AI Could Narrow Africa’s Investment Risk

Why this is here: Banks in Southern Africa are using AI to reduce false positives in transaction monitoring by 77%, allowing them to focus on genuine threats.

Nema Ramkhelawan-Bhana argues that artificial intelligence adoption in Africa could reduce the extra return investors demand for risk. By 2025, roughly 11% of workers in the Global South were already using generative AI, but a gap exists between the Global North and South. AI helps investors assess risk more accurately by processing large amounts of data—from satellite images to social media—leading to tighter pricing and lower borrowing costs.

In Nigeria, AI models like XGBoost now surpass traditional tools by including factors like oil prices and exchange rates. East African pilots use AI to quickly assess credit risk for small businesses, while banks in Southern Africa reduce false positives in transaction monitoring by 77%. These improvements build trust with global investors.

However, Africa faces challenges including poor infrastructure and a shortage of data professionals. The author stresses the need for regulation that balances innovation with oversight, and for a “human-in-the-loop” approach to avoid unintended consequences. Improved financial infrastructure could save African nations about $11 billion in borrowing costs over five years, but consistent implementation is key.