55% of executives who cut jobs for AI now regret it. The rehiring wave costs more than the layoffs saved.

87,714 workers cut for AI through May 2026.

55% of the leaders who made those cuts now say they were wrong.

Forrester, Orgvue, and Robert Half all converged on the same number independently.

Here is what they missed:

Ford deployed 900 AI cameras for quality control. The AI missed defects that veteran engineers caught instantly. Ford rehired 300-350 engineers. They became the top mainstream brand in JD Power's 2026 quality study.

IBM automated 94% of routine HR requests. The critical 6% needed human judgment. Now they are tripling US entry-level hiring in 2026.

The financial damage of reversal is brutal. Robert Half data shows rehired workers command 20-35% salary bumps over the roles they replaced. Add recruiting costs, onboarding time, and the institutional knowledge that walked out the door, and the "savings" from the original layoffs turn negative within months.

Goldman Sachs confirmed the market agrees. Stocks now drop roughly 2% after AI layoff announcements. Investors stopped rewarding the cut-and-announce playbook.

Gartner projects 50% of AI-attributed layoffs will be reversed by 2027. We are watching it happen in real time.

The companies getting this right — IBM, Ford, Commonwealth Bank — deployed AI against work, not against workers. They augmented judgment instead of eliminating it.

Audit your workforce restructuring plan. If your AI strategy starts with headcount reduction, you are building a reversal into the budget. The CFO who approved those cuts will not approve the 35% premium to rehire the people you should never have let go.