Generative AI impacts on intra-urban inequality and skill premium in Beijing
Generative artificial intelligence (GenAI) is the first automation wave to reach high-cognitive tasks at scale, yet its effects on intra-urban inequality remain largely unknown. Using 5 million job postings from Beijing (2018--2024), we construct a neighborhood-level GenAI Exposure Index by aggregating task-level assessments from five leading large language models. We examine the spatial, structural and causal mechanisms of this shock. We find that GenAI exposure is highly concentrated in the city's core districts, deepening the intra-urban AI divide. Since 2023, high-exposure neighborhoods have experienced wage stagnation even as they continue to attract high-skilled workers -- a "high-s...
| Authors | Xiliu He, Haoxiang Zhao, Mingyi Ma et al. |
|---|---|
| Primary category | cs.CY |
| Published | 25 May 2026 |
| Last updated at source | 25 May 2026 |
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