AI Layoffs See 55% Regret as Companies Anticipate Rehiring Surge by 2027, TechGig

A growing number of employers are rethinking artificial intelligence (AI)-driven workforce reductions, with several already rehiring workers after discovering automation could not fully replace human expertise. This reassessment comes as multiple studies highlight a reality check for the promise of AI replacing large sections of the workforce.

According to Forrester‘s Predictions 2026 report, 55% of employers who reduced headcount citing AI now regret those decisions. This finding is independently corroborated by Orgvue’s annual workforce study.

Meanwhile, Gartner forecasts that 50% of companies that reduced customer service headcount due to AI will need to rehire for similar functions by 2027, indicating that automation has not eliminated the need for human support in many customer-facing roles.

The Value of Human Expertise

The workforce rethink is evident in individual company decisions. American Bazaar reported that Ford rehired and promoted more than 350 experienced engineers after deploying automated quality control systems and allowing veteran engineers to leave.

Quality gaps emerged because automated systems could not replicate years of engineering expertise. A Ford vice president, quoted by BERI, stated, “AI is only as good as the information and expertise used to train it.”

Forrester’s research suggests organisations commonly made three mistakes when implementing AI-led workforce reductions, primarily underestimating the value of experience embedded within existing teams. Several organisations have already modified earlier workforce decisions.

Talent Pipeline Concerns

IBM Chief Human Resources Officer Nickle LaMoreaux warned that eliminating entry-level hiring could weaken long-term talent pipelines, stating, “There’s no pipeline; the well simply dries up.”

BERI reported that IBM subsequently reversed its hiring pause across software, consulting, infrastructure, and marketing functions. Booz Allen Hamilton also acknowledged falling behind on hiring after customer demand remained stronger than expected.

According to available reporting, Ford, IBM, Alphabet, Booz Allen Hamilton, and CSX have all indicated renewed recruitment efforts following earlier workforce reductions linked to automation or AI initiatives.

The research also challenges assumptions about the scale of AI-driven job displacement. Forrester expects AI to automate around 6% of global jobs by 2030, significantly below predictions suggesting widespread workforce replacement.

Emerging research suggests many organisations are moving from replacing people with AI to redesigning work around collaboration between technology and experienced employees. Workforce planning is increasingly shifting from reducing headcount to identifying where human judgement remains essential.