ServiceNow CEO warns AI agents could drive graduate unemployment above 30% within years

Reviewed byNidhi Govil

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ServiceNow CEO Bill McDermott predicts graduate unemployment could surge from 5.7% to over 30% as AI agents take over entry-level tasks. Companies are already cutting junior roles, with 39% reducing headcount in favor of AI adoption. Experts warn this shift threatens the talent pipeline for future senior positions.

ServiceNow CEO Predicts Dramatic Rise in Graduate Unemployment

Bill McDermott, CEO of ServiceNow, has issued a stark warning about the impact of AI on young professionals entering the workforce. Speaking to CNBC, McDermott predicted that graduate unemployment could surge from the current 5.7% to above 30% within the next couple of years as AI agents increasingly handle entry-level routine tasks that once served as training grounds for junior staff

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. The ServiceNow leader explained that non-differentiating roles are being rapidly automated, making it challenging for young people to establish themselves in corporate environments

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Source: The Register

Source: The Register

AI Agents Reshape Entry-Level Work

The transformation is already underway across multiple industries. McDermott revealed that ServiceNow's AI platform has eliminated 90% of customer service tasks that previously required human workers, with major companies like Pepsi, Panasonic, and Nvidia already deploying these solutions

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. This shift toward AI automation is fundamentally altering workforce planning strategies. Recent data from the Federal Reserve Bank of New York shows that new graduates faced an underemployment rate of 42.5% at the end of 2025, the highest level since 2020

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Source: PYMNTS

Source: PYMNTS

Companies Already Reducing Junior Hires

The trend of AI adoption driving job cuts is backed by substantial research. A British Standards Institution study surveyed business leaders from eight countries and found that 39% have already reduced junior and entry-level headcount in favor of greater AI adoption

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. More concerning, 43% expect to further reduce entry-level roles in the next year, with 50% specifically citing AI as helping them reduce headcount. Unlike previous technological revolutions, AI is targeting white-collar jobs in coding, marketing, and information processing that traditionally provided career pathways for college graduates

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Pipeline Choke Threatens Future Workforce Structure

Gartner has raised concerns about the long-term consequences of disproportionate cuts to graduate positions. The analyst firm warns of "pipeline choke," where the elimination of mundane work that junior staff once used to develop skills will reduce the supply of experienced professionals in years to come

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. Gabriela Vogel, Gartner VP analyst, cautioned that when senior staff delegate to AI the work juniors used to do, "that approach captures value, but it can stall your growth, so pair it with a robust talent development strategy, or risk choking your future pipeline"

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Navigating the Transition

While the immediate outlook appears challenging, the World Economic Forum suggests the picture is more nuanced than simple job elimination. The organization contends that automation will create new categories of work in data, AI oversight, cybersecurity, and human-centric services

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. A large portion of workers' skills are expected to evolve over the next five years, requiring significant retraining and adaptation. Roles centered on routine information processing face the greatest exposure, while positions combining domain expertise, judgment, and technological fluency are expanding. McDermott emphasized the urgency of this shift, stating, "I do think it's coming quicker than people anticipate"

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. The pressure on productivity and efficiency through AI is real, forcing organizations to rethink not just hiring practices but their entire approach to skill evolution and workforce development.

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