The Trust Paradox: 75% of Buyers Expect AI. Only 16% Trust It.

The real estate industry has officially crossed the Rubicon of artificial intelligence adoption. According to a new survey released this week by Cotality, a staggering 75% of homebuyers now assume AI is running somewhere inside the homebuying process [1]. They expect it in property searches, valuations, and rate quotes. More than half (55%) use generative AI tools at least once a month.

But beneath this rapid adoption lies a critical vulnerability: trust.

While buyers expect AI, they do not inherently trust it with their largest financial decisions. The same Cotality survey revealed that trust in AI to help find a home plummeted from 30% in 2025 to just 16% today [1]. Furthermore, 68% of buyers stated they would manually verify every detail provided by an AI tool in a housing context, and 44% would actually pay more for a human to verify AI outputs [1].

"The market has passed the adoption phase. Buyers are not asking whether AI is involved—they assume it is. The question they are now asking is whether the industry has earned the right to use it in decisions that change lives and finances." — John Rogers, Chief Data and Analytics Officer, Cotality [1]

This is the trust paradox. Consumers demand the speed and efficiency of AI, but they demand the accountability of a human.

The Compliance Mandate in Mortgage and Title

This consumer sentiment perfectly mirrors the internal struggles of mortgage lenders and title companies. As Sandeep Shivam recently noted in HousingWire, the mortgage industry is no longer debating whether AI has a role [2]. The conversation has shifted to what kind of AI can survive a compliance audit.

Basic AI assistants that merely summarize content are insufficient for regulated workflows. What the industry requires is agentic AI—systems with narrow operating boundaries, explicit authority, and full causal traceability [2]. If an AI agent flags a file or recommends an escalation, compliance teams need to reconstruct exactly what data was used and what logic was applied.

"The best mortgage AI systems will not be the ones that sound smartest. They will be the ones who produce structured, understandable explanations in business language." — Sandeep Shivam [2]

Bridging the Gap with Agentic AI

This is precisely where Oppy's approach to agentic AI changes the equation. Oppy is not a generic chatbot guessing at answers; it is a platform to launch and manage AI employees (oppies) with access to over 60 specific business tools.

When an oppy handles lead qualification or document analysis, it operates within defined parameters. It provides the conversational utility that modern consumers expect—instant, intelligent responses across SMS, email, and voice—while maintaining the structured data and searchable history that brokers, lenders, and property managers require for oversight.

Consumers want to know when AI is involved, with 68% demanding clear notification [1]. By deploying AI employees that clearly identify their role while seamlessly integrating with human teams, real estate professionals can deliver the speed of automation without sacrificing the trust that closes deals.

The next cycle in real estate will not be won by those who simply deploy the most AI. It will be won by those who deploy AI that both consumers and compliance teams can trust.

References

[1] Cotality. "Trust, but verify: What homebuyers now demand from housing AI." April 15, 2026. https://www.cotality.com/insights/analysis/trust-but-verify-ai

[2] Shivam, Sandeep. "Building mortgage AI agents that compliance teams can trust." HousingWire, April 17, 2026. https://www.housingwire.com/articles/building-mortgage-ai-agents-that-compliance-teams-can-trust/