AI Is Wiping Out 16,000 Jobs a Month — And Gen Z Always Gets Hit First
Goldman Sachs's April 2026 report reveals that AI is eliminating a net 16,000 American jobs every single month — consuming 25,000 positions while creating only 9,000, adding up to 192,000 annual net losses roughly equivalent to the total population of a mid-sized American city. The devastation is not evenly distributed: Gen Z workers aged 22–25 are absorbing the sharpest blows, with employment in AI-exposed occupations down 13–20% from 2022 levels, and software development roles in that age group alone collapsing nearly 20% since 2024 according to the Stanford AI Index 2026. Entry-level job postings have fallen from 44% of all listings in 2023 to just 38.6% in March 2026, while the unemployment rate for new labor market entrants reached a 37-year high of 13.3% in July 2025 — surpassing even the worst months of the 2008–09 financial crisis. Anthropic's own research counters that AI's employment impact remains "limited," but this collision between Goldman's net job figures and Anthropic's unemployment rate data is not a contradiction — it is evidence that harm is hyperconcentrated in specific age groups and occupation categories while national aggregates stay flat. The core failure here is not algorithmic but institutional: AI is not simply destroying jobs, it is destroying the entry-level rungs of the career ladder itself before a generation has had any chance to climb them, a catastrophe of policy design rather than technological inevitability.