The integration of AI in education represents both a unique opportunity and a complex challenge. This report presents findings from a pioneering study on AI adoption in African Higher Education Institutions (HEIs), with insights from 3,875 respondents across 47 African HEIs and from 199 education technology (edtech) stakeholders.

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The study, convened by the Qatar Foundation’s World Innovation Summit for Education (WISE), was led by The Education Collaborative at Ashesi University in partnership with Mohammed VI Polytechnic University (UM6P) and AfriLabs. It reveals cautious optimism: HEIs and stakeholders recognize AI’s transformative potential but grapple with significant implementation barriers.

Key Findings
Most adoption is confined to AI-enabled learning management systems (LMS), where 62% of reported usage occurs, indicating narrow institutional use. Public HEIs show higher uptake (69%) compared to private ones (57%), yet private HEIs express slightly more confidence in their readiness to expand AI adoption (48% vs. 46%). This contrast highlights both momentum and hesitation across the sector.

Governance frameworks are patchy. Only four in 10 HEIs report having a comprehensive AI policy, with formal guidelines for ethical and responsible use. Public HEIs are somewhat ahead (44% with AI policies and 47% with ethical use frameworks), while private HEIs lag (at approximately 36% on both counts). The absence of robust policies undermines institutional confidence and slows systematic adoption.

The wider edtech landscape shows a sharper imbalance. Out of more than 414 active post-secondary edtech startups in Africa, HolonIQ data shows that only 45 (10.9%) focus exclusively on higher education and fewer than 2% build AI solutions tailored for HEIs. Most edtech entrepreneurial activity remains concentrated at K–12 levels, due to structural and demand bottlenecks at the tertiary level, leaving HEIs underserved.

Qualitative insights also reveal ambivalence towards AI use among HEI faculty and administrators. Participants acknowledge AI’s potential to serve as both a pedagogical and administrative assistant, supporting personalized learning and nurturing problem-solving skills. Yet slow educator uptake, entrenched bureaucracies, a lack of investment, and concerns about the safeguarding of academic integrity stall progress.

Overall, adoption in HEIs is still in the low to moderate range. HEIs are running pilots, but these 7 remain isolated experiments rather than campus-wide strategies. Faculty and staff often lack the training or incentives to fully integrate AI into teaching and research, and bureaucratic processes slow down broader adoption. The result is that while enthusiasm is growing, HEIs are still in early stages: experimenting, testing, and learning but not yet moving into full-scale integration. AI in African higher education is being treated less as a transformative opportunity and more as a set of pilots, an approach that explains why adoption remains modest for now.

University Mohammed VI Polytechnic (UM6P) in Morocco is charting a course that all can learn from. UM6P has adopted AI as a structured enabler of institutional transformation. Instead of scattered pilots, UM6P is designing system-level solutions that solve specific pedagogical and operational challenges. The UM6P model shows what is possible when an HEI takes deliberate, problem-driven steps: anchoring technology in pedagogy, breaking complex processes into modular components, ensuring human oversight, and cultivating a culture of digital fluency.

We recognize that UM6P is an elite, well-funded institution with access to resources that many HEIs in this study and otherwise do not possess. However, their approach offers a valuable conceptual framework that others can learn from, demonstrating how intentional strategy and structured implementation can guide meaningful AI integration in higher education.

Recommendations
The study makes clear that Africa’s HEIs are central to the future of AI in higher education. To move beyond fragmented pilots, HEIs will need to adopt comprehensive AI policies, build faculty and student capacity, and anchor every tool in sound pedagogy. Success will depend on treating AI not as a replacement for educators but as a partner that enhances teaching, learning, and administration.

Governments and regional bodies have a critical role to play in creating the conditions for responsible adoption. By closing policy gaps, investing in infrastructure, and offering incentives to experiment, policymakers can help ensure that AI overcomes rather than deepens existing inequities. Funders and industry partners also have an opportunity to shape this trajectory.

While most investment has focused on K–12, higher education remains underserved. Directing resources toward university-focused startups and supporting public–private partnerships can unlock scalable, locally relevant solutions.

Together, these actions point to a shared agenda: HEIs providing leadership, policymakers setting enabling frameworks, and funders ensuring the resources and tools are in place. If these steps are taken, AI can become not just a technological upgrade but a driver of equity, innovation, and excellence across Africa’s higher education systems.