ABSTRACT :

Artificial Intelligence (AI) is increasingly shaping the structure and performance of modern economies, influencing how resources are allocated, how productivity is enhanced, and how long-term economic growth can be achieved in a sustainable manner. As governments, businesses, and financial systems adopt AI-driven technologies, understanding their broader economic impact has become essential. This study examines the impact of artificial intelligence on sustainable economic growth, with a particular focus on productivity enhancement, innovation dynamics, financial system efficiency, labor market outcomes, and environmental sustainability. The paper adopts a multidisciplinary perspective, integrating insights from economics, technology studies, finance, and public policy. It explores how AI contributes to economic growth by improving decision-making processes, automating routine tasks, reducing information inefficiencies, and enabling data-driven optimization across sectors such as manufacturing, services, finance, energy, and public administration. AI-driven systems enhance productivity by increasing operational efficiency, supporting innovation, and enabling firms to scale more effectively. These gains, when combined with appropriate institutional and policy support, can translate into sustained economic expansion rather than short-term growth spikes. Beyond productivity, the study highlights the role of AI in promoting sustainable economic outcomes. AI applications in energy management, supply-chain optimization, environmental monitoring, and green finance contribute to more efficient resource use and reduced environmental impact. At the same time, the paper recognizes that AI-driven growth is not automatically inclusive or sustainable. Challenges such as labor market displacement, skill polarization, data governance concerns, ethical risks, and unequal access to digital infrastructure may limit the positive impact of AI if left unaddressed. The analysis emphasizes that the overall impact of AI on sustainable economic growth depends heavily on complementary factors, including investments in human capital, digital infrastructure, regulatory frameworks, and institutional capacity. Effective public policies are necessary to ensure that AI adoption supports inclusive growth, enhances resilience, and aligns economic incentives with long-term sustainability goals. The study concludes that artificial intelligence should be viewed as a strategic economic enabler rather than a standalone technological solution. When guided by sound economic policies and governance structures, AI has the potential to support long-term, sustainable economic growth across both advanced and developing economies.

Keywords: Artificial Intelligence, Sustainable Economic Growth, Productivity, Innovation, Digital Economy, Green Growth, Economic Development, Public Policy, Technology and Sustainability