San Francisco has always been a city of dreams, but now it's a city of algorithms. The latest BBC report reveals that wealthy AI workers are driving home prices to a record $1.7 million median. At first glance, this seems like a simple case of supply and demand: high-paying jobs attract workers, workers need homes, prices go up. But let's pause and ask: what if the houses themselves are being optimized by AI? Imagine this: your smart toaster sends data to a central AI that calculates your 'neighborhood desirability score.' If you're an AI engineer, your toaster's crumb patterns might boost your block's value. But if you're a poet, your toaster's erratic toast settings could tank property prices. Suddenly, your home's worth isn't just about location—it's about your digital footprint. The consequence? Real estate agents now require a 'tech compatibility' check before showing homes. 'Sorry, this Victorian only appreciates in value if you work in machine learning,' they say. Meanwhile, data brokers sell 'AI worker heat maps' to developers, who then build luxury condos that literally beam Wi-Fi into your brain. The city's planning commission is now a chatbot, approving permits based on how many times you've mentioned 'neural network' on LinkedIn. But here's the kicker: the AI workers themselves might be renters in their own buildings. They're so busy coding that they never actually live in their homes. Instead, they sublet to holograms, driving up prices for everyone else. So, is your next-door neighbor a person or a simulation? And does it matter when your mortgage is due?