Saturday, April 11, 2026

Experts call for AI skills development in Africa’s education sector

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Across lecture halls and research labs in Africa, a quiet revolution is taking shape. As artificial intelligence reshapes economies and industries globally, educators and technologists are sounding a clear alarm: the continent must urgently equip its academic workforce and student body with the skills to harness this transformative technology. This call to action, highlighted at the recent Deep Tech Summit in Benguerir, Morocco, frames AI not as a distant threat but as an immediate opportunity for Africa to leapfrog traditional development stages and address its unique socio-economic challenges.

Pioneering in the Classroom: UM6P’s ChatGPT Experiment

Mohammed VI Polytechnic University (UM6P) has positioned itself at the forefront of this movement, becoming the first university on the continent to officially integrate OpenAI’s ChatGPT into its academic ecosystem. Khalid Badou, UM6P’s Chief of Staff and Director of Institutional Affairs, describes the initial trepidation many felt—concerns about academic integrity and the disruption of traditional pedagogy—as having given way to a pragmatic exploration of utility.

“As AI becomes inevitable, our role is to adopt, adapt, and govern its use within education,” Badou stated at the summit. The university’s experiment is less about wholesale replacement of teaching and more about reimagining it. Early applications focus on augmenting research, personalizing learning support, and developing critical prompt-engineering skills among students, turning a perceived disruptor into a collaborative tool.

The “Leapfrog” Moment for African Academia

Badou sees a unique, synchronous global starting point. “Everyone is discovering what AI can do, how to manage it, and how it will impact our daily lives,” he noted. This simultaneous global learning curve means Africa is not perpetually playing catch-up; instead, it has a window to embed AI in ways that directly serve local contexts—from analyzing agricultural data for smallholder farms to accelerating drug discovery for regional diseases.

The potential is immense. AI is projected to contribute $15.7 trillion to the global economy by 2030, according to the United Nations Development Programme (UNDP). Yet, without targeted action, the Global South, including Africa, may capture only a fraction of this value. Experts argue that with a digitally native youth population and pressing needs in healthcare, agriculture, and fintech, AI adoption could be as transformative for Africa as historic infrastructure investments.

The Dual Infrastructure Gap: Connectivity and Cognition

Realizing this potential, however, requires confronting two critical gaps: digital and intellectual.

1. The Connectivity Chasm

The foundational requirement for any AI tool is reliable internet access. Here, the data is stark. According to the GSMA’s 2024 State of Mobile Internet Connectivity Report, only 30% of Africans used mobile internet in 2023, despite 59% of the population living within range of a mobile broadband network. This 29-percentage-point “usage gap” is the widest in the world, primarily driven by affordability and digital literacy barriers.

“If more people have internet access, they already have a large part of the tech infrastructure needed to test and use AI,” explained Jalal Charaf, Chief Digital and AI Officer at UM6P. Without bridging this coverage and usage gap, AI’s benefits risk becoming an urban, elite privilege, further deepening the digital divide.

2. The Intellectual Infrastructure Deficit

Equally crucial is what Charaf terms “intellectual infrastructure”—the human expertise to understand, develop, and ethically govern AI. This encompasses everything from training computer scientists to upskilling humanities professors on AI’s societal implications.

  • For Academia: Curricula must evolve to include AI literacy, machine learning fundamentals, and data ethics across all disciplines, not just computer science.
  • For Leadership: University deans, government education officials, and policymakers require their own dedicated upskilling to craft effective strategies and regulations.
  • For Research: Funding and incentives must be redirected to support locally-relevant AI research that addresses African priorities, from climate-smart agriculture to predictive public health.

Towards a Unified African AI Strategy

Recognizing the continental scale of the challenge, the African Union (AU) is mobilizing. Its Continental AI Strategy, adopted in 2024, calls for coordinated national policies, robust data governance frameworks emphasizing sovereignty, and the establishment of ethical guidelines. Lavina Ramkissoon, AU Ambassador for AI, Ethics, and Digital Transformation, stresses that the strategy’s success hinges on national implementation.

“Africa must unite and define what AI means for the continent,” she asserted, pointing to the regulatory models of the EU, US, and China. A significant financial pillar is the proposed $60 billion AI fund announced by 52 nations at the Kigali Global Summit on AI for Africa in April 2024. While a landmark commitment, experts note that transparent governance structures and clear deployment roadmaps for this fund are now the critical next steps.

A Path Forward: Actionable Steps for the Sector

Transforming this momentum into tangible progress requires coordinated action:

  • Institutionalize AI Literacy: Universities should mandate AI foundation courses for all undergraduates and provide intensive reskilling programs for existing faculty.
  • Forge Public-Private Partnerships: Tech companies, telecom providers, and governments must collaborate on subsidized connectivity and cloud computing access for academic institutions.
  • Develop Contextual Ethical Frameworks: Africa needs its own AI ethics guidelines that reflect its diverse cultural values and address specific vulnerabilities like bias in language models for African languages.
  • Create Safe Sandboxes: Regulatory sandboxes, like those used in fintech, can allow universities to test AI applications in controlled environments, fostering innovation while managing risk.

The AI revolution is not a passive wave to be weathered but an active engine to be built. For Africa’s academia, the imperative is clear: to move from being observers and consumers of global AI trends to becoming skilled architects and ethical custodians of a technology that can, if guided properly, accelerate the continent’s own unique journey toward sustainable development and knowledge sovereignty.

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