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Artificial Intelligence-Based Systems To Help More SMEs Get Access To Credit: Nandan Nilekani

A recent RBI report had said shadow lenders witnessed stress in their asset quality in the first half of the current fiscal.

Nandan Nilekani, co-founder and chairman of Infosys Ltd., speaks during a panel discussion at the Bloomberg New Economy Forum in Beijing, China. (Photographer: Takaaki Iwabu/Bloomberg)  
Nandan Nilekani, co-founder and chairman of Infosys Ltd., speaks during a panel discussion at the Bloomberg New Economy Forum in Beijing, China. (Photographer: Takaaki Iwabu/Bloomberg)  

Aadhaar architect Nandan Nilekani on Tuesday batted for artificial intelligence-based credit disbursal systems stating it would make access to funds easier, especially for small and medium enterprises.

"We shouldn't get distracted by the current challenges. Obviously we have an issue with bank non-performing assets, non-banking financial company NPAs, but out of this will emerge the next generation of credit which is going to be entirely tech and data-based," Nilekani said at an event here.

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He added that credit decisions by artificial intelligence artificial intelligence-driven systems will be based on business flows rather than being asset-based. "It is good for newcomers because they may not have assets," he said.

A recent Reserve Bank of India report had said non-bank lenders witnessed stress in their asset quality in the first half of the current fiscal, with gross non-performing assets ratio increasing to 6.3 percent in September 2019 from 6.1 percent in March. Nilekani explained that artificial intelligence can be used to figure out good and bad credit risk, and rates at which loans are given can be tweaked based on such assessment.

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"Today, big guys get cheap credit, small people get expensive credit through money lenders and all. All that will go away," he added. Asked about his message for entrepreneurs, the Infosys co-founder said they should focus on "getting to the path of profitability fast." He added that internet businesses globally had turned profitable after a few years of losses, and therefore, getting to that path should be kept in mind.