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Credit Score Shake-Up: New Models Promise Broader Access—But Could Cost Lenders Billions

Mortgage scoring is being rewritten to widen access, but the shift could reshape lender economics and risk.

What is this trend?

Mortgage credit scoring is moving beyond legacy FICO toward newer, data-rich models that can include more borrowers while forcing lenders to adapt systems, compliance, and risk pricing.

  • Alternative data like rent history can help score borrowers with thin or invisible credit files.
  • Dual-score and newer-model adoption aims to broaden approvals without abandoning risk discipline.
  • Lenders face costly tech, compliance, and workflow changes as scoring rules evolve.
  • Broader access could open the door for first-time and moderate-credit buyers long excluded from mortgages.
  • The transition may shift lender economics and create new concerns about model gaming and delinquency.

What’s the latest?

Lenders are shaking up the mortgage market by using new credit models and alternative data, opening the door for millions who were once locked out of homeownership.

How it developed earlier updates

  1. 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?
  2. 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.

    Home Insurance Premiums Soar, Credit Scoring Faces Backlash

Where this is playing out

Related trends

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