REGIONAL INTEGRATION AND ARTIFICIAL INTELLIGENCE: THE CASE OF ECOWAS IN SUB-SAHARAN AFRICA

Oyejide Felix Omotosho

Department of Political Science, School of Arts and Sciences (SAS), University of The Gambia, The Gambia.

Abstract

This study examined the role of artificial intelligence (AI) in promoting regional integration and economic diversification within the Economic Community of West African States (ECOWAS). The research achieved three key objectives: it evaluated AI’s impact on economic diversification, assessing its role in regional integration, and identifying the risks and challenges associated with AI implementation in the region. Using a descriptive-analytical research design, the researcher comprehensively analyzed secondary data from government reports, academic journals, and industry publications. Findings indicated that AI drives economic diversification by fostering innovation, enhancing productivity, and supporting the transition to digital economies in ECOWAS. The study also contributed to long-term economic growth by improving sectors like agriculture, manufacturing, and services. Furthermore, AI plays a significant role in regional integration by streamlining governance processes, promoting cross-border cooperation, and enhancing resource management. However, challenges such as job displacement, the digital divide, and technological readiness pose barriers to AI’s full potential. The study emphasizes the need for inclusive digital infrastructure, skill development, and ethical governance frameworks to ensure AI’s successful adoption in ECOWAS. In conclusion, AI presents immense potential for socio-economic development and regional integration in West Africa. However, addressing the linked risks through policy coordination and capacity building is essential for actualizing these benefits.

Keywords: Artificial Intelligence (AI), Regional Integration, Economic Diversification, ECOWAS, and Digital Transformation.