AI Is Quietly Controlling Who Can Access Loans And who Is Left Out In Kenya

By Ruth Moraa 

Access to loans in Kenya is changing rapidly due to the use of technology. Many financial institutions and mobile lending platforms are now using artificial intelligence to decide who qualifies for loans. Instead of relying on human judgment, these systems analyze data to make quick decisions.

Artificial intelligence works by collecting and studying information such as mobile money transactions, spending habits, savings patterns, and repayment history. Based on this data, it gives each person a score. This score determines whether someone can get a loan, how much they can borrow, and the interest they will pay.

This system has made borrowing easier for many people, especially those without formal employment or traditional bank accounts. Loans can now be approved within minutes through mobile phones, making the process fast and convenient. For many Kenyans, this has opened new opportunities to start small businesses or manage emergencies.

However, there are growing concerns about how these decisions are made. Many users do not understand how the systems work or why they are denied loans. This lack of transparency creates confusion and frustration. People may feel unfairly treated but have no clear way to challenge the decision.

There is also the risk of errors. If the data used is incorrect or incomplete, it can affect the outcome. For example, delayed payments or unusual spending patterns may lead to a low score, even if a person is capable of repaying a loan. This can lock some people out of financial services without explanation.

Privacy is another major concern. These systems require access to personal data, raising questions about how this information is stored and protected. If not properly managed, it can lead to misuse or data breaches.

Despite these challenges, the use of artificial intelligence in lending is expected to grow. It offers speed and convenience but also requires strong regulation and awareness.

For many Kenyans, decisions about loans are no longer made by people. Instead, they are being made quietly by machines.