AI and Productivity in Africa

Executive Summary

AI presents Africa with an opportunity to leapfrog traditional productivity pathways, but only if deployed beyond narrow automation use cases. The greatest gains will come from systems that enhance decision-making, connect fragmented actors, and formalise previously invisible economic activity.

Productivity growth in Africa will be driven by human–AI collaboration, not labour displacement. The central question is not how many jobs AI will replace, but how effectively it can raise output, reliability, and income across existing work.

In this report

• Executive summary
• Africa's productivity challenge in global context
• Why automation alone is not enough
• AI as an augmentation and coordination layer
• Sector-specific productivity unlocks
• Informality, SMEs, and the long tail of African economies
• Talent, skills, and human–AI collaboration
• Policy, infrastructure, and adoption constraints
• Strategic pathways to scale impact

Key Themes

Beyond automation: AI as coordination, intelligence, and decision support

Informal economy inclusion: Digitising workflows without erasing livelihoods

SME enablement: Lowering the cost of management, planning, and compliance

Sectoral unlocks: Agriculture, trade, logistics, health, education, and finance

Human capital: Skills, trust, and adoption barriers