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ToggleWe’re seeing a big shift in how loans get approved, and it’s all thanks to artificial intelligence (AI). At a recent ET AI Conclave, Debarag Banerjee from L&T Finance talked about how they’re using AI to make lending decisions. Forget the old ways; we’re entering a world where computers help decide who gets a loan, making the process faster and potentially fairer. This isn’t just about speeding things up; it’s about looking at borrowers in a whole new light.
For years, credit scores have been the king of lending. But they don’t always tell the whole story. Someone might have a low score because of a few past mistakes, even if they’re now responsible and reliable. AI can look at many different things – your job history, your spending habits, even where you live – to get a better idea of whether you’ll pay back the loan. It’s like giving lenders a superpower to see beyond the numbers and understand the person behind the application.
Banerjee explained that L&T Finance is building what he called “next-generation, multidimensional underwriting systems.” In plain language, this means they are using AI to analyze loan applications in much more detail than ever before. Instead of just looking at a few data points, the AI can consider hundreds or even thousands of factors. This can lead to more accurate decisions and fewer people being unfairly denied loans. And because the AI can work much faster than a human, the entire process can be streamlined, getting money into the hands of those who need it quickly.
One of the big promises of AI in lending is that it can reduce the number of loans that go bad. By more accurately assessing risk, lenders can avoid giving money to people who are likely to default. This is good for the lenders, of course, but it’s also good for the borrowers. It helps to prevent people from getting into debt they can’t handle, which can have devastating consequences. The hope is that AI can create a more stable and responsible lending environment for everyone.
But it’s not all sunshine and roses. There are some important ethical questions to consider. If AI is making decisions about who gets a loan, we need to make sure it’s not biased. For example, if the AI is trained on data that reflects existing inequalities, it could end up perpetuating those inequalities. It’s essential that lenders carefully monitor their AI systems to ensure they’re fair and unbiased. We need to make sure that AI is used to create a more inclusive and equitable lending system, not one that reinforces old prejudices.
It’s unlikely that AI will completely replace human loan officers. There’s still a need for human judgment and empathy, especially when dealing with complex or unusual situations. But AI will certainly change the role of loan officers. They’ll spend less time crunching numbers and more time helping borrowers understand their options and navigate the lending process. The human touch will still be important, even in an AI-powered world.
The use of AI in lending is still in its early stages, but it has the potential to transform the industry. It can make lending faster, fairer, and more efficient. It can help lenders make better decisions and help borrowers get the money they need. Of course, there are challenges to overcome, but the potential benefits are enormous. As AI technology continues to develop, we can expect to see even more innovative uses in the world of lending. The future of finance is looking increasingly intelligent, and that’s a good thing for everyone.
Ultimately, the promise of AI in lending lies in its potential to democratize access to credit. By removing biases and inefficiencies from the traditional lending process, AI can help more people get the loans they need to start businesses, buy homes, and achieve their financial goals. This could have a profound impact on economic growth and opportunity, creating a more inclusive and prosperous society for all.



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