San Francisco’s housing market has become an indicator of AI giants' overvaluation
7/13/2026, 10:08 AM • Евгения Слив

The artificial intelligence market bubble continues to expand rapidly, and its most striking and extravagant manifestation has become the luxury real estate market in San Francisco. For the first time in history, home sellers in this tech hub have begun officially accepting shares of giants like OpenAI and Anthropic as payment, despite neither company having gone public yet. A prime example of this new reality is the sale of a three-bedroom home in the prestigious Duboce Triangle neighborhood, which owner Nima Gabbay listed for nearly three million dollars with the condition of payment in digital assets. According to The New York Times, this property received offers from OpenAI employees, one of which, factoring in the internal valuation of the shares, exceeded the asking price by over a million dollars. A similar situation occurred in nearby Healdsburg, where property owner Vijay Chattha offered buyers a substantial half-million-dollar discount if they agreed to settle the transaction with Anthropic shares instead of traditional cash.
This paper wealth of tech corporation employees is now directly driving the entire local real estate market, creating anomalous and excessive demand. Expectations of an imminent initial public offering (IPO) for these companies create an illusion of instant enrichment for thousands of workers. According to conservative estimates by the analytics platform Redfin, current and former employees of these corporations theoretically possess enough options and corporate equity to purchase nearly a third of all available homes in San Francisco. The scale of this effect is clearly confirmed by a recent analysis from Compass for the first half of 2026: over 140 properties were sold for at least a million dollars above the starting price, with 44 of those transactions occurring in June alone. For comparison, a year earlier during the same period, only eight such record overpayments were recorded. Furthermore, the median price of a single-family home in the city reached a historical high of $2.14 million in May, coinciding with a simultaneous decrease in overall market supply.
The key analytical conclusion is that the source of this frenzy is not fundamental demand for square footage, but the massively inflated valuation of the AI companies themselves on the private market, which has yet to face the strict scrutiny of public investors. Shares of OpenAI and Anthropic, which are currently being accepted as payment for luxury mansions, exist solely in the form of internal corporate valuations and closed funding rounds. Their true market price and, more importantly, their liquidity will only become known after the long-awaited public listing. Therefore, it is more logical to describe this phenomenon not as an isolated real estate bubble, but as a direct physical extension of the artificial intelligence bubble that has found an outlet in a specific sector of the real economy. In this context, the San Francisco housing market acts as a sensitive indicator: home price dynamics reflect not so much a housing shortage, but the market participants' blind faith in the inflated valuations of tech giants, making this entire construct highly vulnerable to any disappointments during upcoming IPOs.
