ECONOMIC IMPLICATIONS OF ARTIFICIAL INTELLIGENCE (AI) ADOPTION FOR EDUCATIONAL MANAGEMENT IN NIGERIA

Abstract

This study examines the economic implications of Artificial Intelligence (AI) adoption for educational management in Nigeria. Anchored on Diffusion of Innovation Theory and Human Capital Theory, the study explores both the drivers of AI adoption and its long-term economic outcomes. Using qualitative documentary analysis, data were drawn from peer-reviewed literature, policy documents, and institutional reports published within the last fifteen years. The analysis focuses on economic impacts, financial challenges, workforce implications, and policy considerations associated with AI integration in educational Management. Findings indicate that AI integration enhances administrative efficiency, improves resource allocation, and strengthens financial transparency. However, adoption remains constrained by high implementation costs, infrastructure deficits, and limited technical expertise. The study recommends phased implementation, increased funding for digital infrastructure, capacity development, and a national AI-in-education policy framework to maximize the economic benefits of AI in Nigeria’s education sector.