AI Layoffs Backfire: Why Companies Are Desperately Rehiring Human Customer Service Agents
Hrd America15 hours ago
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AI Layoffs Backfire: Why Companies Are Desperately Rehiring Human Customer Service Agents

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ai
layoffs
rehiring
customerservice
trends
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Summary:

  • Gartner predicts 50% of companies that cut customer service staff due to AI will rehire by 2027

  • AI-triggered layoffs have overshot as organizations realize AI can't fully replace human expertise and empathy

  • Only 20% of customer service leaders actually reduced staffing due to AI – most use AI to augment human work

  • 5.3% of terminated employees are being rehired in a new "layoff boomerang" trend driven by AI miscalculations

  • Experts warn against "AI washing" where companies attribute layoffs to AI when cuts are financially motivated

The AI Layoff Reversal Trend

AI redundancies are coming full circle as forecasts warn employers will need those workers back. Employers that cut staff as they rolled out artificial intelligence may soon be hiring many of those workers back, according to new predictions that suggest AI-triggered layoffs have overshot.

When AI redundancies backfire: Employers now scrambling to rehire humans

The Startling Predictions

Gartner now forecasts that by 2027, 50% of companies that attributed customer service headcount reductions to AI will rehire staff to perform similar functions, even if the roles return under different titles.

Forrester's 2026 future of work outlook reaches a similar conclusion: "We expect half of AI-attributed layoffs to be quietly reversed, with jobs returning offshore or at lower wages."

Both forecasts point to a growing risk for employers – and HR leaders in particular – that early, high-profile cuts justified by AI may prove both short-lived and costly to unwind.

Have We Gone Too Far with AI Replacements?

The prediction comes amid recent reports of widespread redundancies due to AI. Amazon was previously reported to axe 16,000 jobs to push for AI and efficiency, following an earlier 14,000 layoffs across the organisation.

Data from Challenger, Gray & Christmas revealed that AI was responsible for 54,836 announced layoff plans in 2025, and has been cited in 71,825 job cut announcements since 2023.

But according to Gartner, the story behind recent staff reductions is more complicated than a simple productivity revolution.

"While AI-driven layoffs have captured attention, the reality is more complex," said Kathy Ross, senior director analyst in Gartner's Customer Service & Support practice.

Gartner's October 2025 survey of 321 customer service and support leaders found that only 20% had actually reduced agent staffing because of AI. Most said headcount remained steady even as they handled more customers, indicating that AI was primarily augmenting human work rather than replacing it.

Forrester also noted that some organisations are engaging in an "AI washing" trend, where they attribute layoffs for future AI implementation despite the cuts being financially motivated.

"AI simply isn't mature enough to fully replace the expertise, empathy, and judgment that human agents provide. Relying solely on AI right now is premature and could lead to unintended consequences," said Emily Potosky, senior director, research in the Gartner Customer Service & Support practice.

The Layoff Boomerang Trend

This consequence was felt first-hand by the Commonwealth Bank of Australia, which last year walked back on its decision to lay off a number of employees following the introduction of a new voice bot system.

"CBA's initial assessment that the 45 roles in our Customer Service Direct business were not required did not adequately consider all relevant business considerations and this error meant the roles were not redundant," a CBA spokesperson previously told HRD.

The situation is part of what experts are calling a new "layoff boomerang" trend, according to Axios, citing data from people analytics firm Visier.

Its recent report showed that 5.3% of terminated employees are being rehired by their former employers, an uptick from a relatively stable rate since 2018.

Andrea Derler, Visier's head of research and value, told Axios that was an indicator of AI-driven hiring and firing practices.

"The idea that now AI is coming and replacing absolutely every job is still really not proven," she said.

In fact, data indicates that employers are realizing the limits of AI and are being forced to reinvest in human employees.

"As organisations encounter the limits of AI and rising customer expectations, they will need to reinvest in human talent to sustain service quality and growth," Ross stated.

What Should Employers Do Moving Forward?

Experts all suggested the need to plan carefully in the future when managing job cuts related to AI.

"Leaders should ask: Which roles can be replaced by AI? What's the cost, what's the risk, and what's the plan for the people and skills left behind?" Visier said on a LinkedIn post.

Forrester stressed that businesses should invest in rather than replacing human employees.

J. P. Gownder, vice president and principal analyst at Forrester, said how organisations handle AI will define more than just their future success.

"To navigate the complexity around the human and AI era, leaders must prioritise governance and invest in their people — treating AI not as a replacement for human talent but as a tool to enhance it," Gownder said.

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