The AI could bring 1,500 billion to Africa by 2030. But for lack of training, the continent risks missing its digital revolution.
A few months ago, during a visit to a training center in Lagos, I met Amina, a talented 28 -year -old developer. She dreamed of creating an AI application to optimize agricultural harvests in Nigeria. His obstacle? Impossible to undergo specialized training, for lack of means and adapted offer. Its history sums up the African paradox in the face of AI.
Because the figures make you dizzy. According to McKinsey, the AI could inject $ 1,200 billion into the African economy by 2030. Other projections even evoke 1,500 billion if the continent seizes its luck. What make you dream.
Except that between projections and reality, there is a chasm that I measure every day in my investments.
When reality catches up with great speeches
Data from the REDAA report of May 2025 is relentless: 83% of African organizations go up on IA technology costs. 87% lack technical skills to simply choose the right tools. And 62% have no training dedicated to AI.
As a computer director recently told me in Casablanca: “We are told about a revolutionary AI, but we can’t even train our teams in the basics of machine learning.”
This fracture is all the more glaring since only 28% of Africans have access to the Internet. How to speak of a revolution when the digital fundamentals are not acquired?
Beyond the economy, a question of independence
But the stake exceeds statistics. During my latest missions between Abidjan and Tunis, I saw the local teams forced to use “turnkey” IA solutions from elsewhere, without the possibility of adapting them to African specificities.
As the Ciomag report finely analyzes, “without local mastery of AI, Africa risks remaining permanently on the sidelines”, its talents and data captured by technological giants.
This dependence is not only economic: it is cultural and strategic. Can we imagine health algorithms designed in San Francisco understand the medical realities of the Sahel? Financial AI thoughts for Shenzhen adapting to West African business practices?
However, encouraging lighting
Fortunately, everything is not black. The Qhala ranking of May 2025 shows that South Africa, Tunisia, Egypt and Kenya are progressing significantly. These countries prove that a coherent approach can bear fruit.
I was struck by the Kenyan initiative where agricultural cooperatives form their members to use AI tools to optimize yields. Result: a 25% increase in productivity in less than two years.
In Nigeria, I visited an incubator where young graduates develop IA solutions for the local banking sector. Their secret? Short, practical training, directly connected to the needs of companies.
Three concrete tracks to move forward
Building on these field observations, I see three shareholdable levers:
1. Reinvent training with digital
Rather than reproducing overpriced Western models, let’s create suitable courses. Short (3 to 6 months), modular training, combining online and practical face -to -face theory. The objective: to train massively, not elitely.
2. Missing on the “sober AI”
A Senegalese engineer told me how his team had developed a medical diagnostic AI running on smartphone. No need for pharaonic data centers! As an expert from Africa24TV explains, these “frugal AI” who use “classic machines networked” perfectly correspond to African constraints.
3. Create local ecosystems
States must go from speeches to acts: arrow budgets, universities-business partnerships, tax incentives for training centers. The example of Rwanda, which forms 1000 IA specialists per year since 2023, shows the way.
Africa has its strengths
Besides, Africa is not helpless. It has a young population (60% under 25), accustomed to technological innovation – which invented Mobile Money before Europe! – and an entrepreneurial ecosystem bubbling.
The success of African fintechs proves this. According to the latest McKinsey report, their income will jump from $ 10 billion in 2023 to 47 billion in 2028. If we have managed to revolutionize mobile payments, why not AI?
You have to act now
Let’s go back to Amina, the Lagos developer. Six months after our meeting, she joined a training program that we support. Today, its application helps 5,000 farmers to optimize their crops. A drop of water? Certainly. But who shows the path.
Africa can succeed in its transition. But this requires audacity, targeted investments and above all to stop waiting for the solutions to come from elsewhere. The digital future of the continent is played out now, not tomorrow.
