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Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction

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Cited by:

  1. Daxing Chen & Helian Xu & Guangya Zhou, 2024. "Has Artificial Intelligence Promoted Manufacturing Servitization: Evidence from Chinese Enterprises," Sustainability, MDPI, vol. 16(6), pages 1-19, March.
  2. Arai Koki, 2024. "Law and Economics of Language Model Development: Empirical Examination of Corporate Strategies and Vaporware Claims," Asian Journal of Law and Economics, De Gruyter, vol. 15(1), pages 31-53, April.
  3. Tania Babina & Alex X. He & Anastassia Fedyk & James Hodson, 2022. "Artificial Intelligence, Firm Growth, and Product Innovation," NBER Chapters, in: Economics of Artificial Intelligence, National Bureau of Economic Research, Inc.
  4. Nicoletta Corrocher & Daniele Moschella & Jacopo Staccioli & Marco Vivarelli, 2023. "Innovation and the Labor Market: Theory, Evidence and Challenges," DISCE - Quaderni del Dipartimento di Politica Economica dipe0033, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  5. Duch-Brown, Néstor & Gomez-Herrera, Estrella & Mueller-Langer, Frank & Tolan, Songül, 2022. "Market power and artificial intelligence work on online labour markets," Research Policy, Elsevier, vol. 51(3).
  6. Joshua S. Gans, 2023. "Artificial intelligence adoption in a competitive market," Economica, London School of Economics and Political Science, vol. 90(358), pages 690-705, April.
  7. Anastassia Fedyk & James Hodson & Natalya Khimich & Tatiana Fedyk, 2022. "Is artificial intelligence improving the audit process?," Review of Accounting Studies, Springer, vol. 27(3), pages 938-985, September.
  8. Johanna Deperi & Ludovic Dibiaggio & Mohamed Keita & Lionel Nesta, 2023. "Ideas Without Scale in French Artificial Intelligence Innovations," SciencePo Working papers Main hal-04144817, HAL.
  9. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  10. Lee, Yong Suk & Kim, Taekyun & Choi, Sukwoong & Kim, Wonjoon, 2022. "When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy," Technovation, Elsevier, vol. 118(C).
  11. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
  12. 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.
  13. Xie, Mengmeng & Ding, Lin & Xia, Yan & Guo, Jianfeng & Pan, Jiaofeng & Wang, Huijuan, 2021. "Does artificial intelligence affect the pattern of skill demand? Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 96(C), pages 295-309.
  14. Martin Beraja & Andrew Kao & David Y Yang & Noam Yuchtman, 2023. "Ai-Tocracy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(3), pages 1349-1402.
  15. Bernardo S Buarque & Ronald B Davies & Ryan M Hynes & Dieter F Kogler, 2020. "OK Computer: the creation and integration of AI in Europe," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 175-192.
  16. Qianqian Guo & Zhifang Su, 2023. "The Application of Industrial Robot and the High-Quality Development of Manufacturing Industry: From a Sustainability Perspective," Sustainability, MDPI, vol. 15(16), pages 1-26, August.
  17. Ekaterina Prytkova, 2021. "ICT's Wide Web: a System-Level Analysis of ICT's Industrial Diffusion with Algorithmic Links," Jena Economics Research Papers 2021-005, Friedrich-Schiller-University Jena.
  18. Kreitmeir, David & Raschky, Paul Anton, 2023. "The Unintended Consequences of Censoring Digital Technology - Evidence from Italy's ChatGPT Ban," SocArXiv v3cgs, Center for Open Science.
  19. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
  20. 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).
  21. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2022. "The empirics of technology, employment and occupations: lessons learned and challenges ahead," DISCE - Quaderni del Dipartimento di Politica Economica dipe0028, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  22. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
  23. Erik Brynjolfsson & Xiang Hui & Meng Liu, 2019. "Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform," Management Science, INFORMS, vol. 65(12), pages 5449-5460, December.
  24. A. O. Aver’yanov & I. S. Stepus’ & V. A. Gurtov, 2023. "Forecast of Staffing Needs for the Artificial Intelligence Sector in Russia," Studies on Russian Economic Development, Springer, vol. 34(1), pages 86-95, February.
  25. Jeff Borland & Michael Coelli, 2023. "The Australian labour market and IT-enabled technological change," Melbourne Institute Working Paper Series wp2023n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  26. David M. Byrne, 2022. "The Digital Economy and Productivity," Finance and Economics Discussion Series 2022-038, Board of Governors of the Federal Reserve System (U.S.).
  27. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
  28. Goel, Rajeev K. & Nelson, Michael A., 2023. "Awareness of artificial intelligence: Diffusion of information about AI versus ChatGPT in the United States," Kiel Working Papers 2259, Kiel Institute for the World Economy (IfW Kiel).
  29. Li, Minghuan & Jiang, Anxuan & Ma, Jianteng, 2023. "Digital transformation and income inequality within enterprises – Evidence from listed companies in China," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
  30. Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
  31. 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).
  32. Lili Yan Ing & Gene Grossman & David Christian, 2022. "Digital Transformation:‘Development for All’?," Chapters, in: Lili Yan Ing & Dani Rodrik (ed.), New Normal, New Technologies, New Financing, chapter 7, pages 75-88, Economic Research Institute for ASEAN and East Asia (ERIA).
  33. Ekaterina Prytkova & Simone Vannuccini, 2022. "On the basis of brain: neural-network-inspired changes in general-purpose chips," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(4), pages 1031-1055.
  34. Ayoubi, Charles, 2020. "Machine learning in healthcare: Mirage or miracle for breaking the costs dead-lock?," Thesis Commons tc24d, Center for Open Science.
  35. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
  36. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
  37. Jean Roisse Rodrigues Ferreira, 2022. "Decision-Making under Risk: Conditions Affecting the Risk Preferences of Politicians in Digitalization," IJERPH, MDPI, vol. 19(5), pages 1-12, March.
  38. Alejandro Lopez-Lira & Yuehua Tang, 2023. "Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models," Papers 2304.07619, arXiv.org, revised Sep 2023.
  39. Lucrezia Fanti & Dario Guarascio & Massimo Moggi, 2022. "From Heron of Alexandria to Amazon’s Alexa: a stylized history of AI and its impact on business models, organization and work," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(3), pages 409-440, September.
  40. Michael Coelli & Jeff Borland, 2019. "Behind the headline number: Why not to rely on Frey and Osborne’s predictions of potential job loss from automation," Melbourne Institute Working Paper Series wp2019n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  41. Emin Dinlersoz & Can Dogan & Nikolas Zolas, 2024. "Starting Up AI," Working Papers 24-09, Center for Economic Studies, U.S. Census Bureau.
  42. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2023. "Similarities and Differences in the Adoption of General Purpose Technologies," NBER Chapters, in: Technology, Productivity, and Economic Growth, National Bureau of Economic Research, Inc.
  43. Montobbio, F. & Staccioli, J. & Virgillito, M.E. & Vivarelli, Marco, 2022. "The empirics of technology, employment and occupations," MERIT Working Papers 2022-037, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  44. Stefan PRAHOVEANU & Violeta SIMA & Ileana Georgiana GHEORGHE, 2023. "Digitalization in Romania in the Context of Economic Changes," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 102-113.
  45. Dandan Qiao & Huaxia Rui & Qian Xiong, 2023. "AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform," Papers 2312.04180, arXiv.org.
  46. Anke Hassel & Didem Özkiziltan, 2023. "Governing the work-related risks of AI: implications for the German government and trade unions," Transfer: European Review of Labour and Research, , vol. 29(1), pages 71-86, February.
  47. Xin Du & Hengming Zhang & Yawen Han, 2022. "How Does New Infrastructure Investment Affect Economic Growth Quality? Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-30, March.
  48. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
  49. Alexandra Tsvetkova & Rudiger Ahrend & Joaquim Oliveira Martins & Alexander C. Lembcke & Polina Knutsson & Dylan Jong & Nikolaos Terzidis, 2020. "The spatial dimension of productivity: Connecting the dots across industries, firms and places," OECD Regional Development Working Papers 2020/01, OECD Publishing.
  50. Josef Åström & Wiebke Reim & Vinit Parida, 2022. "Value creation and value capture for AI business model innovation: a three-phase process framework," Review of Managerial Science, Springer, vol. 16(7), pages 2111-2133, October.
  51. Linh Tu Ho & Christopher Gan & Shan Jin & Bryan Le, 2022. "Artificial Intelligence and Firm Performance: Does Machine Intelligence Shield Firms from Risks?," JRFM, MDPI, vol. 15(7), pages 1-20, July.
  52. Matej Belin, 2021. "Does Robots´Reach Exceed Their Grasp? Differential Impacts of Robot Adoption and Spillover Effects on Workers in the Czech Republic," CERGE-EI Working Papers wp688, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  53. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
  54. Tania Babina & Anastassia Fedyk & Alex X. He & James Hodson, 2023. "Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition," NBER Chapters, in: Technology, Productivity, and Economic Growth, National Bureau of Economic Research, Inc.
  55. Sagarika Mishra & Michael T. Ewing & Holly B. Cooper, 2022. "Artificial intelligence focus and firm performance," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1176-1197, November.
  56. Mourelatos, Evangelos & Zervas, Panagiotis & Lagios, Dimitris & Tzimas, Giannis, 2024. "Can AI Bridge the Gender Gap in Competitiveness?," GLO Discussion Paper Series 1404, Global Labor Organization (GLO).
  57. Violeta Sima & Ileana Georgiana Gheorghe & Jonel Subić & Dumitru Nancu, 2020. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
  58. MORIKAWA Masayuki, 2020. "Heterogeneous Relationships between Automation Technologies and Skilled Labor: Evidence from a Firm Survey," Discussion papers 20004, Research Institute of Economy, Trade and Industry (RIETI).
  59. Bastani, Spencer & Karlsson, Kristina & Kolsrud, Jonas & Waldenström, Daniel, 2024. "The Capital Advantage: Comparing Returns to Ability in the Labor and Capital Markets," Working Papers in Economics and Statistics 1/2024, Linnaeus University, School of Business and Economics, Department of Economics and Statistics.
  60. Graetz, Georg, 2020. "Technological change and the Swedish labor market," Working Paper Series 2020:19, IFAU - Institute for Evaluation of Labour Market and Education Policy.
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