Africa’s lending future rests on data, human judgment and trust

Africa’s financial services sector is entering one of the most significant transitions in its history. Artificial intelligence, digital lending, behavioural analytics and open banking are rapidly changing how financial institutions assess borrowers, price risk and extend credit.

Yet amid all this advancement, one lesson stood out during the recent East African Banking School Conference held at Diani, Kenya: the future of lending will not be determined by technology alone, but by the ability to combine data, human judgement and responsible finance.

For many years, lending decisions largely depended on collateral, financial statements and the experience of credit officers. Today, those traditional indicators are increasingly being complemented by behavioural data, mobile money transactions, digital footprints and machine learning models. Financial institutions can now analyse thousands of data points within seconds to estimate the probability of default.

However, conference discussions repeatedly emphasised an important caution: algorithms should support lending decisions, not replace professional judgement. Every credit model should be explainable. If a bank or microfinance institution cannot explain why a customer was declined or approved, the institution risks embedding bias, weakening governance and exposing itself to regulatory and reputational challenges.

The quality of lending will therefore depend on the quality of data. Inaccurate, incomplete or outdated data inevitably produce poor credit decisions. Financial institutions must invest in data governance, ensuring that information is reliable, complete, timely and secure. Equally important is protecting customer data. In an era of increasing cyber threats and stringent data protection requirements, trust remains one of the banking industry's most valuable assets.

Another important shift is the changing profile of Africa's borrowers. With the continent’s median age below 20 years, Generation Z represents the next frontier of financial inclusion.

Yet many young borrowers own few traditional assets. They rent rather than own homes, rely on ride-hailing services instead of purchasing vehicles, earn income from informal or digital platforms, and conduct much of their financial lives through mobile phones.

This raises a fundamental question: Are financial institutions still lending using yesterday's collateral for tomorrow’s customers?