Unlocking the Potential

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Authors: Martin Schindler, Andrew Tiffin, Andrea Richter Hume, Kamil Dybczak, Marwa Ibrahim, Youssouf Kiendrebeogo, Jacinta Bernadette Shirakawa, Nikola Spatafora, Solo Zerbo
Cited by: 1
References: 2

Abstract

Artificial intelligence (AI) is emerging as a general-purpose technology with the potential to reshape productivity, labor markets, and growth trajectories worldwide. For sub-Saharan Africa (SSA), the central concern is not the risk of technological disruption, but whether countries will be able to adopt, adapt, and scale AI quickly enough to capture its benefits and avoid falling further behind. This paper contributes to the policy debate by applying recent AI-exposure and productivity methods to sub-Saharan Africa, combining country-level estimates with adoption scenarios and evidence from emerging African use cases. At present, the region’s capacity to adopt AI is constrained by structural bottlenecks—unreliable and insufficient electricity, limited digital infrastructure, scarce technical skills, and gaps in regulatory and institutional capacity. However, AI gains are within reach if countries move quickly to strengthen the foundations for adoption.

Fields of Study & Subjects

Economic Growth and Development ICT in Developing Communities Economic and Technological Innovation

Publication details

Journal / source
Departmental Paper
Publisher
International Monetary Fund (IMF)
Volume
2026
Issue
013
Pages
1–1
Publication date
1 July 2026
Language
EN