Building AI in Africa
Applied AI for African markets: the compute and capital realities, what sovereignty actually means, the local-data moat, and case studies across agriculture, fintech and public services. Built for practitioners solving real problems on real budgets.
The lessons
- 1
Part 1 · 7 min
Rwanda Is Betting It Can Lead African AI Without Owning the Compute
Rwanda is first in Africa on AI policy, agency and summits, but the GPUs are going to South Africa, Egypt, Kenya, Morocco and Nigeria. Inside a small country's bet on governing AI instead of hosting it.
- 2
Part 2 · 7 min
Sierra Leone Is Writing Its First AI Strategy. The Minister Asked a Better Question Than Most Rich Countries Do.
MoCTI and the World Bank are building Sierra Leone's first National AI Strategy on a Compute, Capacity, Context diagnostic. The framing is genuinely good. The binding constraint is that 7 million Sierra Leoneans are offline.
- 3
Part 3 · 6 min
A 125M-Parameter Model for 11 Languages Is Not a Small Story
UCT researchers built an open corpus and a 125M-parameter decoder-only model covering all 11 official South African languages, nine of them low-resource. The corpus is the real contribution, and the size tells you why.
- 4
Part 4 · 9 min
Sunflower V2 Covers 67 African Languages. The Speech Results Are the Real Story.
Sunbird AI's Sunflower V2 expands from 31 Ugandan languages to 67 across Africa, with speech recognition for 51 languages at 0.227 macro word error on AfriVox-v2. Coverage is growing fast. Whether models know anything about Africa is still an open question.
- 5
Part 5 · 9 min
East Africa Just Approved a Shared AI Module for Every Degree. Adoption Is Still Voluntary.
On October 31, EAC ministers adopted a regional AI strategy and approved a foundational AI module for undergraduates across eight partner states. Partner states were told to consider adopting it. That word, consider, is the whole story so far.
- 6
Part 6 · 10 min
Sovereign AI Got Hardware This Week: Two Deals, Two Very Different Tests
Two announcements in two days put real hardware and real compute credits behind the word sovereign. One is a single enterprise stack in Johannesburg. The other is an allocation network across 53 countries. Neither published the numbers that would prove it works.
- 7
Part 7 · 9 min
Africa's AI Fortnight Was About Small Models and Speech Data. That Is the Point.
The World Bank's October advice and the work that actually shipped in the same fortnight point the same way: small models, local speech data, shared compute, and power before scale.
- 8
Part 8 · 14 min
Three Plans to Share Africa's AI Computing Power Landed in Six Days. The Hard Numbers Are Still Missing.
In six days, three separate proposals told African governments the same thing: do not build your own AI data centre, share the computing instead. One has $10 billion attached. One has no funding figure at all. One is a proposal between four countries.
- 9
Part 9 · 11 min
Korea Just Lent Tanzania $170 Million for AI. The Real Test Is Who Gets to Use It.
Korea Eximbank signed a $170M loan for an AI education centre in Tanzania, the first under the K-AI Package. Days earlier, USTDA put $1.87M into testing a $650M-$1B Nigeria data centre plan. Two financing models, one open question.







