This research addresses the role of artificial intelligence (AI) in supporting sustainable development efforts by enhancing the productivity of economic sectors. Amid the rapid transformations occurring in the contemporary world, AI has emerged as one of the leading technological tools contributing to increasing economic efficiency, optimizing resource utilization, and achieving environmental balance. The study focuses on the potential of AI and its practical applications in several vital sectors, particularly agriculture, industry, and services, highlighting how these technologies can be leveraged to improve production performance and enhance decision-making efficacy. Additionally, the research reviews the theoretical frameworks related to AI, including the definition of the concept, its historical development, and an overview of its most prominent applications within the economic context. The content of the study is directly aligned with the Sustainable Development Goals (SDGs) set by the United Nations, especially those pertaining to innovation, inclusive growth, and sustainable economic development. The research also discusses the key challenges associated with integrating AI technologies into various sectors, such as the high costs of adoption, ethical concerns, and the growing fears of job displacement in traditional roles. Drawing on the analysis of several applied studies and real-world models, the research highlights the tangible economic, environmental, and social benefits AI can contribute to. Furthermore, the study offers a set of recommendations aimed at fostering a conducive legislative and investment environment for the adoption of AI technologies, thereby facilitating the transition toward a more sustainable and innovative economy. Consequently, this research seeks to underscore AI as a strategic tool for enhancing the productivity of economic sectors and achieving sustainable development across its various dimensions, within an integrated framework that balances the demands of economic growth with environmental and social considerations.
Lafta et al. (Tue,) studied this question.
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