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Africanising technology – why AI must be built for the continent

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The narrative about Africa’s technological future often relies on the narrow assumption that the continent must “catch up” with global innovation. However, this framing misses a critical point: Africa has never simply consumed technology. We adapt it, reshape it, and increasingly originate it. This is the essence of Africanisation: designing and deploying technology to respond directly to the continent’s cultural nuances, economic realities, and local challenges.

Financial literacy – the growing gap between knowing and doing

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For decades, the conversation about inequality has centred on income, employment and access to capital. Those issues remain fundamental. However, another divide is becoming increasingly important: the gap between people who can navigate an increasingly complex financial world and those who cannot

The rise of AI colleagues – is AI becoming a favourite...

The traditional office social fabric is undergoing a profound psychological shift. Instead of walking down the corridor to bounce ideas off a colleague or venting to a teammate over coffee, workers increasingly turn to Artificial Intelligence (AI). They use it as their primary workplace confidant, sounding board, and creative partner.

AI chatbots and corporate liability – who takes responsibility?

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With the growing use of Artificial Intelligence (AI) and its integration into corporate systems, a key question arises: can a company be held responsible for misleading statements made by its AI chatbot to a customer? This issue arose in Moffatt vs Air Canada, a case concerning a refund for a bereavement fare. Although a Canadian small-claims tribunal decided the case in 2024, its ruling does not bind South African courts.

Enterprise APIs and AI agents – the readiness gap

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Enterprises love to call themselves Application Programming Interface (API)-first. However, almost none are ready for what is about to start calling those APIs. According to Postman's 2025 State of the API Report, 82% of organisations now describe themselves as API-first. It's a comfortable number to cite in a strategy deck. However, that number becomes far less comfortable when we ask what “API-first” was actually built to withstand.

Making AI speak our languages – technology rooted in local context

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When farmers take a photo of unfamiliar spots on a crop and ask a question on their phone, they’re not thinking about digital systems or models. Instead, they are looking for reassurance, guidance, and something they can act on before the problem spreads. Moments like these are becoming increasingly common as technology becomes a first stop for information and decision-making. This shift extends from the field to the clinic and the classroom. Yet whether that farmer gets a useful answer still often comes down to one simple factor: language.

Understanding quiet people – can AI help us see ourselves?

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From the Stoics and Ancient Egypt to Rome and Artificial Intelligence (AI), perhaps the greatest wisdom lies in learning to distinguish appearance from reality

AI and IP – the boardroom’s next governance challenge

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Artificial Intelligence (AI) is no longer something financial institutions are preparing for. It is already embedded in how decisions are made, how products are designed and how risk is managed. Whether through fraud detection, algorithmic trading, customer engagement or compliance monitoring, AI is steadily reshaping the financial services sector.

Consciousness and AI – what does it mean to be aware?

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From Ancient Egypt and the Stoics to Rome and Artificial Intelligence, humanity has never stopped asking what lies behind the extraordinary fact that we know we exist

Mission focus – does AI enable strategy or create distraction?

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Artificial Intelligence (AI) has moved quickly from novelty to everyday business infrastructure. It now sits inside email platforms, document systems, customer service channels, finance tools and analytics environments, influencing how decisions are prepared and how work gets done.

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