
New research from Stanford University indicates that artificial intelligence is significantly impacting entry-level employment in the US, with jobs for new workers in AI-exposed fields like software development and accounting declining 13% over the past three years. This trend contrasts sharply with stable or improved employment for more experienced workers in the same sectors and those in lower-tech professions, suggesting a growing bifurcation in the labor market driven by AI adoption.
New research from Stanford University reveals a significant structural shift in the US labor market driven by artificial intelligence. Over the last three years, employment for entry-level positions in fields most exposed to AI, including software development, accounting, and customer service, has contracted by 13%. This decline contrasts sharply with the employment trends for experienced professionals in the same sectors, which have remained stable or improved. The data indicates a growing bifurcation where AI adoption is raising the barrier to entry for new workers, particularly those aged 22 to 25, while simultaneously preserving or enhancing the value of experienced talent. Furthermore, the study notes a strengthening of employment in lower-tech roles like nursing aides, suggesting a reallocation of labor demand away from automatable entry-level white-collar tasks.
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