Friday Jul 3
STRATEGYOther

Finance And Tech Lose 28,000 Jobs Monthly

3JUL
1,115/DAYPAYROLLS-28K/MO

AI is starting to show up in payroll numbers now. Finance and tech payrolls are shrinking 28,000 jobs a month. AI-cited layoffs already total 87,714 this year, more than all of 2025 combined.

Government data show it now, not just anecdotes. The decline is fastest in finance and information, the two most AI-exposed sectors.

Barclays economist Pooja Sriram says some of this is real productivity, not job cuts. Other cuts are cost-cutting labeled as AI strategy. A separate NBER survey found 90% of executives saw no AI impact yet.

The gap between what happens and what gets blamed on AI is wide. Watch whether this spread keeps widening or the anecdote catches up to the data.

full brief & sources

⚡ Why this matters

  • This is the first hard payroll data tying AI to job cuts, not just company press releases.
  • The Barclays-versus-NBER split shows nobody agrees yet on how much of this is AI versus normal cost-cutting.
  • Whichever read is right, it changes how PMs justify or defend headcount plans this year.

🔍 What happened

  • US financial-activities and information-sector payrolls are shrinking 28,000 jobs a month on average, per Bloomberg's read of government data.
  • 1,115 layoffs a day so far in 2026, versus 564 a day in 2025, per Challenger, Gray & Christmas.
  • AI has been cited in 87,714 job cuts this year, already above all of 2025's 54,836.
  • Barclays economist Pooja Sriram says some of the cuts are genuine productivity gains, some are cost-cutting labeled as AI.
  • A separate NBER paper surveying nearly 6,000 executives found 90% saw no employment impact from AI at their own firm in the past three years.

💬 Smart takes

  • Pooja Sriram, Barclays: 'The narrative that keeps coming up is really a cost-cutting exercise by a lot of firms.'
  • John Challenger, Challenger Gray & Christmas: 'It's certainly making an impact... in a way that no technology has before.'
  • Skeptic (NBER): those same executives predict AI will cut their own employment 0.7% over the next three years, the opposite of what employees expect.

🧭 Where this goes

  1. LikelyQ3 layoff data shows the same finance-and-tech concentration continuing.
  2. Possiblecompanies start citing AI less often in layoff announcements to avoid legal and PR scrutiny.
  3. Possiblea formal wage-insurance or retraining policy proposal gains traction if the trend holds through year-end.
  4. Wild Cardthis becomes a 2026 election-cycle talking point before the data is fully understood.

🥄 The Spoon Take

The AI jobs story just got its first hard data point, and it's messier than either camp wants. Executives blame AI for cuts they'd make anyway. Economists can't agree how much is real. Something is happening. Nobody has isolated the cause yet.

🤔 Pushback

Challenger's own data shows AI cited in only 17 to 26% of layoffs, and most cuts still get blamed on the economy, not algorithms.

·Bloomberg - 28K jobs cut monthly·NBER - Firm Data on AI·Yahoo Finance - 28K jobs a month