Lindsay learned by email one morning that her job at Oracle, where she had worked for more than a decade as a strategist, was one of 21,000 the company cut this year as it poured money into AI. "We were encouraged, pressured, to leverage AI," she told the Irish Times. "They were using us to train something that would ultimately replace us." Her story has become a familiar one. According to the outplacement firm Challenger, Gray and Christmas, more than 180,000 corporate job losses have been linked to AI since May 2023, including 112,000 in 2026 alone, and for five straight months AI has been the single most common reason companies give for cutting staff. Salesforce, Lufthansa, Accenture and Standard Chartered are all on the list.
Some of that pressure is real and now measurable. Goldman Sachs published research this week analysing more than 800 occupations across the developed world, and found that industries most exposed to AI automation have seen job-opening growth slow since the second half of 2022, an effect most pronounced in Germany, Australia and the United States. Call centres are the clearest case: employment there now sits 39 percent below its long-run trend in the US, 33 percent in Canada and 27 percent in Germany. The strain falls hardest on people trying to start their careers, with entry-level workers bearing the sharpest AI-related headwinds Goldman could find.
Yet Goldman is careful to add that these effects remain confined to a narrow band of industries and workers, and a growing group of economists thinks the headline number badly overstates the case. Companies, they point out, have every incentive to blame job cuts on futuristic productivity gains rather than admit to weak results or ordinary restructuring. "I haven't seen any compelling evidence of the narrative that these firms are automating a lot of work," said Carl-Benedikt Frey of the Oxford Internet Institute. "I don't think AI-driven automation is the key story here." Many of the cuts have come from software firms bruised by this year's AI-driven market sell-off; Atlassian framed 1,600 layoffs as a way to "self-fund further investment in AI," while Meta's cuts fell on its metaverse division.
Investors, tellingly, are not always convinced either. A Financial Times analysis found that fewer than half of the past year's AI-linked layoff announcements produced a share-price bump the next day, and that companies citing the technology underperformed the Nasdaq by almost 10 percent over the following month. A Yale Budget Lab study could not directly connect rising layoffs in the information sector to AI. Oxford Economics called the evidence "patchy," noting the absence of the productivity surge you would expect if machines were truly replacing workers at scale. Broader data agrees: redundancies in the US and UK are not unusually high, first-time American jobless claims hit their lowest level since 1969 in July, and executives polled for a National Bureau of Economic Research paper expect AI to trim headcount by just 0.7 percent over the next three years.
None of which means nothing is happening. AI-exposed entry-level roles have seen sharp falls in hiring, according to the Stanford Digital Economy Lab, and Forrester analyst Kate Leggett says boards are handing down mandates to automate customer service, a function long treated as a costly nuisance. Even where jobs survive, AI may be quietly enabling companies to hire less: "people are able to do a little bit more with less," said Lisa Simon of Revelio Labs, as job postings slipped 2.8 percent in the US and 12.6 percent in the UK. The likeliest truth sits between the panic and the denial. AI is not yet a wave of replacement, but it is a convenient word for a slower squeeze, and a tidy label to print on a pink slip. For Lindsay, the irony is complete. Back on the market after years, she now has to collaborate with AI to customise her resume.