Africa’s AI Opportunity Will Be Won or Lost in Agriculture, Health and Public Services

Artificial intelligence could deliver some of its largest development gains in Sub-Saharan Africa through agriculture, healthcare, education and public services rather than through frontier technology alone, according to a new International Monetary Fund paper.

The IMF argues that the region does not need to lead the development of the world’s most advanced AI models to benefit. The more immediate opportunity is to adopt and adapt existing tools to sectors where productivity gaps are wide and access to skilled professionals remains limited.

Agriculture offers a practical starting point

Agriculture employs a large share of the region’s workforce and remains one of the sectors with the widest productivity gaps. The IMF highlights AI-enabled advisory systems delivered through mobile phones and SMS, which can provide farmers with information on crops, weather, pests and farm management.

Evidence reviewed in the paper indicates that some low-cost digital advisory tools have already produced double-digit improvements in agricultural yields and incomes. The significance is that such services can reach users without requiring advanced devices or constant high-speed internet access.

AI could extend scarce skills

In healthcare and education, AI could help professionals serve larger populations by supporting diagnosis, learning, administration and information delivery. The IMF says these applications may be particularly valuable in low-connectivity settings where skilled personnel are scarce.

The opportunity is not to replace teachers, health workers or agricultural advisers, but to strengthen their reach and productivity while improving access for communities that remain underserved.

Governments could also become more productive

The IMF identifies domestic revenue mobilisation, customs administration, expenditure control and public-service delivery as areas where AI could improve government efficiency. Even modest gains in these functions could have an important economic effect because they influence state revenue, spending and service quality.

The African Union’s Continental AI Strategy follows a similar development-oriented approach. It prioritises the use of AI in agriculture, health, education, infrastructure and governance while calling for African-led solutions, stronger skills, locally relevant data and responsible oversight.

From pilots to broad adoption

Across Africa, governments, businesses and research institutions are already testing AI applications in agritech, fintech, health technology, language services and public administration. The IMF says the next challenge is to move beyond isolated pilots and embed useful systems in institutions and markets.

That will require investment in electricity, connectivity, affordable computing, relevant datasets and human capacity. It will also require procurement and regulatory systems that allow effective tools to scale while protecting citizens’ rights and data.

Sources and references

• IMF: Unlocking the Potential: AI in Sub-Saharan Africa
• African Union: Continental AI Strategy and African Digital Compact
• African Union: Communiqué on AI for inclusive and sustainable development
• Smart Africa: Artificial Intelligence for Africa