The Africa AI Language Model Project
A data-driven map of AI talent demand, supply, and the gap between them across 48 African countries.
Explore the data in the dashboard, read the executive brief, or open the full 171-page report.
Initiative
African AI / LLM Initiative
Workstream
Talent
Source report
171 pages
By the numbers
0
AI job postings analysed across the continent
0+
African AI research publications in 2025
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African AI repositories on GitHub
0%
of AI demand sits in five markets
Strategic priorities
01
Localised cloud and GPU clusters that reduce dependence on foreign infrastructure and protect data sovereignty.
10 regional compute centres · subsidised GPU access for 5,000 developers / year
02
Mandatory internships and applied placements that close the gap between graduate skills and job-ready talent.
50% of AI students complete industry internships by 2028 · 100 university partnerships
03
Innovation hubs, accelerators and project-based learning teach the practical skills classrooms don't.
100,000 AI practitioners trained through innovation hubs by 2030
04
Africa over-indexes on linguistic AI and under-invests in evaluation, MLOps and governance — the disciplines that make AI deployable at scale.
200% growth in evaluation, MLOps & governance specialists by 2030
05
Open-source communities build practical skills faster than any formal training programme.
10,000 African open-source contributors · 1,000 funded projects by 2030
06
Brain drain to Europe and the Gulf is hollowing out senior expertise. Diaspora engagement and remote-work programmes can reverse it.
Reconnect 25% of African AI professionals working abroad by 2035
07
Solutions for African agriculture, health, financial inclusion and local languages — so AI talent serves continental priorities first.
500 AI projects addressing African development challenges funded by 2030
Acknowledgements
Survey respondents
GSMA G6 and ecosystem partners








The dashboard for the data, the brief for the synthesis, the full report for methodology and country-level detail.