**The big picture:** The mortgage industry is rapidly adopting AI and large language models to automate underwriting processes, aiming to reduce manual coordination and improve efficiency. **Why it matters:** This technological shift directly impacts the roles and required skills of mortgage underwriters and related administrative staff, signaling a move towards AI-assisted decision-making. **Between the lines:** - AI can identify issues, generate explanations, validate documents, and flag fraud in real-time. - Automation is expected to compress cycle times and reduce labor needs in mortgage underwriting. - New appraisal standards (UAD 3.6) introduce complexity, requiring new review policies and potentially more specialized training for underwriters. **Staffing & HR impact:** The integration of AI will necessitate upskilling or reskilling for existing underwriting teams and may lead to a reallocation of human capital, impacting recruiter demand for traditional roles. **The bottom line:** Mortgage lenders must strategically adapt their workforce and training programs to leverage AI's benefits while managing the transition for their human talent.