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Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms

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  • Yang Shen

    (Huaqiao University)

Abstract

Technological innovation has promoted the development of human flourishing. Based on panel data for 30 provinces in China from 2006 to 2022, this study examines the impact of artificial intelligence (AI) on manufacturing employment in China using the two-way fixed-effect model and the instrumental variable method. The study finds that contrary to the traditional impression of “machines replacing humans,” AI technology is correlated with increasing the total number of jobs on the market. Thanks to more efficient labor productivity, capital deepening, and specialized division of labor from integrating digital technology, AI offsets the negative effect of robots on employment and significantly increases manufacturing enterprises’ market size and production scale, with a significant job creation effect. Heterogeneity is evident in the positive impact of AI on employment, which has increased the number of jobs in labor-intensive industries and for female workers. Regions with more complete digital infrastructure construction exhibit stronger job creation effects. Mechanism research reveals that the geographical agglomeration mode of traditional industries are undergoing evolutionary transitions under the transformation of digital technology, and modern industrial agglomeration represented by virtual agglomeration is an indispensable mediating mechanism for AI to create jobs. The study’s conclusions can alleviate citizen’s concerns regarding AI crowding-out jobs, encouraging workers and policymakers to make full use of AI technology to improve employment in the digital economy era.

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  • Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    • Handle: RePEc:kap:ecopln:v:57:y:2024:i:2:d:10.1007_s10644-024-09629-6
    DOI: 10.1007/s10644-024-09629-6
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    1. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    2. Madureira, António & den Hartog, Frank & Bouwman, Harry & Baken, Nico, 2013. "Empirical validation of Metcalfe’s law: How Internet usage patterns have changed over time," Information Economics and Policy, Elsevier, vol. 25(4), pages 246-256.
    3. Bárány, Zsófia L. & Siegel, Christian, 2020. "Biased technological change and employment reallocation," Labour Economics, Elsevier, vol. 67(C).
    4. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2023. "AI technologies and employment: micro evidence from the supply side," Applied Economics Letters, Taylor & Francis Journals, vol. 30(6), pages 816-821, March.
    5. Daron Acemoglu & Pascual Restrepo, 2018. "Low-Skill and High-Skill Automation," Journal of Human Capital, University of Chicago Press, vol. 12(2), pages 204-232.
    6. LIU, Nian & GU, Xinhua & LEI, Chun Kwok, 2022. "The equilibrium effects of digital technology on banking, production, and employment," Finance Research Letters, Elsevier, vol. 49(C).
    7. Javed, Mohsin, 2023. "Robots, Natives and Immigrants in US local labor markets," Labour Economics, Elsevier, vol. 85(C).
    8. Jean-Baptiste Michau, 2013. "Creative Destruction with On-the-Job Search," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(4), pages 691-707, October.
    9. Vassil Kirov & Bagryan Malamin, 2022. "Are Translators Afraid of Artificial Intelligence?," Societies, MDPI, vol. 12(2), pages 1-14, April.
    10. Brian Fabo & Jovana Karanovic & Katerina Dukova, 2017. "In search of an adequate European policy response to the platform economy," Transfer: European Review of Labour and Research, , vol. 23(2), pages 163-175, May.
    11. Filippi, Emilia & Bannò, Mariasole & Trento, Sandro, 2023. "Automation technologies and the risk of substitution of women: Can gender equality in the institutional context reduce the risk?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    12. 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.
    13. Kosta Josifidis & Novica Supic, 2018. "Income Polarization of the U.S. Working Class: An Institutionalist View," Journal of Economic Issues, Taylor & Francis Journals, vol. 52(2), pages 498-508, April.
    14. Ndubuisi, Gideon & Otioma, Chuks & Tetteh, Godsway Korku, 2021. "Digital infrastructure and employment in services: Evidence from Sub-Saharan African countries," Telecommunications Policy, Elsevier, vol. 45(8).
    15. Rafael Novella & David Rosas-Shady & Alfredo Alvarado, 2023. "Are we nearly there yet? New technology adoption and labor demand in Peru," Science and Public Policy, Oxford University Press, vol. 50(4), pages 565-578.
    16. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    17. Jeff Borland & Michael Coelli, 2017. "Are Robots Taking Our Jobs?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(4), pages 377-397, December.
    18. Mario Pianta, 2018. "Technology and Employment: Twelve Stylised Facts for the Digital Age," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(2), pages 189-225, June.
    19. Cruz, Manuel David, 2023. "Labor Productivity, Real Wages, and Employment in OECD Economies," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 367-382.
    20. Lu, Jing & Xiao, Qinglan & Wang, Taoxuan, 2023. "Does the digital economy generate a gender dividend for female employment? Evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    21. Paola Tubaro & Antonio A. Casilli & Marion Coville, 2020. "The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence," Post-Print hal-02554196, HAL.
    22. Forsythe, Eliza & Kahn, Lisa B. & Lange, Fabian & Wiczer, David, 2022. "Where have all the workers gone? Recalls, retirements, and reallocation in the COVID recovery," Labour Economics, Elsevier, vol. 78(C).
    23. Enzo Valentini & Fabiano Compagnucci & Mauro Gallegati & Andrea Gentili, 2023. "Robotization, employment, and income: regional asymmetries and long-run policies in the Euro area," Journal of Evolutionary Economics, Springer, vol. 33(3), pages 737-771, July.
    24. David H. Autor, 2019. "Work of the Past, Work of the Future," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 1-32, May.
    25. Jushan Bai, 2009. "Panel Data Models With Interactive Fixed Effects," Econometrica, Econometric Society, vol. 77(4), pages 1229-1279, July.
    26. Balsmeier, Benjamin & Woerter, Martin, 2019. "Is this time different? How digitalization influences job creation and destruction," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    27. Yang Shen & Zhihong Yang, 2023. "Chasing Green: The Synergistic Effect of Industrial Intelligence on Pollution Control and Carbon Reduction and Its Mechanisms," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    28. Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
    29. Chandan Sharma & Ritesh Kumar Mishra, 2023. "Imports, technology, and employment: Job creation or creative destruction," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 152-170, January.
    30. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Does technological innovation bring destruction or creation to the labor market?," Technology in Society, Elsevier, vol. 68(C).
    31. Kim, Bae-Geun, 2023. "Technological advances in manufacturing and their effects on sectoral employment in the Korean economy," Economic Modelling, Elsevier, vol. 126(C).
    32. Ma, Hongmei & Gao, Qian & Li, Xiuzhen & Zhang, Yun, 2022. "AI development and employment skill structure: A case study of China," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 242-254.
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    7. Lawrence P. W. Wong, 2024. "Artificial Intelligence and Job Automation: Challenges for Secondary Students’ Career Development and Life Planning," Merits, MDPI, vol. 4(4), pages 1-30, November.

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