The lender says practical artificial intelligence applications could help African countries boost productivity, create jobs and improve public services, but warns that infrastructure and skills gaps must be addressed.
The World Bank has urged African governments to increase investment in artificial intelligence (AI) as it raised its economic growth forecast for Sub-Saharan Africa to 4.3% in 2026, warning that stronger economic performance must translate into more jobs and better living standards.
The revised forecast, announced on October 6, 2026, represents an increase from the 4.1% projection made in April. According to the bank’s latest Africa Economic Update, the region’s economic growth is being supported by improved macroeconomic conditions, stronger domestic demand and investments associated with the energy transition and digital technologies.
However, the lender cautioned that economic growth alone would not be enough to significantly reduce poverty or create sufficient employment opportunities for the continent’s rapidly expanding workforce.
It identified artificial intelligence as a potential tool for improving productivity, strengthening public services and expanding economic opportunities, particularly if governments focus on affordable technologies that address local challenges.
Andrew Dabalen, the World Bank’s chief economist for Africa, said the next challenge was to turn the region’s economic resilience into more jobs and better opportunities.
The bank noted that growth forecasts had improved for nearly three-quarters of countries in the region, including Nigeria, Angola, Ethiopia and Zambia. Despite this progress, income growth per person remains relatively weak compared with the broader expansion of economic output.
AI could support agriculture, education and small businesses
Rather than encouraging African countries to compete directly with wealthier economies in developing expensive, large-scale AI systems, the World Bank is advocating practical applications that can be deployed at a lower cost.
In agriculture, AI tools could help farmers identify livestock diseases, improve farm management and access timely information to support decision-making. Such applications could be particularly useful for smallholder farmers who face challenges accessing agricultural extension services and specialist expertise.
In education, AI-powered learning tools could provide students with personalised explanations, additional practice and learning support. These systems could help teachers respond to different learning needs, although their effectiveness would depend on the quality of the tools, access to devices and the availability of reliable internet connectivity.
Small businesses could also benefit from AI applications that automate routine administrative tasks, including bookkeeping, accounting and customer support. By reducing the time spent on repetitive activities, entrepreneurs could devote more resources to business development and customer service.
The World Bank’s broader argument is that African countries can gain from adapting existing AI technologies to local needs instead of attempting to replicate the expensive AI infrastructure being developed by major global technology companies.
The approach could allow businesses, schools, farmers and public institutions to benefit from AI without requiring every country to build its own advanced AI models.
Infrastructure remains a major obstacle
Despite the opportunities, the World Bank warned that Africa must address fundamental barriers before AI can deliver widespread economic benefits.
Reliable electricity, affordable internet connectivity, digital skills, quality data and access to computing infrastructure are among the requirements for wider adoption.
In many African communities, unreliable power supplies and expensive data services can limit the use of digital tools. Businesses may also lack the technical expertise or financial resources needed to integrate AI into their operations.
The bank identified shared data centres and stronger data protection laws as important measures for accelerating AI adoption.
Shared computing infrastructure could help reduce the cost of accessing the resources required to develop, adapt and operate AI applications. Stronger data protection frameworks, meanwhile, would help establish safeguards for personal information and encourage confidence in digital services.
Governments would also need to invest in education and workforce training to ensure that citizens can use AI effectively and participate in the opportunities created by the technology.
Without these foundations, the benefits of AI could remain concentrated among a relatively small number of countries, companies and individuals with access to the necessary resources.
Economic growth still faces significant challenges
The revised economic outlook comes amid persistent pressures across the region.
The World Bank highlighted risks associated with geopolitical tensions, higher global energy and food prices, climate-related shocks and elevated borrowing costs. It also noted that high debt-servicing expenses continue to restrict the resources available for public investment in several countries.
The bank projected that the median inflation rate in Sub-Saharan Africa would rise from 3.7% in 2025 to 5.5% in 2026, reflecting pressures from higher global fuel, fertiliser and food prices.
Public debt has broadly stabilised at approximately 57% of regional gross domestic product, but substantial debt-servicing obligations continue to limit governments’ spending capacity.
These pressures make decisions about technology investment particularly important. Governments must balance investment in AI with essential spending on healthcare, education, electricity, transport and other services needed to support inclusive economic development.
The challenge is not simply to introduce AI into public institutions and businesses, but to identify applications that provide measurable benefits and justify the cost of implementation.
Africa’s AI opportunity will depend on policy and execution
The World Bank’s recommendations come as African countries increasingly explore national AI strategies, digital transformation programmes and regulations for emerging technologies.
The African Union’s Continental Artificial Intelligence Strategy provides a regional framework for developing AI capabilities, encouraging innovation and promoting responsible adoption. However, translating such policy commitments into practical results will require sustained investment, coordination between governments and stronger collaboration with the private sector and research institutions.
For African countries, the immediate opportunity may lie in applying AI to existing development challenges, including agricultural productivity, education, healthcare, financial inclusion and public administration.
Governments could support this process by investing in digital infrastructure, improving access to skills training, strengthening data governance and creating opportunities for local researchers, entrepreneurs and technology companies to develop solutions suited to African communities.
Responsible deployment will also require attention to privacy, security, transparency and the potential effects of automation on workers. Policymakers must ensure that AI adoption improves access to services and economic opportunities rather than deepening existing inequalities.
Turning AI investment into jobs and inclusive growth
The World Bank’s revised forecast offers a cautiously positive outlook for Sub-Saharan Africa, but its message is clear: stronger economic growth must produce tangible improvements in people’s lives.
AI could contribute to that objective by helping businesses become more productive, supporting workers, improving public services and expanding access to expertise. Yet these outcomes are not guaranteed by the technology alone.
They will depend on the quality of government policies, the availability of infrastructure, the readiness of the workforce and the ability of African institutions to implement solutions that respond to local needs.
For governments across the continent, the priority is therefore to build the conditions that allow AI to become a practical tool for development.
If African countries can combine affordable AI applications with reliable infrastructure, appropriate skills and effective governance, the technology could become an important contributor to job creation, economic diversification and more inclusive growth.
