Marketing
AI can increase output. It cannot manufacture relevance. And that may be one of the most important shifts coming to the marketing profession. The future marketer will need to be part strategist, part technologist, part editor and part cultural interpreter. The question will increasingly be less about: Can you make this? And more about: Do you know why this should exist?
Thapelo Ashley Bathusi
Marketing
Africa Does Not Need Another AI Hype Cycle. It Needs An AI Work Ethic!
There is a strange contradiction emerging in the African conversation about artificial intelligence. We are being told to digitise. To innovate. To become more productive. To build globally competitive businesses. To prepare our young people for the future of work.
Then someone uses AI to help produce the work, and suddenly the questions begin: Was this made by AI? Did you actually do the work? Is this legitimate? Isn ' t that taking a shortcut?
Perhaps we are asking the wrong question. The presence of AI in a piece of work does not tell us whether the work is good, ethical, strategic or valuable. The better question is: What did the human being using the technology actually contribute?
That distinction is going to matter enormously as Africa enters the next phase of the AI economy. Because Africa does not need another AI hype cycle. It needs an AI work ethic.
The New Question Is Not Whether AI Was Used
AI can draft a proposal. It does not know the politics of the room in which that proposal will be presented. It can generate an image. It does not automatically understand whether that image represents a brand, culture or audience appropriately. It
AI can increase output. It cannot manufacture relevance. And that may be one of the most important shifts coming to the marketing profession. The future marketer will need to be part strategist, part technologist, part editor and part cultural interpreter. The question will increasingly be less about: Can you make this? And more about: Do you know why this should exist?
80 MAL74 / 26 ISSUE can produce a campaign concept. It does not know whether the idea will resonate with a particular community. It can edit a film. It does not decide which story is worth telling. It can write code. It does not automatically make that code secure, scalable or fit for purpose. It can summarise research. It does not make the information accurate. And it can produce 50 marketing concepts in seconds. It still does not know which one is strategically right.
That is where the human being comes in. The technology can accelerate production. It can expand capacity. It can reduce repetitive work. It can help us move from idea to execution faster. But judgement remains human.
This is where I believe the conversation around AI needs to mature. We have started confusing the use of a tool with the absence of skill. I disagree with that thinking. A professional using AI responsibly is still doing professional work. In many cases, they are simply working with a more advanced set of tools. The tool does not remove the craft. It raises the value of knowing the craft.
Africa ' s Biggest AI Opportunity May Be Capacity
This becomes particularly important when we look at how many African businesses actually operate. A small-business owner can be managing director in the morning, salesperson at lunchtime, administrator in the afternoon and social media manager by evening. A five-person company may be competing for the same customers as a business with 50 or 500 employees. A founder may have a strong product and a compelling vision but lack the capital to employ a full marketing department, software team, researcher, designer, strategist and administrator.
This is where AI becomes more than a fashionable technology. It becomes a capacity multiplier. It can help a lean team prepare a first draft, analyse customer feedback, organise information, automate repetitive administration, explore creative directions, support software development and work through large amounts of information much faster.
The point is not that we suddenly need fewer talented people. The point is that we can potentially use scarce human talent differently. Instead of spending hours producing the first version, people can spend more time questioning it, improving it, contextualising it and making better decisions.
That distinction matters enormously in Africa. Where capital is limited, productivity becomes a competitive advantage. Where specialist skills are scarce, technology can extend the reach of the people who have them. Where small businesses are expected to compete with much larger organisations, capacity can determine who survives and who scales.
The African Development Bank has estimated that inclusive AI deployment could potentially generate up to US $ 1 trillion in additional GDP across Africa by 2035. That is a projection, not a guarantee. But it illustrates the scale of the economic opportunity now being discussed.
So perhaps the question for an African SME should no longer be: Can we afford to use AI? It should increasingly be: What could we do better if we became