By Magdalene Wanja - Reporter
Kenya, 11 June 2026 - As artificial intelligence reshapes workplaces across the world, a new initiative launched in Nairobi is seeking to prepare Kenyan youth for careers in an increasingly data-driven economy.
The KPC Foundation and Power Learn Project (PLP) have unveiled the Inuka Tech Fellowship, a fully sponsored training programme focused on artificial intelligence, data analytics, and operational technology. The initiative comes at a time when employers across Africa are struggling to find talent with the digital skills needed to support rapid technological transformation.
Launched at Nairobi's innovation hub, iHub, the fellowship is designed to bridge the gap between academic learning and industry expectations by offering participants practical exposure to real-world business challenges.
Unlike conventional classroom-based technology programmes, the fellowship adopts an apprenticeship-style model that combines technical instruction with workplace simulations, mentorship, collaborative projects, and industry engagement.
The programme's introduction reflects a broader shift taking place across the global labour market. Artificial intelligence is no longer confined to technology companies.
Businesses in sectors ranging from finance and healthcare to logistics, energy, and retail are increasingly integrating AI-powered tools into their operations, creating demand for professionals who can analyse data, automate processes, and generate business insights.
For many young Africans, however, access to industry-aligned digital training remains limited. While universities continue to produce graduates in technology-related disciplines, employers frequently cite a lack of practical experience and workplace readiness among job seekers.
"The challenge is no longer simply teaching technology. It is ensuring young people can apply those skills to solve real business problems," said Mumbi Ndung'u, Founder and Executive Director of Power Learn Project Africa, during the launch.
The 12-week fellowship aims to address that challenge through intensive training in Python programming, machine learning, data storytelling, dashboard development, automation, and business analytics. Participants will work on projects that mirror real industry scenarios, helping them develop analytical and problem-solving skills that can be applied across multiple sectors.
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The timing of the initiative aligns with growing projections about AI's economic impact. Global consulting firm PwC estimates that artificial intelligence could contribute as much as $15.7 trillion to the world economy by 2030, while organisations such as the World Economic Forum predict significant changes to workforce requirements as automation and intelligent systems become more widespread.
For Kenya, which continues to position itself as a regional technology hub, developing a workforce capable of supporting AI-driven innovation is increasingly becoming an economic priority. Industry leaders argue that the country's competitiveness will depend not only on access to technology but also on the availability of talent capable of deploying and managing it.
Carol Kiplagat, a member of the KPC Foundation Board of Trustees, said partnerships between industry and training institutions will play a critical role in preparing young people for the future of work.
"The future workforce will require a combination of digital capability, analytical thinking, and adaptability. Programmes such as the Inuka Tech Fellowship are important because they help young people transition from learning into meaningful employment while supporting sectors that urgently need digital talent," she said.
The inaugural cohort will admit 30 participants, targeting recent graduates in fields such as computer science, information technology, statistics, and related disciplines. Applicants are expected to have foundational programming knowledge, although prior professional experience is not required.
Beyond technical training, fellows will gain access to PLP's Talent Hub ecosystem, which connects graduates to employment opportunities, internships, and professional networks. Organisers say the programme is intended to create a direct pathway into emerging careers such as business intelligence analysis, operational data analytics, predictive analytics, and digital transformation support.
As artificial intelligence continues to influence how businesses operate, initiatives focused on practical digital skills development are likely to become increasingly important. For many young Kenyans entering the labour market, programmes such as the Inuka Tech Fellowship could provide a critical bridge between education and the opportunities emerging in the digital economy.