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Artificial intelligence as a general-purpose technology: an historical perspective

Citations

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Cited by:

  1. Tamay Besiroglu & Nicholas Emery-Xu & Neil Thompson, 2022. "Economic impacts of AI-augmented R&D," Papers 2212.08198, arXiv.org, revised Jan 2023.
  2. Benjamin Laufer & Jon Kleinberg & Hoda Heidari, 2023. "Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models," Papers 2308.04399, arXiv.org, revised Dec 2024.
  3. Alessio Ronchini & Michela Guida & Antonella Moretto & Federico Caniato, 2024. "The role of artificial intelligence in the supply chain finance innovation process," Operations Management Research, Springer, vol. 17(4), pages 1213-1243, December.
  4. Krahé, Max, 2024. "Beyond Maastricht: How to strengthen Europe's sovereignty," Papers 307092, Dezernat Zukunft - Institute for Macrofinance, Berlin.
  5. Torrent-Sellens, Joan, 2024. "Digital transition, data-and-tasks crowd-based economy, and the shared social progress: Unveiling a new political economy from a European perspective," Technology in Society, Elsevier, vol. 79(C).
  6. Kerstin Hotte & Taheya Tarannum & Vilhelm Verendel & Lauren Bennett, 2022. "Measuring artificial intelligence: a systematic assessment and implications for governance," Papers 2204.10304, arXiv.org, revised Dec 2024.
  7. Xu, Yanan & Sun, Yaowu & Zhou, Yiting, 2024. "Unpacking the intellectual structure and evolution trend of general-purpose technologies development in innovation studies," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  8. Kim Nguyen & Jonathan Hambur, 2023. "Adoption of Emerging Digital General-purpose Technologies: Determinants and Effects," RBA Research Discussion Papers rdp2023-10, Reserve Bank of Australia.
  9. 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.
  10. Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
  11. Siddharth Madhav Joshi & Anubha Shekhar Sinha, 2023. "Knowledge as practice - How Artificial Intelligence can create new knowledge?," Working papers 550, Indian Institute of Management Kozhikode.
  12. Alexander Cuntz & Carsten Fink & Hansueli Stamm, 2024. "Artificial Intelligence and Intellectual Property : An Economic Perspective," WIPO Economic Research Working Papers 77, World Intellectual Property Organization - Economics and Statistics Division.
  13. Jacques Bughin & Nicolas van Zeebroeck, 2024. "Strategic Renewal and Corporate Return of Digital Transformation," Working Papers TIMES² 2024-071, ULB -- Universite Libre de Bruxelles.
  14. Aivin V. Solatorio & Gabriel Stefanini Vicente & Holly Krambeck & Olivier Dupriez, 2024. "Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers," Papers 2410.10665, arXiv.org.
  15. Daniel Souza & Aldo Geuna & Jeff Rodríguez, 2025. "How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning," Carlo Alberto Notebooks 738 JEL Classification: O, Collegio Carlo Alberto.
  16. Bughin, Jacques, 2024. "What drives the corporate payoffs of using generative artificial intelligence?," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 658-668.
  17. Manuel Hoffmann & Sam Boysel & Frank Nagle & Sida Peng & Kevin Xu, 2024. "Generative AI and the Nature of Work," CESifo Working Paper Series 11479, CESifo.
  18. Besiroglu, Tamay & Emery-Xu, Nicholas & Thompson, Neil, 2024. "Economic impacts of AI-augmented R&D," Research Policy, Elsevier, vol. 53(7).
  19. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
  20. Daniel Souza & Aldo Geuna & Jeff Rodr'iguez, 2024. "How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning," Papers 2408.10359, arXiv.org.
  21. Alexandra Theben & Nia Plamenova & Ana Freire, 2025. "The “new currency of the future”: a review of literature on the skills needs of the workforce in times of accelerated digitalisation," Management Review Quarterly, Springer, vol. 75(1), pages 495-526, February.
  22. Agrawal, Ajay & McHale, John & Oettl, Alexander, 2024. "Artificial intelligence and scientific discovery: a model of prioritized search," Research Policy, Elsevier, vol. 53(5).
  23. 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.
  24. Jaehyuk Park, 2024. "Analyzing the direct role of governmental organizations in artificial intelligence innovation," The Journal of Technology Transfer, Springer, vol. 49(2), pages 437-465, April.
  25. Waßenhoven, Anna & Rennings, Michael & Laibach, Natalie & Bröring, Stefanie, 2023. "What constitutes a “Key Enabling Technology” for transition processes: Insights from the bioeconomy's technological landscape," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  26. Inha Oh & Jungho Kim, 2023. "Frontiers and laggards: Which firms benefit from adopting advanced digital technologies?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 753-766, March.
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