A new analysis from Goldman Sachs suggests that AI job losses Gen Z workers are experiencing are no longer theoretical. The firm estimates that artificial intelligence has reduced U.S. employment by roughly 16,000 net jobs per month over the past year, marking one of the clearest signals yet that automation is actively reshaping the labor market.
The findings highlight a widening imbalance. While AI is creating some new opportunities, the pace of job displacement is currently outstripping job creation, with entry-level workers bearing the brunt of the shift.
“AI is replacing faster than it is creating”
Goldman Sachs economists, led by Elsie Peng, estimate that AI-driven substitution eliminated approximately 25,000 jobs per month. At the same time, productivity gains and new roles linked to AI contributed around 9,000 jobs monthly.
This distinction between substitution and augmentation is central to understanding the current disruption. Substitution occurs when AI systems can fully perform core job tasks, removing the need for human workers. Augmentation, by contrast, enhances productivity by supporting human roles rather than replacing them.
Roles most vulnerable to substitution tend to involve routine and repeatable tasks. Administrative positions, customer service jobs, billing operations, and basic legal support functions are among the most exposed. These roles often require structured workflows, which AI systems can increasingly replicate with high accuracy.
Why younger workers are disproportionately exposed
The uneven impact of AI job losses Gen Z workers face reflects how early careers are structured. Younger employees are more likely to enter the workforce through positions that emphasize repetition, process handling, and lower levels of decision-making authority.
Goldman’s data shows a growing divergence between younger and more experienced workers. The unemployment gap between workers under 30 and those aged 31 to 50 has widened significantly compared with pre-pandemic norms.
Wages are also diverging. The firm’s analysis indicates that higher exposure to AI-driven substitution correlates with a 3.3 percentage point widening in the wage gap between entry-level and mid-career employees.
More experienced professionals are better insulated because their roles often require judgment, oversight, and domain expertise. Occupations such as legal advisory, construction management, and healthcare rely on skills that remain difficult to automate fully.
A structural shift, not a temporary disruption
The current trend points to a structural transformation rather than a short-term labor market fluctuation. AI adoption is accelerating across industries, particularly in white-collar environments where digital workflows dominate.
However, Goldman Sachs notes that its estimates may not capture the full economic picture. Investment in AI infrastructure, including data centers, energy systems, and construction, is generating new forms of employment that are not fully reflected in the data.
Additionally, productivity gains from AI may eventually stimulate broader economic growth. Lower costs and increased efficiency can expand markets, potentially leading to job creation over time.
“Adaptation is happening, but not yet visible”
Despite near-term displacement, Gen Z may also be uniquely positioned to benefit from AI over the longer term. As digital natives, younger workers are more likely to adopt AI tools, experiment with automation, and integrate these technologies into their workflows.
This adaptability could become a competitive advantage. Many Gen Z professionals are already building AI-driven side projects, learning prompt engineering, and developing technical fluency that older cohorts may lack.
However, this transition takes time. The labor market is currently experiencing the front-loaded effects of automation, where job losses appear before new categories of work fully emerge.
In practical terms, AI is simultaneously eliminating certain roles, enhancing others, and creating entirely new opportunities. The challenge for Gen Z is timing. Displacement is occurring now, while the pathways to new employment are still forming.
For employers and policymakers, the data underscores a critical need to rethink workforce development. Reskilling, early-career training, and AI literacy programs may determine how quickly displaced workers can transition into more resilient roles.
