Kenya has secured the 8th spot in Africa and 93rd place globally in the 2024 Oxford Insights Government AI Readiness Index, which measures countries’ preparedness to adopt and leverage artificial intelligence.
According to the report, a new white paper produced by Cisco in partnership with Carnegie Mellon University highlighted Africa’s readiness for AI.
The report noted that although AI adoption in Africa is still in its early stages compared to global leaders, recent years have seen remarkable progress.
“Countries such as South Africa, Nigeria, Kenya, and Ghana are spearheading AI implementation, leveraging these technologies to address local challenges in healthcare, agriculture, education, and governance,” read part of the report.
Nations Eyeing Ksh 17 Trillion by 2030
Additionally, the report stated that a recent study from Access Partnership estimates that AI could unlock up to Ksh 17 trillion ($136 billion) in economic value by 2030 across just four Sub-Saharan countries – Ghana, Kenya, Nigeria, and South Africa.
“A recent study from Access Partnership estimates that AI could unlock up to USD 136 billion in economic value by 2030 across just four Sub-Saharan countries – Ghana, Kenya, Nigeria, and South Africa,” read the report.
The whitepaper revealed that Kenya, South Africa, Nigeria, and Egypt are recognized as Africa’s leading digital hubs, already developing AI solutions to tackle challenges in healthcare, agriculture, education, and governance.
Despite this progress, the continent still lags in the global AI market. The report, however, highlights a promising future, noting that wider AI adoption could lift millions out of poverty.
According to the white paper, Africa currently represents just 2.5% of the global AI market, which was valued at USD 16.5 trillion in 2024.
“Currently, Africa accounts for only 2.5% of the global AI market, which was valued at USD16.5 trillion in 2024,” notes the white paper.
“Despite this modest share, recent estimates indicate that AI could boost Africa’s economy by USD2.9 trillion by 2030, equivalent to an annual gross domestic product (GDP) growth increase of three per cent. Such a boost could translate into substantial development gains for the continent, creating employment opportunities and lifting millions out of poverty.”
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Kenya Advances AI Education Integration
Further, the report notes that Kenya is integrating AI education into its national curricula, marking an important step toward preparing a future-ready workforce.
However, these initiatives need to be expanded through tailored public-private partnerships to reach underserved populations and updated regularly to keep pace with the rapidly evolving AI landscape.
“Kenya is embedding AI education within its national curricula.60 While these initiatives mark important progress, they must be expanded, through tailored public-private partnerships, to reach underserved populations and updated regularly to keep pace with the evolving AI landscape,” reads the Whitepaper.
Additionally, the report recommends that Curriculum innovation should introduce AI, coding, robotics, and data ethics across all levels, framing AI not just as a technical skill but as a tool applicable to every field—from agriculture to the arts.
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AI-Related Training
Technical and Vocational Education and Training (TVET) institutions should also embed AI-related training into their core programs.
These institutions are particularly suited to provide practical, job-ready skills in areas such as data labelling, chatbot support, and smart agriculture technologies, ensuring learners are prepared for emerging opportunities in Kenya’s AI ecosystem.
“Education reforms should focus on curriculum innovation that introduces AI, coding, robotics, and data ethics across all levels of education. AI must be framed not just as a technical field, but as a tool that touches every discipline, from agriculture to art. Technical and Vocational Education and Training (TVET) institutions should embed AI-related training in their core offerings. These institutions are well-suited to equip learners with practical, job-ready skills in data labelling, chatbot support, and smart agriculture technologies,” reads the report.
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