An International Monetary Fund (IMF) report highlights the transformative potential of artificial intelligence (AI) in boosting productivity and economic growth across sub-Saharan Africa. However, it cautions that significant gaps in infrastructure, digital connectivity, and skill development may impede the region’s ability to fully leverage this technology.
The sector paper, Unlocking the Potential: AI in Sub-Saharan Africa, emphasizes that while AI has the capacity to revolutionize productivity, reshape labor markets, and drive long-term economic development, the region’s challenge lies in its capability to rapidly deploy and adapt AI technologies. The IMF warns that without addressing current shortcomings, sub-Saharan Africa risks falling behind in the global productivity race.
Presently, low rates of AI adoption coupled with inadequate infrastructure and a workforce heavily oriented towards agriculture mean that productivity gains from AI are predicted to be modest—around 0.2%—with an anticipated contribution of approximately 0.4% to cumulative GDP growth over the next decade. However, under scenarios where structural limitations are overcome, advanced AI integration could lead to productivity enhancements of about 2.1%, which would account for roughly 4% of cumulative GDP growth during the same period.
One of the most pressing barriers to AI adoption identified in the report is unreliable electricity supply. Nearly half of sub-Saharan Africa’s population lacks consistent access to electricity, a situation that undermines business operations and hampers the establishment of vital AI infrastructure like data centers. In addition, the report points out limited internet access, low rates of mobile broadband and smartphone usage, as well as high mobile data costs, all of which slow down digital adoption and innovation.
Beyond infrastructural challenges, the report also highlights a shortage of skilled professionals in fields related to science, technology, engineering, and mathematics (STEM). The low enrollment rates in STEM programs, limited access to advanced computing facilities, and the outflow of talent to other regions further inhibit local innovation. Moreover, a fragmented venture capital ecosystem creates additional hurdles for developing and scaling AI solutions that originate within the region.
Despite these obstacles, the IMF notes that AI is already yielding tangible benefits in various sectors. For instance, AI-driven mobile and SMS advisory platforms have been instrumental in helping smallholder farmers enhance crop management, pest control, and irrigation practices. Pilot initiatives have demonstrated significant yield and income increases, showcasing AI’s potential in agriculture. The report also underscores the increasing use of AI in education and healthcare, where it is implemented to facilitate personalized learning, enhance clinical diagnosis, and improve medical supply chain efficiency.
The IMF suggests that governments could also leverage AI to enhance public administration by improving domestic revenue collection, customs operations, and the delivery of public services. Additionally, the report signals the risk of inequities developing if access to AI remains confined to urban centers and skilled workers, potentially exacerbating existing economic and social inequalities. Furthermore, weak regulatory frameworks pose risks, including data privacy breaches, algorithmic bias, cybersecurity issues, misinformation, and digital fraud.
To harness the full benefits of AI, the IMF recommends a phased policy approach aimed at expanding reliable electricity and digital infrastructures, investing in the development of digital skills and human capital, bolstering local data systems, and implementing risk-based AI regulations. It also emphasizes the importance of regional cooperation to harmonize standards, pool resources, and enhance sub-Saharan Africa’s competitiveness in the global digital economy.
