The question is no longer whether the continent is ready for artificial intelligence, but what it will do with it. Across energy, infrastructure, business and policy, the foundations are being laid for an AI economy shaped by African priorities.
This week, we look at the investments, people and ideas pushing that shift forward—and what it will take to turn AI ambition into competitive advantage.
Abideen Sobanke is building Africa’s next generation of AI-powered ConTech
The senior data scientist is applying computer vision and generative AI to transform Africa’s built environment. His work focuses on developing infrastructure solutions that can make construction and related industries more efficient, data-driven and responsive. With expertise spanning artificial intelligence, computer vision and emerging technologies, Sobanke represents a growing generation of African technologists building solutions for industries often overlooked by the continent’s digital revolution. His approach points to a future where AI moves beyond consumer applications into the physical infrastructure shaping African cities, helping businesses improve decision-making, reduce inefficiencies and unlock new opportunities across the construction value chain.
Africa’s AI strategies must move from readiness to competitiveness
Africa’s next phase of AI policy must move beyond readiness and focus on competitive advantage, argues Roger Janito. National strategies have laid foundations around infrastructure, skills, data and regulation, but success will depend on productive adoption that improves businesses, strengthens institutions and creates scalable African companies. The opportunity lies not in competing to build frontier models, but in applying AI to sectors where Africa has deep knowledge and urgent challenges, from agriculture and healthcare to mining, logistics and finance. Crucially, adoption must reach small and informal businesses. For governments, the priority is enabling infrastructure, trusted rules, public data and markets—not directing innovation.
Africa’s AI ambitions face a growing power grid challenge ahead
The continent’s data centre demand is projected to rise from about 0.4 gigawatts today to as much as 2.2 gigawatts by 2030, requiring billions of dollars in investment. The World Economic Forum argues that African countries have an opportunity to get ahead of the challenge by planning energy and digital infrastructure together. Strategic AI and data centre zones, stronger transmission networks, regional power integration and greater efficiency could help meet rising demand without placing additional pressure on households. The message is clear: Africa’s AI race will depend on power.
Quick Bites…
- NTT Data South Africa is ramping up hiring as demand for AI, cloud and cybersecurity expertise grows. The company is recruiting across technology disciplines while investing in upskilling and reskilling to address the country’s persistent digital skills gap. It also aims to position South Africa as a global delivery hub, creating local jobs while exporting the country’s technology expertise to international markets.
- South African startup Tennsa, an AI-powered business intelligence platform for SMEs, has secured funding from Oakvale Invest, an AI-focused pre-seed investor. The deal makes Tennsa the firm’s first portfolio company, backing its ambition to help small businesses turn data into actionable insights. The investment highlights growing investor interest in South Africa’s emerging AI startup ecosystem and locally built enterprise technology solutions.
