PL EN
GNPJE Special Issue on Economic Impacts of Generative AI
 
 
More details
Hide details
1
SGH Warsaw School of Economics, Poland
 
 
Publication date: 2025-09-30
 
 
GNPJE 2025;(GNPJE Special Issue on Economic Impacts of Generative AI 3):1-5
 
KEYWORDS
JEL CLASSIFICATION CODES
ABSTRACT
This Special Issue of GNPJE features three empirical studies examining the economic impacts of contemporary generative artificial intelligence (GenAI) tools, such as chatbots and copilots, from a global perspective. Gmyrek et al. [2025] quantify the potential effects of GenAI on global employment. Venturini [2025] estimates the impact of GenAI innovation on economic growth across a panel of countries. Parteka [2025] investigates automation technologies complementary to GenAI through the lens of international trade.
REFERENCES (29)
1.
Acemoglu D. [2025], The Simple Macroeconomics of AI, Economic Policy, 40: 13–58.
 
2.
Bloom N., Jones C. I., Van Reenen J., Webb M. [2020], Are Ideas Getting Harder to Find?, American Economic Review, 110 (4): 1104–1144.
 
3.
Branwen G. [2022], The Scaling Hypothesis, https://gwern.net/scaling-hypo....
 
4.
Brynjolfsson E., Rock D., Syverson C. [2019], Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics, in: Agrawal A., Gans J., Goldfarb A. (eds), The Economics of Artificial Intelligence: An Agenda: 23–57, University of Chicago Press, Chicago.
 
5.
Davidson T. [2021], Could Advanced AI Drive Explosive Economic Growth?, Open Philanthropy Report.
 
6.
Davidson T. [2023], What a Compute-Centric Framework Says About Takeoff Speeds, Open Philanthropy Report.
 
7.
Filippucci F., Gal P., Schief M. [2024], Miracle or Myth? Assessing the Macroeconomic Productivity Gains from Artificial Intelligence, OECD Artificial Intelligence Papers No. 29, OECD Publishing, Paris.
 
8.
Giddens A. [1995], A Contemporary Critique of Historical Materialism, Stanford University Press, Stanford.
 
9.
Gmyrek P., Berg J., Bescond D. [2025], Generative AI and Jobs: An Analysis of Potential Effects on Global Employment, Gospodarka Narodowa: The Polish Journal of Economics, 323 (3): 6–30.
 
10.
Grace K. [2013], Algorithmic Progress in Six Domains, Machine Intelligence Research Institute Technical Report 2013–3, Berkeley.
 
11.
Grace K., Stewart H., Sandkuehler J. F., Thomas S., Weinstein-Raun B., Brauner J. [2024], Thousands of AI Authors on the Future of AI. arXiv: 2401.02843.
 
12.
Growiec J. [2022], Automation, Partial and Full, Macroeconomic Dynamics, 26: 1731–1755.
 
13.
Growiec J. [2023], Industry 4.0? Framing the Digital Revolution and Its Long-Run Growth Consequences, Gospodarka Narodowa. The Polish Journal of Economics, 316 (4): 1–16.
 
14.
Growiec J., Prettner K. [2025], The Economics of p (doom): Scenarios of Existential Risk and Economic Growth in the Age of Transformative AI. arXiv: 2503.07341.
 
15.
Hernandez D., Brown T. B. [2020], Measuring the Algorithmic Efficiency of Neural Networks. arXiv: 2005.04305.
 
16.
Hilbert M., López P. [2011], The World’s Technological Capacity to Store, Communicate, and Compute Information, Science, 332: 60–65.
 
17.
Ho A., Besiroglu T., Erdil E., Owen D., Rahman R., Guo Z. C., Atkinson D., Thompson N., Sevilla J. [2024], Algorithmic Progress in Language Models. arXiv: 2403.05812.
 
18.
Jones C. I. [2024], The AI Dilemma: Growth Versus Existential Risk, American Economic Review: Insights, 6: 575–590.
 
19.
Kokotajlo D., Alexander S., Larsen T., Lifland E., Dean R. [2025], AI 2027, https://ai-2027.com/.
 
20.
Korinek A., Suh D. [2024], Scenarios for the Transition to AGI, arXiv:2403.12107.
 
21.
Kurzweil R. [2005], The Singularity is Near, Penguin, New York.
 
22.
Nordhaus W. D. [2021], Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth, American Economic Journal: Macroeconomics, 13: 299–332.
 
23.
OECD [2025], A Range of Possible Worlds: Global Scenarios to 2100, Forthcoming, OECD Publishing, Paris.
 
24.
Parteka A. [2025], Trade Specialisation in Products Embedding Automation Technologies: Cross-Country Evidence and the Case of Poland, Gospodarka Narodowa: The Polish Journal of Economics, 323 (3): 47–67.
 
25.
Roodman D. [2020], On the Probability Distribution of Long-Term Changes in the Growth Rate of the Global Economy: An Outside View, Open Philanthropy Report.
 
26.
Sevilla J., Heim L., Ho A., Besiroglu T., Hobbhahn M., Villalobos P. [2022], Compute Trends Across Three Eras of Machine Learning, arXiv: 2202.05924.
 
27.
Sharma S., Kumar V., Jakhar B. [2024], The End of History? Envisioning the Economy at Technological Singularity, Gospodarka Narodowa: The Polish Journal of Economics, 318 (2): 53–63.
 
28.
Tegmark M. [2017], Life 3.0: Being Human in the Age of Artificial Intelligence, Knopf, New York.
 
29.
Venturini F. [2025], Generative AI and Income Growth: Early Evidence on Global Data, Gospodarka Narodowa: The Polish Journal of Economics, 323 (3): 31–46.
 
eISSN:2300-5238
Journals System - logo
Scroll to top