Artificial intelligence and the environment: ethical challenges and strategic opportunities for organizations

Marco Marabelli*, Robert M. Davison

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

3 Citations (Scopus)

Abstract

In this viewpoint article, our goal is to raise awareness and spark debate in the Information Systems (IS) community regarding a prominent concern that has important strategic and ethical implications: the environmental impact of the increasing use of generative artificial intelligence (GAI). We examine several specific issues, beginning with GAI’s heavy consumption of natural resources and electricity. We then move to assessing how the rich and the Global North gain via GAI, while the poor and the Global South must deal with its adverse effects. We then move to assessing GAI’s impact on underrepresented communities and countries in the Global South; while GAI contributes to global warming, this affects people unevenly, because it is mostly rich people and the Global North that make intensive use of these technologies. After suggesting that more local and global laws are needed to regulate the sustainable use of AI, we report on how organizations can perform AI strategizing, for instance to control emissions in smart cities and improve weather forecasting. We conclude with a research agenda that aims to encourage IS scholars to focus on the environmental impact of AI, its ethical implications for organizations, and how GAI can be used strategically to benefit all.

© 2025 Elsevier B.V.
Original languageEnglish
Article number101921
Number of pages14
JournalThe Journal of Strategic Information Systems
Volume34
Issue number3
Online published4 Jul 2025
DOIs
Publication statusPublished - Sept 2025

Research Keywords

  • Artificial intelligence
  • GAI and AI strategizing
  • Global warming
  • Climate changes
  • Ethics
  • Global South
  • Social justice

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2025. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.

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