Replicating a Harvard study on AI's employment impact – Autonomously

Show HN: Replicating a Harvard study on AI's employment impact – Autonomously

Replicating a Harvard study on AI's employment impact – Autonomously is a company in show hn launch.

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We used NeuGBI to replicate "Generative AI as Seniority-Biased Technological Change" (HBS, 2025) on the same Revelio Lab dataset — 300M U.S. employment records.The paper's finding: AI disproportionately affects junior positions (−29.4%) vs. senior (−5.8%). NeuGBI arrived at the same conclusion autonomously.One thing NeuGBI found that the paper didn't: within software development, it's specifically junior-level (L2) positions that nearly halved, not entry-level (L1).NeuGBI uses NeuG (a graph database with multi-hop relationship support) as its query engine, Hypergraph reconstruction for analysis, and packaged exploratory Skills that an LLM can invoke to decompose questions and drill down step

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Website: graphscope.io/blog/tech/2026/06/16/NEUGBI-BLOG.html