This study explores the challenges and opportunities of Artificial Intelligence (AI) adoption and integration in Nigerian universities, extending to both academic and non-academic, administrative, student, and research activities. The broad objective of the study is to investigate the impact of AI on teaching, learning, research, and administrative processes. The study employed a mixed-methods research design, combining both qualitative and quantitative approaches, and used surveys, interviews, and existing literature as sources of data. Stratified sampling and purposive sampling techniques were adopted to select respondents. The Yaro Yamane mathematical method was used to determine the sample size. The study applied the Technological Determinism Theory and the Technology Acceptance Model (TAM) to understand the adoption and use of AI in Nigerian universities. Statistical Package for Social Sciences (SPSS) was used for data analysis and Microsoft Excel for data organization. The study revealed that Nigerian universities face significant challenges in AI adoption, including lack of infrastructure and resources, shortage of skilled personnel, and concerns about data quality and availability. AI adoption can improve teaching, learning, research, and administrative processes in Nigerian universities, but requires careful consideration of its potential impact on the workforce. Furthermore, AI-powered systems can perpetuate existing biases and inequalities if not designed and developed with care. Based on the findings, the study recommends investment in infrastructure and resources, capacity building and training programs, and careful consideration of the potential impact of AI on the workforce. Prioritizing data quality and availability, and ensuring that AI-powered systems are designed and developed with fairness and transparency in mind is also crucial. The study concludes that AI adoption and integration in Nigerian universities has the potential to transform the education sector, but requires careful planning, investment, and consideration of its potential impact
Orie, Sylvester Okorie PhD, Msc, MPA, MBA, PGD, BSc, CNA, FCNA, FNIM, FCAI, FCIMN (Tue,) studied this question.