AI Salaries Drive San Francisco House Prices to Record $1.76M Median
San Francisco home prices have surged to a record median of $1.76 million as of May 2026, driven by massive wealth from AI workers at companies like OpenAI and Anthropic. The city has overtaken San Jose as the most expensive US homebuying market, with prices up 14-19% year-over-year since March.
A three-bedroom apartment in Duboce Triangle was listed for nearly $3 million, with the seller willing to accept shares in OpenAI or Anthropic instead of cash. An OpenAI employee who viewed the property said he plans to ask his bosses about the stock transfer option.
Key data points from Redfin:
- Median sale price in SF: $1.76M (May 2026) vs ~$400K nationally
- SF prices up 19% YoY in March, 14.5% in April, 14.1% in May
- National prices rose only 1.4-2% in same period
The price boom is attributed to extraordinary AI worker compensation. Last October, over 600 current and former OpenAI employees sold combined shares worth $6.6 billion — an average of $11 million per participant. Anthropic workers also recently sold shares totaling ~$6 billion. Both companies are expected to go public later this year or next, minting more multi-millionaires.
Real estate agent Rachel Swann noted that today's bidding wars will likely be seen as bargains in hindsight.
📖 Read the full source: HN LLM Tools
👀 See Also

Claude Code v2.1.216: Sandbox Filesystem Toggle, Quadratic Slowdown Fix, and 30+ Bug Fixes
Claude Code v2.1.216 adds sandbox.filesystem.disabled to skip filesystem isolation while keeping network egress control, fixes a quadratic message normalization slowdown in long sessions, and resolves 30+ bugs including OAuth token expiry, worktree isolation, and background agent persistence.

EU Forces Google to Share Search Data, Open Android to Third-Party AI
New DMA specification measures require Google to share search data with competitors and open Android to third-party AI assistants with full system integration by mid-2027.

1.2B Local Model Beats 1T Clouds in Poker: Aggression Trumps Knowledge in Shove-or-Fold Format
A 1.2B Liquid model won 2 of 5 Texas Hold'em tournaments against models up to 1T parameters, because in a short-stack format, never folding earned more chips than smart play.

Claude Code v2.1.200: Key Fixes and Permission Mode Changes
Claude Code v2.1.200 changes AskUserQuestion dialogs to no longer auto-continue, switches default permission mode to Manual, and fixes background agent crashes and roster corruption.