Beyond the Algorithm: Are We Ready to Act?

By Paul Nyausaru

Zimbabwean organisations have spent the past two years talking about artificial intelligence. Boardrooms cite it in strategy documents. Executives reference it in speeches. Yet for most organisations, that conversation has stalled at awareness. Very few have moved to action — a structured, governed, human-centred approach to actually adopting the technology. That gap, between knowing AI matters and knowing what to do about it, is where Zimbabwe’s competitiveness will be won or lost over the next five years.
The country is not short of direction. The National AI Strategy 2026–2030 sets out a clear national intent: to harness AI for economic transformation, in support of Vision 2030 and the National Development Strategy 2. But strategy documents do not adopt AI. Organisations do. And organisations are made up of people, processes, and leadership decisions — which is precisely why this remains as much an Organisation Development and Human Resources challenge as it is a technology one.
Awareness is not the hard part
Most executives today can describe, in general terms, why AI matters to their business. Fewer can answer the harder questions that follow: Who in the organisation is accountable for AI governance? What happens when an algorithm makes a decision that affects a customer or an employee unfairly? How does a company protect data and comply with emerging regulation while still moving fast enough to remain competitive? What happens to the people whose roles change because of automation, and who is responsible for leading them through that change well?
These are not questions technology alone can answer. They require governance frameworks, ethical clarity, and — perhaps most underappreciated — emotionally intelligent leadership. An organisation can have the most sophisticated AI tools available and still fail, if its people do not trust how those tools are being introduced, or if its leaders cannot manage the anxiety and disruption that technological change brings. The evidence from global AI adoption failures is consistent: the technology is rarely the point of failure. Leadership and governance usually are.
The standards question
There is also a quieter risk that deserves more attention than it currently gets: standards and compliance. Zimbabwe already has frameworks like ISO 42001 available as a reference point for AI governance, and institutions such as the Standards Association of Zimbabwe and data protection authorities are actively working through what responsible AI adoption looks like in practice. Organisations that treat this as someone else’s problem — a matter for regulators to sort out later — are taking on more risk than they realise. Waiting for enforcement before building governance is a strategy that tends to be expensive in hindsight.
What action actually requires
Moving from awareness to action does not require every organisation to become an AI company. It requires three more modest, achievable things: a basic governance framework appropriate to the organisation’s size and risk exposure; leadership capable of guiding people through the uncertainty that technological change brings, with honesty rather than hype; and a willingness to learn from others — regulators, industry peers, and sectors further along this journey — rather than working it out alone.
This is not a uniquely Zimbabwean challenge. Organisations across Africa are grappling with the same tension between the pace of technological change and the pace at which people, culture, and governance can responsibly adapt. But it is a challenge with a distinctly local dimension: the strength of Zimbabwe’s professional bodies, regulators, and academic institutions gives the country a genuine opportunity to get this right collaboratively, rather than each organisation figuring it out in isolation.
That collaborative instinct is, in fact, what is bringing together regulators, industry leaders, professional associations, and academia in Harare in October 2026, at the TEG–TMCC AI Symposium 2026, under the theme “Beyond the Algorithm: Leading Human-Centred, Future-Ready Organizations in the Age of AI.” Whatever comes of those two days, the underlying question will remain long after: not whether Zimbabwean organisations are aware of AI, but whether they are ready to act on it — deliberately, ethically, and with their people at the centre of the decision.
Paul Nyausaru is the Founder and Executive President, Talent Exchange Group (TEG)