MORE than a century ago, electricity transformed the world in ways few people fully understood at the time. Initially, it was a scientific curiosity with limited uses.
Then factories adopted electric motors, cities installed street lighting, and homes welcomed appliances that revolutionised daily life. Gradually, electricity became so essential that modern society could no longer function without it.
Today, a similar transformation is unfolding, not through wires and bulbs, but through algorithms and data. Artificial intelligence is quietly becoming the new infrastructure of the digital age, much like electricity once was.
This shift may not be as visible as the lighting of the first electric streetlamp, but its long-term effects could be just as profound, even for countries such as Zimbabwe.
From tool to infrastructure
In its early years, artificial intelligence was mainly a specialised tool. Businesses used it for tasks such as analysing customer behaviour or detecting fraud, and universities experimented with machine learning models.
To many, AI remained distant and technical. That perception is changing. AI is now built into everyday systems, becoming part of the background, working quietly behind mobile apps, financial systems, healthcare tools, and communication platforms. This transition mirrors the evolution of electricity.
At first, electricity powered individual machines. Later, industries were designed around it. Today, we rarely think about electricity until it disappears. The same may soon be true of artificial intelligence.
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Already, many digital services rely on AI in ways users hardly notice. Email platforms filter unwanted messages, mobile phones use AI to improve voice recognition, and online services analyse behaviour to provide recommendations and detect suspicious activity. AI is no longer something we occasionally use. It is becoming something we constantly depend on.
Zim’s quiet AI transformation
Zimbabwe, like many developing nations, is experiencing the early stages of this transformation, often without recognising it as artificial intelligence. Consider mobile banking and digital payment platforms.
Systems that monitor transactions and flag suspicious activity increasingly rely on AI-driven analytics, improving security while reducing manual oversight.
In agriculture, weather forecasting tools and satellite-based monitoring systems now use AI to interpret environmental data, enabling farmers to make better decisions about planting and crop management.
Telecommunications providers are adopting intelligent systems to manage network performance, predict faults, and optimise service delivery. What once required constant human monitoring can now be handled by automated analysis.
These developments may appear routine, but they signal a deeper shift. AI is moving into the foundation of digital operations, just as electricity moved into the foundation of industrial activity.
Invisible infrastructure
One of the defining features of electricity is that it became invisible infrastructure. We do not see electricity moving through wires, yet its presence powers homes, hospitals, factories, and schools. Artificial intelligence is following the same path.
Unlike earlier technologies with visible machines, AI works behind screens, processing data and generating predictions without drawing attention to itself. This invisibility makes AI both powerful and easy to underestimate.
When electricity first arrived, many saw it as optional. Over time, it became indispensable. Businesses that failed to adopt electric power fell behind competitors. A similar pattern is emerging with AI.
Companies that integrate intelligent systems gain advantages in efficiency and responsiveness. Those that delay risk losing competitiveness.
Opportunities for economic growth
If artificial intelligence is becoming the new electricity, then access to AI will shape economic growth just as access to power does. Countries with strong digital infrastructure will benefit most. For Zimbabwe, this presents significant opportunities.
Financial institutions can use AI to expand services, especially in rural areas where traditional banking infrastructure is limited. Automated systems can process applications, verify data, and detect risks more efficiently.
In agriculture, intelligent forecasting can help farmers manage resources more effectively, improving yields and reducing losses caused by unpredictable weather.
In healthcare, AI-powered diagnostic tools could assist in identifying diseases earlier, particularly where specialist expertise is scarce.
Education systems could also benefit. AI-powered learning platforms can personalise content, helping students learn at their own pace and supporting teachers with data-driven insights. These examples show how AI could support national development beyond technology itself.
However, the comparison with electricity highlights a major challenge. Electricity requires stable infrastructure. Artificial intelligence, too, needs reliable internet connectivity, secure data storage, computing capacity, and skilled personnel. For Zimbabwe and similar economies, this raises important questions about readiness.
Is the digital infrastructure strong enough to support large-scale AI adoption? Are educational institutions preparing students for an AI-enabled future? Are organisations investing in systems that will remain relevant as technology evolves? These questions need careful planning and long-term investment.
As artificial intelligence becomes embedded in critical systems, trust is essential. Electricity transformed society because it became dependable. AI must achieve similar reliability.
Systems making decisions in finance, healthcare, and public services must be transparent and accountable. Errors in automated systems can have wide-reaching consequences. Organisations must maintain human oversight, establish clear policies, and ensure responsible use.
Preparing for an AI-powered future
The transformation of electricity reshaped industries and improved standards of living. Artificial intelligence has the potential to do the same. However, the benefits of infrastructure require preparation.
Businesses must consider how AI fits into their operations. Governments must support responsible innovation. Educational institutions must equip learners with relevant skills. Individuals must also adapt, learning to use intelligent systems wisely.
The story of electricity reminds us that infrastructure shapes the future in quiet but powerful ways. Once established, it changes how societies function, how businesses operate, and how people live. Artificial intelligence is following a similar trajectory.
What began as a specialised tool is becoming a foundational system supporting modern life.
For Zimbabwe and many developing nations, the opportunity lies in recognising this shift early and preparing for it thoughtfully.
Artificial intelligence may not arrive with the dramatic glow of electric light, but its influence could be just as transformative. The question for organisations and policymakers is not whether AI will become essential infrastructure, but how ready we are when it does.
Bangure is a technology analyst based in the UK, where he examines the impact of emerging technologies on economies and societies. With extensive experience as a newspaper production manager and media executive, coupled with formal training in data analytics and artificial intelligence, he effectively integrates technological expertise with strategic insight. — [email protected].
