Category: Blog

By Prof. Dr. James Mulli
Academic Dean, European Business University 

Thankfully Kenya is not starting from zero. It is starting from a position of strength.

Mobile penetration has already crossed saturation levels, with more active SIM cards than people and over 70 million devices connected to networks, translating to a penetration rate above 130%. Among young people aged 15-24, the data shows that a clear majority now own mobile phones, and a large share have smartphones and use social media daily. Kenya’s story is one of a mobile-native generation, deeply comfortable with digital platforms, payments, and communication.

This is precisely the kind of foundation that AI needs. Europe had to build digital habits and infrastructure over decades; Kenya already has them in its pocket and quite literally. The question is not whether Kenya’s youth are online. The question is whether they will use AI to transform their lives and their country, or simply consume what others create.

When we look closely at the European data a pattern emerges.

Across Europe, AI is no longer just a new gadget; it is an economic lever that is already moving real numbers. In one widely cited study of more than 5,000 customer‑support agents in a Fortune 500 firm, those with access to a generative‑AI assistant handled 13.8% more issues per hour and increased their successful resolution rate by about 1.3%, with the biggest gains over 30% seen among the least experienced staff. Other research on AI coding tools finds that developers using AI assistants complete routine coding tasks 20-40% faster, especially when generating boilerplate, tests, and documentation.

When you plug these kinds of improvements into macroeconomic models, the impact is non‑trivial. Economists estimate that generative AI alone may already be adding roughly 1 percentage point to productivity growth in advanced economies, on top of existing trends. That sounds small, but over a decade it means more output, higher wages for skilled workers, and greater fiscal space for governments that move early. This is why usage rates like Luxembourg’s 42.5% are starting to act as a proxy for future output: they tell you how many workers are learning to use “digital leverage” to do more with the same hour of time.

The real distinction, as you rightly note, is between shallow and deep AI usage. Someone asking a chatbot to summarise a news article counts as AI usage, but its impact is modest. A small business automating its invoicing, customer support responses, and basic marketing copy using AI is changing its cost structure and productivity. A software team that systematically uses AI for code generation, documentation, and test creation is not just “using AI”; it is compressing weeks of routine work into days and freeing engineers to focus on design and innovation

Perhaps most important for Kenya, the next divide is generational. Even where national usage is moderate, younger people are adopting AI tools far faster than older populations. That means the real gap will increasingly be within countries, not only between them. In a country like Kenya, with a predominantly young population, that generational tilt can be turned into a strategic asset, if it is guided.

To turn its demographic and mobile strengths into AI leadership, Kenya needs to move beyond rhetoric and into deliberate strategy built around its young population.

Here are some key steps that are within reach:

• Embed AI skills early
  From secondary school to TVETs and universities, AI literacy should not be a niche elective. It should be part of core digital education: data literacy, prompt design, basic coding, critical thinking about algorithms, and ethical use. EBUs TVET EUNI training Institute will be leaning in this direction. (https://eti.ebulux.lu/) 
• Shift from “using apps” to “building systems”
  Youth should be encouraged and trained to move from consumers of AI tools to creators of AI services, chatbots for county governments, decision-support tools for farmers, AI‑assisted diagnostics for clinics, and local-language tutoring systems.
• Back youth with ecosystems, not slogans
  Innovation hubs, incubators, and county-level digital labs should provide access to computing resources, mentorship, and real-world data (while respecting privacy) so young people can build tangible solutions, not just pitch decks.
• Use public policy to signal seriousness
  Just as Kenya created an enabling environment for mobile money, it can do the same for AI: regulatory sandboxes, clear data-protection rules, incentives for AI investment, and public procurement that favours locally built AI solutions for public services.
• Connect talent to global standards
  Kenyan youth must be trained not just to meet local needs, but to compete and collaborate globally, through remote work, global research projects, open‑source contributions, and industry-grade certifications.
• In customer service
  Kenyan telcos, banks, SACCOs, and e‑commerce firms could deploy AI assistants that help agents answer more queries per hour, with better consistency. Global studies suggest a realistic productivity gain of around 10-15%, with the largest jumps for junior staff. For a call centre employing 1,000 agents, that is the equivalent of hiring 100-150 extra people without adding a single desk.
• In small business operations
  Jua kali entrepreneurs, boda‑boda associations, and micro‑retailers can use AI to generate invoices, manage simple bookkeeping, draft contracts, and reply to customers on WhatsApp automatically. Each small task saved is minutes back in the day; scaled across millions of micro‑enterprises, it becomes a boost to national productivity.
• In software and digital services
  Kenyan developers already building for fintech, agritech, and logistics can use AI coding assistants to cut time spent on boilerplate code by up to 30–40% on routine tasks. That means a single developer can ship what previously required a small team, or a team can ship more features per release cycle.
• In research and knowledge work
  Policy analysts, journalists, lawyers, and academics can offload first‑draft research, document review, and summarisation to AI, turning days of desk work into hours and focusing human effort on judgment and local nuance. This matters in a country where public‑sector capacity is stretched and private‑sector professionals are time‑poor.

Once you see AI as a multiplier on every knowledge worker, the stakes for a young, service‑oriented economy like Kenya’s become clear. If Kenya gets this right, AI will not be an imported revolution; it will be a Kenyan-led reimagining of how African societies function in a digital age.

There is another layer to the Luxembourg story that matters for Kenya.

While Luxembourg is climbing the AI adoption charts, it is also investing heavily in AI-related education and skills. At the same time, the European Business University and European Business Institute in Luxembourg (EBU) have made a strategic bet on Kenya’s youth by offering large-scale online scholarships and programmes aimed particularly at African and Kenyan learners.

These institutions have already enrolled more than 30,000 students globally, with a significant share from Kenya, many of whom benefit from tuition‑free or heavily subsidised scholarships. Kenyan students have gained access to structured programmes in business, technology, and AI, often without the prohibitive costs that block access to international education.

Today, that commitment is deepening around AI and digital innovation. The European Business University and Institute in Luxembourg are focused on programmes such as the Certificate in Digital Intelligence and Technology Innovation, AI Professional Certificates, and a suite of “AI for Leaders” courses in finance, healthcare, business sustainability, and general management, alongside advanced modules like Deep Learning with TensorFlow, Natural Language Processing, and Introduction to Python with AI integration, as well as a Master’s in Data Science and AI. Through scholarships specifically extended to Kenyan learners, many students in Kenya have already benefited by gaining internationally recognised qualifications, industry-relevant AI skills, and direct exposure to how AI is being integrated into business and public policy in Europe.

In other words, the bridge between Luxembourg’s AI momentum and Kenya’s youth potential is not theoretical. It is already being built, student by student, course by course.

Short courses and media campaigns should focus on specific use‑cases “how to use AI to answer customer messages”, “how to write a tender”, “how to prepare tax records” rather than abstract AI theory. This is where the EBU Certificate in Digital Intelligence and Technology Innovation, AI for Leaders, and AI‑integrated Python courses become directly relevant to everyday work in Kenyan firms and institutions

The choice now sits squarely with Kenya’s young generation and its policymakers: will they treat AI as just another app on an already crowded phone, or as the defining capability that will determine Kenya’s place in the global economy over the next decade?

Luxembourg’s 42.5% AI usage is asking one question. Kenya’s answer will depend on whether its young people, armed with connectivity, creativity, and new educational pathways, decide not just to join the AI age but to lead it

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