Will Ethiopia be part of the AI wave?
One of the world's youngest populations, more than 43 million mobile internet users, and a digital economy projected to add ETB 1.3 trillion to GDP by 2028. The constraint is not talent.
The numbers people quote about Ethiopian tech are genuinely large: mobile internet users past 43 million, one of the youngest populations on earth, and a digital economy projected to add ETB 1.3 trillion to GDP by 2028. What those numbers do not tell you is where the bottleneck actually sits.
It is not the talent
Ethiopian universities graduate engineers in volume, and the good ones are as capable as any we have worked alongside internationally. What is scarce is production experience with AI systems — the difference between prompting a model and running one inside a workflow that has to keep working when the inputs change.
What production AI actually requires
Where we think the opportunity is
Not in building foundation models locally. In applying them to problems that are unglamorous, document-heavy and specific to how business is actually done here: licensing, procurement, medical records, school administration. That work is not fashionable, and it is where the compounding value is.
The single most useful step is boring: get real production AI experience into the hands of engineers already here, on problems that matter, and publish what happens. That is why this journal exists.
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