Employment is shrinking across all industries where AI has already been widely adopted. In these sectors, an average of about 11,000 jobs per month was lost over the past three months.
These personal details shared by The Kobeissi Letter clearly show that automation is changing how office workers are recruited.
The number of employees turns downward in industries exposed to AI
The Kobeissi Letter stated that since the middle of 2023, these industries have increased the number of jobs in only two months.
Among the targets are, e.g., management consulting, graphic design, office administration, call centers, and information systems.
They also include software publishers, web search, data processing, film production, broadcasting, publishing activities, and document preparation services.
The decline is steep. In these industries, up to 55,000 jobs per month were added in 2022, before the direction turned negative in 2023.
“The impact of AI on the labor market is becoming increasingly clear,” the publication stated.
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Industry data supports a direct increase in layoff announcements. In May, AI accounted for 38,579 job losses, which was a record for the month.
May was the third consecutive month in which layoffs increased. AI was responsible for 87,714 of this year’s 2026 layoffs—about 22% of last month’s total.
The number already exceeds the level for the entire year 2025, which was 54,836—although there is still time left in the year. Experts disagree about job losses caused by AI, but a separate Gallup survey shows a link between AI use and susceptibility to layoffs.
Statistics suggest that those who were laid off were more likely to be people who did not use AI. The difference is most evident in the technology sector: workers who used AI less than once a month were three times more likely to be laid off than those who used it at least monthly.
Job losses in the future are uncertain and depend on the coming months. However, the early signs are consistent. AI is changing the job landscape, and employees who adopt it the slowest are at the greatest risk in situations involving layoffs.
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