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Updated Credit Score Shake-Up: New Models Promise Broader Access—But Could Cost Lenders Billions
Mortgage credit scoring is being rebuilt to widen access, but the shift could reshape lender economics.
What is this trend?
New mortgage scoring models are replacing legacy credit files with broader data to approve more borrowers and better price risk, while forcing lenders to absorb major system, compliance, and revenue changes.
- Alternative data can surface borrowers traditional scores miss, especially thin-file and first-time buyers.
- Dual-score and newer-model adoption raises the bar for lender tech, operations, and compliance.
- Broader scoring may improve access, but it also creates new ways for behavior to distort risk signals.
- The transition could shift costs and fee economics across the mortgage ecosystem.
- Credit scoring is moving from a narrow gatekeeper to a more contested risk-management tool.
What’s the latest?
FICO’s 10T initiative aims to balance financial inclusion with risk management, but its success hinges on industry-wide collaboration and trust in more transparent, predictive credit models.
How it developed earlier updates
AI-driven scoring models and alternative data are breaking FICO's monopoly, enabling lenders to unlock $1 trillion in new mortgages for overlooked groups without raising risk.
Mortgage Credit Monopoly Shattered: Dual-Score Mandate Unlocks $1 Trillion in Loans—But at What Cost?