languages, cultures and education systems? What AI solutions can help farmers improve productivity, help small businesses access markets, help governments deliver services more efficiently, or help young people learn and create?
These are not simply technology questions. They are economic questions. If we remain primarily consumers of technologies developed elsewhere, much of the economic value will continue to sit elsewhere. But if we become creators, owners and exporters of technology, we begin to participate differently in the global economy.
That requires us to think beyond adoption. It requires investment. We need to nurture the young people who are experimenting today. We need stronger links between universities, industry, governments and entrepreneurs. We need investment capital willing to back ideas before they become obvious. We need environments where young Africans can build, fail, learn, rebuild and eventually scale.
And we need to recognise that innovation is not only happening in large technology companies or sophisticated laboratories. Sometimes it is happening in a classroom, a university dormitory, a small office, a garage or on a laptop in the hands of a young African who has identified a problem everyone else has learned to live with. We should be paying attention to these people.
The future will not simply be imported. It has to be nurtured. Africa has the talent. Africa has the problems that require innovation. Africa has demonstrated an extraordinary capacity to adapt, improvise and create. What we need is the ecosystem to turn that ingenuity into scalable technology.
Botswana, for example, is developing its AI ecosystem, with its National AI Policy at an advanced stage and institutions including BITRI, BIUST and the University of Botswana involved in research and pilot initiatives.
But policy is only one part of the equation. The bigger opportunity is to create an environment where the next generation does not simply learn how to use AI tools created elsewhere. They should learn how to build the tools themselves. That is how we move from being users of the future to being architects of it. And this is why investment in young people is not charity. It is economic strategy.
The African AI story should not be one of catching up. It should be one of creating. We should nurture the innovators already emerging across the continent and invest in the technologies they are building today— be cause some of those ideas may become the
83 MAL74 / 26 ISSUE platforms, companies and solutions that define Africa ' s next economic chapter.
The question is not whether Africa has innovative people. We do. The question is whether we are prepared to give them the capital, infrastructure, education, mentorship, markets and confidence to build at scale.
The Real Competitive Advantage Is AI Literacy
My own work in digital marketing and digital transformation has made me increasingly less interested in whether a technology is fashionable and more interested in whether it solves a real problem. Does it save time? Does it improve quality? Does it make something more accessible? Does it allow a small team to compete more effectively? Does it improve customer experience? Does it help people make better decisions? Does it solve a problem that genuinely needs solving?
Those are much more useful questions than whether something was created using the latest technology. I believe this is where the next competitive advantage will emerge. Not simply from access to AI. But from AI literacy.
Knowing what to delegate. Knowing what to verify. Knowing what data to protect. Knowing how to ask better questions. Knowing how to build repeatable systems around the technology. Knowing when the machine is wrong. And, perhaps most importantly, knowing when not to use AI at all. Access is becoming increasingly widespread. Competence will not be.
Africa Does Not Need More AI Hype
Africa has never suffered from a shortage of ideas. Our challenge has often been execution. AI will not solve that problem for us. But it can change the economics of execution.
We do not need businesses declaring themselves“ AI-powered” because they have added a chatbot to their website. We need businesses asking where technology can genuinely improve productivity, customer experience, decision-making and competitiveness.
We do not need young Africans believing that AI means they no longer have to learn. We need them learning faster, because they now have more powerful tools available to them.
We do not need professionals pretending AI does not exist. We need them understanding it well enough to know when it adds value- and when it does not.
And we certainly do not need businesses blindly trusting machines. We need humans who are sufficiently skilled to challenge them.
That, to me, is the real AI work ethic: Use the tool. Learn the tool. Question the tool. Verify the result. Improve the work. Own the outcome.
But perhaps there is an even bigger responsibility beyond how we use today ' s technology. We must ask what we are building for tomorrow. Because Africa should not measure its AI ambition by how quickly we adopt technologies created elsewhere. Our ambition should be to create technologies that the rest of the world wants to adopt.
The young African experimenting with AI today could be building tomorrow ' s platform. The student learning to code today could create a solution that transforms an industry. The entrepreneur solving a seemingly small local problem could eventually build something with global relevance.
That is why we must nurture innovation. That is why we must invest in our young people. That is why governments, businesses, universities, investors and industry leaders must create pathways for African ideas to move from experimentation to enterprise.
The future is not something Africa should simply wait for, import or react to. It is something we can build. And perhaps the most important question is no longer whether AI will change Africa. It will. The question is whether Africa will help shape what AI becomes.
The future will not belong to people who reject technology. Nor will it belong to people who blindly trust it. It will belong to those who understand how to combine better technology with better judgement, stronger skills with greater imagination, and innovation with investment.
Africa does not need another AI hype cycle. It needs an AI work ethic. And beyond that, it needs the courage to become a continent that does not merely use the future but builds it.
Thapelo Ashley Bathusi, is the Managing Director, Saffyre Brand Marketing based in Gaborone, Botswana. You can commune with her via email at: Ashley @ saffyrebrand. marketing.