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HomeAnalytical Insights & PerspectivesStudy Links AI Adoption to Rising Joblessness, Especially Among...

Study Links AI Adoption to Rising Joblessness, Especially Among Young Professionals

TLDR: Recent studies indicate a growing correlation between the adoption of artificial intelligence technologies and an increase in unemployment, particularly affecting young workers in AI-exposed sectors. While AI promises economic growth, concerns are mounting over job displacement, prompting calls for urgent reskilling initiatives and stronger social safety nets.

A series of recent studies has highlighted a concerning trend: the increasing integration of artificial intelligence (AI) technologies is contributing to a rise in unemployment, with a disproportionate impact on younger professionals. This development, while accompanied by projections of significant economic value creation from AI, underscores the urgent need for adaptive labor market strategies.

According to a Stanford University study, employment among young workers aged 22 to 25 in industries highly exposed to AI has seen a notable 6% decline since 2022. In contrast, older workers in these same sectors experienced gains of up to 9%, suggesting an uneven disruption across age demographics. Further illustrating this impact, an Australian analysis projects that 7% of its workforce could become effectively unemployable due to AI in the coming years, with 21.8% to 33.2% potentially experiencing some form of unemployment.

The Federal Reserve Bank of St. Louis released findings in late August 2025, revealing a striking correlation between AI’s prevalence and unemployment increases. Their research, which analyzed data between 2022 and 2025, reported a 0.47 correlation coefficient, indicating that occupations with higher AI exposure experienced larger unemployment rate increases. Computer and mathematical occupations, with an AI exposure score around 80%, were among those seeing the steepest rises in joblessness. The study, however, cautions that these findings represent correlation, not causation, with other factors like economic uncertainty and monetary policy also playing a role.

Economists are increasingly vocal about the shifts. Scott Anderson, chief U.S. economist at BMO Capital Market, noted that the U.S. labor market’s deterioration intensified in August, with hiring ‘slumping dangerously close to stall speed.’ This raises ‘the risk of a harder landing for consumer spending and the economy in the months ahead.’ The U.S. economy is currently creating fewer than 75,000 jobs a month, a significant drop from the 168,000 average in 2024 and the 400,000 monthly jobs added during the 2021-2023 hiring boom. The national unemployment rate climbed to 4.3% in August, the highest since April 2021. James Knightley, an economist at ING, highlighted that consumer surveys show 62% of Americans expect unemployment to rise, suggesting that ‘people see and feel changes in the jobs market before they show up in the official data.’

Industries such as coding, software development, data analysis, marketing consulting, graphic design, office administration, and telephone call centers are showing early signs of disruption. Goldman Sachs Research estimates that a full adoption of generative AI could lead to a half-percentage-point rise in the unemployment rate during the transition period, with approximately 2.5% of U.S. employment at risk if current AI use cases are expanded across the economy. However, they also note that low AI adoption rates currently limit the overall labor-market impacts.

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In response to these challenges, experts advocate for proactive measures. Governments and private firms are urged to prioritize reskilling and lifelong learning, ensuring displaced workers, especially young and entry-level professionals, have access to vocational training and upskilling opportunities. Education systems should be reformed to emphasize AI literacy, creativity, and problem-solving. Policymakers are also advised to reinforce social safety nets through expanded unemployment benefits and wage insurance to facilitate smoother transitions. The emerging ‘Sustain my’ concept promotes balancing prosperity, people, and the planet, envisioning AI as a tool to augment human potential and support equitable growth rather than solely replacing jobs.

Karthik Mehta
Karthik Mehtahttps://blogs.edgentiq.com
Karthik Mehta is a data journalist known for his data-rich, insightful coverage of AI news and developments. Armed with a degree in Data Science from IIT Bombay and years of newsroom experience, Karthik merges storytelling with metrics to surface deeper narratives in AI-related events. His writing cuts through hype, revealing the real-world impact of Generative AI on industries, policy, and society. You can reach him out at: [email protected]

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