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Are We Approaching an Economic Singularity" Information Technology and the Future of Economic Growth

Citations

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Cited by:

  1. Rod Tyers & Yixiao Zhou, 2023. "Automation and inequality with taxes and transfers," Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(1), pages 68-100, February.
  2. Jérôme Dugast & Thierry Foucault, 2020. "Equilibrium Data Mining and Data Abundance," Post-Print hal-02933315, HAL.
  3. Ashraf Elsafty & Ahmed Elzeftawy, 2021. "The New Era of Digital Transformation and COVID-19 Effect on The Employment in Mobile Operators in Egypt," Business and Management Studies, Redfame publishing, vol. 7(1), pages 74-99, March.
  4. Cédric Durand & Wiliiam Milberg, 2020. "Intellectual monopoly in global value chains," Review of International Political Economy, Taylor & Francis Journals, vol. 27(2), pages 404-429, March.
  5. Daron Acemoglu & Pascual Restrepo, 2018. "Modeling Automation," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 48-53, May.
  6. Ufuk Akcigit & Sina T. Ates, 2021. "Ten Facts on Declining Business Dynamism and Lessons from Endogenous Growth Theory," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 257-298, January.
  7. 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.
  8. Luca Grilli & Sergio Mariotti & Riccardo Marzano, 2024. "Artificial intelligence and shapeshifting capitalism," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 303-318, April.
  9. Gries, Thomas & Naude, Wim, 2018. "Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter?," MERIT Working Papers 2018-047, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  10. Zhaozhong Zhang & Fangfang Deng, 2023. "How can artificial intelligence boost firms’ exports? evidence from China," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-24, August.
  11. Ryan H. Murphy, 2024. "Prediction markets as meta‐episteme: Artificial intelligence, forecasting tournaments, prediction markets, and economic growth," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(2), pages 383-392, March.
  12. Terry Gregory & A.M. Salomons & Ulrich Zierahn, 2016. "Racing With or Against the Machine? Evidence from Europe," Working Papers 16-05, Utrecht School of Economics.
  13. Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2021. "The complexity of the intangible digital economy: an agent-based model," Journal of Business Research, Elsevier, vol. 129(C), pages 527-540.
  14. Rajat Kathuria & Mansi Kedia & Sashank Kapilavai, 2020. "Implications of AI on the Indian Economy," Indian Council for Research on International Economic Relations (ICRIER) Report 20-r-03, Indian Council for Research on International Economic Relations (ICRIER), New Delhi, India.
  15. Anton Korinek & Joseph E. Stiglitz, 2021. "Artificial Intelligence, Globalization, and Strategies for Economic Development," Working Papers Series inetwp146, Institute for New Economic Thinking.
  16. Naudé, Wim & Dimitri, Nicola, 2018. "The Race for an Artificial General Intelligence: Implications for Public Policy," IZA Discussion Papers 11737, Institute of Labor Economics (IZA).
  17. repec:hal:cepnwp:hal-01850438 is not listed on IDEAS
  18. Zhang, Wei & You, Jianmin & Lin, Weiwen, 2021. "Internet plus and China industrial system's low-carbon development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
  19. Avi Goldfarb, 2024. "Pause artificial intelligence research? Understanding AI policy challenges," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(2), pages 363-377, May.
  20. Martin Fleming, 2021. "Productivity Growth and Capital Deepening in the Fourth Industrial Revolution," Working Papers 010, The Productivity Institute.
  21. Shohei Momoda & Takayuki Ogawa & Ryosuke Shimizu, 2024. "Automation and Growth Patterns in an Open Economy," KIER Working Papers 1109, Kyoto University, Institute of Economic Research.
  22. Michele Fornino & Andrea Manera, 2022. "Automation and the Future of Work: Assessing the Role of Labor Flexibility," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 282-321, July.
  23. Yining Zhang & Zhong Wu, 2021. "Intelligence and Green Total Factor Productivity Based on China’s Province-Level Manufacturing Data," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
  24. Jacobs, Arthur, 2023. "Capital-augmenting technical change in the context of untapped automation opportunities," Mathematical Social Sciences, Elsevier, vol. 123(C), pages 155-166.
  25. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2024. "The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach," Journal of Productivity Analysis, Springer, vol. 61(2), pages 157-181, April.
  26. Alexander S. Kritikos & Alexander Schiersch & Caroline Stiel, 2022. "The productivity shock in business services," Small Business Economics, Springer, vol. 59(3), pages 1273-1299, October.
  27. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
  28. 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.
  29. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
  30. repec:nbr:nberch:14019 is not listed on IDEAS
  31. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
  32. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2017. "Revisiting the risk of automation," Economics Letters, Elsevier, vol. 159(C), pages 157-160.
  33. Jérôme Dugast & Thierry Foucault, 2024. "Equilibrium Data Mining and Data Abundance," Post-Print hal-04941346, HAL.
  34. Schneider, Florian, 2024. "Do robots boost productivity? A quantitative meta-study," MPRA Paper 123392, University Library of Munich, Germany.
  35. Ahmed, M. Iqbal & Farah, Quazi Fidia, 2022. "On the macroeconomic effects of news about innovations of information technology," Journal of Macroeconomics, Elsevier, vol. 71(C).
  36. Ege Erdil & Andrei Potlogea & Tamay Besiroglu & Edu Roldan & Anson Ho & Jaime Sevilla & Matthew Barnett & Matej Vrzla & Robert Sandler, 2025. "GATE: An Integrated Assessment Model for AI Automation," Papers 2503.04941, arXiv.org, revised Mar 2025.
  37. Caleb Peppiatt, 2024. "The Future of Work: Inequality, Artificial Intelligence, and What Can Be Done About It. A Literature Review," Papers 2408.13300, arXiv.org.
  38. Almeida, Derick & Naudé, Wim & Sequeira, Tiago Neves, 2024. "Artificial Intelligence and the Discovery of New Ideas: Is an Economic Growth Explosion Imminent?," IZA Discussion Papers 16766, Institute of Labor Economics (IZA).
  39. Berg, Andrew & Buffie, Edward F. & Zanna, Luis-Felipe, 2018. "Should we fear the robot revolution? (The correct answer is yes)," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 117-148.
  40. Nikolaos Charalampidis, 2020. "The U.S. Labor Income Share And Automation Shocks," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 294-318, January.
  41. Kritikos, Alexander S. & Schiersch, Alexander & Stiel, Caroline, 2021. "The Productivity Puzzle in Business Services," IZA Discussion Papers 14610, Institute of Labor Economics (IZA).
  42. Masayuki MORIKAWA, 2016. "The Effects of Artificial Intelligence and Robotics on Business and Employment: Evidence from a survey on Japanese firms," Discussion papers 16066, Research Institute of Economy, Trade and Industry (RIETI).
  43. 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).
  44. Gomes Orlando, 2024. "Economic Growth in the Age of Ubiquitous Threats: How Global Risks are Reshaping Growth Theory," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-15, January.
  45. Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
  46. Li, Shiyuan & Hao, Miao, 2021. "Can Artificial Intelligence Reduce Regional Inequality? Evidence from China," MPRA Paper 110973, University Library of Munich, Germany.
  47. Harald Sander, 2019. "A European Policy Agenda in and for the New Global Economy," Book, University of Warsaw, Faculty of Management, edition 1, volume 1, number y:2019:v:1:ch:3:p:56-87 edited by Justin Yifu Lin & Alojzy Z. Nowak.
  48. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
  49. Hiroaki Sasaki, 2025. "The future of growth and distribution in an economy with automation technology," Journal of Economics, Springer, vol. 145(1), pages 1-30, June.
  50. Brad R. Humphreys & Scott Schuh & Corey J.M. Williams, "undated". "Learning by Doing, Productivity, and Growth: New Evidence on the Link between Micro and Macro Data," Working Papers 24-02, Department of Economics, West Virginia University.
  51. Mironov, V. & Kuznetsov, A. & Konovalova, L., 2024. "On the sectoral effects of digitalization based on new indicators by type of economic activity," Journal of the New Economic Association, New Economic Association, vol. 62(1), pages 143-179.
  52. Rostislav Kapeliushnikov, 2019. "The phantom of technological unemployment," Russian Journal of Economics, ARPHA Platform, vol. 5(1), pages 88-116, April.
  53. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
  54. Yugang He, 2024. "Artificial intelligence and religious freedom: divergent paths converging on economic expansion," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
  55. Orlando Gomes, 2023. "Economic Growth Theory in the Twenty-First Century," Annals of Economics and Finance, Society for AEF, vol. 24(1), pages 39-67, May.
  56. Nieddu, Marcello & Bertani, Filippo & Ponta, Linda, 2021. "Sustainability transition and digital trasformation: an agent-based perspective," MPRA Paper 106943, University Library of Munich, Germany.
  57. Jakub Growiec & Klaus Prettner, 2025. "The Economics of p(doom): Scenarios of Existential Risk and Economic Growth in the Age of Transformative AI," Papers 2503.07341, arXiv.org.
  58. Dirk Nicolas Wagner, 2020. "Economic patterns in a world with artificial intelligence," Evolutionary and Institutional Economics Review, Springer, vol. 17(1), pages 111-131, January.
  59. Zuzanna Helena Zarach & Aleksandra Parteka, 2023. "Productivity effects of trade in natural resources—comparison with mechanisms of technological specialisation," The World Economy, Wiley Blackwell, vol. 46(9), pages 2684-2706, September.
  60. Ferrante, Francesco & Federici, Daniela & Parisi, Valentino, 2017. "University Students and Entrepreneurship. Some insights from a population-based survey," MPRA Paper 76980, University Library of Munich, Germany.
  61. John G. Fernald, 2016. "Reassessing Longer-Run U.S. Growth: How Low?," Working Paper Series 2016-18, Federal Reserve Bank of San Francisco.
  62. Naudé, Wim, 2023. "We Already Live in a Degrowth World, and We Do Not like It," IZA Discussion Papers 16191, Institute of Labor Economics (IZA).
  63. Rod Tyers & Yixiao Zhou, 2022. "A Bamboo Curtain: The Grim Australian Consequences of China Conflict," Economics Discussion / Working Papers 22-20, The University of Western Australia, Department of Economics.
  64. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2022. "Robots, Digitalization, and Worker Voice," GLO Discussion Paper Series 1038, Global Labor Organization (GLO).
  65. Gustafsson, Johan & Lanot, Gauthier, 2024. "Public pensions in the age of automation," Umeå Economic Studies 1030, Umeå University, Department of Economics.
  66. Dreyfuss, Bnaya & Heffetz, Ori & Hoffman, Guy & Ishai, Guy & Kshirsagar, Alap, 2024. "Additive vs. subtractive earning in shared human-robot work environments," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 692-704.
  67. 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.
  68. Michael R. Douglas & Sergiy Verstyuk, 2025. "Progress in Artificial Intelligence and its Determinants," Papers 2501.17894, arXiv.org.
  69. Alonso, Cristian & Berg, Andrew & Kothari, Siddharth & Papageorgiou, Chris & Rehman, Sidra, 2022. "Will the AI revolution cause a great divergence?," Journal of Monetary Economics, Elsevier, vol. 127(C), pages 18-37.
  70. Ajay Agrawal & John McHale & Alexander Oettl, 2018. "Finding Needles in Haystacks: Artificial Intelligence and Recombinant Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 149-174, National Bureau of Economic Research, Inc.
  71. Belloc, Filippo & Burdin, Gabriel & Landini, Fabio, 2020. "Robots and Worker Voice: An Empirical Exploration," IZA Discussion Papers 13799, Institute of Labor Economics (IZA).
  72. Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
  73. 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).
  74. Diane Coyle, 2021. "The idea of productivity," Working Papers 003, The Productivity Institute.
  75. Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2016. "ELS issues in robotics and steps to consider them. Part 1: Robotics and employment. Consequences of robotics and technological change for the structure and level of employment," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 146501, February.
  76. Yasin Yilmaz, 2021. "Transition to the Digital Economy, Its Measurement and the Relationship between Digitalization and Productivity," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(1), pages 283-316, June.
  77. Cao, Yuanyuan & Chen, Shaojian & Tang, Heyan, 2025. "Robot adoption and firm export: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
  78. 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.
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