Harnessing AI for Climate Action: Opportunities, Challenges, and Pathways to Sustainable Futures

Kolawole Anthony Fayemi

Journal of Sustainable Development, 2025, vol. 18, issue 6, 107

Abstract: Climate change poses a pressing 21st-century challenge, demanding urgent strategies for mitigation and adaptation. Artificial intelligence (AI) emerges as a transformative tool, influencing environmental policy and practices across sectors. With its growing capabilities, AI enables analysis of large datasets, predicts climate patterns, optimizes energy use, and enhances resource management, in a way that promotes informed decision-making for climate solutions. Mitigation strategies benefit significantly from AI, with machine learning improving energy efficiency, optimizing supply chains, and forecasting energy demands to reduce greenhouse gas emissions. AI-driven modeling also evaluates carbon capture, reforestation, as well as renewable energy projects and provides data-driven insights into their scalability and impact. For adaptation, AI supports predictive analytics for urban planning, agriculture, and disaster management, addressing shifting climate conditions and socio-economic factors. For instance, AI forecasts extreme weather, enabling proactive risk reduction, while precision agriculture adapts crop varieties to changing climates, strengthening food security. However, integrating AI into climate action faces challenges, including the need for high-quality datasets, often scarce in developing regions, and the risks of algorithmic bias, which can perpetuate inequalities. The energy demands of AI technologies, such as hyperscale data centers, also raise environmental concerns, complicating its role as a sustainable solution. These issues highlight the need for responsible implementation. Despite these hurdles, AI’s potential to drive progress in climate strategies is immense when applied ethically. Interdisciplinary collaborations combining AI, environmental science, and policy expertise can deliver innovative, context-specific solutions. As stakeholders tackle climate demands, AI’s ability to revolutionize sustainability is undeniable, provided it is deployed conscientiously to ensure equitable and effective climate action.

Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ccsenet.org/journal/index.php/jsd/article/download/0/0/52348/57008 (application/pdf)
https://ccsenet.org/journal/index.php/jsd/article/view/0/52348 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ibn:jsd123:v:18:y:2025:i:6:p:107

Access Statistics for this article

More articles in Journal of Sustainable Development from Canadian Center of Science and Education Contact information at EDIRC.
Bibliographic data for series maintained by Canadian Center of Science and Education ().