From Basic Literacy to Digital Literacy: Building Foundational Skills for the 21st Century in Africa

This study examines structural barriers hindering Africa’s effective adoption and integration of Artificial Intelligence (AI) to enhance human capital efficiency. Similar to past industrial revolutions, the fourth industrial revolution—driven by AI—acts as a technological engine of growth in the Solow framework. Using a descriptive and comparative approach based on quantitative data, the paper identifies the key barriers to AI adoption across the continent. According to results, over 50% of Africans lack internet access, preventing them from benefiting from AI-driven productivity gains. Furthermore, 64% of African countries have no national AI strategy, highlighting limited awareness of AI’s transformative potential. West and Central Africa appear to be the least prepared regions. To overcome these challenges, long-term solutions include accelerating electrification and expanding internet coverage, while short-term strategies focus on reforming education curricula and providing continuous AI training for teachers. Additionally, developing AI models accessible via mobile messaging services could promote inclusive access, even for users without smartphones. Integrating AI into education and training systems is not optional—it is essential to ensure that technological progress contributes to equitable and sustainable development in Africa. Keywords: Literacy, Structural weaknesses, Artificial Intelligence, Machine Learning, digital, skills, human capital