Artificial Intelligence and Worker Stress: Evidence from Germany

被引:0
|
作者
Michael Koch [1 ]
Magnus Lodefalk [2 ]
机构
[1] Aarhus University,Department of Economics and Business Economics
[2] Örebro University,Department of Economics
[3] Ratio Institute,undefined
[4] Global Labor Organization,undefined
来源
Digital Society | 2025年 / 4卷 / 1期
关键词
Artificial intelligence technologies; Automation; Task content; Skills; Stress; I31; J24; J28; J44; N34; O33;
D O I
10.1007/s44206-025-00160-3
中图分类号
学科分类号
摘要
We use individual survey data providing detailed information on stress, technology adoption, and work, worker, and employer characteristics, in combination with recent measures of AI and robot exposure, to investigate how new technologies affect worker stress. We find a persistent negative relationship, suggesting that AI and robots could reduce the stress level of workers in Germany. We furthermore provide evidence on potential mechanisms to explain our findings. Overall, the paper contributes to the economic literature by providing suggestive evidence of modern technologies changing the way we perform our work in a way that reduces stress and work pressure.
引用
收藏
相关论文
共 50 条
  • [31] Artificial Intelligence in Service
    Huang, Ming-Hui
    Rust, Roland T.
    JOURNAL OF SERVICE RESEARCH, 2018, 21 (02) : 155 - 172
  • [32] Ironies of artificial intelligence
    Endsley, Mica R. R.
    ERGONOMICS, 2023, 66 (11) : 1656 - 1668
  • [33] Artificial Intelligence and Journalism
    Lewis, Seth C.
    Broussard, Meredith
    Diakopoulos, Nicholas
    Guzman, Andrea L.
    Abebe, Rediet
    Dupagne, Michel
    Chuan, Ching-Hua
    JOURNALISM & MASS COMMUNICATION QUARTERLY, 2019, 96 (03) : 673 - 695
  • [34] Artificial intelligence and IP
    不详
    WORLD PATENT INFORMATION, 2016, 46 : A1 - A3
  • [35] Artificial intelligence in surgery
    Varghese, Chris
    Harrison, Ewen M.
    O'Grady, Greg
    Topol, Eric J.
    NATURE MEDICINE, 2024, 30 (06) : 1257 - 1268
  • [36] Trust in Artificial Intelligence
    Sethumadhavan, Arathi
    ERGONOMICS IN DESIGN, 2019, 27 (02) : 34 - 34
  • [37] Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China
    Wang, Linhui
    Cao, Zhanglu
    Dong, Zhiqing
    STRUCTURAL CHANGE AND ECONOMIC DYNAMICS, 2023, 66 : 342 - 356
  • [38] Globalizing transit worker stress
    Fleming, Mark D.
    ANTHROPOLOGY & MEDICINE, 2023, 30 (04) : 330 - 345
  • [39] Artificial intelligence in anesthesiology
    Gheysen, F.
    Rex, S.
    ACTA ANAESTHESIOLOGICA BELGICA, 2023, 74 (03) : 185 - 194
  • [40] Artificial intelligence and the future of work - lessons from the sociology of expectations
    Vicsek, Lilla
    INTERNATIONAL JOURNAL OF SOCIOLOGY AND SOCIAL POLICY, 2021, 41 (7-8) : 842 - 861