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Mortgage lenders are increasingly turning to VantageScore 4.0, with Rocket Mortgage naming it the preferred model for eligible direct‑to‑consumer mortgages and reporting average borrower savings of $1,600 at closing. At the same time, AI‑driven cash‑flow tools from Plaid, such as LendScore 2 and LendScore Arc, are being rolled out to help lenders better gauge repayment risk.
These changes come amid a widening debt‑to‑income problem: the Federal Reserve’s latest data show families with debt payments above 40% of income rose from 6.5% in 2022 to 8.6% in 2025, and a CNBC report notes a sharp increase in borrowers falling behind on loan payments. The pressure is reflected in the overall credit landscape, where the average FICO score slipped marginally to 714 in July 2026, a decline linked to higher interest rates and more consumers missing payments.
Why it matters: tighter household budgets and higher debt loads increase the importance of scoring models that can capture nuanced cash‑flow signals. VantageScore’s adoption and Plaid’s AI tools could expand credit access for borrowers who meet newer criteria, while also prompting lenders to reassess risk in a more data‑rich environment.
What to watch next: continued monitoring of the Fed’s debt‑to‑income trends, further roll‑out of AI‑based lending tools, and potential shifts in average credit scores as interest rates and repayment behaviors evolve. [[1]]
