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Lookup NU author(s): Isma Sadaf
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This research paper examines the impact of artificial intelligence (AI) on carbon dioxide (CO2) emissions in developing countries, addressing a significant gap in existing literature. While prior studies have predominantly focused on AI's influence on CO2 emissions in developed nations, this paper investigates its applicability and effectiveness within the unique socio-economic and environmental contexts of developing countries. Using empirical modeling techniques Generalized Method of Moments (GMM), we analyze data spanning from 1990 to 2019 and find that the increasing use of industrial robots is associated with a reduction in carbon intensity. Our findings underscore the potential of AI and technological innovation in mitigating CO2 emissions, particularly in sectors with high carbon footprints. Policymakers are urged to prioritize incentivizing AI adoption and supporting research and development initiatives to accelerate the transition to a low-carbon economy. However, future considerations regarding data infrastructure, socioeconomic disparities, environmental impacts, and ethical concerns are crucial for ensuring equitable and sustainable implementation of AI-driven solutions
Author(s): Sadaf I, Gul P
Publication type: Article
Publication status: In Press
Journal: Environment, Development and Sustainability
Year: 2025
Acceptance date: 16/04/2025
ISSN (print): 1387-585X
ISSN (electronic): 1573-2975
Publisher: Springer Dordrecht
