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    Home»Jobs & AI»Majority of Global Business Leaders Say AI Is Reducing Headcount, New BSI Survey Reveals

    Majority of Global Business Leaders Say AI Is Reducing Headcount, New BSI Survey Reveals

    By Henry KanapiOctober 10, 20252 Mins Read
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    A new international study warns that AI is now cutting deeper into the global workforce, with the majority of business leaders acknowledging that headcount is already shrinking as automation accelerates across industries.

    The Flourishing in the AI Workforce report from the British Standards Institution (BSI) drew from more than 850 leaders across eight major economies.

    The data shows that more than half of executives surveyed say AI is helping to cut jobs, with early-career roles hit hardest, highlighting a wave of workforce contraction unfolding alongside investments in automation.

    “Although the majority were in agreement that AI is helping to reduce headcount, this varied between SMEs (small and medium enterprises) (54%) and large organizations (57%). More strikingly, while half of large business leaders said junior roles have already been reduced, only 30% said the same from SMEs.

    When asked about the prospects of this happening in the next 12 months, again 53% from large businesses said this compared to 34% at SMEs.”

    Source: BSI

    The study underscores how companies are prioritizing efficiency gains even as they acknowledge the human cost. Two-thirds (66%) of big-company leaders say the benefits of adopting AI outweigh potential disruptions to their workforce, reflecting what researchers describe as a corporate mindset that equates productivity with progress.

    The calculation is especially visible in the United States, where 53% of business leaders say AI is already helping to reduce staff, and 40% say that entry-level positions have been eliminated.

    Source: BSIWarns the BSI,

    “Automating entry-level roles without building a future talent pipeline creates a latency risk for an organization or sector. If junior roles or parts of a role are automated, this means a cohort of people without the necessary experience and expertise for more senior roles because they haven’t had the exposure earlier on.”

    You can read the full report here.

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