One in three Gen Zers is letting AI do their homebuying homework, but they still trust realtors with the closing process

About one-third of Gen Z homebuyers have used AI tools in the past 12 months for homebuying research, signaling a generational shift toward AI-assisted property search and decision-making. AI platform Jitty says its website has grown 30% to 80% month on month and recently surpassed 3 million visitors, with adoption strongest among Gen Z and younger millennials. The article suggests humans remain essential for tours, legal advice, and closing, limiting immediate disruption to traditional real estate agents.

Analysis

The key market implication is not that AI is “used in homebuying,” but that the first monetizable wedge is high-intent, low-trust search. That favors AI-native discovery layers over incumbent portals because younger buyers are willing to outsource exploration, but not execution; the platform that captures the early funnel can monetize lead-gen, referral fees, and embedded financing before the transaction becomes human-intensive. Over the next 12-24 months, the likely shift is from generic listing search to intent-qualified lead creation, which should pressure traditional portals’ traffic-quality economics even if overall housing activity is flat.

For BAC, this is modestly positive because AI-driven research increases the probability that consumers arrive at mortgage and affordability conversations earlier in the funnel, improving cross-sell and capture rates if the bank can own pre-approval and financing workflows. The second-order risk is disintermediation: if consumers increasingly start on AI agents rather than bank or broker websites, lenders with weak digital distribution lose originations to whoever controls the interface. That means the winner is not “banks broadly,” but institutions that can integrate AI into pre-qualification, rate shopping, and closing workflows faster than peers.

The more interesting contrarian read is that this is not an AI hype story; it is a trust-arbitrage story. Gen Z’s willingness to use AI is strong precisely where process opacity is highest, but adoption should slow at the contract and liability stages, limiting near-term revenue capture for pure-play AI real estate tools. That caps the upside for any company trying to replace agents outright, while preserving a meaningful multi-year opportunity in transaction-adjacent software and distribution layers. For SPOT, there is no direct read-through; if anything, the personalization dynamic reinforces how consumers may come to expect algorithmic curation across categories, but this article does not move the stock.

Key Decisions for Investors

• Long BAC vs. mortgage originator peers over 6-12 months: BAC benefits if AI increases pre-approval conversion and product attach, while weaker lenders with poorer digital distribution risk losing the earliest funnel stage.
• Watch/list candidate: buy dips in AI-enabled housing-platform names only on evidence of monetization, not traffic alone; use a 3-6 month horizon and require lead-quality or take-rate data before adding risk.
• Short traditional portal exposure on any AI-disruption rerating over the next 1-3 months; the risk/reward improves if management commentary shows slowing engagement quality rather than outright traffic declines.
• Optionality trade: buy 6-9 month calls on BAC financed by selling upside in slower-moving mortgage-dependent financials if loan origination sensitivity remains the market’s focal point.