newsSharing information is the key to success of AI in Zimbabwe
Young Africans are anxious to enter the new world opening up to them thanks to AI. But will those who control the flow of information abandon their old instinct to shoot the messenger when the news is bad?
Zimbabwe has unveiled a National Artificial Intelligence Strategy (NAIS) for 2026-2030 and the promise is familiar. AI is to modernise government, lift productivity, improve public services and help drive economic growth. It is the language of arrival. A country does not merely govern anymore; it innovates, it transforms, and it harnesses. All very splendid stuff, but sadly, NAIS is given amid possible political instability and widespread popular discontent with proposed constitutional amendments; clearly never blessed by AI groupthink. Special correspondent ANDREW FIELD reports-
There is nothing foolish in wanting artificial intelligence. Zimbabwe is right to be thinking about it. So is the rest of Southern Africa. AI is not a bauble for rich nations to admire in shop windows. It has real uses in medicine, agriculture, logistics, education, anti-corruption, fraud detection, and routine administration. In countries where skills are scarce and systems are weak, the attraction is obvious. Machines do not drift off to attend to their own business, nor get tired, talk back, or disappear for two hours after lunch.
But artificial intelligence has one awkward habit. It feeds on data, not speeches, launch ceremonies, or strategic visions. Data and large volumes of it, good quality, timely, comparable, and unvarnished statistics/data. Global data that can move across borders and between institutions without censorship, or first having to pass through ten desks, three signatures and a political filter. That is where the Zimbabwean dream meets the Zimbabwean state.
There is another complication. Zimbabwe has correctly armed itself with privacy and data protection rules that can, in the wrong hands, become a brake on access. Proper privacy law is necessary. No sane person wants medical, financial or biometric data scattered to the winds. But in a state already inclined to control information, privacy can become a respectable excuse for closure. The danger is not that citizens are protected. The danger is that officialdom starts using the language of protection to keep data scarce, awkward and politically manageable. AI may be invited to dinner, only to discover the pantry is locked.
A government that wants to use AI seriously must become legible to itself. It must know what is happening in its own economy with some accuracy. It must gather information consistently, share it sensibly and trust its own systems enough to let them talk to one another. In short, it must be more transparent. That is not a technical matter. It is a cultural one. It is also a political one. Zimbabwe does not have a particularly happy relationship with transparency.
The official line, of course, is that stability has returned. The Reserve Bank speaks of exchange rate stability and low inflation. The IMF, in its 2025 mission statements, noted a degree of macroeconomic stability following the launch of the ZiG. Were they being polite? It also called for a more transparent price-setting mechanism in the willing-buyer, willing-seller market. The IMF also said the RBZ’s foreign exchange interventions should focus on managing excessive volatility rather than distorting the market. That is diplomatic language. In plain English, stability is more persuasive when people can clearly see how the price is formed.
Take the exchange rate. Reuters reported in June 2025 that the central bank said the ZiG had more than 100 per cent reserve cover and was stable, but investor doubts persisted, and the parallel market (rumour rate) premium remained a visible sign that credibility had not been fully won. A stable official rate is one thing. A trusted rate is another. Markets are vulgar creatures. They tend to notice the difference.
The same unease applies to inflation. Official data show annual inflation remaining low by Zimbabwean standards, with ZIMSTAT-sourced figures showing 4.4 per cent in March 2026. Perhaps that is entirely fair. Perhaps it is not. The point is that once credibility has been damaged over many years, every calm number invites a raised eyebrow. In Zimbabwe, statistics do not arrive in a vacuum; they arrive trailing history.
Now here is the danger. When AI does not know the answer, it hallucinates. It fills the gap with something that sounds plausible, polished and confident, but is wrong. States can do much the same. They produce a version of reality that is tidy, reassuring and politically useful. Feed that into a machine and the result is not intelligence. It is automated delusion.
One digresses a little, but this is where the AI story becomes interesting. Zimbabwe wants the prestige of digital modernity while maintaining an old instinct for controlled information. It wants the machine, but not necessarily the openness the machine requires. It wants AI to make sense of the economy, but it also wants to preserve a sovereignty narrative in which critical indicators appear reassuringly calm. That may be politically useful. It is less useful if one is trying to build intelligent systems on top of them. Are we seeing just another façade evolving?
That matters because artificial intelligence is brutally literal. Feed it compromised, selective or politically convenient data and it will still produce outputs. They will merely be clever looking answers built on sand. Bad data plus expensive computing power is still bad data. The machine may speak with confidence, but confidence has never been in short supply in Harare.
There is a deeper irony here. Governments like AI because it suggests efficiency. Yet genuine efficiency exposes inefficiency. Once systems begin to integrate, discrepancies appear. Missing data stand out. Contradictions between agencies become visible. Leakages become easier to trace. Waste becomes measurable. If properly used, AI is not merely a servant of administration. It is also a potential witness against it. One can see why that might make officialdom slightly uncomfortable.
Can ministries share the information that make AI meaningful and profitable? That’s the key question facing Zimbabweans in 2026.
Zimbabwe’s problem is therefore not whether it can write an AI strategy. It plainly can. The problem is whether it can create the informational conditions in which that strategy means anything. Can ministries share data honestly? Can statistics be produced in forms that outsiders can trust? Can exchange rate information be accepted without the market sniggering into its sleeve? Can inflation figures persuade households whose lived experience is rather more forensic than the press release? These are not small questions. They are the whole question.
There is also a regional angle worth watching. Southern African governments are increasingly speaking the language of AI, ethics, innovation and sovereignty. They are right to do so. Nobody sensible wants Africa to become merely a consumer of imported intelligence, with the value extracted elsewhere and the risks left at home. But sovereignty has become a fashionable word, and fashionable words often do too much work. Sovereignty can mean building local capacity, protecting citizens and keeping strategic control over data. It can also mean limiting scrutiny, centralising access and wrapping administrative opacity in patriotic cloth.
Zimbabwe sits squarely inside that contradiction. It wants to be seen as modern, sovereign and technologically ambitious. It also wants to retain control over the flow and interpretation of information. That may be manageable in ordinary politics. It is far harder in the age of AI. Artificial intelligence requires not just data but trusted data free of political illusions. It requires not just systems, but systems that can be audited, tested and believed.
That is the sting in the tail. To make AI work, Zimbabwe may have to become more open about the very things it prefers to choreograph. It may have to accept that credibility cannot be commanded. It has to be earned. A central bank can insist that a currency is stable. A statistics agency can publish a tidy inflation number. But if the wider economy, investors and ordinary citizens suspect that the figures serve a political need as much as an economic truth, then the foundations of intelligent policymaking remain weak.
Zimbabwe’s new NAIS sounds nice enough. The trouble is that artificial intelligence fed on politically choreographed statistics is not intelligence at all. It is automation wearing a blindfold. And so the grand strategy arrives, carrying an old Zimbabwean problem in a new digital wrapper. The country wants artificial intelligence to help direct the future. Fair enough, but artificial intelligence is not flattered by slogans. It needs facts, integrity in measurement and openness in systems. It wants a state that is prepared to be known.
That, in Zimbabwe, may prove the most difficult innovation of all.
Guest writer, Andrew Field, is the founder and author of the chronicle South of the African Equator and photoblog Simply Wild Photography