🏛政策担当者:Indicates that promoting AI innovation can be a lever for national emissions reduction targets and should be considered in climate policy packages.

📄 Abstract（原文）

This research explores the effect of artificial intelligence (AI) investment on carbon dioxide (CO2) emissions relating to worldwide industrialization and environmental concerns. CO2 emissions have risen due to fossil fuel usage, leading to global warming, environmental degradation, and climate change. While most previous studies have concentrated on components such as economic progress, energy consumption, and technological improvement, little attention has been given to the impact of artificial intelligence on the levels of carbon dioxide emissions. Artificial intelligence technology enables systems to perform complicated duties including reasoning and decision making. This article intends to fill this research gap by examining the impact of AI on carbon emissions in the eight highest AI-investing countries (the USA, China, the United Kingdom, Israel, Germany, India, Canada, and Korea) from 2012 to 2022. OECD data on average trade, AI investment, and consumption-based CO2 emissions were analyzed in this study. The Augmented Mean Group (AMG) approach was employed to analyze the study findings, with the results showing that GDP had a beneficial influence on CO2 emissions in the Top AI-Investing Economies. The results also showed that AI investment and trade had adverse impacts on CO2 emissions. The findings supported the idea that investment on AI has a positive impact on decreasing CO2 emissions, thus leading to a more sustainable environment.

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