Artificial intelligence may be creating a new class of homebuyers in California — and mortgage professionals are beginning to see the effects.
A recent Realtor.com report found that Bay Area homebuyers are continuing to make unusually large down payments even as mortgage rates have eased, a sign that wealth generated by AI companies is increasingly influencing housing demand and competition.
In some of California's most expensive markets, affordability pressures are no longer being driven solely by interest rates. A growing number of buyers are arriving at the closing table with substantial cash generated through stock sales, employee tender offers, and other liquidity events tied to the AI boom.
According to Realtor.com, luxury homebuyers in the Bay Area made a median down payment equal to 35% of the purchase price in 2025. That's up from a pre-2023 average of 28.4% and translates to roughly $198,000 in additional cash on a $3 million entry-level luxury home.
"The Bay Area down payment data tells us something the mortgage rate story can't explain on its own," said Jiayi Xu, economist at Realtor.com. "Buyers in Miami, Austin, and New York put more down to buy a home in 2023 — and pulled back as rates eased. Bay Area luxury buyers didn't follow that pattern."
The findings build on a trend NMP has previously reported: AI-driven hiring, investment, and wealth creation are increasingly influencing housing demand in the San Francisco region, creating a widening gap between AI-centered markets and much of the country.
AI Wealth Creates A New Source Of Housing Demand
When mortgage rates surged in 2023, buyers across the country responded by increasing down payments to lower monthly housing costs. Realtor.com notes that luxury buyers in markets including Miami, Austin and New York followed that pattern.
As rates eased in 2024 and 2025, however, those markets largely returned to pre-2023 down-payment levels.
The Bay Area did not.
According to Realtor.com, luxury down payments in the region peaked at 38.3% in 2023 before settling at 35% in 2025 — still 6.6 percentage points above the market's pre-rate-shock baseline.
The company attributes much of the difference to AI-related liquidity events that accelerated beginning in 2024. As companies such as OpenAI, Anthropic, Stripe, and Databricks remained private while achieving soaring valuations, employees gained opportunities to convert previously illiquid equity into cash through tender offers and secondary-market transactions.
That influx of liquidity appears to be finding its way into residential real estate.
"What sustained elevated down payments through 2024 and 2025 is something specific to the Bay Area: a dense, AI-native workforce with liquidity that didn't exist before," the report states.
The Impact May Be Moving Down Market
The effect is most visible in the luxury segment, where Realtor.com defines homes as those priced in the top 10% of local listings, roughly $3 million in the Bay Area.
But the report suggests the trend may be spreading into more attainable price points.
In the $750,000 to $1.5 million range, the median down payment remained stable at 20% throughout the study period. However, Realtor.com found that the share of buyers putting down more than 30% increased, while seven-figure down payments became more common.
The company suggests that some AI workers are targeting mid-market homes while bringing unusually large cash reserves to transactions. At the same time, buyers who originally planned to purchase in the $1.5 million to $3 million range may be moving down-market after facing increased competition from newly wealthy AI-sector buyers.
What It Means For Mortgage Professionals
While larger down payments can create stronger borrower profiles and lower loan-to-value ratios, the report points to a changing competitive landscape for lenders and borrowers alike.
More affluent buyers with substantial cash reserves may continue to support demand for high-balance and jumbo mortgage products despite elevated home prices. At the same time, traditional borrowers who rely more heavily on financing could find themselves competing against buyers with significantly greater purchasing power.
The findings also suggest that housing demand in some California markets may become increasingly influenced by wealth creation events rather than interest-rate movements alone.
"Austin has tech. New York has wealth. Both saw their luxury down payment shares normalize as rates came down. The Bay Area did not," Xu said. "The divergence maps directly to when AI equity liquidity events accelerated."
The report analyzed down-payment data from Optimal Blue covering 30-year fixed-rate purchase mortgages for primary residences. Government-backed loans were excluded from the study.
