Chukwuemeka Fred Agbata (CFA)

Now AI is making that knowledge cheaper to access. Universities that keep selling information instead of developing judgment, expertise and practical ability have a serious problem.

The idea that AI creates more jobs than it destroys is not a law of economics. It's a historical observation.

Companies keep talking about AI making employees ten times more productive. I'd like to see more of them explain what happens to wages when one employee can produce what previously required ten.

Some AI companies argue that they need to move quickly because another company or country might develop superintelligence first. That's a competitive concern. It doesn't answer the public safety question, and policymakers shouldn't confuse the two.

Here's what gets lost in the AI jobs debate: The first people affected may be the ones who haven't entered the workforce yet.

Productivity growth doesn't automatically mean workers share the gains.

If AI handles junior tasks, companies have fewer reasons to hire beginners. But where do tomorrow's experienced professionals come from?

I don't buy the argument that everyone displaced by AI should become an entrepreneur. A functioning economy needs more than founders. It needs people who can earn a decent living without taking business risks.

Telling everyone to start a company isn't an employment policy.

A business that uses AI only to cut staff may improve its margins. A competitor that uses the same technology to serve customers nobody could profitably serve before might create an entirely new market.

Cost reduction is the least imaginative part of AI adoption.

There's a problem with telling workers to keep reskilling: companies adopt new technology faster than education systems can redesign qualifications.

We need training tied to actual labour-market demand, not another wave of certificates promising relevance.

If AI makes accounting, customer service and software development dramatically cheaper, businesses benefit immediately. Workers don't automatically benefit at the same speed.

Governments that wait for unemployment statistics to deteriorate before responding are already late.

African governments should invest in the systems that turn scientific breakthroughs into lives saved.

An AI model can help discover a malaria treatment, but it cannot replace a broken drug supply chain. Patients still need clinics, trained health workers and affordable medicine.

Farmers don't need AI because it's fashionable. They need better information about rainfall, disease, soil and prices. If a tool cannot help them make better decisions or improve their earnings, putting AI in its name changes nothing.

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