Stanford study reveals young workers most vulnerable to AI impact, higher education offers protection

A recent study by the Stanford Digital Economy Lab, published on August 12, has revealed that young workers aged 22 to 25 are experiencing the most significant impact from the rise of artificial intelligence (AI). The research, based on high-frequency salary data from ADP covering millions of American workers, highlights how the widespread adoption of generative AI has affected the labor market. The study found that while there is no evidence of widespread job displacement across the U.S., young workers are facing the most direct challenges. The report indicates that in high-impact fields such as software development and customer service, young workers aged 22 to 25 have a 19% lower employment rate compared to those in less affected sectors. By 2025, this gap is expected to narrow to 13%. In contrast, experienced professionals in the same roles have not seen a similar decline in employment, with their job rates remaining stable or even increasing. The study attributes the greater vulnerability of entry-level workers to the nature of their jobs, which rely heavily on 'codified knowledge'—knowledge that can be easily taught through education, textbooks, or written procedures. This type of knowledge is more susceptible to automation by AI. On the other hand, 'tacit knowledge,' which is gained through practice, mentorship, and real-world experience, is less likely to be replaced by AI. The study also suggests that higher education can help mitigate the negative effects of AI on employment.