Tech Workers Who Skip AI Face Triple the Layoff Risk: Gallup

Tech workers who skip regular AI use face a layoff risk three times higher than their colleagues, according to new Gallup data. The same study finds that only 1% of laid-off workers name AI or automation as the primary reason they lost their job. The two numbers describe the same set of layoffs from different vantage points.

Gallup’s first-quarter 2026 downsizing report draws on the firm’s ongoing survey of U.S. employees, the same fieldwork that produced its February 2026 AI-adoption findings that half of American workers now use AI in their role at least a few times a year. The result is a worker-side picture and a company-side picture of the same labor market, drawn from the people on each end of the layoff conversation.

The Three-Times Gap in Tech Layoffs

Gallup’s central finding is built from the same dataset that produced its February 2026 report on AI adoption. Among tech workers who used AI less than monthly in their role, the predicted probability of being laid off was three times as likely as tech workers who used AI at least monthly. The pattern held even after Gallup controlled for age, education, industry and the time elapsed since the layoff, an attempt to strip out the variables that usually explain who loses a job in a downturn.

The tech sector is already over-represented in the layoff data. Thirteen percent of currently laid-off workers previously worked in the technology industry, roughly double the 6% share of tech workers in the currently employed workforce. Twenty-five percent of laid-off workers say their previous job was fully remote, compared with 13% of currently employed adults, a gap that highlights how much the cuts are concentrated in roles that were often built around distributed work. Eighty percent of the laid-off workers Gallup surveyed were let go in the past year, and 91% in the past two years.

The pattern repeats across the broader workforce, just less strongly. Sixty-two percent of laid-off workers are AI non-users, meaning they use the technology once a year or less, compared with 50% of currently employed workers. Among frequent users, 28% of employed workers say they use AI daily or a few times a week, compared with 22% of laid-off workers. Both gaps are statistically significant.

The data do not claim causality, and Gallup flags that caveat plainly. Workers who already face higher displacement risk, those in vulnerable roles, those with less access to new tools, may also be the ones whose organizations push them out first. The three-times figure is the size of the gap. It is not, on its own, a verdict on whether AI use is keeping anyone employed.

• 3x: Tech workers who used AI less than monthly were 3x as likely to be laid off as tech workers who used AI at least monthly (Gallup, Q1 2026).
• 13% vs 6%: Share of tech workers among laid-off workers vs share of tech workers in the employed workforce (Gallup, Q1 2026).
• 25% vs 13%: Share of laid-off workers whose previous job was fully remote vs share of currently employed workers in fully remote roles (Gallup, Q1 2026).
• 80% / 91%: Share of laid-off workers who were laid off in the past year / past two years (Gallup, Q1 2026).
• 62% / 50%: Share of laid-off workers who are AI non-users vs share of currently employed workers who are AI non-users (Gallup, Q1 2026).

Workers Tell a Different Story

If the layoff risk is concentrated among AI non-users, you would expect laid-off workers to name AI as the reason they lost their job. Gallup asked workers who were currently unemployed because of a layoff to describe, in their own words, the primary reason they were let go. Only 1% mentioned reasons specific to AI or automation.

What workers did name was older, more familiar language. The most common reasons given were organizational restructuring, cost-cutting and the elimination of their role. Many of those explanations may reflect AI’s influence on internal decisions, even when workers were not told that AI drove the outcome. The data point, Gallup notes, may understate AI’s indirect influence, since restructuring and role elimination are exactly the categories a manager would reach for when a chatbot is doing more of the work.

The worker-side figure is a survey. The company-side figure is a press release. The two numbers describe the same event from different vantage points, and they have been diverging for at least a year. The 40% share for AI in May 2026 is the highest monthly total Challenger, Gray & Christmas has ever recorded for the reason, up from 7% in January 2026, 25% in March and 26% in April. AI has now been the leading reason for cuts for three months in a row.

Tech Carries the Heaviest Layoff Burden

Technology is the sector where the worker-data and the company-data overlap the most. the May 2026 U.S. job-cuts report shows technology as the leading sector for layoffs by a wide margin, and AI as the leading reason cited for those cuts, accounting for 38,579 of the 97,006 announced that month. The annual picture is even sharper. Through the first five months of 2026, AI has been cited in 87,714 cuts, or 22% of all 2026 layoffs, already surpassing the 54,836 AI-attributed cuts recorded in all of 2025.

Yet the same report shows technology leading May 2026 hiring too, with 11,250 announced positions, more than any other sector, the two figures sitting next to each other in Challenger’s release without a connecting sentence. Companies are cutting the most experienced or most expensive tech staff and adding new roles shaped around AI, the opposite of the typical layoff cycle, where the same function shrinks at every level. Walmart’s 1,000 tech cuts alongside AI training push shows the same pattern in a single company.

• 38,579: AI-attributed job cuts announced in May 2026, the highest single-month total since Challenger began tracking the reason in 2023.
• 87,714: AI-attributed cuts through the first five months of 2026, already higher than the 54,836 attributed to AI across all of 2025.
• 40% of all cuts: Share of 97,006 U.S. job cuts in May 2026 that companies attributed to AI, up from 7% in January 2026.
• 11,250: Announced tech-sector hires in May 2026, the highest of any sector tracked by Challenger.

AI Use Is Climbing Across the Workforce

The same February 2026 Gallup data that fed the downsizing report show AI use spreading through the U.S. workforce. Half of employed American adults now say they use AI in their role at least a few times a year, up from 46% the previous quarter. Frequent use is also rising, with 13% of employees saying they use AI daily and 28% reporting they use it a few times a week or more. Forty-one percent of employees say their organization has integrated AI tools, up three percentage points quarter on quarter.

The productivity case is also getting louder. Within organizations that have adopted AI, 65% of employees say the technology has improved their productivity and efficiency, regardless of how often they personally use it. The lift is largest among leaders, with 21% saying AI has had an extremely positive impact on their productivity compared with 13% of individual contributors.

Healthcare workers and employees in technical and professional roles are the early leaders in reported gains, while service and office-administrative workers are more likely to say AI has had little or no effect, or a negative one. Only about one in 10 employees in AI-adopting organizations strongly agree that AI has transformed how work gets done in their organization. Many organizations have not yet fundamentally redesigned workflows, roles or processes around AI, according to Gallup. The benefit, in other words, sits at the level of the individual task rather than the system. Productivity gains are concentrated where clear use cases exist, not where a new tool has been mandated across a department.

The fear is rising at the same time. Eighteen percent of all U.S. employees say it is very or somewhat likely that their job will be eliminated within the next five years because of AI or automation. Among employees in organizations that have adopted AI, that share rises to 23%, and Gallup’s reading is that adoption and anxiety are scaling together, not trading places.

The Productivity Question Behind the Numbers

How AI factors into layoff decisions is an open question, and the Gallup report does not pretend to answer it. One reading is that workers who use the technology more frequently are simply able to get more done than their peers, a productivity story that makes the layoff pattern a meritocratic outcome. Another reading is that employers are paying attention to how often workers use AI, counting chatbot prompts the way they once counted lines of code, and using that signal to decide who stays. Both mechanisms can be true at the same time. Accenture’s case for HR managing AI agents is an indication of how seriously large employers are taking the question of what AI does inside the org chart.

Outplacement firm Challenger, Gray & Christmas, which tracks layoffs by stated reason, takes the productivity framing and runs with it. The technology, in the firm’s telling, follows the same pattern as the spreadsheet and email. Both initially raised alarms about job loss, and both ended up multiplying what individual workers could produce. The two examples are part of a long lineage of tools that, on net, added capacity even as they changed the kind of work that remained.

Like spreadsheets and email before it, the technology will ultimately make workers more productive, but our data shows companies are already acting on it, citing AI for more cuts than any other reason.

Andy Challenger, chief revenue officer at Challenger, Gray & Christmas, made the comment in the firm’s May 2026 report. The framing matters because Challenger is both the main source for the company-cited numbers and an interested party in how the layoffs get explained.

What the New Numbers Don’t Settle

The framing of the cuts is itself contested. OpenAI CEO Sam Altman has accused some employers of AI washing their layoffs, blaming the technology for decisions driven by other business factors, per coverage of the AI-washing debate in 2026 layoff announcements. Apollo Global Management’s chief economist, Torsten Sløk, has gone further, writing that he sees zero evidence of job losses because of AI, citing the ADP National Employment Report. Challenger’s own Andrew Challenger, the chief revenue officer quoted above, has acknowledged that the true total of AI-driven cuts is probably undercounted, since companies are reluctant to draw headlines by naming AI as the cause of layoffs.

The companies that name AI most loudly are not the only ones acting on it, and Gallup’s data, which measures worker behavior rather than company statements, finds the same concentration of risk in the same group that the company-data flags. The 3x figure is large enough to act on. The mechanism behind it is the next question to settle.

Frequently Asked Questions

What did the Gallup study find about AI use and tech worker layoffs?

The new Gallup downsizing report finds that tech workers who used AI less than monthly in their role were three times as likely to have been laid off as tech workers who used AI at least monthly. The relationship survived controls for age, education and industry, with the report’s authors describing the gap as particularly stark inside an industry that is already shedding workers faster than the rest. The same direction of effect shows up across the broader workforce, though with less force.

What share of laid-off workers blame AI for losing their job?

Only 1% of currently laid-off workers name AI or automation as the primary cause of their job loss, according to Gallup. The reasons workers actually give cluster around organizational restructuring, cost-cutting and the elimination of their role, categories that can absorb AI’s effect on headcount without ever naming it. Gallup’s researchers flag this as a potential undercount of AI’s reach.

Why are companies citing AI for so many job cuts in 2026?

Companies are citing AI for cuts more than any other reason. In May 2026, AI was given as the cause for 40% of the 97,006 layoffs announced that month, per Challenger, Gray & Christmas, with 38,579 of them attributed to AI directly. Year to date, the firm has tracked 87,714 AI-cited cuts, or 22% of all layoffs in 2026, already clearing the 54,836 AI-attributed cuts recorded across all of 2025. OpenAI’s Sam Altman has accused some employers of AI washing, blaming the technology for decisions driven by other factors.

Are non-tech workers also at higher risk if they don’t use AI?

Yes, the same direction of effect appears outside tech, though the gap is smaller. Gallup’s data show that 62% of laid-off workers are AI non-users, compared with 50% of currently employed workers, a statistically significant gap. Among frequent users, 28% of employed workers say they use AI daily or a few times a week, versus 22% of laid-off workers. The pattern is stronger inside the tech sector than across the rest of the workforce.

What should a tech worker make of the new numbers?

Gallup’s own framing is that workers who do not use AI regularly appear more vulnerable in the job market, with the effect concentrated in the technology sector. The report’s authors do not recommend tying performance reviews to AI usage, a path that could push employees to overuse the tools to game the system. The clearest takeaway from the data is that regular AI use correlates with lower layoff risk inside tech, even when workers themselves do not name AI as the cause of their own job loss.