Insights
Curated reads and original thinking on AI developments across Africa — from the Diginno team and trusted sources worldwide.
AI in Africa: What's Changing in 2026
Across Ghana, Nigeria, Kenya and South Africa, AI adoption is accelerating among SMEs. Here's what Diginno is seeing on the ground — and what it means for your business.
Nigerian AI Startup Intron Expands Speech Recognition to 57 Languages
Intron's Sahara v2 now supports 57 languages including 23 African languages and over 500 distinct African accents — outperforming major global competitors on African speech benchmarks and adding offline deployment for low-connectivity environments.
Papermap.ai Wants Your Business Questions in Pidgin, Twi, or French
Ghanaian startup Papermap.ai is a no-code business intelligence platform that lets non-technical users query company data in local African languages — bridging the infrastructure gap for growth-stage businesses without SQL or engineering expertise.
64% of African Workers Used AI Last Year, Outpacing Global Average
A PwC survey reveals that African workers are adopting AI at higher rates than the global average — 64% vs. 54% worldwide — with 76% of AI users saying it has improved the quality of their work.
Who Should Own Africa's Data?
African tech leaders and policymakers are pushing for data sovereignty — arguing that communities must control their own data rather than ceding it to foreign tech giants, with calls for cooperative governance and fair compensation for creators whose data trains AI.
Gen AI in Africa: Unlocking Potential
McKinsey QuantumBlack examines how African banks and enterprises are moving from gen AI pilots to production — finding that deployment across the banking value chain alone could unlock billions in productivity gains across marketing, risk, and technology functions.
Africa's Gen AI Potential
A data-focused McKinsey analysis of the economic opportunity generative AI represents for Africa — quantifying the continent's untapped potential across key industries and what it would take to capture it.
Charting the Emerging Geography of AI
While the US and China dominate AI leadership, countries like Nigeria and South Africa are identified as fast-movers — gaining on global leaders through rapidly expanding data pools, even as access restrictions pose a key challenge for developing economies.
Artificial Intelligence: An Indispensable Tool for African Startups
Machine learning, NLP, and computer vision are giving African startups a competitive edge — enabling automation, smarter decisions, and locally-tailored products across agriculture, fintech, and healthcare sectors across the continent.
Digital Skills Provide a Development Path for Sub-Saharan Africa
Harvard Business Review argues that Sub-Saharan Africa can leapfrog traditional manufacturing by building a digital export economy — where young people equipped with advanced AI, software, and creative skills export services globally and transform local economies.
Africa's Leap Ahead into Cloud: Opportunities and Barriers
African organisations are adopting cloud infrastructure at rates on par with North America and China — but infrastructure gaps and skills shortages risk leaving the benefits concentrated among a few large players rather than spreading across the economy.