The integration of artificial intelligence into higher education has become a critical priority for universities globally. Yet public universities in Nigeria face severe digital infrastructure deficits that block meaningful AI learning. This study examines how university management and curriculum developers respond to these deficits using a comparative qualitative case study of two institutions in Imo State: the Federal University of Technology Owerri (FUTO), a federal technology focused university, and Imo State University Owerri (IMSU), a state owned comprehensive university. Data collection involved semistructured interviews with 23 participants including university administrators, ICT directors, faculty members, and students. Document analysis covered institutional policies and curriculum documents from 2020 to 2025. The findings reveal profound infrastructure gaps across both institutions, particularly in reliable electricity, broadband connectivity, dedicated AI computing hardware, and access to cloud based AI tools. Management responses differ substantially between the two institutions. FUTO leverages its federal status and technology mandate to attract donor funded infrastructure projects and industry partnerships. IMSU relies more heavily on intermittent state government support and internally generated revenue. Curriculum responses exhibit a shared pattern across both universities. AI related content remains predominantly theoretical, delivered through lecture based formats with minimal hands on computing components. Faculty and students report that infrastructure deficits directly constrain what can be taught and learned. The study concludes that without targeted policy interventions and alternative pedagogical models designed for resource constrained environments, Nigerian universities risk producing graduates unprepared for an AI driven labour market. Practical recommendations focus on priority infrastructure frameworks, public private partnership models, and low resource AI pedagogy guidelines. 

Keywords: AI learning, digital infrastructure, higher education management, curriculum adaptation, Imo State, Nigeria, resource constrained environments.