CONCEPTUAL ANALYSIS article

Front. Artif. Intell.

Sec. AI in Business

Volume 8 - 2025 | doi: 10.3389/frai.2025.1571698

This article is part of the Research TopicSustainability and Artificial Intelligence: Theories, Current Practices and Future ChallengesView all articles

Manuscript to be considered for the "Sustainability and Artificial Intelligence: Theories, Current Practices and Future Challenges" research topic -Frontiers in Sustainable Resource Management

Provisionally accepted
  • 1University of Chile, Santiago, Santiago Metropolitan Region (RM), Chile
  • 2University of Tarapacá, Arica, Chile

The final, formatted version of the article will be published soon.

The urgency of addressing climate change and achieving a just transition to sustainability has never been greater, as the world approaches critical environmental thresholds. While artificial intelligence (AI) presents both opportunities and challenges in this context, its role in organizational decisionmaking and expertise remains underexplored. This paper examines the interplay between AI and human expertise within organizations, focusing on how AI can complement or substitute traditional expertise across factual, temporal, and social dimensions. Drawing on Social Systems Theory, we argue that while AI excels in data processing and rapid decision-making, it falls short in contextual adaptation, long-term strategic thinking, and social legitimacy-areas where human expertise remains indispensable. And this is, we observe, particularly evident in problems connected with climate change and sustainability more broadly, where the tensions for organizational decision-making -and governance become even denser as much in the factual, temporal and social dimensions, making them into very complex, 'super-wicked', problem situations. Thus, there is a need to think more in detail about possible hybrid approaches, integrating AI's computational strengths with human interpretive and adaptive capabilities, which may offer promising pathways for advancing organizational decisionmaking in the overly complex, wicked decision-making scenarios characteristic of just transitions. However, this requires careful consideration of power dynamics, trust-building, and the ethical implications of AI adoption. By moving beyond techno-optimism, this study highlights the need for a nuanced understanding of AI's functional and social plausibility in organizational settings, offering insights for fostering equitable and sustainable transitions in an increasingly complex world.

Keywords: artificial intelligence, Expertise, decision-making, Just transitions, social systems theory Agrawal, A., Brandhorst, S.

Received: 06 Feb 2025; Accepted: 28 Apr 2025.

Copyright: © 2025 Billi and Labraña. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Julio Labraña, University of Tarapacá, Arica, Chile

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