AI Reshapes White-Collar Hiring: Sectors Once Adding 55,000 Jobs Monthly Now Bleeding Thousands
A dramatic shift is underway across industries where artificial intelligence has found its strongest foothold. What was once a booming hiring environment — with some sectors adding up to 55,000 positions per month at their 2022 peak — has turned into a consistent pattern of job losses. Over the past three months, AI-exposed industries have shed an average of approximately 11,000 jobs each month, according to data highlighted by The Kobeissi Letter.
The list of affected industries is broad and telling. It covers management consulting, graphic design, office administration, telephone call centers, computer systems, software publishers, web search platforms, data processing firms, movie production, broadcasting, traditional publishing, and document preparation services. These are not fringe sectors — they represent a substantial portion of the professional workforce that was once considered resilient to automation.
The trend reversal has been sharp and largely one-directional. Since mid-2023, the same group of industries has recorded net job gains in only two individual months. The contrast with 2022 figures underscores just how quickly the tide has turned. The Kobeissi Letter summarized the situation plainly: "The impact of AI on the labor market is becoming increasingly visible."
Layoff data reinforces this picture. In May alone, artificial intelligence was cited as the direct reason behind 38,579 job cuts — the highest single-month total ever recorded. That figure was part of a third consecutive monthly increase in AI-attributed layoffs. For 2026, AI-driven cuts have already reached 87,714, representing roughly 22% of all job losses recorded last month. Notably, this already surpasses the full-year 2025 total of 54,836, and the year is far from over.
While economists and labor experts continue to debate the long-term consequences of AI-driven displacement, survey data is beginning to paint a clearer picture of who bears the greatest risk. A Gallup survey found a meaningful correlation between AI adoption habits and layoff exposure. Workers who used AI tools less than once a month were three times more likely to face termination than those who incorporated AI into their workflows at least monthly. The divide is most pronounced in the technology sector, where the gap between frequent and infrequent AI users appears to directly influence job security.
This emerging pattern suggests that the risk is not uniform. Workers who actively engage with AI tools may be buffering themselves against displacement, while those who remain on the sidelines appear increasingly vulnerable. Whether this trend intensifies in the months ahead remains uncertain, but early indicators point in a consistent direction.
Artificial intelligence is not simply eliminating jobs — it is redistributing them. The sectors most transformed by automation are contracting, while the workers best positioned to thrive appear to be those who have made AI a routine part of how they operate. For industries and individuals alike, the window for adaptation may be narrowing faster than many anticipated.
