This study examined staffing challenges and brain drain in two public universities in Abia State, Nigeria: Abia State University (ABSU), Uturu and Michael Okpara University of Agriculture (MOUAU), Umudike. It adopted a descriptive exploratory mixed-methods design to investigate the extent of these problems and explore Artificial Intelligence (AI) as a supplementary tool for teaching and human resource management. The study was guided by five research questions. The target population consisted of approximately 1,850 academic and non-academic staff in the two universities. A stratified purposive sampling technique was used to select 320 participants for the questionnaire and 25 key informants for semi-structured interviews. The research instrument was pilot-tested on 30 staff members outside the study area. Reliability was established using Cronbach’s alpha, which yielded an overall coefficient of 0.87, indicating high internal consistency. Data were analysed using descriptive statistics (via SPSS version 26) and thematic analysis. Major findings revealed severe staffing shortages with vacancy rates of 38.8% (academic staff) at ABSU and 31.3% at MOUAU. Brain drain, popularly known as the Japa syndrome, significantly contributed to these gaps, driven mainly by poor remuneration, inadequate infrastructure, and unstable working conditions. Staffing shortages negatively affected teaching quality, research output, and administrative efficiency. While awareness of AI tools was moderate, participants expressed strong support for its use in automated grading, chatbots, workload distribution, and performance analytics. However, poor electricity and internet connectivity constituted major barriers. The study recommends that the two universities urgently establish AI pilot programmes in high-workload departments combined with staff digital literacy training. This approach offers a practical, supplementary pathway to mitigate the effects of brain drain and staffing challenges in resource-constrained environments.  

Keywords: Brain drain, staffing challenges, public universities, Artificial Intelligence, Abia State, higher education, Japa syndrome.