112,713 jobs cut and attributed to AI in 7 months. Tech is bleeding at 28.9x the rate of healthcare. Your workforce plan is based on vibes.

112,713.

That's how many U.S. job cuts employers attributed to AI between January and July 2026.

More than double the 54,836 recorded in all of 2025.

And it's not evenly distributed.

Technology absorbed 4,157 announced cuts per 100,000 workers.

Healthcare absorbed 144.

That's a 28.9x difference in cut density between the two sectors.

The math is brutal: $7.56 billion in annualized payroll represented by those cuts alone.

But here's what the layoff trackers miss.

Stanford Digital Economy Lab found a 19% employment gap for workers aged 22-25 in AI-exposed roles.

The mechanism isn't mass firings.

It's hiring freezes.

Entry-level positions that never get posted generate no WARN notice, no Challenger row, no announcement.

Meanwhile, Census Bureau data shows only 2% of firms reported AI-related employment decreases.

So the displacement is real but invisible.

Your layoff tracker shows the tip.

The federal hiring data shows the iceberg.

Audit your entry-level hiring pipeline today.

If you can't distinguish between "we didn't hire" and "we cut," your workforce model is lying to you.

SOURCE: https://axis-intelligence.com/ai-job-losses-by-industry/
VERIFIED: Challenger Gray & Christmas, BLS CES Table B-1, Stanford Digital Economy Lab, US Census Bureau
SIGNAL: AI displacement is running through reduced hiring of young workers, not mass layoffs. Your workforce plan needs to measure intake, not just separations.