55% of companies that cut jobs for AI now regret it. For every $1 saved, they burned $1.27.

The AI boomerang is real and it's expensive.

Forrester's Predictions 2026 report confirms what the balance sheets already show: 55% of employers who cut jobs to deploy AI now regret it. Orgvue's data is worse. They calculated companies spend $1.27 for every $1 they claw back through workforce reductions.

That's not a rounding error. That's a wealth transfer from your P&L to your recruiter.

The pattern is identical across industries. Klarna slashed headcount from 5,500 to 3,400 and bragged that its OpenAI assistant did the work of 700 agents. Then customer satisfaction cratered. The CEO told Bloomberg the all-AI approach produced "lower quality" service. They're hiring again.

Commonwealth Bank of Australia cut 45 customer service roles citing an AI voice-bot. Weeks later they backtracked, admitting the assessment "did not adequately consider all relevant business considerations." This happened the same year the bank booked a record A$10.25B cash profit.

Careerminds surveyed 600 HR leaders in February 2026. Nearly a third, 30.9%, spent more on rehiring than they saved by automating. 42.4% said savings and restaffing costs cancelled each other out. Only about a quarter finished ahead.

Gartner expects half the companies that trimmed customer service for AI to rehire by 2027. Forrester predicts half of all AI-attributed layoffs reverse by year end.

Audit your workforce plan today. If your AI ROI model assumes permanent headcount reduction, your numbers are wrong. The companies that treated AI as augmentation are outperforming the ones that treated it as replacement. That gap is now measured in billions.