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Mortgage AI investment has not cut origination costs in Q1 2026
In Q1 2026, average origination costs rose to $11,898 while lenders earned $727, or 16 bps, in pre-tax production profit, underscoring how workflow redesign, not just AI tools, drives economics.
HousingWire reports that mortgage lenders have continued investing in artificial intelligence, but Q1 2026 results showed origination expenses rising to $11,898 while pre-tax production profit totaled $727, equivalent to 16 basis points. The outlet said that despite the AI spend, the cost to originate has not fallen visibly.
The article argues the issue is structural. Many mortgage AI deployments improve individual tasks within existing workflows, but the bigger potential benefit requires redesigning how mortgage companies operate, including reducing handoffs and changing processes across teams and systems.
HousingWire notes that mortgage remains heavily dependent on people across origination, underwriting, closing, secondary market execution and servicing. It says small firms add staff directly to handle the work, while larger firms can add production capacity and organizational layers, which can grow operations without necessarily improving structural profitability.
The piece attributes the persistence of high costs to severe process fragmentation in mortgage lending. It describes mortgage as combinatorially complex, with each loan combining borrower income and credit, property characteristics, loan product terms, and varying requirements from lenders, investors and regulators, often involving transfers between institutions that do not share systems, processes, or data.