As fraud surges across the auto finance landscape, lenders are increasingly losing confidence in traditional tools and generic AI systems, according to a new industry‑wide study released by InformedIQ, a leading developer of AI-driven verification software for income and employment checks. The survey, presented to more than 2,500 auto finance professionals, highlights both the escalating sophistication of AI-powered fraud and a rising “AI fatigue” among lenders frustrated by inconsistent or unreliable AI outputs.
The study indicates that 75% of lenders have seen a rise in fraud, yet more than half describe their confidence in detecting AI‑generated counterfeit documents as “low” or “slightly confident.” Much of this skepticism stems from concerns around “data hallucinations” produced by off‑the‑shelf large language models, and the difficulty of relying on manual reviews to evaluate increasingly realistic fake pay stubs, altered identities, and synthetic documents.
“Lenders aren’t looking for futuristic promises they want real, immediate solutions to stop escalating AI‑driven fraud.”
— Jessica Gonzalez, VP Customer Success & GM Automotive, InformedIQ
“Lenders are no longer looking for futuristic promises; they are seeking immediate, tangible solutions to an escalating fraud crisis,” said Jessica Gonzalez, VP of Customer Success and GM of Automotive at InformedIQ. “Fraud is becoming more sophisticated, but many organizations still rely on slow, costly manual reviews that can’t keep pace.”
The financial impact is substantial. Over half of respondents attribute 10% to 19% of annual loan losses to documentary-based fraud, while nearly two‑thirds reported fraud grew between 5% and 25% in the past year alone. Operationally, 58% say manually reviewing flagged loan files costs up to $100 per application, and stipulation checks delay funding by up to 30 minutes.
The survey also reveals a widening AI paradox: while lenders expect to increase AI investments particularly in credit risk modeling (43%) and fraud prevention (24%) concerns about hallucinations, deepfake documents, and lack of historical cross‑checking persist. Compliance pressures are adding urgency, with lenders bracing for heightened scrutiny from both state regulators and federal agencies like the CFPB and FTC.
InformedIQ says the findings underscore a market shift toward high‑accuracy, domain‑specific AI systems built to withstand emerging fraud tactics and deliver immediate ROI.