The AI Boomerang
1 min
Companies spent the past two years cutting staff on the promise that AI could do the work for less. Some are now hiring those roles back. The pattern has a name: the AI boomerang. It rarely means getting the same people back. More often, companies hire new people into similar roles and pay for them to relearn what the old staff already knew. How often it happens Two 2026 surveys asked employers whether their AI cuts held, and many said no. In a 2026 survey of more than 2,000 U.S. hiring managers by staffing firm Robert Half, 32% said their organization had cut a role primarily because of AI, then later rehired for that exact role. Robert Half’s own write-up rounds this to three in ten employers. Finance led at 44%, followed by HR at 35% and technology at 32%. Careerminds, an outplacement firm, surveyed 600 HR professionals in February 2026 whose organizations had made layoffs in the prior year. About two-thirds had already rehired at least a quarter of the roles they cut, and more than half said rehiring came within six months. When Robert Half asked managers why they rehired, the most common answer was institutional knowledge: the undocumented context about customers, systems and past decisions that leaves with the people who hold it. Does it save money? For most companies in the Careerminds survey, no. Once rehiring costs were counted, nearly three in four were no better off than before the layoffs. Replacing a worker with AI costs more than a software license. It adds model usage, integration, maintenance and the people still needed to check the AI’s output. Rehiring adds recruiting, onboarding and the months a new hire spends learning what the old one knew. More than half of HR leaders in the survey said a clearer understanding of AI’s capabilities would have led to better restructuring decisions. Klarna, the test case Klarna said in 2024 that its AI assistant was doing the work of about 700 customer service agents. In May 2025, CEO Sebastian Siemiatkowski told...
