An increasing number of companies are reversing earlier layoffs that relied on artificial intelligence to replace human roles, after automated systems fell short of expectations. International examples and industry studies indicate many organisations ultimately see greater value in combining human workers with AI rather than fully substituting people.
Specific cases
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Ford has reportedly rehired several hundred experienced engineers to address quality issues that automated systems could not resolve. Charles Poon, Ford’s vice president for vehicle hardware development, said that artificial intelligence is only as good as the data used to train it.
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Australia’s Commonwealth Bank laid off more than forty customer service employees last year and deployed a voice-based AI system in their place. The solution struggled under increased call volumes, so the bank reversed the layoffs and later acknowledged it had not fully considered all key business factors when announcing the dismissals.
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IBM reported similar limitations after automating parts of its HR functions. The automated system handled approximately 94 percent of routine requests successfully, but could not manage the remaining 6 percent — including various ethical dilemmas. Following this, the company announced it will triple entry-level hiring in the United States in 2026. Nickle LaMoreaux, IBM’s HR leader, warned that without investment in early-career hires, talent pipelines could dry up in three to five years.
Analyses and market data
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A report from Intuition Labs found that firms adopting an “replace people with technology” approach often neglected training and development. As a result, many later regretted layoffs because they had dismissed the very specialists needed to oversee the technology.
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Orgvue’s data show that 55 percent of leaders who carried out AI-related layoffs later considered those dismissals to have been mistakes.
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A Robert Half survey found that 32 percent of U.S. HR leaders eliminated positions primarily because of AI and later rehired someone into the same or a similar role.
Why it matters
Practice shows AI can strengthen processes and reduce routine work, but it does not always substitute for human judgment, contextual understanding, or ethical decision-making. Rehiring trends and the statistics above suggest that long-term strategies increasingly favour human–machine collaboration — including training and ongoing oversight — rather than wholesale replacement.
These examples and studies are prompting organisations to rethink the pace and methods of automation, particularly in areas where quality control, capacity handling, or ethical considerations are critical.
(Lead image: illustration, Getty Images)
