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TL;DR
Surveys from SHL, Careerminds and other firms report that some workers and employers have reversed AI-linked job cuts. The figures are not a verified count of layoffs, and the clearest documented example in the source material is Commonwealth Bank’s apology to 45 call-center workers.
A survey by talent-software company SHL found that 19.1% of US workers surveyed said they had been replaced by AI and later asked back by the same employer. The finding adds to a series of employer and worker surveys suggesting some AI-related job cuts are being reversed, though the results are self-reported and do not establish how many workers were actually displaced by automation.
SHL commissioned Propeller Insights to conduct an online survey of 2,036 employed adults in the United States and United Kingdom in June and July 2026. Of the respondents, 16% overall said they had personally been laid off or replaced by AI and then asked to return by the same employer. The share was 19.1% in the US and 12.8% in the UK; among respondents aged 18 to 24, it was 23.8%. SHL reported a five-percentage-point margin of error at 95% confidence.
Other surveys describe employers reversing cuts, but they use different samples and questions. Outplacement firm Careerminds surveyed 600 HR professionals at organizations that had made layoffs in the previous year. Among respondents whose companies had cut jobs for AI, about two-thirds said their employer had rehired at least a quarter of the affected roles. In the same survey, 30.9% said rehiring cost more than the cuts saved, 42.4% said the costs were roughly even and 26.7% said the company came out ahead. Only 8.4% said they would repeat the AI restructuring unchanged.
Further surveys from Orgvue and Robert Half each found that 32% of surveyed organizations or hiring managers had reinstated roles after AI-linked cuts. These are separate survey results, not independent counts of all companies. Forrester, meanwhile, predicts that half of AI-attributed layoffs will be “quietly reversed”; that is a forecast, not a measured outcome.
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 raise a practical question for employers: whether projected savings from replacing workers with AI account for the costs of correcting errors, restoring service and rehiring experienced staff. Careerminds’ figures suggest that, among the HR respondents it surveyed, most companies did not report coming out ahead once they brought roles back. The survey does not establish that AI alone caused those costs, or that its respondents represent employers generally.
For workers, a reversal does not necessarily mean a return on the same terms. SHL reported that half of the workers surveyed would require a significant pay increase to come back. Forrester expects some reversed roles to return offshore or at lower wages. That is a prediction, and the source material does not provide a verified tally of workers who returned at reduced pay. Still, the evidence points to a distinction between restoring work and restoring the original job, compensation or employment conditions.
The findings matter as companies announce workforce reductions associated with AI. A layoff announcement can cite AI without showing that a system has taken over a specific worker’s tasks. Measuring whether a job was truly automated, whether it returned and what the reversal cost requires more than a survey response or an employer’s public explanation.
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Three Cases, Different Evidence
The source material identifies Commonwealth Bank of Australia as the clearest documented example of an AI-related reversal: the bank cut 45 call-center jobs as a voice bot began handling calls, then apologized to the affected workers for what it called an “error.” The union said calls were accumulating and team leaders were returning to phone work. Those details describe a specific dispute; they should not be treated as proof that every AI-related cut has followed the same pattern.
Two other cases have more limited connections to the claim. Ford hired roughly 300 experienced engineers to review designs manually after executives said they had expected AI to deliver quality on its own, according to the source material. It does not say Ford had laid off those engineers because of AI. Amazon said rehiring former employees is routine, which does not by itself show that the company reversed AI-related layoffs.
The report is a follow-up to earlier coverage cited by ThorstenMeyerAI.com. Challenger, Gray & Christmas said US companies announced 120,136 job cuts attributed to AI in the first nine months of 2026, compared with 54,836 for all of 2025. Those figures track announced reasons for cuts, not confirmed cases in which AI performed the affected work. A separate source article cited Goldman Sachs research finding that the first workers it considered likely to have been displaced by AI searched about a month longer for a new job.
““error””
— Commonwealth Bank of Australia
What the Surveys Cannot Confirm
The SHL result depends on respondents’ interpretation of being “replaced by AI.” A worker may associate a layoff with an AI program announced at the same time without knowing whether software took over their tasks. The survey records people’s answers; it does not verify individual employment histories or establish that AI caused each job loss and return.
The reported five-percentage-point margin of error applies to the overall survey under its stated assumptions; estimates for the US subgroup may be less precise. The source material does not provide full question wording, subgroup margins of error or enough methodological detail to compare all the surveys directly. Their populations and definitions differ, so their percentages should not be combined into a single rate.
Nor do the available examples establish how common reversals are across the labor market. The source describes Commonwealth Bank’s 45 jobs as the clearest documented reversal, while Ford’s hires are not identified as a rehiring of AI-displaced engineers and Amazon describes routine rehiring. It remains unclear how many employers reversed AI cuts, how many workers returned, and what happened to their pay and responsibilities.
Evidence Needed Beyond Surveys
The immediate next step is to treat the survey figures as indicators of reported experience, not a verified count of AI-driven layoffs or reversals. SHL’s report was published October 29, 2026; the source material does not identify a forthcoming follow-up survey or an official audit of the claims. Readers should look for future reporting that verifies employer decisions, job duties and rehiring outcomes against company records or worker accounts.
For employers, a useful accounting would compare the original savings with the full cost of a cut and any reversal, including recruitment, training, service disruption and compensation. The Careerminds survey offers respondents’ estimates of whether rehiring cost more or less than the savings, but does not provide an independently audited financial total.
Until more direct evidence is available, the cases should be kept separate: Commonwealth Bank’s 45 positions are the most clearly documented reversal described here; Ford’s engineering hires and Amazon’s routine rehiring do not establish AI-related layoffs being undone. Whether broader reversals are widespread, and whether returning workers regain their former pay and roles, remains unsettled.
Key Questions
What does the SHL survey say about US workers?
19.1% of US respondents said they had personally been replaced by AI and later asked back by the same employer. The figure comes from a self-reported survey, not a verified count of workers.
Does the survey prove AI caused those layoffs?
No. Respondents reported their own experiences, and the survey does not independently verify whether AI performed their work or caused a specific job loss.
What is the clearest documented reversal in the report?
The source material points to Commonwealth Bank’s 45 call-center jobs. The bank apologized to the affected workers, while the union said calls were piling up and team leaders had returned to phone work.
Did all the companies mentioned rehire workers after AI layoffs?
No. Ford hired roughly 300 veteran engineers, but the source does not say they had been cut because of AI. Amazon described rehiring former employees as routine, not as a reversal of AI-related layoffs.
Did employers save money after rehiring?
In Careerminds’ survey, 30.9% of the relevant HR respondents said rehiring cost more than the cuts saved, 42.4% said the amounts were about even, and 26.7% said the employer came out ahead. These are survey responses, not audited financial results.
Source: ThorstenMeyerAI.com
