**AI has Changed Employment Patterns but Has Not Affected Wage Growth — Yet**
The integration of artificial intelligence (AI) tools into the workforce is reshaping job dynamics within the United States, according to new research from the European Central Bank (ECB). This study highlights a significant reallocation of jobs, particularly affecting roles deemed at high risk of being replaced by AI technologies. However, while the employment landscape is shifting, the impact on wage growth remains minimal for the time being.
Isabella Moder, a Senior Economist at the ECB, along with her colleague Til Pommer, conducted an in-depth analysis focused on the United States, which they consider a leading indicator for global employment trends due to its advanced technology sector and flexible labor market. Their research utilized a specialized index to evaluate occupations based on their vulnerability to AI substitution.
The findings reveal a stark contrast in job growth between high-risk and low-risk occupations. Jobs classified as high-risk for AI replacement, such as economists and graphic designers, are projected to see a decline in employment by more than 4% from 2019 to 2025. In contrast, roles with a low risk of substitution, including electricians and high school teachers, are expected to experience a 13% increase in job opportunities during the same period.
This shift has resulted in a notable change in workforce composition. The share of low-risk jobs has risen from 23% to 25%, while high-risk positions have decreased from 35% to 33%. The researchers found that, after accounting for sector-specific developments and external factors such as the COVID-19 pandemic, the gap in job growth between high-risk and low-risk occupations has widened. Specifically, jobs at high risk of substitution have been growing approximately 15 percentage points slower than their low-risk counterparts since 2019. This trend has accelerated notably following the introduction of AI tools like ChatGPT in late 2022.
Despite these employment shifts, the study indicates that the risk of AI substitution has not yet resulted in significant changes in wage growth across different occupations. An analysis of median hourly wage growth from 2019 onward showed no substantial impact attributable to AI substitution risks. However, the authors of the study caution that this situation may evolve as AI technologies become more sophisticated and generative. They noted, “As the labor market continues to adjust and AI tools become more generative, income effects may be more pronounced.”
The report situates these findings within the broader context of technological change, suggesting that while the overall effects of AI on employment remain ambiguous, there has been a discernible impact on employment growth in the U.S. since 2019. This observation aligns with recent evidence from the European Union, which indicates that companies adopting AI technologies often experience increased productivity without immediate reductions in labor force size. Instead, the initial effects appear to involve a restructuring of the workforce, favoring roles that are less susceptible to automation while posing challenges for entry-level positions in high-risk fields.
As the landscape of work continues to evolve under the influence of AI, stakeholders across various sectors will need to monitor these trends closely. The potential for future changes in wage dynamics, particularly as AI technologies advance, remains a critical area for ongoing research and analysis. The findings from the ECB serve as an important reminder of the complexities involved in the intersection of technology and employment, highlighting the need for adaptive strategies in workforce development and policy-making.