San Francisco’s AI startup scene is embracing an unforgiving schedule as founders and engineers log 12-to-16-hour days, often seven days a week, to keep pace with rapidly evolving tools and rivals. The grueling cadence reflects a broader shift in tech’s balance of power: after mass layoffs and cost-cutting across Big Tech, employers have raised expectations as fears over AI-driven job displacement rise—especially for junior roles. Workers describe both excitement at unprecedented innovation and mounting anxiety that the technology they’re building could compress ladders into the industry. Coaches and managers report a pivot from post-pandemic priorities like burnout and belonging toward “efficiency,” “change,” and “disruption.” Studies and forecasts—from Stanford to the IMF and AI leaders—suggest early-career positions are most exposed, with entry-level white-collar jobs at particular risk. The AI-fueled grind in Silicon Valley may preview pressures set to hit other sectors, as automation spreads from coding to services and even physical work, signaling a new era where continuous upskilling and demonstrable output become prerequisites for staying employed.
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