Survey Finds Homebuyers Demand Transparency as Trust in AI Drops to 16%

Why It Matters

The erosion of trust in AI for homebuying signals a pivotal moment for the PropTech sector. As consumers demand clear disclosure and human verification, firms that rely solely on algorithmic decision‑making may see adoption slow or reverse. This shift could reshape product development, prompting a move toward hybrid models that blend AI efficiency with human expertise. Moreover, the heightened scrutiny may invite regulatory action, compelling the industry to codify transparency standards that could become a competitive differentiator. For lenders and insurers, the findings highlight a risk management opportunity: integrating human oversight could reduce liability from AI errors and improve customer satisfaction. Conversely, firms that ignore the transparency demand may face reputational damage and lose access to a younger, tech‑savvy buyer segment that still values speed but wants assurance.

Key Takeaways

• Trust in AI for homebuying fell to 16% in 2026, down from 30% in 2025.
• 68% of surveyed buyers say transparent AI disclosure is essential; 37% want it mandatory.
• 44% of respondents would pay a professional to verify AI decisions.
• AI could cut loan processing times by 1‑3 months, benefiting the 37% of U.S. loans to borrowers under 35.
• Preference for human involvement rose: 55% now prefer a person for mortgage decisions, up from 46% last year.

Pulse Analysis

The Cotality survey captures a classic adoption curve reversal: early enthusiasm for AI's speed and convenience is now being tempered by real‑world concerns over accuracy and accountability. PropTech firms that have marketed AI as a frictionless, end‑to‑end solution must now re‑engineer their value propositions. The data suggest a bifurcated market—tech‑first adopters who will continue to use AI tools if paired with verification, and risk‑averse buyers who will revert to traditional agents unless transparency is guaranteed.

Historically, disruptive technologies in real estate—online listings, digital signatures, virtual tours—have succeeded by lowering transaction costs while preserving a human touchpoint. AI is following the same trajectory, but the stakes are higher because decisions now affect creditworthiness and legal risk. Companies that embed AI‑disclosure badges and offer tiered verification services can monetize the 44% willingness to pay for human checks, turning a compliance hurdle into a revenue stream.

Regulators are watching closely. The 61% of baby boomers demanding mandatory labeling could translate into legislative pressure, especially in jurisdictions with strong consumer‑protection frameworks. Early adopters of transparent AI practices may gain a first‑mover advantage, positioning themselves as trustworthy partners in a market where confidence has eroded. The next six months will likely see a wave of pilot programs, partnership deals with verification firms, and possibly the emergence of industry standards for AI labeling—developments that will define the competitive landscape for PropTech in 2027 and beyond.