This resolution disapproves and nullifies the Office of the Comptroller of the Currency’s rule regarding quality control standards for automated valuation models.
Andrew Clyde
Representative
GA-9
This resolution exercises congressional authority to disapprove and nullify the Office of the Comptroller of the Currency’s rule regarding quality control standards for automated valuation models. By rejecting this regulation, the measure ensures the rule carries no legal force and cannot be enforced.
This joint resolution uses the Congressional Review Act to strike down a specific federal rule—89 Fed. Reg. 64538—which established quality control standards for Automated Valuation Models (AVMs). These models are the algorithms and AI tools that banks and lenders increasingly use to estimate property values instead of sending a human appraiser to your front door. By disapproving this rule from the Office of the Comptroller of the Currency (OCC), Congress effectively deletes the requirement for financial institutions to follow standardized federal guidelines when using these tech-driven valuation tools.
When you apply for a mortgage or a home equity line of credit (HELOC), your lender often plugs your address into an AVM to get an instant value. The blocked rule was designed to ensure these computer models were accurate, protected against data manipulation, and avoided discriminatory bias. Without these standards, the guardrails for how these algorithms are built and tested remain largely in the hands of the companies using them. For a homeowner in a middle-class neighborhood looking to refinance, this means the math determining your home equity could vary wildly depending on which proprietary software your bank chooses, with no federal quality floor to catch glitches in the code.
By removing these specific regulations, the bill reduces the compliance costs for banks and real estate tech firms, potentially speeding up the loan approval process. However, the trade-off lands squarely on consumers and the broader stability of the housing market. If you are a first-time homebuyer, an inaccurate automated valuation could lead to you overpaying for a property or being denied a loan because a flawed algorithm undervalued the house. For lenders, the lack of standardized quality control increases the risk of 'appraisal inflation,' where properties are valued higher than they are worth, creating the kind of systemic risk that can lead to financial instability if the market corrects.
The primary beneficiaries here are large financial institutions and real estate companies that utilize AVMs, as they will no longer have to adjust their internal systems to meet the OCC’s specific quality benchmarks. On the other side of the ledger are everyday homeowners and buyers. Without these federal standards, there is less transparency regarding how your home’s value is calculated. If an algorithm uses biased data or outdated neighborhood stats to lowball your property value, you have fewer regulatory protections to point to when challenging that assessment, potentially making it harder to access the full wealth tied up in your home.