研究：Generative AI as Seniority-Biased Technological Change

原文：https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5425555

里面有一个按学校prestige 的分类的影响。学校的分类是chatgpt 给的：

1 = Ivy/elite global tier (e.g., Harvard, Stanford, Oxford, MIT)

2 = Very strong, internationally respected

3 = Solid national/regional reputation

4 = Lower tier/less selective but standard university

5 = Very weak / diploma-mill territory

The results, presented in Figure 6, reveal a U-shaped pattern. Juniors from tier-2 and
tier-3 universities experienced the sharpest relative declines in employment. Those from
tier-1 (elite) and tier-4 schools also saw reductions, but of smaller magnitude. By contrast,
juniors from tier-5 (lower-prestige) institutions experienced only a modest decline,
statistically indistinguishable from zero.