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A Leadership-First Approach To Building AI Fluency
Kenya stands on the cusp of a bold new digital era. Already renowned as a hub of tech innovation with its booming young developer community and nearly 2 million Kenyans already engaged in digital work, the country is set to reap the rewards of the global digital economy.
AI is a strategic imperative for the competitiveness and resilience that companies must adopt. Many organisations are investing in AI tools, but often neglect the human capability to fully leverage them to realise value. However, the ability to effectively understand, use and apply AI tools in daily work is critical – this is termed AI fluency. To deliver lasting value, business leaders, creators and entrepreneurs in organisations of all sizes must build AI fluency across the workforce.
Building AI fluency isn’t about turning every employee into a tech expert. Rather, it’s about equipping every member of an organisation with operational fluency – the ability to interact with AI systems effectively, whether through text, voice or other modalities. This includes how to phrase prompts, interpret outputs and integrate AI into daily tasks.
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Another essential skill is critical literacy – the discernment to evaluate AI outputs, recognising if they are incomplete, misleading or biased. This requires the cross-checking of information, questioning assumptions and understanding the probabilistic nature of machine learning. And finally, ethical awareness – the capacity to navigate the moral dimensions of AI use. This includes respecting privacy, avoiding harmful applications and recognising the broader societal implications of delegating decisions to machines.
Without this AI fluency, organisations risk underusing their AI investments, mismanaging the risks and falling behind their competitors. Organisations hoping to thrive in the digital economy should adopt a three-tiered training approach, targeting leaders, developers and end users. It starts at the top.
Beyond technical skills, leaders must be at the forefront of understanding AI’s potential, its limitations, ethical implications and how their investments will align with their business goals to ensure that business applications will benefit their competitiveness and resilience.
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Leaders have a critical role to play in driving adoption, managing resistance to change, and fostering trust within the organisation. They must have confidence in the choices they are making in the tools they introduce and ensure that the necessary training and knowledge are embedded across the entire organisation. Without this fluency, regardless of the capacity for practical application of AI tools, AI-led initiatives are likely to stall or misfire.
To nurture AI fluency, leaders must invest in skills development and training programs, not just for their workforce, but for themselves. The Kenya AI Skilling Alliance (KAISA), Kenya Private Sector Alliance (KEPSA) and Fastlane are offering targeted AI and cybersecurity training for organisational leaders and roles in Finance, Legal, HR, and Marketing. Their programs also serve sectors such as Banking and Education. The Fastlane Initiative now provides industry-specific skilling, delivering AI tools and knowledge to help professionals in their daily work. To date, these initiatives have trained over 70,000 organisational leaders, professionals and SMEs.
This knowledge cannot be constrained to an organisation’s leadership – it must cascade through middle management to frontline employees. Each of these layers requires AI fluency to confidently navigate, understand and use the tools at their disposal.
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For Kenya to deliver on its digital economy ambitions, AI skills must move beyond the basics. Basic digital services, such as data entry and customer service, are at a high risk of automation. To mitigate the impact of this, skilling efforts must progress up the AI value chain to higher-value areas such as AI development, cybersecurity, software engineering, strategic advisory and tech entrepreneurship. This shift requires significant investment in advanced digital skills, industry partnerships and institutional capacity-building.
Developers play a key role in enabling Kenyans to become not just consumers of AI, but producers, providing the wherewithal to build AI tools and grow the digital economy in the country. Microsoft’s Africa Development Centre in Nairobi plays a central role in enabling Kenyan developers to work on a global‑scale on AI and cloud products, while the partnerships with Zindi and the Power Learn Project provide AI training, advanced certification pathways in software development, data science and AI certification pathways and industry alignment.
Practical enablement is essential – providing hands-on tools, use cases and examples of cross-functional collaboration. As AI continues to evolve at speed, a culture of continuous learning must be embedded across employee strata and functions. Those employees who display curiosity and adaptability will fare the best.
Recognising that the Kenyan Government is partnering with the private sector to drive advancement, for example, the Teachers Service Commission (TSC) has trained more than 100,000 educators with AI skills. The Kenyan Government, in partnership with UNDP, is equipping civil servants with digital and AI skills to support national transformation. CEOs across the public sector have upskilled with AI knowledge, and over 30,000 public servants have received training on AI fluency. Microsoft is also working with partners across industries to provide AI training for specific professions and to ensure that the existing workforce can leverage AI to increase their productivity.
There is a good reason for organisations to embrace AI fluency. Recent research from Harvard Business Publishing Corporate Learning found that AI-fluent employees differentiate themselves by engaging in experimentation. They don’t just study AI – they engage with it actively. AI-fluent respondents were far more likely to report stronger outcomes at both the individual and team levels. Among them, 81% said they were more productive, 54% were more creative, and 53% were better prepared to solve complex business challenges. AI-fluent employees combine these skills with human skills such as critical thinking, problem-solving, adaptability and creativity to become more productive, efficient and accurate.
The message is clear – technology alone cannot drive progress. To ensure that AI becomes a transformative force for innovation, productivity, and inclusive growth, people must be empowered with the skills to use technology for the country to benefit, while remaining mindful of the principles of data privacy, ethical use of AI and the importance of human oversight. Kenya’s ambition to become Africa’s AI talent hub will only be realized through deliberate investment in skills development, and a focused drive to introduce AI fluency throughout the economy.
Winnie Karanu is the AI Skills Director, Microsoft Elevate