conv.

All stories
AIQuiet 12d · day 14

Goldman: AI layoffs hit older workers like past tech waves, with long-lasting scars

Workers 35+ are taking five weeks longer to find jobs after AI displacement, echoing patterns from four decades of technology-driven layoffs.

newest coverage 12d agosummary written 12d ago4 pieces4 likes & upvotes2 comments NewswiresMastodonGoogle NewsHacker News

What to know

  • AI job displacement shows patterns identical to technology disruptions over the past 40 years, with older workers (35+) taking five weeks longer to find new full-time work and facing persistently higher unemployment odds.
  • Wage penalties are substantial: only 49% of displaced workers earning as much post-displacement versus 62% in prior surveys, suggesting long-term earnings losses similar to earlier tech waves.
  • Younger workers are adapting better—cycling through fewer temp jobs and showing half the cumulative earnings losses—but face headwinds on hiring; college students are already shifting away from high-AI-exposure majors.

“In the years after losing a job to technology, workers' real earnings grew more slowly than those of other displaced workers. Their odds of another spell of unemployment stayed persistently higher.”

Goldman Sachs, Investment bank (historical research) · Fortune ↗

Pierfrancesco Mei Goldman Sachs economistGoldman Sachs Investment bank

Goldman: AI layoffs hit older workers like past tech waves, with long-lasting scars
fortune.com

How it unfolded 1 development · click the chart to see its coverage articlesposts

Peak 3 pieces in 3h at Oct 30, 8 AM; 4 pieces over 14 days (2 articles · 2 posts) Oct 30, 8 AM — 3 pieces · 2 articles · 1 post — Mastodon 1, Newswires 1, Google News 1Oct 30, 11 AM — quietOct 30, 2 PM — quietOct 30, 5 PM — quietOct 30, 8 PM — quietOct 30, 11 PM — quietOct 31, 2 AM — quietOct 31, 5 AM — quietOct 31, 8 AM — 1 piece · 1 post — Hacker News 1Oct 31, 11 AM — quietOct 31, 2 PM — quietOct 31, 5 PM — quietOct 31, 8 PM — quietOct 31, 11 PM — quietNov 1, 1 AM — quietNov 1, 4 AM — quietNov 1, 7 AM — quietNov 1, 10 AM — quietNov 1, 1 PM — quietNov 1, 4 PM — quietNov 1, 7 PM — quietNov 1, 10 PM — quietNov 2, 1 AM — quietNov 2, 4 AM — quietNov 2, 7 AM — quietNov 2, 10 AM — quietNov 2, 1 PM — quietNov 2, 4 PM — quietNov 2, 7 PM — quietNov 2, 10 PM — quietNov 3, 1 AM — quietNov 3, 4 AM — quietNov 3, 7 AM — quietNov 3, 10 AM — quietNov 3, 1 PM — quietNov 3, 4 PM — quietNov 3, 7 PM — quietNov 3, 10 PM — quietNov 4, 1 AM — quietNov 4, 4 AM — quietNov 4, 7 AM — quietNov 4, 10 AM — quietNov 4, 1 PM — quietNov 4, 4 PM — quietNov 4, 7 PM — quietNov 4, 10 PM — quietNov 5, 1 AM — quietNov 5, 4 AM — quietNov 5, 7 AM — quietNov 5, 10 AM — quietNov 5, 1 PM — quietNov 5, 4 PM — quietNov 5, 7 PM — quietNov 5, 10 PM — quietNov 6, 1 AM — quietNov 6, 4 AM — quietNov 6, 7 AM — quietNov 6, 10 AM — quietNov 6, 1 PM — quietNov 6, 4 PM — quietNov 6, 7 PM — quietNov 6, 10 PM — quietNov 7, 1 AM — quietNov 7, 4 AM — quietNov 7, 7 AM — quietNov 7, 10 AM — quietNov 7, 1 PM — quietNov 7, 4 PM — quietNov 7, 7 PM — quietNov 7, 10 PM — quietNov 8, 1 AM — quietNov 8, 4 AM — quietNov 8, 7 AM — quietNov 8, 10 AM — quietNov 8, 1 PM — quietNov 8, 4 PM — quietNov 8, 7 PM — quietNov 8, 10 PM — quietNov 9, 1 AM — quietNov 9, 4 AM — quietNov 9, 7 AM — quietNov 9, 10 AM — quietNov 9, 1 PM — quietNov 9, 4 PM — quietNov 9, 7 PM — quietNov 9, 10 PM — quietNov 10, 1 AM — quietNov 10, 4 AM — quietNov 10, 7 AM — quietNov 10, 10 AM — quietNov 10, 1 PM — quietNov 10, 4 PM — quietNov 10, 7 PM — quietNov 10, 10 PM — quietYesterday, 1 AM — quietYesterday, 4 AM — quietYesterday, 7 AM — quietYesterday, 10 AM — quietYesterday, 1 PM — quietYesterday, 4 PM — quietYesterday, 7 PM — quietYesterday, 10 PM — quietToday, 1 AM — quietToday, 4 AM — quietToday, 7 AM — quietToday, 10 AM — quietToday, 1 PM — quietToday, 4 PM — quietToday, 7 PM — quiet 1
Oct 31Nov 1Nov 2Nov 3Nov 4Nov 5Nov 6Nov 7Nov 8Nov 9Nov 10now · 9:20 PM ET
  1. 1

    Goldman finds younger workers adapting better to AI disruption

    Younger, college-educated, and urban workers show cumulative real earnings losses about half as large as other technology-displaced workers over 10 years. Younger AI-displaced workers cycle through fewer temporary jobs and are less likely to hold second jobs alongside new full-time work. College students are increasingly choosing majors with lower AI exposure.

    “Younger workers may be able to adapt more flexibly to AI disruption. He called that an encouraging sign given concerns that AI-driven job losses could disproportionately affect recent graduates.”
    — Pierfrancesco Mei

    • https://www. europesays.com/unitedstates/79 768/ Goldman says AI layoffs are starting to look ‘long-lasting,’ just like the last 40 years of history # GoldmanSachsGroup # Jobs # Jobs &Labor # labor # layoffs # Unemployment

      UnitedStates@pubeurope.comMastodon13d agoview on Mastodon ↗
  2. background

    Goldman reports wage penalties for displaced workers — Of long-tenured workers who lost full-time jobs from 2023 through 2025 and found full-time work again, 49% were earning as much as or more than before, down from 62% in the prior survey. Historical research shows tech-displaced workers experience persistently slower earnings growth and higher odds of future unemployment.

  3. background

    Goldman finds age gap in AI job displacement recovery — Older workers aged 35 and older face significantly slower recovery, taking about five weeks longer than other displaced workers to return to full-time work, compared to about three weeks for those under 35. This mirrors age disparities seen in earlier technological disruptions.

  4. background

    Goldman Sachs releases research on AI-displaced workers' job recovery patterns — Goldman economist Pierfrancesco Mei analyzed workers displaced from AI-exposed jobs since 2025 and found they took about a month longer to find new jobs than other displaced workers, with roughly 10 percentage points more remaining unemployed a year after displacement. The impacts mirror patterns Goldman documented across four decades of technology-driven job losses.