San Francisco prices surge again
San Francisco’s median house price hit a record $2.15 million in March as wealth from AI startups pushed local demand and condo markets nearby also jumped sharply. Observers note that this price pressure is reshaping talent costs and where teams choose to colocate in the Bay Area. (bloomberg.com) (eastbaytimes.com)
San Francisco’s housing market has snapped back so hard that it is now setting records again. In March, the city’s median house price reached $2.15 million, up 18% from a year earlier and above the previous peak of about $2.05 million set in April 2022. Condo prices jumped too, rising 27% year over year to $1.36 million, just shy of their 2022 high. The immediate trigger was simple: a lot of new money arrived fast, and much of it came from AI startups and the people around them (bloomberg.com, eastbaytimes.com, realtor.com). That money did not spread evenly across the market. It piled into houses first, especially larger and more expensive ones, because the buyers showing up were not bargain hunters. They were founders, early employees, and investors with fresh liquidity, often bidding in cash. San Francisco Business Times reported that luxury home sales soared 83% in March and that some buyers were offering as much as 70% over asking. That is not a broad housing recovery. It is a surge at the top end that is forceful enough to drag the citywide median upward with it (bizjournals.com, mansionglobal.com). The striking part is that this happened in a city that, not long ago, looked stuck. San Francisco’s housing market spent much of the post-pandemic period absorbing remote work, layoffs, and a bruised local tech sector. Compass market material now describes 2025’s autumn run-up as an “AI-driven market boom,” and notes that affluent buyers have taken an outsized role in price appreciation while the condo market has also rebounded sharply. In other words, the city did not heal evenly. It was pulled upward by one industry, and by the unusually concentrated wealth that industry creates (bayareamarketreports.com, issuu.com). That same industry is also changing the geography of demand. The card’s mention of nearby condo markets is not a side note. It is the mechanism. When core San Francisco houses become even less attainable, demand spills outward into nearby parts of the Bay Area where teams can still cluster without paying Pacific Heights prices. East Bay and other adjacent markets become pressure valves for workers who need access to the city’s investors, founders, and offices but cannot or will not buy inside San Francisco itself. The result is not just higher prices in one city. It is a wider reshuffling of where people live in order to stay near the AI economy (eastbaytimes.com, car.org). Housing is only one surface where this shows up. Commercial real estate data has been pointing in the same direction for months. CBRE said in 2025 that AI development was already becoming a major driver of office demand in San Francisco, with AI-related companies leasing more than 5 million square feet in the city. Kidder Mathews described the office market’s recovery as being fueled primarily by AI and technology firms. When firms lease space, hire aggressively, and want people near each other, the cost of housing stops being a background condition and becomes part of the labor market itself (cbre.com, kidder.com). That is why this price jump matters beyond homeowners. A city where the median house now costs $2.15 million is a city where compensation has to stretch further, where startups have stronger reasons to colocate only their most valuable staff, and where everyone else starts calculating commute time against rent. The market is sending a blunt signal. San Francisco is expensive again because the AI boom is no longer an abstract story about valuations and model releases. It is visible in all-cash offers, in condo rebounds, and in a March median that now starts with a two (bloomberg.com, bizjournals.com).