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Generative AI impacts on intra-urban inequality and skill premium in Beijing

Author

Listed:
  • Xiliu He
  • Haoxiang Zhao
  • Mingyi Ma
  • Edward Wen Chuan Lai
  • Koei Enomoto
  • Anni Hu
  • Jiatong Li
  • Lingyun Chu
  • Yuan Lai

Abstract

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-skill trap." This wage penalty is driven by task de-skilling and intensified labor-market crowding. A difference-in-differences design centered on ChatGPT's release supports a causal interpretation. These findings challenge the prevailing theory of skill-biased technological change and provide a basis for inclusive AI governance in global technology hubs.

Suggested Citation

  • Xiliu He & Haoxiang Zhao & Mingyi Ma & Edward Wen Chuan Lai & Koei Enomoto & Anni Hu & Jiatong Li & Lingyun Chu & Yuan Lai, 2026. "Generative AI impacts on intra-urban inequality and skill premium in Beijing," Papers 2605.25505, arXiv.org.
    • Handle: RePEc:arx:papers:2605.25505
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    References listed on IDEAS

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    1. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    2. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    3. Daron Acemoglu, 2025. "The simple macroeconomics of AI," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 13-58.
    4. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    5. Ms. Florence Jaumotte & Jaden Kim & David Koll & Elmer Li & Longji Li & Mr. Giovanni Melina & Alina Song & Ms. Marina Mendes Tavares, 2026. "Bridging Skill Gaps for the Future: New Jobs Creation in the AI Age," IMF Staff Discussion Notes 2026/001, International Monetary Fund.
    6. Gmyrek, Pawel, & Berg, Janine, & Bescond, David,, 2023. "Generative AI and jobs a global analysis of potential effects on job quantity and quality," ILO Working Papers 995324892702676, International Labour Organization.
    7. Aart Kraay & David McKenzie, 2014. "Do Poverty Traps Exist? Assessing the Evidence," Journal of Economic Perspectives, American Economic Association, vol. 28(3), pages 127-148, Summer.
    8. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    9. Zsófia L. Bárány & Christian Siegel, 2018. "Job Polarization and Structural Change," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 57-89, January.
    10. Suzanne Kok & Bas ter Weel, 2014. "Cities, Tasks and Skills," CPB Discussion Paper 269.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Barrero, Jose Maria & Bloom, Nick & Davis, Steven J., 2020. "Why Working From Home Will Stick," SocArXiv wfdbe, Center for Open Science.
    12. Suzanne Kok & Bas ter Weel, 2014. "Cities, Tasks, And Skills," Journal of Regional Science, Wiley Blackwell, vol. 54(5), pages 856-892, November.
    13. David Card & John E. DiNardo, 2002. "Skill-Biased Technological Change and Rising Wage Inequality: Some Problems and Puzzles," Journal of Labor Economics, University of Chicago Press, vol. 20(4), pages 733-783, October.
    14. Xiaoying You, 2026. "China intensifies push to become world leader in tech and AI," Nature, Nature, vol. 651(8107), pages 859-860, March.
    15. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
    16. Suzanne Kok & Bas ter Weel, 2014. "Cities, Tasks and Skills," CPB Discussion Paper 269, CPB Netherlands Bureau for Economic Policy Analysis.
    17. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    18. repec:spo:wpmain:info:hdl:2441/4t83lre9hm91sq006n4940n19s is not listed on IDEAS
    19. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue nov.
    20. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    21. Enrico Moretti, 2021. "The Effect of High-Tech Clusters on the Productivity of Top Inventors," American Economic Review, American Economic Association, vol. 111(10), pages 3328-3375, October.
    22. Ricardo Vinuesa & Hossein Azizpour & Iolanda Leite & Madeline Balaam & Virginia Dignum & Sami Domisch & Anna Felländer & Simone Daniela Langhans & Max Tegmark & Francesco Fuso Nerini, 2020. "The role of artificial intelligence in achieving the Sustainable Development Goals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    23. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    24. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    25. Kraay, Aart & McKenzie, David, 2014. "Do poverty traps exist ?," Policy Research Working Paper Series 6835, The World Bank.
    26. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    27. Zsófia L. Bárány & Christian Siegel, 2018. "Job Polarization and Structural Change," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(1), pages 57-89, January.
    28. Barbara R. Bergmann, 1974. "Occupational Segregation, Wages and Profits When Employers Discriminate by Race or Sex," Eastern Economic Journal, Eastern Economic Association, vol. 1(2), pages 103-110, April.
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