Stanford study finds AI hits entry-level jobs hardest
| Source: HN | Original article
A new Stanford economics study finds AI is disproportionately displacing workers in entry‑level positions.
A new study by economists at Stanford University shows that artificial‑intelligence tools are already reshaping the U.S. labour market, with the sharpest declines in entry‑level employment. The researchers analysed a large, real‑time dataset and found that occupations where AI is heavily deployed – notably accounting and auditing – have seen the steepest drops in jobs for workers aged 22‑25. By contrast, employment rates for older workers have remained largely stable.
The impact appears to have accelerated from late‑2022, coinciding with the rapid spread of generative‑AI applications. The authors describe the trend as a “significant and disproportionate impact” on entry‑level workers, suggesting that AI is not merely augmenting tasks but substituting roles that traditionally served as a gateway to professional careers.
Why it matters is twofold. First, the loss of early‑career positions could stall skill development and earnings growth for a generation entering the workforce. Second, the uneven effect may deepen existing age‑related wage gaps and fuel broader concerns about AI‑driven inequality. As we reported on 21 August 2026, young Americans are already expressing heightened anxiety that AI will take their jobs; this study provides the first empirical evidence that those fears are materialising in specific sectors.
What to watch next are policy and industry responses. Researchers plan to extend the analysis to other occupations and to monitor whether the trend persists as AI tools become more sophisticated. Policymakers may consider targeted upskilling programmes, safety‑net adjustments, or regulatory measures to mitigate the displacement of entry‑level workers while still harnessing AI’s productivity gains.
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