The Download: SCA Weekly Insights
Using AI with a Human Touch for Financial Literacy
Artificial Intelligence (AI) has officially entered the chat when it comes to personal finance. Today, prospective borrowers are increasingly consulting AI tools to research mortgages and lending options long before they ever hop on a call with a loan officer (LO). But this trend introduces an interesting complex: while consumers are starting out this process more "informed" than ever, they are frequently armed with misaligned expectations, due to incomplete or inaccurate factors that simply don't fit their personalized financial reality.
What We’re Reading
Here’s a peek at what the SCA team was reading and discussing this week:
"No Broker, No Bank, No Problem": Explores how tools like Rocket Mortgage’s "Rocket Logic" leverage LLMs to guide borrowers. While 75% of buyers assume AI is already embedded in the process , 55% still prefer a human for securing a mortgage —meaning full self-service is highly unlikely anytime soon.
"Mortgage Industry Needs Practical AI Governance": Highlights how AI is quietly embedded across vendor platforms (LOS, QC, etc.) without deliberate purchasing. It introduces the new MBA/MISMO FRAME governance framework and notes that lenders ultimately own the outcome of AI decisions.
Bank of America 2026 Homebuyer Insights Report: Reveals that 20% of buyers are actively using AI chatbots for research—a number that climbs to 32% for Gen Z and 28% for Millennials. The most common uses are estimating costs (57%) and general education (55%).
Wells Fargo Home Lending Survey: Exposes a staggering financial literacy gap. While roughly 70% of first-time buyers felt knowledgeable , only 25% could answer 5 out of 12 mortgage quiz questions correctly , and 88% remain entirely unclear on the first steps of the process.
What We Thought
Why AI Keeps Getting It Wrong
Garbage In, Garbage Out: An AI's answer is only as good as the prompt it receives. If a consumer feeds it incomplete data, it confidently returns a wrong answer.
Memory Traps: Chatbot responses heavily depend on individual session history. Because AI is a learning model, two customers asking the exact same question can get completely different answers based on preconceived information in the bot.
The Ambiguity Gap: AI requires highly tailored, pointed questions to compute an accurate response. When general consumers use it for cost estimations or broad education, they walk away with notions that do not always align with real-world credit criteria.
The Strategy: Pivot From Transactional to Educational
This shift is a renewed opportunity for financial institutions to re-evaluate their value to the consumer. Instead of dismissing AI, lending teams must adapt. We believe the solution lies in connecting AI literacy with proactive financial education.
Audit the AI Experience: Have someone internally pose as a first-time homebuyer to query popular AI assistants. Document what they surface to see exactly what your customers are seeing firsthand.
Understand the Consumer: Train staff to understand AI and to identify if a customer is using AI proactively (seeking frameworks) or reactively (clinging to incorrect assumptions) and arm them with the tools and resources to properly re-align their perspectives.
Create Countermeasures: Counter the noise by building your own financial literacy tools, online workshops, and structured education tracks covering credit and mortgage basics.
👉 The Bottom Line
Loan officers should transition from transaction facilitators to trusted educators. By teaching consumers how to ask the right questions , you position your institution as the ultimate source of truth and foster a long-term, trusted financial relationship.
