AI is constantly evolving, and as cliché that sounds, it’s no lie it has slowly seeped its way into every part of our lives, from something as simple as writing an email to having full blown conversations with a robot. However, it’s not just restricted to helping us with our daily tasks. In fact, it has been helping large companies and industries become more efficient and just better at what hey do.
One of the clearest examples of this is how AI changes up credit scoring in banking. For decades, banks relied on rigid, rule-based systems to decide who gets a loan. If you didn’t have a long credit history—like many students, immigrants, or gig workers—you were often out of luck, deemed “unscoreable” simply because the old models couldn’t see the full picture.
Enter AI. Instead of just looking at past loan repayments, machine learning models analyze thousands of data points, including things traditional banks ignored: rent payments, utility bills, and even transaction patterns. This shift allows lenders to assess risk more accurately and fairly, opening doors for millions of people who were previously invisible to the financial system.
However, like every coin has 2 sides, and each Clash Royale troop has a counter, the new AI models aren't all sunshine and rainbows either. While this technology makes lending faster and more inclusive, it also brings new challenges. AI models can sometimes inherit biases from the data they’re trained on, or make decisions that are hard to explain—the “black box” problem. That’s why the future of finance isn’t just about using AI, but using it responsibly: ensuring fairness, transparency, and human oversight.
From a clunky, exclusive system to a smarter, more inclusive one, AI is quietly reshaping how money moves—proving that sometimes, the most impactful revolutions happen behind the scenes.
