The jobs that are open aren't replacing the jobs that are lost.
In the first half of 2026, artificial intelligence has become the named cause of a workforce disruption that is moving faster than any comparable shift in recent memory. More than 87,000 American workers — concentrated heavily in the technology sector — have lost jobs attributed to automation, a figure that already surpasses the combined AI-related layoffs of the previous two years. Yet the full picture resists simple interpretation: the broader economy continues to add jobs, and some economists question whether AI is the true cause or merely the language companies have chosen to dress older, more familiar pressures. What is clear is that the pace of change has outrun the structures built to absorb it.
- May 2026 delivered the highest monthly job-cut announcements since the pandemic, with AI cited as the reason for nearly 40% of layoffs — up from just 7% in January, a sixfold rise in a single year.
- The technology sector is absorbing the sharpest blow, shedding 123,000 jobs year-to-date — three times more than any other industry — leaving software engineers and developers with few comparable roles to move into.
- Economists are openly questioning whether AI is the real driver or a convenient narrative, warning that companies may be using the language of automation to obscure layoffs rooted in strategy, cost-cutting, or market pressure.
- A dangerous mismatch is widening: employers announced only 80,742 planned hires in May — a historically low figure — and the new jobs being created do not match the skills, locations, or wages of those being eliminated.
- Despite the turbulence, overall US employment grew by 172,000 in May, creating a dissonant picture in which the economy appears healthy in aggregate even as specific workers face a labor market that has no clear place for them.
The month of May arrived with a reckoning. American employers announced more than 97,000 job cuts — the highest total for any May since the pandemic — and nearly four in ten were attributed to artificial intelligence. By the end of the month, AI-related layoffs in 2026 had reached 87,714, a figure that eclipsed the combined total of the previous two years. The acceleration had been steady and steep: from 48,307 announced cuts in February, to 60,620 in March, to 83,387 in April, and now past 97,000.
The technology sector bore the heaviest weight. Tech companies announced 38,242 cuts in May alone, and 123,000 year-to-date — a 66% increase from the same period the year before, and three times more than the next closest industry. For workers in software development and engineering, the message was difficult to ignore: their field was being remade faster than any other.
But the picture beneath the headlines was more complicated. The broader US labor market had not collapsed — payrolls grew by 172,000 in May, and earlier months were revised upward. Some economists questioned whether AI was truly driving the cuts or simply providing convenient language for decisions shaped by other pressures. Fabian Stephany of Oxford's Internet Institute suggested companies might be using automation as a frame for choices that were, at root, strategic rather than technological.
What was harder to dispute was the mismatch. Employers announced only 80,742 planned hires in May — historically low by pre-pandemic standards. The jobs being created were not the jobs being lost. Skills did not transfer easily. Locations did not align. Pay often did not match. For displaced workers, economists offered practical counsel — broaden your search, look across industries, do not assume your next role must resemble your last — alongside a sobering acknowledgment: the disruption is not finished, and the pace of change has moved beyond what workers and institutions were built to absorb.
The numbers arrived in May like a reckoning. American employers announced more than 97,000 job cuts that month alone—the highest total for any May since the pandemic shuttered offices in 2020. What made this particular wave of layoffs distinct was not just its scale but its stated cause: artificial intelligence. Nearly four in ten of those cuts were attributed to automation, a proportion that had climbed steadily from just 7% at the start of the year.
By the end of May, the tally for AI-related job losses in 2026 had reached 87,714. That single figure eclipsed the combined total of the previous two years. In 2024, AI-driven layoffs had numbered 12,742. In 2025, they rose to 54,836. Now, in less than half a year, the technology had already displaced nearly as many workers as it had in the prior twenty-four months combined. The acceleration was undeniable. February had seen 48,307 announced cuts. March jumped to 60,620. April climbed to 83,387. May broke through to 97,000.
The technology sector bore the heaviest blow. In May alone, tech companies announced 38,242 job cuts—the worst month for the industry since August 2024. Year to date, the sector had shed 123,000 jobs, a 66% increase from the same period the previous year. This made technology the hardest-hit industry by a significant margin, recording three times more layoffs than the next closest sector. For workers in software development, engineering, and related fields, the message was stark: their industry was being reshaped faster than any other.
Yet beneath these headlines, a more complicated picture was emerging. Daniel Keum, an associate professor at Columbia Business School, pointed out that the broader labor market had not collapsed. US payrolls had grown by 172,000 in May, and employment figures for earlier months had been revised upward. The economy was still creating jobs overall, even as AI-related announcements dominated the conversation about job losses. Daniel Zhao, chief economist at Glassdoor, raised a sharper question: were companies actually replacing workers with AI, or were they simply using AI as a convenient explanation for layoffs driven by other pressures? "A company can say that's why we're doing layoffs," Zhao observed, "but that doesn't necessarily mean that's actually why those layoffs are happening."
Fabian Stephany, an assistant professor at Oxford Internet Institute studying AI and work, went further. He expressed skepticism that the current wave of cuts reflected genuine efficiency gains from automation. Instead, he suggested, companies might be using AI as cover—a way to frame difficult business decisions as inevitable technological progress rather than strategic choices. The language of disruption, in other words, could itself become a tool.
What was undeniable was the mismatch between jobs lost and jobs created. Employers announced 80,742 planned hires in May, a figure that Challenger, the outplacement firm tracking these numbers, described as historically low compared with pre-pandemic levels. Thomas Thompson, chief economist at Havas Edge, articulated the core problem: "The jobs that are open aren't replacing the jobs that are lost." A worker displaced from a technology role could not simply step into one of the new positions being created elsewhere in the economy. The skills did not always transfer. The locations did not always align. The pay often did not match.
For job seekers navigating this landscape, Zhao offered practical advice: broaden your search, consider applying your existing skills across different industries, do not assume your next role must resemble your last one. But he also offered a warning. The disruption was not finished. "There is going to be more disruption in the future," he said, "whether that's coming from AI, whether it's coming from political uncertainty, whether it's coming from other parts of the economy." The world had entered a new phase of labor market volatility, one in which the pace of change had accelerated beyond the ability of workers and employers to easily adapt.
Notable Quotes
AI is now the leading reason companies give for cutting jobs.— Andy Challenger, chief revenue officer of Challenger, Gray & Christmas
A company can say AI is why we're doing layoffs, but that doesn't necessarily mean that's actually why those layoffs are happening.— Daniel Zhao, chief economist at Glassdoor
The Hearth Conversation Another angle on the story
When you see that 97,000 figure for May, what's actually behind it? Are these companies genuinely replacing people with AI, or is something else happening?
That's the question everyone's asking. The companies are saying it's AI. But some economists think that's partly cover—a way to frame layoffs that might be happening anyway as inevitable technological change. It's harder to argue with "the machines can do it now" than to say "we're cutting costs."
So the AI explanation is convenient?
Partly. But it's also real in the tech sector specifically. That industry is being reshaped. 123,000 jobs gone year to date. That's not just rhetoric. That's actual displacement. The question is whether it's all automation or whether some of it is companies using the AI moment as cover for broader restructuring.
What about the people who lost those jobs? Where do they go?
That's the hard part. The economy is creating jobs overall—172,000 in May. But the new jobs aren't replacing the old ones. A software engineer in San Francisco doesn't become a warehouse worker in Ohio. The skills don't transfer. The pay doesn't match. There's a mismatch.
Is this temporary, or are we looking at a permanent shift in how work gets done?
Nobody knows yet. But the economists I read aren't saying this is a blip. They're saying the disruption is ongoing. AI, political uncertainty, other economic pressures—they're all converging. The world has entered a phase where change is faster than adaptation.
What would actually help people right now?
Retraining, yes. But also honesty about what's happening and why. And companies creating new roles that actually use the skills people have, rather than just cutting and hoping the market sorts itself out.