| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w28257 |
| 来源ID | Working Paper 28257 |
| AI and Jobs: Evidence from Online Vacancies | |
| Daron Acemoglu; David Autor; Jonathon Hazell; Pascual Restrepo | |
| 发表日期 | 2020-12-28 |
| 出版年 | 2020 |
| 语种 | 英语 |
| 摘要 | We study the impact of AI on labor markets using establishment-level data on vacancies with detailed occupation and skill information comprising the near-universe of online vacancies in the US from 2010 onwards. There is rapid growth in AI related vacancies over 2010-2018 that is greater in AI-exposed establishments. AI-exposed establishments are reducing hiring in non-AI positions. We find no discernible relationship between AI exposure and employment or wage growth at the occupation or industry level, however, implying that AI is currently substituting for humans in a subset of tasks but it is not yet having detectable aggregate labor market consequences. |
| 主题 | Labor Economics ; Labor Supply and Demand ; Development and Growth ; Innovation and R& ; D |
| URL | https://www.nber.org/papers/w28257 |
| 来源智库 | National Bureau of Economic Research (United States) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/585930 |
| 推荐引用方式 GB/T 7714 | Daron Acemoglu,David Autor,Jonathon Hazell,et al. AI and Jobs: Evidence from Online Vacancies. 2020. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w28257.pdf（779KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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