29% of companies that fired workers for AI just rehired them. At 20-35% higher salaries.

The math on AI-driven layoffs just collapsed.

A study analyzing millions of Glassdoor reviews, thousands of financial reports, and hundreds of AI layoff announcements from U.S. public companies found the expected productivity gains never materialized.

Here is why.

AI-driven layoffs destroy the one thing that makes AI actually work: employee trust.

Workers who watch colleagues get fired for AI don't embrace the tools. They resist them. Anti-AI sentiment among remaining employees is the single strongest predictor of whether AI investments produce results.

29% of companies that eliminated roles due to AI have since reopened those exact positions.

Rehiring costs 1.5 to 2 times the salary you just "saved."

The reopened roles are paying 20% to 35% more than the positions you cut.

The stock market already priced this in. Average market reaction to AI-linked layoff announcements across hundreds of events? Close to zero.

90% of executives now admit AI has not yet improved productivity at their companies.

Ford is rehiring engineers after automated systems failed on quality. IBM replaced HR with AI that handled 94% of routine requests but stumbled on the 6% that mattered. Commonwealth Bank reversed AI-driven customer service cuts after call volumes increased instead of falling.

If your board is pushing AI headcount reductions as a cost play, show them this data.

You are not cutting costs. You are deferring them at a 35% premium.

The companies winning with AI are not the ones cutting the most jobs. They are the ones redesigning work around human-AI collaboration and measuring output, not headcount.