Africa’s universities are at a pivotal moment in the digital age. A recent study, Harnessing AI for Higher Education in Africa, led by the World Innovation Summit for Education (WISE) in partnership with The Education Collaborative at Ashesi University, UM6P, and AfriLabs, paints both an optimistic and sobering picture of how artificial intelligence is reshaping higher education across the continent.
Drawing on feedback from nearly 3,900 stakeholder, including faculty, administrators, students, and policymakers, across 47 higher education institutions in Anglophone and Francophone Africa, the study provides the first broad assessment of AI readiness at scale in African universities.
Uneven adoption: A frontier in transition
The report finds that AI adoption in African universities is growing, yet its distribution is uneven. While interest and experimentation are widespread, fewer than half of institutions have the infrastructure and policies needed to scale meaningful use of AI tools. Around four in ten universities surveyed have formal institutional AI policies or ethical guidelines governing the use of AI in teaching, learning, research, and administration. Private institutions tend to report higher confidence in their readiness to implement and scale AI, reflecting disparities in resources. These figures indicate that while many universities recognise AI’s strategic potential—from personalised learning to predictive analytics—structural readiness remains a significant bottleneck.
The uneven readiness is shaped by a combination of policy gaps, governance challenges, and capacity constraints. Many universities lack clear strategic frameworks to guide AI adoption, meaning integration often relies on individual champions rather than systematic planning. Infrastructural limitations, from restricted bandwidth to outdated hardware, further hamper implementation. Institutions with robust IT infrastructure are more likely to experiment with AI tools, but many universities still struggle to support even basic digital platforms.
Faculty capacity also emerges as a key challenge. While educators often recognise AI’s potential, they lack structured training and incentives to integrate it meaningfully into the classroom. The report highlights a strong demand for professional development programmes tailored to AI literacy and pedagogical innovation.
Certain institutions are already charting a path forward. University Mohammed VI Polytechnic (UM6P) in Morocco is cited as an example of intentional AI strategy, integrating policy, pedagogy, and practical tools to create early impact. Such cases demonstrate that strategic foresight, rather than ad-hoc adoption, results in deeper integration of AI into both academic and operational missions.
Implications for policymakers and leaders
The report underscores a dual reality: AI’s promise in African higher education is real, yet readiness is patchy. Policymakers and institutional leaders are encouraged to focus on developing clear AI governance and ethical frameworks to ensure responsible deployment, investing in digital infrastructure and connectivity as foundational requirements, and strengthening faculty capacity through AI literacy and professional development programmes. Structured assessment tools, such as the Digital Maturity Scorecard, can help track progress and prioritise interventions.
The picture emerging from Harnessing AI for Higher Education in Africa is one of cautious optimism. African universities are engaged with AI, motivated to innovate, and increasingly aware of its transformative potential. However, institutional readiness, especially around policy, infrastructure, and capacity, lags behind ambition. What was once technological curiosity is now entering strategic discourse. For AI to become a force for equitable, responsible, and sustained transformation in African higher education, universities must pair ambition with governance and capability building. Only then can AI reshape not just teaching and research, but the future of higher education across the continent.