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What Can Machines Learn, and What Does It Mean for Occupations and the Economy?

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Cited by:

  1. Dietlmeier, Simon Frederic, 2024. "Industrial Policy for Emerging Technologies: The Case of Narrow AI and the Manufacturing Value Chain as Blueprint for the Industrial Metaverse," MPRA Paper 121183, University Library of Munich, Germany.
  2. Tiare Rivera, 2019. "Efectos de la automatización en el empleo en Chile," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 34(1), pages 3-49, April.
  3. Christophe Combemale & Kate S Whitefoot & Laurence Ales & Erica R H Fuchs, 2021. "Not all technological change is equal: how the separability of tasks mediates the effect of technology change on skill demand [Patterns of industrial innovation]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1361-1387.
  4. Nikolova, Milena & Cnossen, Femke & Nikolaev, Boris, 2024. "Robots, meaning, and self-determination," Research Policy, Elsevier, vol. 53(5).
  5. Genz, Sabrina & Gregory, Terry & Janser, Markus & Lehmer, Florian & Matthes, Britta, 2021. "How do workers adjust when firms adopt new technologies?," ZEW Discussion Papers 21-073, ZEW - Leibniz Centre for European Economic Research.
  6. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
  7. Bachmann, Ronald & Gonschor, Myrielle & Milasi, Santo & Mitra, Alessio, 2023. "Technological progress and the dynamics of self-employment: Worker-level evidence for Europe," Ruhr Economic Papers 1023, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
  8. Daniel Susskind, 2019. "Re-thinking the capabilities of technology in economics," Economics Bulletin, AccessEcon, vol. 39(1), pages 280-288.
  9. Andrea Szalavetz, 2019. "Artificial Intelligence-Based Development Strategy in Dependent Market Economies - Any Room amidst Big Power Rivalry?," Central European Business Review, Prague University of Economics and Business, vol. 2019(4), pages 40-54.
  10. Seamus McGuinness & Konstantinos Pouliakas & Paul Redmond, 2023. "Skills-displacing technological change and its impact on jobs: challenging technological alarmism?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(3), pages 370-392, April.
  11. Mario Benassi & Elena Grinza & Francesco Rentocchini, 2020. "The rush for patents in the Fourth Industrial Revolution," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 559-588, December.
  12. Albanesi, Stefania & Da Silva, António Dias & Jimeno, Juan F. & Lamo, Ana & Wabitsch, Alena, 2023. "New technologies and jobs in Europe," Working Paper Series 2831, European Central Bank.
  13. Nils Arne Bakke & Jens Barland, 2022. "Disruptive Innovations and Paradigm Shifts in Journalism as a Business: From Advertisers First to Readers First and Traditional Operational Models to the AI Factory," SAGE Open, , vol. 12(2), pages 21582440221, April.
  14. 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.
  15. Faber, Marius & Sarto, Andrés & Tabellini, Marco, 2021. "Local Shocks and Internal Migration: The Disparate Effects of Robots and Chinese Imports in the US," IZA Discussion Papers 14623, Institute of Labor Economics (IZA).
  16. Nicolaj S{o}ndergaard Muhlbach, 2021. "occ2vec: A principal approach to representing occupations using natural language processing," Papers 2111.02528, arXiv.org, revised Jul 2022.
  17. Jens Prüfer & Patricia Prüfer, 2020. "Data science for entrepreneurship research: studying demand dynamics for entrepreneurial skills in the Netherlands," Small Business Economics, Springer, vol. 55(3), pages 651-672, October.
  18. Sara Amoroso & Dario Diodato & Bronwyn H. Hall & Pietro Moncada-Paternò-Castello, 2023. "Technological relatedness and industrial transformation:," The Journal of Technology Transfer, Springer, vol. 48(2), pages 469-475, April.
  19. Lucrezia Fanti & Dario Guarascio & Massimo Moggi, 2020. "The development of AI and its impact on business models, organization and work," LEM Papers Series 2020/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  20. Tamm, Marcus, 2018. "Training and changes in job Tasks," Economics of Education Review, Elsevier, vol. 67(C), pages 137-147.
  21. Gardberg, Malin & Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2020. "Digitization-based automation and occupational dynamics," Economics Letters, Elsevier, vol. 189(C).
  22. Grimm, Felix & Gathmann, Christina, 2022. "The Diffusion of Digital Technologies and its Consequences in the Labor Market," VfS Annual Conference 2022 (Basel): Big Data in Economics 264087, Verein für Socialpolitik / German Economic Association.
  23. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2022. "Patenting in 4IR technologies and firm performance [Robots and jobs: evidence from US labor markets]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 112-136.
  24. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
  25. Alessandra Bonfiglioli & Rosario Crinò & Gino Gancia & Ioannis Papadakis, 2023. "Artificial Intelligence and Jobs: Evidence from US Commuting Zones," CESifo Working Paper Series 10685, CESifo.
  26. Xueling Li & Xiaoyan Zhang & Yuan Liu & Yuanying Mi & Yong Chen, 2022. "The impact of artificial intelligence on users' entrepreneurial activities," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 597-608, May.
  27. Plümpe Verena & Stegmaier Jens, 2023. "Micro Data on Robots from the IAB Establishment Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(3-4), pages 397-413, June.
  28. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
  29. Andreas Irmen, 2021. "Automation, growth, and factor shares in the era of population aging," Journal of Economic Growth, Springer, vol. 26(4), pages 415-453, December.
  30. Maury Gittleman & Kristen Monaco, 2020. "Truck-Driving Jobs: Are They Headed for Rapid Elimination?," ILR Review, Cornell University, ILR School, vol. 73(1), pages 3-24, January.
  31. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2020. "AI and Jobs: Evidence from Online Vacancies," NBER Working Papers 28257, National Bureau of Economic Research, Inc.
  32. Mariya Brussevich & Ms. Era Dabla-Norris & Salma Khalid, 2019. "Is Technology Widening the Gender Gap? Automation and the Future of Female Employment," IMF Working Papers 2019/091, International Monetary Fund.
  33. Genz, Sabrina & Schnabel, Claus, 2021. "Digging into the Digital Divide: Workers' Exposure to Digitalization and Its Consequences for Individual Employment," IZA Discussion Papers 14649, Institute of Labor Economics (IZA).
  34. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-routinization in the fourth industrial revolution: Firm-level evidence," ZEW Discussion Papers 24-005, ZEW - Leibniz Centre for European Economic Research.
  35. Wei, Xiahai & Xu, Jiawei & Cao, Hui, 2024. "Production automation upgrades and the mystery of workers' overwork: Evidence from a manufacturing employer-employee matching survey in China," Journal of Asian Economics, Elsevier, vol. 91(C).
  36. Alekseeva, Liudmila & Azar, José & Giné, Mireia & Samila, Sampsa & Taska, Bledi, 2021. "The demand for AI skills in the labor market," Labour Economics, Elsevier, vol. 71(C).
  37. Shiguang Li & Yixiang Tian, 2023. "How Does Digital Transformation Affect Total Factor Productivity: Firm-Level Evidence from China," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
  38. Matheus E. Leusin & Bjoern Jindra & Daniel S. Hain, 2021. "An evolutionary view on the emergence of Artificial Intelligence," Papers 2102.00233, arXiv.org.
  39. Wang, Huijuan & Ding, Lin & Guan, Rong & Xia, Yan, 2020. "Effects of advancing internet technology on Chinese employment: a spatial study of inter-industry spillovers," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  40. Oschinski, Matthias, 2023. "Assessing the Impact of Artificial Intelligence on Germany's Labor Market: Insights from a ChatGPT Analysis," MPRA Paper 118300, University Library of Munich, Germany.
  41. Jason Furman & Robert Seamans, 2019. "AI and the Economy," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 161-191.
  42. 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).
  43. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
  44. Mathieu Aubry & Roman Kräussl & Gustavo Manso & Christophe Spaenjers, 2023. "Biased Auctioneers," Journal of Finance, American Finance Association, vol. 78(2), pages 795-833, April.
  45. Hunt, Wil & Sarkar, Sudipa & Warhurst, Chris, 2022. "Measuring the impact of AI on jobs at the organization level: Lessons from a survey of UK business leaders," Research Policy, Elsevier, vol. 51(2).
  46. Anna V. Tikhonova, 2023. "Development of Tax Incentives for Investments in Human Capital," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 116-133, February.
  47. Aksoy, Cevat Giray & Özcan, Berkay & Philipp, Julia, 2021. "Robots and the gender pay gap in Europe," European Economic Review, Elsevier, vol. 134(C).
  48. Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
  49. Fossen, Frank M. & Sorgner, Alina, 2022. "New digital technologies and heterogeneous wage and employment dynamics in the United States: Evidence from individual-level data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  50. Pablo Casas & Concepción Román, 2024. "The impact of artificial intelligence in the early retirement decision," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 51(3), pages 583-618, August.
  51. Christenko, Aleksandr, 2022. "Automation and occupational mobility: A task and knowledge-based approach," Technology in Society, Elsevier, vol. 70(C).
  52. Akter, Shahriar & Hossain, Md Afnan & Sajib, Shahriar & Sultana, Saida & Rahman, Mahfuzur & Vrontis, Demetris & McCarthy, Grace, 2023. "A framework for AI-powered service innovation capability: Review and agenda for future research," Technovation, Elsevier, vol. 125(C).
  53. Pelin Ozgul & Marie-Christine Fregin & Michael Stops & Simon Janssen & Mark Levels, 2024. "High-skilled Human Workers in Non-Routine Jobs are Susceptible to AI Automation but Wage Benefits Differ between Occupations," Papers 2404.06472, arXiv.org.
  54. Antonio Dalla Zuanna & Davide Dottori & Elena Gentili & Salvatore Lattanzio, 2024. "An assessment of occupational exposure to artificial intelligence in Italy," Questioni di Economia e Finanza (Occasional Papers) 878, Bank of Italy, Economic Research and International Relations Area.
  55. Parteka, Aleksandra & Wolszczak-Derlacz, Joanna & Nikulin, Dagmara, 2024. "How digital technology affects working conditions in globally fragmented production chains: Evidence from Europe," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  56. David J Deming & Kadeem Noray, 2020. "Earnings Dynamics, Changing Job Skills, and STEM Careers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1965-2005.
  57. Damiani, Mirella & Pompei, Fabrizio & Kleinknecht, Alfred, 2020. "When robots do (not) enhance job quality: The role of innovation regimes," MPRA Paper 103059, University Library of Munich, Germany.
  58. Mauro Caselli & Andrea Fracasso & Arianna Marcolin & Sergio Scicchitano, 2023. "The reassuring effect of firms' technological innovations on workers' job insecurity," International Journal of Manpower, Emerald Group Publishing Limited, vol. 45(4), pages 754-778, October.
  59. 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).
  60. Zuazu-Bermejo, Izaskun, 2022. "Robots and women in manufacturing employment," ifso working paper series 19, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
  61. Lan Chen & Yufei Ji & Xichen Yao & Hengshu Zhu, 2024. "Occupation Life Cycle," Papers 2406.15373, arXiv.org.
  62. Dario Guarascio & Jelena Reljic & Roman Stollinger, 2023. "Artificial Intelligence and Employment: A Look into the Crystal Ball," LEM Papers Series 2023/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  63. Gruetzemacher, Ross & Paradice, David & Lee, Kang Bok, 2020. "Forecasting extreme labor displacement: A survey of AI practitioners," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  64. Ayoubi, Charles, 2020. "Machine learning in healthcare: Mirage or miracle for breaking the costs dead-lock?," Thesis Commons tc24d, Center for Open Science.
  65. Fernando Martinez-Plumed & Emilia Gomez Gutierrez & Jose Hernandez-Orallo, 2020. "AI Watch Assessing Technology Readiness Levels for Artificial Intelligence," JRC Research Reports JRC122014, Joint Research Centre.
  66. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
  67. 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.
  68. Hang, Leiming & Lu, Wei & Ge, Xiaowei & Ye, Bin & Zhao, Zhiqi & Cheng, Fangfang, 2024. "R&D innovation, industrial evolution and the labor skill structure in China manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
  69. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
  70. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2021. "Labour-saving automation and occupational exposure: a text-similarity measure," DISCE - Quaderni del Dipartimento di Politica Economica dipe0021, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  71. Scholl, Keller & Hanson, Robin, 2020. "Testing the automation revolution hypothesis," Economics Letters, Elsevier, vol. 193(C).
  72. Ali Sina Önder & Sascha Schweitzer & Olga Tcaci, 2024. "Innovation and Regional Development: The Impact of Patenting on Labor Market Outcomes," Working Papers in Economics & Finance 2024-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
  73. Andrew Weaver, 2021. "Hiring Frictions in a Regulated Occupation: Evidence from US Laboratories," British Journal of Industrial Relations, London School of Economics, vol. 59(3), pages 899-927, September.
  74. 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.
  75. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
  76. 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).
  77. Benítez, Miguel & Parrado, Eric, 2024. "Mirror, Mirror on the Wall: Which Jobs Will AI Replace After All?: A New Index of Occupational Exposure," IDB Publications (Working Papers) 13696, Inter-American Development Bank.
  78. 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).
  79. Gangdong Peng & Minchun Han & Hankun Yuan, 2024. "Artificial Intelligence Drives the Coordinated Development of Green Finance and the Real Economy: Empirical Evidence from Chinese Provincial Level," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 10257-10295, September.
  80. 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.
  81. Aubry, Mathieu & Kräussl, Roman & Manso, Gustavo & Spaenjers, Christophe, 2019. "Machine learning, human experts, and the valuation of real assets," CFS Working Paper Series 635, Center for Financial Studies (CFS).
  82. Seifried, Mareike, 2021. "Transitions from offline to online labor markets: The relationship between freelancers' prior offline and online work experience," ZEW Discussion Papers 21-101, ZEW - Leibniz Centre for European Economic Research.
  83. Ivanov, Boris, 2023. "Changes in Occupational Tasks and the Costs of Job Loss," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277669, Verein für Socialpolitik / German Economic Association.
  84. Zhang, Xinchun & Sun, Murong & Liu, Jianxu & Xu, Aijia, 2024. "The nexus between industrial robot and employment in China: The effects of technology substitution and technology creation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
  85. Ed Felten & Manav Raj & Robert Seamans, 2023. "How will Language Modelers like ChatGPT Affect Occupations and Industries?," Papers 2303.01157, arXiv.org, revised Mar 2023.
  86. Anuraag Singh & Giorgio Triulzi & Christopher L. Magee, 2020. "Technological improvement rate estimates for all technologies: Use of patent data and an extended domain description," Papers 2004.13919, arXiv.org.
  87. George Amoako & Paul Omari & Desmond K. Kumi & George Cudjoe Agbemabiase & George Asamoah, 2021. "Conceptual Framework—Artificial Intelligence and Better Entrepreneurial Decision-Making: The Influence of Customer Preference, Industry Benchmark, and Employee Involvement in an Emerging Market," JRFM, MDPI, vol. 14(12), pages 1-20, December.
  88. Makridis, Christos A. & Han, Joo Hun, 2021. "Future of work and employee empowerment and satisfaction: Evidence from a decade of technological change," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  89. Fossen, Frank M. & Sorgner, Alina, 2021. "Digitalization of work and entry into entrepreneurship," Journal of Business Research, Elsevier, vol. 125(C), pages 548-563.
  90. 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.
  91. Fossen, Frank M. & Sorgner, Alina, 2019. "New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data," IZA Discussion Papers 12242, Institute of Labor Economics (IZA).
  92. Innocenti, Stefania & Golin, Marta, 2022. "Human capital investment and perceived automation risks: Evidence from 16 countries," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 27-41.
  93. Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024. "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers 17055, Institute of Labor Economics (IZA).
  94. Seth G. Benzell & Erik Brynjolfsson, 2019. "Digital Abundance and Scarce Genius: Implications for Wages, Interest Rates, and Growth," NBER Working Papers 25585, National Bureau of Economic Research, Inc.
  95. 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.
  96. Samir Huseynov, 2023. "ChatGPT and the Labor Market: Unraveling the Effect of AI Discussions on Students' Earnings Expectations," Papers 2305.11900, arXiv.org, revised Aug 2023.
  97. Tanvir Ahmed Khan, 2023. "Can Unbiased Predictive AI Amplify Bias?," Working Paper 1510, Economics Department, Queen's University.
  98. Neumann, Uwe, 2020. "Lebenslanges Lernen als Standortfaktor? Weiterbildungschancen im Vergleich der deutschen Bundesländer," RWI Materialien 138, RWI - Leibniz-Institut für Wirtschaftsforschung.
  99. Helena Corrales-Herrero & Beatriz Rodríguez-Prado, 2024. "Mapping the Occupations of Recent Graduates. The Role of Academic Background in the Digital Era," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(8), pages 1853-1882, December.
  100. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
  101. Grimm, Felix, 2024. "Digital Technologies, Job Quality and Employer-provided Training," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302402, Verein für Socialpolitik / German Economic Association.
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