
FICO is set to launch a new credit scoring model this fall that will incorporate data from hundreds of millions of Buy Now, Pay Later (BNPL) loans, a significant shift from their previous exclusion. This move aims to provide lenders with enhanced visibility into consumer repayment behavior, potentially expanding credit access for timely BNPL users and addressing concerns about 'phantom debt.' However, the full market impact remains uncertain, as widespread adoption depends on BNPL providers sharing data and lenders opting into the new models, with some industry observers noting potential limitations on its effect for established credit profiles or unforeseen consequences for vulnerable consumers.
Fair Isaac Corporation (FICO) is strategically adapting to the evolving consumer credit landscape by introducing a new scoring model this fall that incorporates Buy Now, Pay Later (BNPL) loan data. This move primarily addresses the issue of 'phantom debt' by providing lenders with optional, enhanced visibility into a consumer's full repayment obligations, a significant shift from the previous exclusion of such loans. For BNPL providers like Affirm (AFRM), which already reports to Experian, this integration further legitimizes their products within the traditional credit framework. A joint FICO-Affirm study suggests that consumers with multiple, timely-repaid BNPL loans could see their scores improve or stabilize, potentially expanding credit access for younger or credit-thin demographics. However, the market impact is tempered by several factors: adoption is not mandatory for lenders, not all BNPL firms share data, and experts like Adam Rust of the Consumer Federation of America note that the small average loan size ($135) may not dramatically alter established credit profiles. Furthermore, consumer advocates raise concerns about unforeseen negative consequences for credit-vulnerable populations, highlighting the uncertainty surrounding the model's real-world effects.
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