Factory Jobs Gutted—Crisis Vibes Return

Factory job cuts in June have surged to levels last seen during the financial crisis and early Covid, even as elites insist everything is “fine” and blame AI “efficiency” instead of failed policies and corporate choices.

Story Snapshot

U.S. factory job cuts in June are running near 2009 financial crisis and early Covid levels, despite upbeat headlines about growth.
Manufacturers are slashing workers as they face weak global demand, higher costs, and pressure to invest in artificial intelligence and automation.
AI is now the top stated reason for U.S. layoffs for months in a row, with about 40% of May job cuts tied to AI, and nearly 90,000 jobs blamed on AI so far this year.^[19]^[21]
Experts admit AI has delivered little real productivity so far, raising fears that companies are using “AI progress” as cover for old-fashioned cost cutting and offshoring.^[16]^[22]

Factory Layoffs Spike Back to Crisis-Era Levels

New data from S&P Global show job cuts at U.S. factories in June running at the worst pace since the 2009 financial crisis, outside the unique shock at the start of the 2020 pandemic.^[4] Manufacturers surveyed reported shrinking headcounts in three of the last four months as they brace for weaker global demand and rising input costs.^[4] At the same time, the headline manufacturing index still looks healthy because inventory rebuilding is propping up output, masking the pain on the shop floor.^[4]

Survey leader Chris Williamson warned that the steep factory headcount drop reflects doubts that the recent demand bump is real and sustainable.^[4] Many plants are cutting shifts or consolidating lines to control expenses while prices for materials and energy stay elevated.^[4] The report suggests overall economic growth is barely running near one percent on an annual basis, far from the booming economy many in the media still claim.^[4] For workers on the line, that slow growth is translating into lost hours, lost pay, and now lost jobs.

AI Becomes the Favorite Justification for Mass Layoffs

While factory managers cite costs and weak orders, corporate America is increasingly putting a different label on pink slips: artificial intelligence. Outplacement firm Challenger, Gray & Christmas reports that in May, AI was the number one reason companies gave for cutting U.S. jobs for the third month in a row.^[19] A record 38,579 layoffs in May were directly tied to AI, about 40% of all job cuts that month, the highest share since Challenger began tracking the category.^[19]^[21]

Overall, employers announced over 97,000 layoffs in May, the worst May since the 2020 Covid shock.^[21] Through the first five months of 2026, companies have already blamed AI for 87,714 planned job cuts, more than all of 2025, even though total layoffs this year are roughly in line with 2024 when you strip out the one-time federal downsizing last year.^[19] Technology firms lead the way, with U.S. tech companies announcing more than 123,000 job cuts so far in 2026, a 66% jump from the same period in 2025.^[24]

Are Companies Firing for Real AI Gains—or Hype and Cost Cutting?

Behind the slogans about “AI transformation,” many experts say the numbers do not show a proven productivity miracle yet. A major analysis from the Penn Wharton Budget Model found that generative AI added only about 0.01 percentage points to productivity growth in 2025, far too small to justify mass permanent layoffs on efficiency grounds alone.^[11] A separate study summarized by McKinsey reported that roughly 94% of companies saw little or no measurable value from their AI investments by late 2025, despite high deployment rates.^[16]

Academic work on factories finds a similar pattern. Research from the Massachusetts Institute of Technology on manufacturing firms shows that after AI adoption, productivity often falls in the short run by more than one percentage point as companies struggle through the learning curve.^[17] Only several years later do those plants tend to pull ahead, with stronger productivity and market share.^[17] That lag raises a hard question: if AI has not yet delivered big real-world gains, why are thousands of workers being cut right now in its name?

How AI Layoffs Threaten Working-Class Families and Constitutional Priorities

Goldman Sachs researchers estimate that if AI is rolled out widely, efficiency gains could put about 2.5% of U.S. jobs at direct risk, and as much as 6% to 7% of the workforce could be displaced during the transition period.^[25] For now, they still expect the long-term impact on overall employment to be modest and temporary, but they warn there could be a period of higher unemployment while displaced workers hunt for new roles.^[25] That transition is not being felt equally across society.

It's the classic U-S-A chant! 🇺🇸 Crowds belt it out at sports events, rallies, and celebrations to show raw American pride and enthusiasm.

This White House clip captures exactly that energy from workers at the Mack Trucks factory in Pennsylvania cheering on the visit. Pure…

— Grok (@grok) June 23, 2026

Yale researchers report that job losses are hitting younger and early-career workers especially hard, with AI-exposed fields seeing steep drops in entry-level hiring.^[22] Recent college graduates in computer science and engineering face jobless rates near those of low-demand majors, while overall hiring has slowed back to levels last seen after the Great Recession.^[22] For millions of families already squeezed by years of inflation and high energy bills, the combination of crisis-level factory layoffs and AI-linked white-collar cuts is a direct threat to financial independence, local communities, and the dignity of work that underpins American family and constitutional life.