Tony Salerno

Reverse mortgage lenders can use AI as an assistant, not a human replacement, while keeping licensed teams responsible for decisions and oversight.
Companywide AI policies and knowledgeable vendor partnerships help lenders manage legal, operational, and communication risks while unlocking productivity and compliance opportunities safely.
AI calls and chats still need consumer consent, clear caller identification, contact details, and opt-out paths to reach a human representative easily.
Privacy and licensing controls matter: lenders need data storage clarity, usage oversight, controller visibility, and AI tools tied to a credentialed human loan officer.
Emerging AI frameworks may require lenders to disclose AI use in credit decisions, explain AI-driven rejections, and provide meaningful human review for reconsideration.

Global Reverse Mortgage AI Compliance Guide

Major forecasters expect the avg. 30-yr mortgage rate to hover above ~6% through at least 2027, keeping rate planning central for US buyers.
Forecasts point to persistent economic strength and inflation still above target as reasons borrowing costs may stay higher for longer across US markets.
A faster rate break would likely require a major economic slowdown or dramatic policy shift, but forecasters do not see that near term.
Affordability remains the key planning issue: elevated home prices plus higher rates have already sidelined many would-be buyers across the US housing market.
For buyers, the practical takeaway is to plan around elevated rates rather than waiting on a quick drop in current US conditions.