Affirm Holdings IncAffirm launched a transformer-based AI underwriting model that produced 3.4% more completed purchases in testing.

Affirm Holdings is launching a new transformer-based machine learning model for real-time credit underwriting at U.S. checkouts, drawing on 14 years of its own transaction and repayment data to analyze the order and timing of events across a consumer's credit history. In initial testing, the model approved applications the previous system would have declined, including consumers with limited credit histories and no FICO scores, and those incremental approvals produced 3.4% more completed purchases than the control group, with the loans performing better than a comparable expansion under the previous model. Affirm says the model is built to deliver fast and explainable decisions, and the release does not provide a dollar estimate of the financial impact. The company frames the launch as expanding approvals without simply lowering credit standards, with the financial benefit depending on how the early results scale. Affirm shares have risen 58.2% over the past six months compared with the industry's 20.2% growth, and the stock trades at a forward price-to-sales ratio of 4.1X versus the industry average of 4.2X.
Affirm Holdings IncAffirm launched a transformer-based AI underwriting model that produced 3.4% more completed purchases in testing.
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