Department of Economics, Obafemi Awolowo University, Ile-Ife, Nigeria.
World Journal of Advanced Research and Reviews, 2025, 28(03), 1366-1380
Article DOI: 10.30574/wjarr.2025.28.3.3569
Received on 10 November 2025; revised on 15 December 2025; accepted on 18 December 2025
Digitalization and artificial intelligence possess significant potential to enhance the inefficient utilization of natural resources. Nonetheless, research on this subject remains limited in many resource-abundant African nations. This study draws upon economic growth theory, which posits that AI can serve as a substitute for conventional factors of production and foster the generation of innovative ideas, thereby facilitating long-term growth trajectories. The results indicate that digital initiatives in resource-rich African countries predominantly concentrate on sectors such as financial technology, agriculture, manufacturing, public services, healthcare, education, and general service provision, while largely neglecting their primary resource industries, including oil, gas, and minerals. Notably, South Africa has prioritized the integration of digital technologies within its mining sector. Overall, the adoption of AI across Africa is still in a nascent stage, even among countries endowed with substantial resources. However, nations like Algeria, South Africa, and Zimbabwe have demonstrated some progress in implementing AI solutions within their petroleum and mining industries. The study recommends that other resource-rich African countries intentionally incorporate digital technologies and AI into their resource sectors to improve efficiency, enhance competitiveness, and boost productivity.
Digitalization; Artificial Intelligence; Priority Sector; Resource-Endowed; African Countries
Get Your e Certificate of Publication using below link
Preview Article PDF
Opeyemi Nathaniel OLADUNJOYE. Digitalization and the Application of Artificial Intelligence in Priority Sector among Resource-Endowed African Countries. World Journal of Advanced Research and Reviews, 2025, 28(03), 1366-1380. Article DOI: https://doi.org/10.30574/wjarr.2025.28.3.3569.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0