There are few Zimbabweans better placed to comment on technological disruption than Trevor Ncube. So when he speaks about the sweeping impact artificial intelligence will have across economic sectors, it is worth listening. He witnessed, in real time and in public, how the digital revolution dismantled the traditional news business model that had sustained media houses for decades. Classifieds migrated online. Advertising fragmented. Attention atomised. News became instant, abundant and algorithmically distributed. If anyone understands how swiftly technology can erode once-stable professions, it is him. And on one central point, he is absolutely correct: knowledge-work is exposed, and denial is fatal.
But Zimbabwe’s larger story goes even deeper. Artificial intelligence will not simply disrupt services; it will reorganise the real economy itself. It will not stop at lawyers, bankers, accountants or property agents. It will reach creatives, coders, farmers, miners, logistics operators and even the AI industry itself. This is not a sectoral tremor. It is a structural shift.
Generative AI is already compressing the price of routine creativity. Design, copywriting, music production and video editing are becoming easy and abundant. The premium is shifting from production to ownership of distribution, brand, audience and community. The same is true in software development. Coding is increasingly assisted and partially automated. The durable advantage will not lie in writing code alone, but in owning platforms, proprietary data, intellectual property and as he correctly pointed out – customer relationships.
Yet for all its power, AI cannot fabricate scarcity. It cannot conjure fertile soil, water rights, lithium-bearing ore bodies or platinum seams out of thin air. It can model them, optimise them and price them with greater efficiency. But it cannot invent them.
That is why the strategic posture for Zimbabwe in this age is clear. Own what is finite. Own what is immovable. Own what is defensible. Then run it with data discipline and AI-enabled execution. That is how you anchor yourself in something artificial intelligence cannot replace, while still competing in a world it will increasingly optimise.
This is where policy urgency becomes economic necessity. The Land Tenure Implementation Committee must accelerate the issuance of bankable, enforceable title deeds. Land without secure, transferable title is dead capital. Land with title becomes leverage. It becomes collateral. It unlocks financing, partnerships, equipment modernisation and technological adoption. In an AI revolution already underway, the difference between titled and untitled land is the difference between participating in modernisation and standing outside it.
Secure tenure gives farmers the confidence to invest in irrigation systems, soil analytics, yield optimisation software and precision agriculture. AI will increasingly guide planting schedules, input efficiency, pest forecasting and market timing. But these technologies require capital. Capital requires security. Security requires title.
The same logic applies to mining, and here the imperative is even more active. The intelligent Zimbabwean businessperson should not passively admire mineral wealth. They should be actively exploring, applying for and securing mining claims, particularly in rare and strategic minerals that underpin electric vehicles, batteries, renewable energy systems and digital infrastructure. Lithium, platinum group metals, chrome, gold and emerging rare earth opportunities are not slogans. They are strategic leverage in a reorganising global economy.
But securing a claim is only the beginning. Claims must be lawful, transparent, compliant and technically validated. A paper claim without geological assessment and operational capacity is speculation. A properly structured, financeable and data-driven mining operation is strategy. AI will reshape exploration through predictive geological modelling. It will influence pricing through real-time market intelligence. It will expose inefficiencies and compress margins. Only disciplined, technologically enabled operators will thrive.
In agriculture and mining alike, possession without productivity is vulnerability. Assets must be professionally managed, vertically integrated where possible, and supported by robust data systems. Production must link to processing. Extraction must link to beneficiation. Ownership must link to execution.
Artificial intelligence will disrupt Zimbabwe. That is not in doubt. The question is whether we respond reactively or strategically. If we secure land tenure, formalise and actively pursue mining rights, professionalise management and embed data systems early, we transform disruption into advantage.
Technology destroyed parts of the old media world. It will dismantle complacency elsewhere too. But it also rewards foresight. Secure the land. Secure the claims. Adopt the tools. Master the data.
That is not alarmism. It is long-term strategy in the age of artificial intelligence.
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