Firms Rehire Staff Cut for AI Replacements
Gartner projects around 30% of employees replaced by AI will be rehired by 2029, often at greater cost to the enterprise.
Updated on Nov. 2, 2026 in Job Search
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Gartner research found that hasty decisions to replace staff with AI stem from weak workforce planning, and it projects that by 2029 around 30% of AI-replaced employees will be rehired. Only 19% of firms have practices to assess AI's workforce impact.
Why it matters
Organizations are deciding how many people to cut before understanding what work is required, leading to costly reversals. Several companies have already rehired staff or reversed cuts after automation fell short.
Gartner projects around 30% of AI-replaced employees will be rehired by 2029, while only 19% of firms have practices to assess AI's workforce impact. The projection has not yet materialized, and the source does not detail how the survey figures were sampled.
The players
Gartner
Gartner is a global research and advisory firm whose workforce and technology analysis is widely cited by enterprise leaders.
Ford
Ford is a major American automaker that has reportedly rehired experienced engineers to address quality issues that AI systems could not resolve.
Commonwealth Bank of Australia
The Commonwealth Bank of Australia is one of the country's largest banks, which reversed its decision to replace customer service staff with an AI chatbot.
The details
Companies including Ford have begun rehiring hundreds of experienced engineers for quality issues AI could not address. The Commonwealth Bank of Australia replaced more than 40 customer service staff with an AI chatbot and then reversed the cuts.
Timeline
Last year, Forrester found 55% of companies regretted automation-driven staff cuts.
Earlier this year, research suggested firms use AI as a layoff excuse.
This summer, Ford reportedly began rehiring hundreds of experienced engineers.
By 2029, around 30% of AI-replaced employees are projected to be rehired.
Job Search
Forrester's prior-year research found 55% of companies that cut staff for automation regretted the move, and Gartner's 2029 projection extends that pattern. Together they suggest a recurring cycle of cuts followed by rehiring at higher cost.
Job seekers may see more openings for roles that were previously automated but later restored, as firms reverse cuts. Workers in customer service and engineering roles may find demand returning where AI proved insufficient.
The takeaway
Organizations that plan their workforce before adopting AI are less likely to face costly rehiring, so assessing which tasks AI can actually handle is a practical first step. Readers evaluating AI-driven job changes can look for employers that map required work before announcing cuts.
Further reading
For more on how workforce changes are reshaping hiring, explore the Job Search section.
Source note: This article includes information reported by ITProUK.
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