A new study by the European Central Bank (ECB) indicates that the rapid integration of artificial intelligence (AI) in the United States has not caused major disruptions in overall employment or wage levels. Although some occupations face higher risks of automation, the U.S. labor market has remained resilient, with growth in lower-risk jobs offsetting declines in AI-exposed roles.

The research focused on analyzing job and wage trends tied to AI substitution risk between 2019 and 2025. It found that employment in occupations highly susceptible to AI fell by over 4%, while roles considered low-risk expanded by approximately 13%. This shift led to an increase in the share of low-risk jobs within the total workforce, growing from 23% to 25%, contrasted with a decline in high-risk job share from 35% to 33%. These figures underscore a gradual labor market adjustment rather than a dramatic upheaval.

The findings further highlight that the impact has concentrated disproportionately on junior workers in highly exposed roles, rather than affecting the broader labor market. Many workers have transitioned across jobs and sectors as firms deploy new AI technologies, helping to cushion potential negative effects. This labor reallocation suggests that AI’s immediate consequences are more localized than widespread.

This ECB study aligns with other recent research showing muted broad labor-market effects from AI advancements. For example, the Yale Budget Lab reported no significant disruption after the release of AI tools like ChatGPT, while the Federal Reserve Bank of St. Louis observed high rates of AI usage among U.S. workers but no clear evidence of job losses linked to automation. At the same time, firms in knowledge-based and creative industries continue to embrace AI, reflecting ongoing transformation in select sectors.

Industry outlooks, such as those from Goldman Sachs, project a decade-long period of AI adoption during which 6% to 7% of workers could face displacement globally. However, these transitions are expected to occur gradually rather than cause immediate labor-market shocks.

For policymakers, the ECB study imparts a caution that AI’s disruptive effects may initially manifest unevenly, targeting junior employees in vulnerable jobs rather than causing broad-scale unemployment or wage suppression. This nuanced pattern supports concerns raised by European Central Bank leadership that AI advancements could exacerbate inequality if benefits are unevenly distributed.