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AI Cuts Hiring Demand by Nearly 10% in Exposed Jobs, but New Skills Are Opening Career Pathways

An IMF study covering 110 economies finds that AI has reduced hiring demand in highly exposed occupations by nearly 10%, even as the negative impact stabilizes despite technological advances. Rising demand for AI skills is creating new job opportunities, highlighting the urgent need for workforce reskilling, digital education and policies that support adaptation to AI-driven employment changes. Artificial intelligence is transforming global labor markets by reducing recruitment in occupations vulnerable to auto…

By the Truvace desk2 min read1 sourceJournalismTRV-2026-2119· cite & verify
AI Cuts Hiring Demand by Nearly 10% in Exposed Jobs, but New Skills Are Opening Career Pathways

In brief

An IMF study covering 110 economies reports that hiring demand has dropped by nearly 10% in occupations highly exposed to AI. The same research says the negative effect is stabilizing even as the technology advances, while demand for AI-related skills creates openings elsewhere.

The findings matter because they show AI shifting recruitment patterns rather than only changing tasks inside existing jobs, which raises pressure on reskilling, digital education and adaptation policy. The supplied excerpt is truncated, so it does not show the study's methods, which occupations or economies were hit hardest, or how many new roles were created.

Main points

  1. The study covers 110 economies, giving the finding an international scope.
  2. Highly exposed occupations saw hiring demand fall by nearly 10%.
  3. The negative impact is described as stabilizing despite technological advances.
  4. Rising demand for AI skills is opening new employment opportunities.
  5. The article points to reskilling, digital education and adaptation policies as priorities.

The problem

Hiring demand in highly exposed occupations has fallen by nearly 10% as AI reduces recruitment in jobs vulnerable to automation.

The rundown

The research, attributed to the International Monetary Fund, examines how AI affects recruitment in occupations vulnerable to automation. It measures the effect through hiring demand rather than through confirmed job losses in the supplied text.

The article describes a split outcome: recruitment is reduced in exposed roles, while workers with advanced technological skills gain new opportunities. The supplied text does not give figures for the size of that second effect.

The summary says the decline is stabilizing even as the technology improves, which suggests the hiring drag may not be growing. The article also frames workforce reskilling, digital education and supportive policies as urgent responses.

Sources

  1. JournalismDevdiscourse2026-10-21

The debate