Louis Mondo-AI For Transformation
The success of Artificial Intelligence will not be measured by how widely it is adopted, but by how effectively it translates into tangible national value.
An AI algorithm is valuable only when it helps solve a real problem, improves a decision, strengthens productivity or makes people’s lives better. In an era of extraordinary excitement around AI, this distinction matters.
Artificial Intelligence has rapidly become one of the defining technologies of the modern era. Across the world, Governments are developing AI strategies, businesses are integrating intelligent systems into their operations, universities are expanding AI research and ordinary citizens are increasingly interacting with AI through smartphones, financial services, education platforms and digital applications.
The excitement is understandable. AI can analyse enormous volumes of data, identify patterns, support complex decisions and reveal insights that would previously have taken considerable time and human effort to discover.
Zimbabwe is increasingly positioning itself to participate meaningfully in this transformation. The launch of the National Artificial Intelligence Strategy 2026 – 2030 represents an important milestone in that journey.
Rather than presenting AI simply as another emerging technology to be adopted because the rest of the world is adopting it, the Strategy connects AI to national development priorities, including agriculture, healthcare, education, mining, manufacturing, financial services and public administration.
It is aligned with Vision 2030 and the country’s broader development agenda, demonstrating an important principle: technology must ultimately respond to national needs.
One idea should remain at the centre of Zimbabwe’s AI journey: AI is not a solution in search for a problem. Zimbabwe’s emerging approach increasingly reflects the opposite philosophy. The country is identifying developmental challenges and asking how AI, data and other digital technologies can contribute towards solving them. This is an important distinction because successful technological transformation should begin with the problem, not with the technology.
The National AI Strategy describes its approach as local-first and development-centred, while placing human dignity, inclusion, sovereignty and responsible innovation among its guiding principles. Its adoption agenda covers sectors where Zimbabwe faces real developmental opportunities and challenges, including food security, healthcare, education, mining, manufacturing, water, energy, financial services and public services.
This suggests that the emerging national conversation is moving beyond the question, “Where can Zimbabwe use AI?” towards the more important question, “Which national challenges can AI help Zimbabwe solve?”
Agriculture provides perhaps the clearest example. Zimbabwe does not need AI in agriculture merely because AI-powered agriculture has become a global trend.
The country has clearly identifiable challenges involving productivity, climate resilience, water management, food security, post-harvest losses and access to timely agricultural information. AI becomes valuable when it is directed towards these problems. NDS2, for example, provides for AI-enabled modernised grain silos capable of monitoring storage conditions such as temperature, moisture and pest activity.
This is an example of beginning with a national priority and then applying technology to it. The same philosophy can progressively transform other sectors.
Another encouraging feature of Zimbabwe’s approach to harnessing AI for national development is that the National AI Strategy recognises that meaningful AI adoption extends far beyond algorithms and technology alone.
AI needs infrastructure, skilled people, reliable data, research capacity, governance and institutions capable of converting technological possibilities into practical outcomes.
This is reflected in the strategy’s six pillars covering talent and capacity, infrastructure and computational sovereignty, adoption and service transformation, governance and ethics, research and innovation, and international collaboration.
This matters because AI cannot compensate for every weakness in an underlying system. An AI platform cannot irrigate a field without water infrastructure. A sophisticated healthcare algorithm cannot substitute for essential medical resources. An intelligent education platform cannot deliver its full potential where connectivity and digital skills remain inadequate. AI works best when it strengthens the broader ecosystem within which a problem exists.
Zimbabwe possesses an enormous national data heritage accumulated across agriculture, health, education, mining, climate, taxation, commerce, population administration and public institutions.
The starting point for unlocking the economic and social value of this data must be a clearly articulated national problem: what problem are we trying to solve? Once the problem is clearly defined, the country can determine what data is required, how it should be governed and integrated, and where AI can be meaningfully applied to deliver measurable national value.
In this way, AI becomes a purposeful instrument for solving real developmental challenges rather than technology adopted for its own sake.
This also explains why locally relevant AI matters. Many of the world’s leading AI systems have been trained predominantly on data generated outside Africa. They can provide tremendous value, but they cannot automatically be expected to understand every dimension of Zimbabwe’s languages, culture, agriculture, economic structures and institutional environment. A system developed for commercial agriculture elsewhere may not fully understand the realities of a Zimbabwean smallholder farmer. A financial algorithm trained predominantly on highly formalised economies may inadequately represent people operating within informal markets. A language model may communicate exceptionally well in English, but struggle with the contextual richness of Shona, Ndebele and other indigenous languages.
Zimbabwe’s National AI Strategy, therefore places appropriate emphasis on home-grown innovation, local context, cultural identity and technological sovereignty. Its stated vision is to develop Zimbabwe as a hub of inclusive and sustainable AI for development in Southern Africa, using home-grown innovation to create shared prosperity and elevate citizen dignity, a declaration of national will. That is an important orientation because Zimbabwe should not aspire merely to consume AI developed elsewhere.
It should increasingly develop the skills, datasets, research institutions and innovative enterprises required to create and adapt technologies around its own circumstances. Ultimately, the strongest measure of Zimbabwe’s AI progress will not be how many systems are described as artificial intelligence. It will be the value those systems create.
If AI is introduced in agriculture, are farmers becoming more productive and resilient?
If it is introduced in healthcare, are patients receiving better services? If it enters classrooms, are learners achieving better outcomes? If businesses adopt it, are they becoming more productive and competitive?
If Government deploys AI, are citizens receiving services faster and more conveniently? If policymakers use intelligent analytics, are national decisions becoming more informed and proactive?
These are the measures that will turn an AI strategy into national transformation.
The principle should remain simple: clearly define the problem, build the enabling ecosystem and then apply the right technology to solve it. Zimbabwe does not need AI simply because AI is transforming the world. It needs AI where it can help address real national priorities, improve public services, strengthen productivity, create opportunities and improve people’s lives.
Ultimately, the success of AI will not be measured by how much technology the country adopts, but by the difference that technology makes to the nation and its people.
The question should therefore never be, “Where can we use AI?” It should be, “What problem are we trying to solve, and can AI help us solve it better?” That is how AI moves from technological promise to national progress.
Louis Mondo is a Digital Transformation and AI Governance Expert
Email: [email protected]
