Work & marketsSub-Saharan Africa+4 clusters01
Schindler et al., “Unlocking the Potential: AI in Sub-Saharan Africa”
An IMF paper frames sub-Saharan Africa’s central AI risk less as immediate technological disruption than as failing to adopt, adapt, and scale the technology quickly enough to share in productivity and growth gains. Using country-level estimates, adoption scenarios, and emerging African use cases, the authors identify unreliable and insufficient electricity, limited digital infrastructure, scarce technical skills, and gaps in regulatory and institutional capacity as the main constraints on adoption.