A growing number of US businesses are discovering that replacing workers with AI is not the cost-saving measure they expected, according to recent research and executive commentary. Specialist site jobloss.ai, which tracks AI-enabled layoffs, reported that 126,000 US employees lost their jobs between January 2025 and June 2026 due to AI-related factors. However, research from Careerminds found that three-quarters of organizations saw AI layoffs cost more than they saved, and nine in 10 companies would reconsider those decisions if given the chance. Analyst firm Gartner estimates that half of companies attributing headcount reductions to AI will rehire staff for similar roles by 2027.
Ankur Anand, group CIO at recruiter Harvey Nash, said it is easy to see why executives view AI as a path to cutting costs. He noted that early messaging from vendors, consultants, and some boards has focused on productivity and doing more with less, with headlines about AI-related layoffs reinforcing the idea that fewer people means faster value. Anand argued that firms treating AI primarily as a cost-cutting tool are missing the larger opportunity to combine technological capability with human excellence. He described such an approach as using a growth technology to run a shrinkage plan.
Steve Lucas, CEO at integration technology specialist Boomi, told reporters that the starting point for value-based considerations should be caution about AI-enabled layoffs. While AI will change roles and responsibilities, Lucas said many job cuts attributed to AI, particularly in the IT industry, are companies looking for a convenient excuse. He stated that a lot of undue blame is being placed on AI by tech executives when these are simply layoffs. Lucas also cautioned professionals against experts who claim AI will end work as we know it, saying anyone who makes such claims is selling something.
Lucas described himself as an AI optimist, believing the technology will help people live longer, healthier lives and make society profoundly more productive. Stephen Wood, chief operating officer at financial services firm Rathbones Asset Management, shares that positive outlook. Wood pointed to the legal industry, where experts often say AI will disrupt roles, noting that while generative AI could do the work of a paralegal by processing vast amounts of cases and writing summaries, it cannot replace the human path to becoming a lawyer who stands in court. He emphasized that people and experts are still necessary.
Wood said he sees similar trends in his own industry, where AI can handle some tasks without sacrificing human talent. He stated that he is not thinking of AI as a technology that removes people, but rather one that reduces the need to hire as many people as possible while enabling him and his staff to do more. The collective evidence suggests that smart leaders are looking beyond headcount reduction to generate real value through AI.
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