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TL;DR
A survey commissioned by talent-software company SHL found that 19.1% of surveyed U.S. workers said they had been replaced by AI and later asked back by the same employer. Other surveys report companies rehiring some AI-cut roles, but the results are self-reported and come from firms that sell workforce services. Commonwealth Bank’s 45 call-center jobs are the clearest documented case in the source material; Ford’s engineer hires do not establish that AI caused earlier cuts.
A survey published by SHL on October 29 found that 19.1% of surveyed U.S. workers said their employer had replaced them with AI and later asked them to return. The finding adds to other reporting on AI-related job cuts, but it is self-reported evidence—not a verified count of layoffs caused by AI.
SHL, which sells talent-assessment software and services, commissioned Propeller Insights to survey 2,036 employed adults in the United States and United Kingdom in June and July 2026. Of the respondents, 1,029 were in the U.S. and 1,007 in the U.K. SHL reported that 16% overall said they had personally been replaced by AI and later asked back by the same employer: 19.1% in the U.S. and 12.8% in the U.K. The share among respondents aged 18 to 24 was 23.8%.
The results measure what workers reported, not independently confirmed employment histories. SHL gives a five-percentage-point margin of error at 95% confidence, and the wording relies on respondents’ understanding of what it means to be “replaced by AI.” A company’s announcement of an AI initiative alongside a job cut does not by itself establish that a system took over the worker’s tasks.
Separate employer surveys point in a similar direction. Outplacement firm Careerminds said that about two-thirds of surveyed HR professionals at companies that had cut jobs for AI reported that their employer had rehired at least a quarter of those roles. Careerminds also reported that only 8.4% would repeat their AI restructuring unchanged. In the same survey, 30.9% said rehiring cost more than the cuts saved, 42.4% said costs and savings were roughly even, and 26.7% said the company came out ahead—an outcome that echoes earlier tech-industry upheavals.
Infographic 01 · Who counted the boomerang
Four surveys, four sponsors, one pattern
Workers and employers both report AI layoffs that were reversed. Every number comes from a company that sells a fix, so here is who asked whom, and when.
SHL
2,036 employed adults, US + UK, online panel · Jun–Jul 2026
Careerminds
600 HR professionals at firms with layoffs · Feb 2026
Orgvue
300 US HR managers · Sep 2025
Robert Half
US hiring managers (sample not published) · published 2026
Forecasts, not measurements
- Forrester: half of AI-attributed layoffs “quietly reversed”, jobs returning “offshore or at lower wages”.
- Gartner (reported): half of firms that cut customer-service staff for AI rehire for similar functions by 2027; 30% of AI-cut employees need rehiring by 2029.
Each survey asks a different question, so the numbers can’t be added up or compared directly. “Because of AI” is self-reported. SHL’s margin of error: 5 points at 95% confidence (whole sample).
Sources: SHL, Talent Mobility at Work in 2026 (29 Oct 2026) · Careerminds, 19 Feb 2026 · Orgvue, 12 Mar 2026 · Robert Half · Forrester, Predictions 2026 · Gartner, as reported by CX Dive.
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The Cost of Reversing AI Cuts
The surveys challenge a simple account of automation in which companies replace workers, maintain the same output and keep the savings. Rehiring can erase expected cost reductions, while a failed rollout may leave remaining staff covering work the system cannot handle. Careerminds’ cost figures are respondents’ assessments, not audited company accounts, but they show why workforce cuts made on expected AI savings can carry operational and financial risks.
For workers, a return offer is not automatically a full restoration of the old job. SHL reported that half of surveyed workers would want a significant pay increase to come back. The source also cites a Forrester forecast that some reversed roles may return offshore or at lower wages. That is a prediction, not evidence that any particular employer has done so. The terms, pay and security attached to a return will shape whether it is a genuine recovery for the worker.
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Cases Behind the AI Rebound
The source describes Commonwealth Bank of Australia as the clearest documented reversal: the bank cut 45 call-center jobs as a new AI voice bot began taking calls. Weeks later, a union said calls were accumulating and team leaders had returned to answering them. The bank apologised to the 45 affected workers, calling the decision an “error.” The account links the cuts to the bot’s introduction, though the union’s description of service problems remains an attributed claim.
Other examples require more caution. Ford hired roughly 300 veteran engineers to review designs by hand, according to the source, but did not say it had previously cut those workers because of AI. Amazon has said that rehiring former employees is routine. Those examples may reflect renewed demand for human expertise, but they do not establish that either company reversed AI layoffs.
The report is part of a wider debate over AI and employment. A previous article cited Challenger, Gray & Christmas data showing companies attributed 120,136 announced U.S. job cuts to AI in the first nine months of 2026, compared with 54,836 for all of 2025. Those figures record reasons given in announcements; they do not prove that AI performed the work or caused every cut. The rebound surveys likewise describe reported experiences and employer decisions, rather than a complete labor-market count.
““error””
— Commonwealth Bank
What the Survey Figures Cannot Show
The surveys do not establish how many workers were objectively displaced by AI, whether a system directly took over their duties, or how many return offers led to a lasting job. Self-reports can capture real experiences, but the results depend on how respondents understood the questions and remembered events. SHL’s stated margin of error also means its percentages should not be treated as precise counts, particularly when considering the U.S. subgroup separately.
The employer findings have further limits. Careerminds sells outplacement and redeployment services, while SHL sells talent software; both have commercial interests in workforce planning. The source also cites findings from Orgvue and Robert Half, and a Forrester prediction, but these are not a shared administrative dataset. Survey sponsorship does not invalidate results, but readers should distinguish reported opinions from independently verified company records. Beyond the Commonwealth Bank case, the material does not document a complete set of specific AI layoffs followed by rehiring.
Evidence to Watch in Future Reports
The next useful evidence would track individual employers over time: which roles were cut, what work AI actually took over, whether the company later rehired, and how pay and job duties changed. Company disclosures and worker records could clarify whether return offers were temporary fixes or durable reversals. Until such evidence is available, the scale of AI-related rehiring remains uncertain.
For now, the SHL and employer surveys indicate that some workers and companies report a return to roles associated with AI cuts. They do not settle how common that outcome is across the labor market, or whether the returning jobs restore the same pay and conditions. The clearest next step is closer scrutiny of documented employer cases and the terms of rehiring, rather than treating survey percentages as a definitive count.
Key Questions
How many U.S. workers said they were replaced by AI and later asked back?
19.1% of U.S. respondents in SHL’s survey said this had happened to them. The survey included 1,029 U.S. adults and was conducted in June and July 2026; it is not a verified count of workers.
Does the SHL survey prove that AI caused those job cuts?
No. The result is self-reported, and respondents may differ in how they understand “replaced by AI.” The survey does not independently confirm the reason for each layoff or what tasks the technology performed.
Which case is the clearest reported reversal?
The source identifies Commonwealth Bank’s 45 call-center jobs as the clearest documented example. It says the bank apologised to the workers and called the decision an “error” after a union reported calls were piling up and team leaders had returned to phone work.
Did Ford reverse AI-related layoffs by hiring engineers?
The source says Ford hired roughly 300 veteran engineers to review designs, but Ford did not say it had cut those workers because of AI. The hiring alone does not establish an AI-layoff reversal.
Source: ThorstenMeyerAI.com
