Africa's Tech Future, Today.
What artificial intelligence and other emerging technologies mean for African workers, businesses and governments. Concrete and grounded, not speculative.
An ambitious venture aiming to operate orbital data centres has secured $8 million in capital funding. The project seeks to address growing terrestrial energy constraints by leveraging space-based solar power to process demanding artificial intelligence workloads.
Nigerian fintech startup Saly AI has surpassed 20,000 active users and processed ₦1.5 billion in volume, proving the viability of app-free conversational banking across Africa.
Faced with currency fluctuations and supply chain friction, African SMEs are ditching fragmented software tools for integrated, cloud-native Enterprise Resource Planning (ERP) systems that serve as the real-time nerve center of their operations.
Adoption is high and enthusiasm is lower than the marketing suggests. Founders describe real productivity gains alongside costs and constraints that rarely make the pitch.
The gap is not linguistic difficulty. It is that the text these systems learn from was scraped from a web that barely contains these languages.
The deployed applications are less exciting and more useful than the ones that get launch coverage: document handling, triage, translation and fraud detection.
Training capacity is concentrated in a handful of countries. What that means for everyone else is a question of strategy, not sentiment.
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