Gen Z workers bear brunt as AI starts changing job market

A new Stanford University study indicates AI is significantly reshaping the U.S. labor market, disproportionately disadvantaging young workers. Since late 2022, employment for 22- to 25-year-olds in AI-exposed roles, such as software engineering and customer service, has declined 13%, contrasting with gains for older workers in similar positions. This suggests generative AI is displacing entry-level labor where it substitutes for human tasks, making experience and tacit knowledge crucial buffers against displacement, and represents "early and large-scale evidence" of the nascent AI revolution's impact on employment.

Analysis

A new Stanford University study provides compelling, data-driven evidence that generative AI is already causing a significant structural shift in the U.S. labor market, disproportionately affecting younger workers. The research, based on extensive payroll data, reveals that employment for individuals aged 22-25 in AI-exposed roles has fallen 13% since late 2022, while their older counterparts in the same fields have seen employment gains of 6% to 9%. This divergence underscores that experience and tacit knowledge are becoming critical differentiators, insulating seasoned professionals while displacing entry-level employees whose roles often involve tasks that AI can substitute. The trend is corroborated by findings from Goldman Sachs on the diminishing value of college degrees and Bank of America's observation of rising unemployment among recent graduates. Corporate actions, including layoffs at tech and retail giants like Microsoft and Walmart and Duolingo's explicit 'AI-first' strategy, align with this labor substitution. The study critically distinguishes between 'substitutive' AI, which replaces human labor in roles like customer service and basic coding, and 'augmentative' AI, which enhances productivity without eliminating jobs, indicating that the impact of AI adoption is not uniform across all applications.

Key Decisions for Investors

• Investors should scrutinize corporate AI strategies to differentiate between productivity-enhancing 'augmentative' adoption and labor-displacing 'substitutive' applications, as the latter may offer short-term margin benefits but introduces long-term risks to talent pipelines and brand perception.
• Re-evaluate holdings in sectors heavily reliant on entry-level knowledge workers, such as IT services and customer support, as these business models face significant headwinds from AI-driven labor substitution.