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The Role of Artificial Intelligence and Digital Tools in African Development

Focus - The Path to Digital Inclusion in Africa, based on an inclusive innovation framework and case studies, explores the mechanisms for technology to empower Africa's independent development.

Detail

Published

23/12/2025

Key Chapter Title List

  1. Introduction
  2. Inclusive Innovation
  3. Leveraging AI to Address Knowledge Asymmetry
  4. AI as Public Infrastructure
  5. AI and New Dimensions of Employment
  6. Building Interconnected Solutions
  7. Case Studies
  8. Challenges to Systemic Digital Inclusion in Africa
  9. Action Initiative: The "Act Now, Follow Up" Plan
  10. Conclusion

Document Introduction

The global digital gender gap is projected to cause a loss of over $500 billion in GDP for 32 low- and middle-income countries in the next five years, while Africa still faces systemic gaps in achieving technology-driven development. This report explores a core question: how can artificial intelligence and digital technologies provide tangible pathways to empower Africans and help Africa realize its people-centered development vision.

Grounded in Sen's Capability Approach and incorporating the core idea of interconnectedness between the individual and society from the "Ubuntu" value system, the report introduces an inclusive innovation ladder model (covering six levels of inclusion: intent, consumption, impact, process, structure, and post-structure) to analyze the positioning and potential for advancement of Africa's AI development within this framework.

The research indicates that while Africa's mobile penetration rate exceeds 70% and mobile internet penetration has reached 32%, the tangible impact of technology on development outcomes has yet to manifest at scale. AI can address knowledge access asymmetry through virtual knowledge workers, low-resource language processing, and data co-creation, while simultaneously creating new employment opportunities for African youth, such as earning income through local language data collection.

The report showcases indigenous African technological innovation practices through case studies like Kenya's agricultural data-sharing platform and Lelapa AI's multilingual large language model, InkubaLM. It also analyzes the challenges currently facing AI development in Africa, including high infrastructure costs, talent shortages, an underdeveloped ecosystem, and the risk of digital colonialism.

Based on case analysis and problem diagnosis, the report proposes a two-phase action initiative: "Act Now (2024-2027)" and "Follow Up (2028-2033)". This initiative spans three dimensions—ecosystem building, institutional and governance reform, and social empowerment—providing policy references for Africa to build a people-centered, community-oriented technological development system.

The report emphasizes that Africa's developmental strength lies in its human relationships and collective values. As a tool, AI must be embedded within the African local context. Through inclusive and collaborative innovation, Africa can achieve autonomous agency in technological development, avoid new forms of hegemony and colonialism, and highlight its unique contribution to global development.