The debate over artificial intelligence in Africa is sharply divided. One side argues the continent must invest heavily in AI to avoid being left behind. The other says resources should focus on urgent priorities like hunger, electricity, and health.
Supporters of AI adoption say it is not a zero-sum choice. “We can build AI capabilities while solving core problems; in fact, there is no other way to do AI,” says Nigerian tech leader Ojoma Ochai, who compares the debate to mobile phone adoption in the 1990s.
Nigeria leads West Africa
Nigeria has become the region’s AI leader, home to more than 400 AI firms and the recipient of $520 million in venture capital in 2024. Its National AI Strategy, launched last August with input from 120 global experts, aims to position the country as West Africa’s AI hub.
Startups like Ubenwa Health, which uses AI to detect birth asphyxia with 96 percent accuracy, and Kudi, which applies conversational AI to banking, illustrate the sector’s momentum. The government has backed the ecosystem with a $1.5 million AI fund and partnerships with Google.
Still, Sub-Saharan Africa’s 2023 average score on Oxford Insights’ government AI readiness index was just 30, compared with North America’s 81. Morocco, Egypt, and Tunisia outperform most of the region, while Ghana and Senegal have launched major AI training and research initiatives.
Continental coordination and uneven growth
Rwanda, Mauritius, Egypt, and South Africa have rolled out national AI strategies, and in July 2024 the African Union adopted its first Continental AI Strategy to promote collaboration across borders. Africa hosts more than 2,400 AI companies, but half are concentrated in seven countries and nearly two-thirds are still in early stages of development.
Infrastructure and energy constraints
Africa has less than 1 percent of global data center capacity, concentrated mainly in South Africa, Nigeria, and Kenya. AI data centers require up to 50 kilowatts per rack per hour — over eight times the annual electricity consumed by an average Nigerian. Nearly half of Sub-Saharan Africa lacks electricity access, and mobile internet connectivity stands at 27 percent, far below the global average of 57 percent.
Data and talent challenges
Weak statistical systems and political interference limit access to quality data. Outdated university curricula produce graduates ill-prepared for the AI workforce, while many data annotators face poor pay and working conditions.
Yet Africa’s young demographics offer promise. Large-scale training programs, such as Nigeria’s 3 Million Technical Talent initiative and an African Development Bank–Intel partnership to train 3 million people in AI, aim to prepare the next generation.
Proof that leapfrogging works
Success stories include Tunis-based InstaDeep’s $684 million acquisition by BioNTech and Google AI’s work in Ghana, which has produced flood forecasting tools, improved satellite mapping, and expanded language support for African languages.
A closing opportunity
AI could add $1.2 billion to Africa’s GDP by 2030 if the continent captures just 10 percent of the global market. But limited infrastructure, data quality issues, talent shortages, and regulatory gaps threaten progress.
Bosun Tijani, Nigeria’s communications minister, warns that ignoring AI would mean failing future generations. As analyst Abraham Augustine says, “Leapfrog away. As long as you look before, during, and after you leap.”
Africa must build AI that serves its own needs, balancing ambition with local realities, or risk being sidelined in the global AI race.
