The AI layoffs are backfiring: Why companies are rehiring employees they let go

What started as a rush to replace workers with artificial intelligence is now turning into an expensive reversal, according to an analysis.

Companies including Ford and Klarna are rehiring employees after discovering that AI could not fully replace experienced human workers, highlighting the hidden costs of AI-driven layoffs.

For instance, after deploying AI-powered quality control systems backed by around 900 AI cameras, Ford found that the technology failed to detect defects that veteran engineers could spot. The company rehired around 300 to 350 engineers, with Charles Poon, Vice President of Vehicle Hardware Engineering, saying, "The technology is only as good as the data used to train it. Ford misjudged what AI could do alone."


Klarna also admitted that its AI push had gone too far. CEO Sebastian Siemiatkowski said customer service quality suffered after the company relied heavily on AI, prompting it to bring human workers back into support roles.

The corporate rethink comes as new research from Orgvue shows many business leaders regret AI-related layoffs. In a survey of 1,000 C-suite and senior executives, 39% said they cut jobs after deploying AI, while 55% admitted those redundancy decisions turned out to be mistakes.

The study also found that 34% of companies have seen employees quit because of AI, while nearly half of business leaders worry about staff using AI without proper controls. As a result, 80% now plan to reskill employees to work alongside AI, and more than half are introducing formal AI workplace policies.

Analysts say the AI layoff boom could continue to reverse. According to Forrester, more than half of layoffs attributed to AI are expected to be quietly undone as companies realize that replacing experienced employees too quickly creates operational problems, damages employee morale and hurts business performance.

The financial impact is also growing. Data from Robert Half suggests many rehired workers are returning to hybrid roles that combine AI expertise with human judgment, often securing 20% to 35% higher salaries than before. Once recruitment costs and lost institutional knowledge are added, companies may end up spending more than they initially saved through layoffs.

Experts also warn that replacing entry-level jobs with AI could weaken future talent pipelines by removing the roles where employees traditionally gain experience before moving into senior positions.

Research firm Gartner predicts that half of the companies that cut customer-service staff because of AI will rehire those workers by 2027, reinforcing a growing view that AI works best as a productivity tool rather than a complete replacement for people.