This study investigates how decentralized, industry-linked learning hubs can address Africa's enduring higher education challenges of access, affordability, and employability. It proposes a scalable framework combining the African Leadership University (ALU)'s multi-city model with the Community Services Association (CSA) Rwanda's district-based learning ecosystem. The study is guided by three research questions: RQ1: What systemic enablers support the diffusion of industry-linked university hubs in Africa? RQ2: What key barriers limit diffusion, and how do they vary across countries? RQ3: How can proven models (e.g., ALU, CSA) be adapted and costed for scale? (2)Methodology. A qualitative comparative analysis was conducted using 35 high-credibility secondary sources filtered via a PRISMA-adapted protocol from an initial 245 records (2010-2025). Four cases-ALU, CSA, Ashesi University, and UNICAF-were analyzed through the lenses of Diffusion of Innovation, Triple Helix, and Experiential Learning theory. Although the study relies exclusively on secondary sources, we applied light-touch text-mining in MAXQDA: policy documents were tokenised, stop-words removed, and coded with an unsupervised LDA algorithm (k = 6) to surface latent themes that triaged sources for qualitative comparative analysis; no clustering or association-rule modelling was undertaken. Visual tools-including causal-loop diagrams, scorecards, and a Gantt-style scale-up roadmapsupported synthesis. (3) Findings. Five core enablers emerged: policy alignment, institutional autonomy, Triple Helix linkages, diversified finance, and contextualized curricula. Barriers included regulatory rigidity, funding fragility, governance gaps, and digital divides. The proposed Pan-African Learning Hub Framework blends ALU's experiential pedagogy with CSA's grassroots model, enabling vertical progression from districtlevel cooperatives to regional research hubs. A three-year scale-up plan (USD 400-4,000 per student/year) suggests viability under flexible policy conditions. (4) Research Limitations / Implications. Secondary-data reliance constrains causal attribution and excludes francophone/North African contexts. Field validation and financial modeling are recommended for future work. (5) Practical Implications. Policymakers and institutions can use this framework to pilot scalable, employment-linked hubs without constructing new campuses. (6) Originality / Value. This is the first study to align Africa-wide policy ambitions with operational design and costing of university-linked hub models.