ECB Says AI Cut High-Risk US Jobs 4% as Low-Risk Roles Rose 13%
Updated
Updated · Cyprus Mail · Jun 27
ECB Says AI Cut High-Risk US Jobs 4% as Low-Risk Roles Rose 13%
1 articles · Updated · Cyprus Mail · Jun 27
Summary
High-risk US occupations such as economists and graphic designers saw employment fall more than 4% from 2019 to 2025, while low-risk jobs including electricians and teachers rose 13%, ECB research found.
A 15-percentage-point job-growth gap opened between high- and low-risk occupations after adjusting for sector trends and shocks, with the divergence accelerating since ChatGPT's late-2022 launch.
Workforce composition shifted with low-risk roles rising to 25% of jobs from 23%, while high-risk positions fell to 33% from 35%, pointing to reallocation rather than broad job losses.
Wages have not yet followed: median hourly wage growth showed no significant link to AI substitution risk since 2019, though the authors said income effects could strengthen as generative AI spreads.
Why is AI transforming office jobs but not solving critical labor shortages in fields like healthcare or construction?
As AI erases entry-level jobs, how will the next generation gain the experience needed for future roles?
AI and the US Labor Market (2019–2026): Measuring Workforce Shifts, Job Risk, and the Urgent Need for Reskilling
Overview
Between 2019 and 2025, artificial intelligence has clearly influenced the US labor market, not by causing widespread job loss, but by shifting the types of skills and roles needed. AI brings both higher productivity and the risk of job displacement, so the overall effect on employment depends on how these forces balance out. As a result, companies are focusing more on reskilling workers and moving talent into new roles, rather than simply cutting jobs. This ongoing change means that the workforce must adapt, with new opportunities emerging for those who develop skills that complement AI.