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AI and Jobs: the role of demand

Citations

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Cited by:

  1. Songul Tolan & Annarosa Pesole & Fernando Martinez-Plumed & Enrique Fernandez-Macias & José Hernandez-Orallo & Emilia Gomez, 2020. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks," JRC Working Papers on Labour, Education and Technology 2020-02, Joint Research Centre.
  2. Gries, Thomas & Naudé, Wim, 2018. "Artificial Intelligence, Jobs, Inequality and Productivity: Does Aggregate Demand Matter?," IZA Discussion Papers 12005, Institute of Labor Economics (IZA).
  3. Eric J. Bartelsman, 2019. "From New Technology to Productivity," European Economy - Discussion Papers 113, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  4. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
  5. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
  6. Mutascu, Mihai, 2021. "Artificial intelligence and unemployment: New insights," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 653-667.
  7. Filippo Bertani & Marco Raberto & Andrea Teglio, 2020. "The productivity and unemployment effects of the digital transformation: an empirical and modelling assessment," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 329-355, November.
  8. Naude, Wim & Dimitri, Nicola, 2018. "The race for an artificial general intelligence: Implications for public policy," MERIT Working Papers 2018-032, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  9. Naude, Wim, 2018. "Structural transformation in Africa: New technologies, resurgent entrepreneurship and the revival of manufacturing," MERIT Working Papers 2018-045, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  10. Qian, Cheng & Zhu, Chun & Huang, Duen-Huang & Zhang, Shangfeng, 2023. "Examining the influence mechanism of artificial intelligence development on labor income share through numerical simulations," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  11. Santos, Sergio & Kissamitaki, Maritsa & Chiesa, Matteo, 2020. "Should humans work?," Telecommunications Policy, Elsevier, vol. 44(6).
  12. Wim Naudé, 2019. "New Technology, Entrepreneurship and the Revival of Manufacturing in Africa: Opportunities for Youth and Women?," Working Papers idrcdpru4ir, University of Cape Town, Development Policy Research Unit.
  13. Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019. "AI meets labor market: Exploring the link between automation and skills," Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
  14. Geiger, Niels & Prettner, Klaus & Schwarzer, Johannes A., 2018. "Automatisierung, Wachstum und Ungleichheit," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
  15. Bertin Martens & Songul Tolan, 2018. "Will this time be different? A review of the literature on the Impact of Artificial Intelligence on Employment, Incomes and Growth," JRC Working Papers on Digital Economy 2018-08, Joint Research Centre.
  16. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the digital divide: Workers' exposure to digitalization and its consequences for individual employment," Discussion Papers 118, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
  17. Bertani, Filippo & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "Digital Innovation and its Potential Consequences: the Elasticity Augmenting Approach," MPRA Paper 105326, University Library of Munich, Germany.
  18. Azio Barani, 2021. "Innovazione tecnologica e lavoro: automazione, occupazione e impatti socio-economici," QUADERNI DI ECONOMIA DEL LAVORO, FrancoAngeli Editore, vol. 0(114), pages 51-79.
  19. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
  20. Kanzola, Anna-Мaria & Papaioannou, Konstantina & Petrakis, Panagiotis, 2024. "Unlocking society's standings in artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  21. Nicoleta ISAC & Cosmin DOBRIN & Waqar BADSHAH, 2020. "The Impact of Sustainable Transition of Automation on Employees in the Automotive Sector and the Influence of Corona Pandemic," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 21(4), pages 429-436, October.
  22. Chen, Chuanglian & Wang, Shudan & Yao, Shujie & Lin, Yuting, 2023. "Does digital transformation increase the labor income share? From a perspective of resources reallocation," Economic Modelling, Elsevier, vol. 128(C).
  23. Zhaoqing Sun & Jianxu Liu & Roengchai Tansuchat, 2023. "China’s Digital Economy and Enterprise Labor Demand: The Mediating Effects of Green Technology Innovation," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
  24. David Klenert & Enrique Fernández-Macías & José-Ignacio Antón, 2023. "Do robots really destroy jobs? Evidence from Europe," Economic and Industrial Democracy, Department of Economic History, Uppsala University, Sweden, vol. 44(1), pages 280-316, February.
  25. Maria-Chiara Morandini & Anna Thum-Thysen & Anneleen Vandeplas, 2020. "Facing the Digital Transformation: Are Digital Skills Enough?," European Economy - Economic Briefs 054, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  26. Tubadji, Annie & Huang, Haoran & Webber, Don J, 2021. "Cultural proximity bias in AI-acceptability: The importance of being human," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  27. Fatima, Samar & Desouza, Kevin C. & Dawson, Gregory S., 2020. "National strategic artificial intelligence plans: A multi-dimensional analysis," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 178-194.
  28. Gries, Thomas & Naudé, Wim, 2021. "The Race of Man and Machine: Implications of Technology When Abilities and Demand Constraints Matter," IZA Discussion Papers 14341, Institute of Labor Economics (IZA).
  29. Getu Hailu, 2023. "Reflections on technological progress in the agri‐food industry: Past, present, and future," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 71(1), pages 119-141, March.
  30. Marcello Nieddu & Filippo Bertani & Linda Ponta, 2022. "The sustainability transition and the digital transformation: two challenges for agent-based macroeconomic models," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 193-226, April.
  31. Naudé, Wim, 2018. "Brilliant Technologies and Brave Entrepreneurs: A New Narrative for African Manufacturing," IZA Discussion Papers 11941, Institute of Labor Economics (IZA).
  32. Wiljan van den Berge, 2019. "Automatic Reaction – What Happens to Workers at Firms that Automate?," CPB Discussion Paper 390, CPB Netherlands Bureau for Economic Policy Analysis.
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