The people who won the American economic lottery are starting to feel like they might lose it. That’s the picture painted by a widely-shared piece on Hacker News, which follows tech workers watching their financial security dissolve as AI reshapes Silicon Valley from the inside out.
The story centers on Susan Smith, a mid-tier Meta executive who pulled in over $500,000 a year, supported a disabled son, and paid for two nannies without worry. She survived four rounds of layoffs. In May, the fifth round got her. Her last job before the exit? Helping executives train new “AI employees,” part of an internal mandate that managers treat AI systems as real team members. She was teaching her replacement.
What stands out here is the mechanism, not just the outcome.
Automating your own seat
Across tech companies, coders, lawyers, and HR staff are being measured by how fast they can automate their own functions. They’re the front line of the transformation and the first casualties of it. Layoffs.fyi counts more than 800,000 tech workers cut since 2022, with fresh reductions this year at Meta, Microsoft, Oracle, and Amazon.
This is significant because it breaks the deal a whole generation was sold. Study hard, learn to code, land at Google or Meta, and you’re set. Computer science became the fastest-growing major in America since 2008 on the strength of that promise. Now the people who followed the script find themselves, as market researcher Oliver Raskin told Hacker News, saying “Now I’m the guy on the street.”
Why this matters beyond Silicon Valley
Here’s the uncomfortable part for everyone else. Tech workers aren’t a special case. They’re a preview.
Entrepreneur Anil Dash put it bluntly: Silicon Valley techies “are guinea pigs for what tech dudes want to do to everyone.” The tools get tested on high-status white-collar jobs first because that’s where the automation payoff is richest. Then they spread outward.
Labor historians in the piece draw the obvious parallel. Georgetown’s Joseph McCartin compared today’s coders to mid-century autoworkers, who held stable, high-status, well-paying jobs until assembly lines automated them out over two generations. His warning: AI will hit white-collar work faster than that. Sociologist Ruth Milkman was even more direct. Tech workers are getting “a dose of what workers in other industries have long complained about.” Jobs that feel unsteady and strip away autonomy. “Low-wage workers are used to it,” she said.
The wealth is concentrating, not spreading
There’s a cruel timing to all this. Tech stocks are on a 15-year tear. OpenAI and Anthropic are heading toward IPOs at enormous valuations. On paper, it’s a boom.
But industry veterans in the report note that these payouts will lift a much smaller group to staggering wealth than past IPO waves did. Fewer winners, bigger jackpots. Smith summed up the mood of the disillusioned: “I just don’t personally see the point of doing it just to make a couple of people quadruple trillionaires.”
What comes next, and what to do about it
Look one to three years out and the trend line is clear. The automate-your-own-job pressure moves from engineering into law, finance, HR, and support roles at scale. The middle of the org chart thins out. Compensation stays high for a shrinking elite and gets shaky for everyone below.
Practical takeaways if you work in or around tech:
- Treat AI fluency as table stakes, not a bonus. The people surviving these rounds are the ones directing the tools, not competing with them.
- Diversify your income and skills now, while you still have leverage. Smith’s ex-husband, a laid-off Meta designer, now lifts boxes in a warehouse. Don’t wait for the fifth round.
- For business leaders: watch the morale cost. When your best people believe they’re training their replacements, the 70-hour weeks and true-believer loyalty evaporate first. That’s a productivity problem before it’s a headcount one.
The optimism that defined tech for two decades hasn’t collapsed into hatred of the technology. Smith isn’t pessimistic about AI itself. What’s cracked is the belief that doing everything right guarantees you a seat. That belief was Silicon Valley’s real operating system. And it’s the thing AI is quietly rewriting.
Full reporting is available at the original source.