Generative AI and the Reorganization of Labor Demand
Generative artificial intelligence (AI) is expected to transform work, but less is known about how firms reorganize labor demand as the technology diffuses. Existing research has largely focused on which occupations are exposed to AI or whether exposed jobs decline. We extend this debate by examining whether firms adjust by changing where they hire, what jobs contain, or both. Using a nationwide dataset of job postings in the United States, covering all sectors of the economy, we construct a dynamic, posting-level measure of generative AI exposure with a two-stage large language model pipeline. The pipeline identifies the tasks described in each posting and classifies the extent to which ...
| Authors | Fangyan Wang, Zaiyan Wei, Yang Wang |
|---|---|
| Primary category | econ.GN |
| Published | 22 May 2026 |
| Last updated at source | 22 May 2026 |
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