This systematic review examines how Technical and Vocational Education and Training (TVET) systems in Africa are preparing for an artificial intelligence (AI)-enabled workforce. It synthesises evidence on the AI competencies required by learners and educators, strategies being implemented by TVET institutions, competency frameworks guiding AI integration, and the institutional, infrastructural, and policy factors influencing AI readiness. Following PRISMA 2020 guidelines, the review analysed 21 studies published between 2018 and 2026 from African contexts using narrative synthesis. The findings indicate that AI readiness in African TVET is a multidimensional challenge involving digital and technological competencies, AI-related pedagogical capacity, ethical awareness, infrastructure availability, institutional support, and policy alignment. While studies demonstrate strong interest and positive attitudes toward AI adoption, implementation remains constrained by limited infrastructure, inadequate digital skills, and weak institutional frameworks. The review highlights the need for context-responsive AI competency frameworks, strengthened digital infrastructure, educator capacity development, and coordinated policy interventions to enable African TVET systems to produce an AI-ready workforce.