Some San Francisco buyers are purchasing before anticipated AI-sector liquidity events potentially bring more wealthy competitors into the market. More than 140 city homes sold for at least $1 million above asking during the first half of 2026, up from eight a year earlier.
Private-company employees are accessing cash through secondary stock sales and specialized lending. Other buyers are entering the market before possible public offerings increase competition, according to a recent report on the housing rush.
Seven-figure bidding premiums multiply
June alone produced 44 sales at least $1 million above asking. In May, the average San Francisco home sold for nearly 16% above list price, compared with 7% a year earlier. From March through May, midpriced homes averaged about 12% above asking. Luxury homes averaged 7%, up from less than 2% during the same period in 2025.
Sale-to-list spreads are not direct measures of appreciation because San Francisco sellers often price low to generate competition. Agents should rely on closed prices, property condition, price per square foot, and neighborhood comparables when advising clients.
How private AI shares become buying power
Tender offers and secondary-market transactions can turn private-company shares into purchasing power before an IPO.
A Realtor.com mortgage analysis put the Bay Area luxury tier’s median down payment at 35% in 2025, 6.6 percentage points above its pre-2023 baseline. The sample covered conventional 30-year mortgages for primary residences, not cash purchases or government-backed loans.
Researchers said the increase was consistent with an AI-related wealth effect, although mortgage rates and private-company liquidity are difficult to separate precisely. The findings do not prove that individual down payments came from AI shares.
Refer clients to qualified lending, tax, and financial professionals when an offer depends on selling, borrowing against, or valuing private-company shares.
Inventory falls as demand rises
Just over 900 homes were listed for sale at the end of May, down from about 1,400 a year earlier. Roughly 2,500 listings went pending from January through May, nearly 8% more than during the same period in 2025.
Low-rate mortgages and replacement-home costs may discourage owners from listing. Sellers leaving San Francisco can avoid buying back into the constrained market, while local move-up sellers need a purchase plan and realistic replacement budget before listing.
Data to pull before client meetings
Before a listing presentation or buyer consultation, agents should pull:
- Closed sale-to-list ratios from the past 60 to 90 days
- Active and pending inventory by property type
- Median days on market
- Price-per-square-foot trends
- Closed comparables adjusted for condition
Explain strategic pricing to sellers and give buyers an expected closing range. Review appraisal exposure, contingencies, financing strength, and the buyer’s offer ceiling before bidding begins.
Signals brokers should track
Agents should not present anticipated liquidity events as guaranteed.
Track inventory, pending-to-active ratios, sale-to-list spreads, and competition by price tier. Those measures will show whether demand is spreading beyond luxury homes or beginning to cool.
Track inventory, pending-to-active ratios, sale-to-list spreads, and competition by price tier. Those measures will show whether demand is spreading beyond luxury homes or beginning to cool.