Artificial Intelligence, Business Leadership & Why Africa Is Focusing On The Wrong Side Of The Conversation

Any keen observer of the conversation around Artificial Intelligence (AI) would have observed that the conversation on the modern-day disruption has moved very fast. Barely two years ago, many business leaders on the continent were content to just ask whether AI would become relevant to their organisations. Today, the question has changed. The new challenge is now whether business leaders understand it well enough to use it as a competitive advantage.

From where I stand, AI is the next platform upon which businesses, industries and economies will compete. Just as the internet disrupted commerce and mobile technology changed customer engagement, Artificial Intelligence is redefining how organisations make decisions, solve problems and ultimately create value.

For African businesses, this is an opportunity that we cannot afford to misunderstand. One of the biggest misconceptions I encounter is that AI is primarily about using tools like ChatGPT or automating repetitive tasks. Those applications are important, but they are only a small part of a much bigger story. Artificial Intelligence is fundamentally about building systems that can improve productivity, enhance decision-making and unlock new opportunities across every sector of the economy.

That is why I believe every CEO, executive and business owner should be paying close attention. AI is no longer an issue that can be delegated entirely to the technology department. It has become a boardroom conversation. The leaders who will thrive over the next decade will not necessarily be those who know how to write code. They will be those who understand how AI can reshape their organisations, strengthen their competitive position and prepare them for the future.

One reason I believe AI will become every African business leader’s competitive advantage is that leadership itself is changing. The role of today’s CEO extends far beyond just managing operations or reviewing financial reports. Leaders are increasingly expected to understand technological disruption and position their organisations accordingly.

That does not necessarily mean every executive must become an AI engineer. But it does mean every C-Suite executive must become AI literate. Business leaders should understand where AI can improve efficiency, enhance customer experience, support innovation and create entirely new revenue opportunities. Those who wait until AI becomes standard practice will likely discover that their competitors have already built big advantages. Learning about AI is no longer optional, it is becoming part of effective leadership.

The Wrong Side Of The Conversation

Over time, I have come to realize that have become used to talking too much about applications. As encouraging as the excitement around AI is, I believe Africa is focusing on the wrong side of the conversation.

Across the continent, we are enthusiastically adopting AI applications developed elsewhere. Businesses are integrating global AI tools into marketing, customer service, finance and operations. While that is necessary, it should not be the end of our ambition.

We are building on AI, but we are not investing enough in building AI. When people discuss Artificial Intelligence, the conversation often revolves around chatbots, content generation or automation. Very few conversations focus on the infrastructure that powers AI, and that includes the computing resources, semiconductor technology, cloud infrastructure, large-scale data centres, foundational models and research ecosystems that make these innovations possible.

That concerns me because history teaches us those countries and regions that control infrastructure often capture the greatest economic value during technological revolutions. We just cannot afford to have a repeat of history.

Indeed, during the Industrial Revolution, Africa supplied what historians have described as an unquantifiable quantity of raw materials that powered industrial growth across Europe, America and other parts of the world. Yet very little of the wealth generated by that revolution remained within Africa.

Unfortunately, today, I see uncomfortable similarities. Why is that? Africa contributes vast amounts of data that help train AI systems. We possess many of the critical minerals required for semiconductor manufacturing. Our young people contribute talent to technology companies around the world. Yet when it comes to the infrastructure, intellectual property and advanced technologies driving Artificial Intelligence, much of the value continues to be created outside the continent.

If we are not deliberate, history could repeat itself. This is why I believe Africa must begin investing beyond AI adoption and focus on AI creation. What we need is the ecosystem. Whenever I speak about AI, people often ask whether Africa has the technical capability to compete globally. My answer is always the same…absolutely.

Nigeria alone has produced exceptional software engineers, researchers, entrepreneurs and technology founders who are solving problems on a global scale. Across Kenya, South Africa, Rwanda, Egypt and other parts of the continent, similar stories continue to emerge.

I daresay that talent is not our biggest challenge. Our challenge is creating an ecosystem that enables that talent to flourish. We need greater investment in AI research, stronger university-industry collaboration, modern digital infrastructure, better access to computing power and policies that encourage innovation rather than discourage it.

Most importantly, we need governments to recognise AI as a national economic priority. Countries around the world are investing billions of dollars in AI infrastructure because they understand that tomorrow’s economic competitiveness will depend heavily on technological capability. Africa cannot afford to sit on the sidelines while others define the future.

Why We Need To Build The Future Instead of Importing It

Research from PwC estimates that Artificial Intelligence could contribute up to US$15.7 trillion to the global economy by 2030, while the Stanford AI Index continues to show accelerating investment in AI research, infrastructure and enterprise adoption across developed markets. These projections show the massive scale of the opportunity before us.

For Africa, however, success should not simply be measured by how many AI applications we import or how quickly we adopt technologies developed elsewhere. Success should be measured by how much value we create ourselves.

Can African researchers build globally relevant AI models? Can our startups develop AI products that solve local challenges while competing internationally? Can our universities produce world-class AI talent? Can governments create policies that encourage investment in AI infrastructure on the continent or even undertake these projects themselves? These are the questions that should occupy our attention.