Let's be clear about what's happening here: Meta isn't struggling. The company is printing money. But in the current corporate AI arms race, headcount is being sacrificed at the altar of GPU clusters and large language models. Employees who survived the 2022 and 2023 cullings are now bracing for yet another round of cuts. Morale, as you might imagine, is stellar.
The broader picture is one that should concern anyone who cares about San Francisco's economic health. Tech layoffs have become a rolling feature of Bay Area life, and each wave sends ripples through the local economy — fewer diners at restaurants, less demand for services, more anxiety across an already stressed housing market.
But here's the thing the AI hype machine doesn't want you to think about: who actually benefits from this "boom"? As one local put it bluntly, "60% of the people living in the area are not part of the tech boom. Teachers, nurses, restaurant workers... Every house is an auction won by those with $20-50M net worth of new 'gold rush' money competing with each other. Who will be left to even cut your hair or sell you food?"
That's the real tension. AI investment is supposedly booming, but the prosperity is concentrating into fewer and fewer hands while the cost of living stays punishing for everyone else. One Bay Area engineer captured the mood perfectly: "As an engineer who does hella software, I feel no future at the moment. I swear if things go south, I will try to land a job in sanitation."
A longer-tenured local offered some perspective: "I've been through enough booms and busts in the valley to know it's just a cycle. People want to say, 'but it's different this time because of AI.' Not really."
Maybe. But cycles don't pay your rent while you're waiting for the upswing.
The fiscally responsible take isn't anti-tech or anti-AI. Innovation is good. But a city that lets a single industry's hiring and firing whims dictate its entire economic fate isn't a resilient city — it's a company town. San Francisco's leaders should be asking hard questions about economic diversification instead of cheerleading every pivot that comes out of Menlo Park. Because right now, the only thing Meta is efficiently scaling is uncertainty.


