Ghana is about to launch an AI strategy, but the real question is whether it will work for ordinary people or just sound good on paper.

Development Diaries reports that Ghana is set to officially unveil its National Artificial Intelligence Strategy on 24 April, 2026, after securing Cabinet approval for a ten-year plan.

In a region where many countries are still holding meetings about what AI even means, Ghana is already writing the rulebook.

But in this part of the world, we have seen enough launches to know that unveiling a plan is not the same thing as changing people’s lives, as governments are very good at cutting ribbons and making speeches.

The real test is what happens when the cameras go off and citizens are left alone with the policies. So the key focus is not whether Ghana has an AI strategy but who that strategy is actually designed for because if you read most policy documents, you will think every citizen is sitting in an air-conditioned office in Accra with stable internet, a smartphone, and a bank account.

The majority of Ghanaians are in the informal sector, traders in markets, smallholder farmers, artisans, transport workers, people whose daily hustle does not come with clean data or digital records.

Now imagine an AI system deciding who gets a loan based on digital transaction history; the market woman who deals mostly in cash is already at a disadvantage before the system even starts working.

The algorithm is not necessarily wicked, but it is built on data that does not fully see her, and when systems do not see you properly, they make decisions that can quietly push you further to the margins.

The same thing applies to farmers, as agricultural AI tools are being introduced to help with crop decisions and market timing. When that happens, it is not the software that loses money; it is the farmer who invested in seeds, time, and labour based on advice that cannot be questioned easily.

Then in the government itself, AI is already being considered for public services like tax systems, social benefits, and permits. On paper, this should make life easier, but in reality, if a system gets your data wrong or flags you incorrectly, the burden is on you to prove your innocence.

And for many citizens, especially those with limited literacy or access, challenging a machine can feel like arguing with a wall.

This is why any serious AI strategy must go beyond big grammar and answer simple questions. If an algorithm denies someone a loan, can they ask why? If a system makes a mistake, who fixes it? If harm is caused, who takes responsibility?

Another issue that cannot be ignored is gender. Across much of Africa, including Ghana, women are less likely to own smartphones, less likely to access the internet, and more likely to be excluded from digital systems.

Now imagine building an AI-powered future on top of that imbalance. It means the benefits will reach men faster, while women are left trying to catch up.

So if this strategy does not deliberately include women, not just in words but in funding, targets, and access, then it risks widening a gap that already exists.

There is also the bigger picture. Across the continent, there is a growing concern that African countries may end up simply following rules designed elsewhere. If that happens, then AI systems used in Africa will reflect other people’s realities, not African ones.

This is where coordination matters because if Ghana gets this right and works with regional bodies like African Union and ECOWAS, it could help shape an African voice in global AI governance.

If it does not, then it risks becoming another country implementing systems it did not design.

At the end of the day, the success of this strategy will not be measured by how many pages it has or how many conferences are held to discuss it. It will be measured by whether a trader can access fair credit, a farmer gets reliable advice, and an ordinary citizen can challenge a system that gets things wrong.