When people hear “Artificial Intelligence,” many imagine robots, high-tech labs, or Silicon Valley. But the World Bank says the real AI revolution for developing countries including Ghana will look very different: simple, affordable tools that solve everyday problems.
In its latest Digital Progress and Trends Report 2025, the World Bank stresses that AI can help farmers predict rainfall, help teachers track student progress, and help small shops manage inventory all through basic applications that run on ordinary smartphones.
This shift toward “everyday AI” or Small AI is already taking root across low- and middle-income countries.
But for AI to truly improve lives, the World Bank says developing countries need strong foundations: reliable internet and electricity, access to computing power, good data systems, and digital skills for the workforce. Without these pillars, what the Bank calls the ‘four Cs,’ countries risk falling behind.
Connectivity is the first and most fundamental requirement. Without stable electricity and reliable broadband, AI-enabled services cannot reach schools, farms, clinics, or community businesses. Many rural areas still face power cuts and weak internet coverage, making the simplest digital services difficult to use. Strengthening connectivity from electricity grids to fibre networks ensures that AI reaches everyone, not just city dwellers.
The second foundation is compute: the systems that power AI. This includes data centres, cloud services and even the processing chips inside smartphones. In many developing countries, these resources are either too costly or too limited to support widespread AI adoption. The World Bank highlights that shared regional data centres, cloud partnerships, and affordable access to computing resources will help governments, schools, hospitals and small businesses run AI tools efficiently and at lower cost.
The third foundation, context, refers to the availability of local data. AI systems are only as useful as the information fed into them. Countries need strong data systems to generate accurate agricultural forecasts, track disease outbreaks, understand student performance, or support business growth. Weak or inconsistent data leads to poor predictions and unreliable tools. The Bank is therefore helping governments improve data governance, strengthen statistical systems, and build trust so that citizens and institutions can share information safely and confidently.
Competency: the human skills needed to adopt and adapt AI is the pillar that ties everything together. The World Bank notes that without widespread digital and analytical skills, countries will remain dependent on imported expertise and foreign-made solutions. Building competency means training teachers, health workers, farmers, entrepreneurs, civil servants and students to understand and use AI responsibly. It also means nurturing local innovators who can create homegrown solutions for African priorities.
The World Bank emphasises that its commitment goes far beyond financing infrastructure. It is supporting countries to develop clear policies that protect data, promote fair competition, and ensure that AI’s benefits are distributed widely across society. It is also helping governments design programmes that encourage local innovation, support startups, and align AI tools with community needs rather than imposing generic global models.
For Ghana and similar economies, this deeper push means AI could become a powerful driver of economic transformation from improving cocoa yields and boosting SME productivity to enhancing healthcare and delivering personalised education. But these results will only materialise if the foundational systems are strengthened.
