Evaluating the Role of Artificial Intelligence Technologies in Achieving a Balance between Economic Growth and Environmental Preservation in Libya: An Analytical Theoretical Study

Abstract

This study aims to provide an in-depth theoretical analysis of the role of artificial intelligence (AI) technologies in achieving a balance between economic growth and environmental preservation in Libya. Adopting an analytical theoretical methodology, the study examines the interaction between environmental and economic dimensions within the context of technological transformation, focusing on the nexus between technological innovation and sustainability in Libya’s resource-dependent economy. The research employs a descriptive-analytical approach, utilizing deductive methods to review global literature and a SWOT analysis to assess Libya’s specific context. The theoretical framework explores key mechanisms through which AI can contribute to this balance, including dynamic optimization, proactive prediction, and systemic integration. The study also addresses the challenges related to institutional compatibility, capacity building, and governance that are critical for successful implementation in the Libyan context. Concluding, this study offers a theoretical framework for analyzing the role of AI technologies in balancing economic growth and environmental preservation in Libya. It does not aim to provide definitive answers, but rather to present an analytical framework that can be built upon in future research and practical applications.