San Francisco's median home price has hit $1.7 million, a record high driven partly by an influx of well-compensated AI workers flooding into the city.
The surge reflects a familiar Bay Area pattern. Tech booms bring six-figure salaries, which compress housing supply and push prices into the stratosphere. AI engineers and product managers at OpenAI, Anthropic, Google DeepMind, and other labs are commanding packages that easily clear $300,000 to $500,000 annually, putting down payments on multimillion-dollar properties within reach.
San Francisco's housing crisis predates the current AI wave. Years of restrictive zoning, NIMBYism, and limited new construction created a chronic shortage. But the concentration of AI talent in the city has accelerated an already brutal market. Unlike the 2010s, when tech workers spread across the Bay Area, many AI specialists cluster in San Francisco proper for proximity to well-funded startups and research institutions.
The $1.7 million median signals displacement. Long-term residents and service workers face impossible rent increases. Young professionals without tech stock options or six-figure salaries increasingly commute from cheaper regions or leave California entirely. Landlords raise rents to match what the market will bear, setting off a cascade effect through the rental market.
This mirrors previous cycles. During the crypto boom, similar wealth concentration pushed prices higher. The pattern repeats because supply never catches up. City planners have proposed more housing, but approvals and construction take years. In the meantime, each new wave of high-earning talent makes the city less affordable for everyone else.
The $1.7 million median reveals a two-tier San Francisco. One tier consists of AI workers, established tech executives, and inherited wealth. The other consists of everyone trying to survive in a city that no longer builds enough homes.