AI Job Cuts Often Lead to Costly Rehiring
Operators cutting staff for automation should plan workforce needs first, since many firms are rehiring at higher cost.
Updated on Nov. 2, 2026 in Job Search
Live Poll
Do you think companies replacing workers with AI will end up saving money?
Gartner projects that by 2029, around 30% of employees terminated and replaced by AI will be rehired, typically at greater cost to the enterprise. The projection lands on businesses cutting staff in favor of automation, now that research and company examples show many reversing those decisions.
Why it matters
Gartner research traces these kneejerk replacements to a lack of effective workforce planning, with only 19% of firms having practices to assess AI's workforce impact. Companies are deciding how many people to let go before understanding what work is actually required, which is the wrong order of operations.
Gartner projects around 30% of AI-replaced employees will be rehired by 2029, typically at higher cost to the enterprise. Forrester found 55% of companies that cut staff for automation regretted the move, while only 19% of firms have practices to assess AI's workforce impact.
The players
Gartner
A global research and advisory firm whose analysts advise enterprise technology and workforce leaders on strategy and planning.
Forrester
A research and advisory firm that publishes survey-based analysis of corporate technology adoption and its business outcomes.
Ford Motor Company
A large automaker whose manufacturing and engineering operations span global markets and supply chains.
Commonwealth Bank of Australia
Australia's largest retail bank, which reversed a customer service cutback after replacing more than 40 staff with an AI chatbot.
The details
Organizations often use a top-down approach, deciding headcount reductions first and then assuming AI can absorb the work. A bottom-up workforce approach starts with today's jobs, skills and headcount and assesses how AI could change them, a sequence Gartner says most firms are not following. Some companies are shifting work offshore to avoid the higher cost of rehiring domestically.
Timeline
Forrester published its finding that 55% of companies regretted automation-driven cuts roughly a year before this report.
Earlier this year, a research paper suggested firms were using AI as a layoff excuse.
This summer, Ford reportedly began rehiring hundreds of experienced engineers to address quality issues AI could not handle.
Gartner projects that by 2029, around 30% of AI-replaced employees will be rehired.
Market Landscape
Forrester's prior-year research found 55% of companies that cut staff for automation regretted the move, establishing a pattern that Gartner's 2029 rehiring projection now quantifies. Firms that offshored roles to avoid rehiring at higher rates are following a separate cost-avoidance path that is becoming more common.
Operators planning headcount reductions should map which work requires human skills before committing to cuts, since rehiring can cost more than the original roles. Hiring managers should expect demand for experienced staff to return in functions where automation has underperformed.
The takeaway
Treat AI-driven workforce cuts as a planning decision, not a cost shortcut, and document the work each role performs before reducing headcount. Track rehiring and offshoring costs over the next two years against the savings projected from the original cuts.
Further reading
For context on how hiring demand is shifting, explore the Job Search section.
Source note: This article includes information reported by ITProUK.
Live Poll
Do you think companies replacing workers with AI will end up saving money?
