NBER WORKING PAPER SERIES ARTIFICIAL INTELLIGENCE AND ECONOMIC GROWTH
By Benjamin F. Jones, Charles I. Jones. 2017
Subfields: Economics & Operations Research
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In Economics & Operations Research
- Daniel Rock
- Tyna Eloundou
- Pamela Mishkin
- Sam Manning
- David B. Audretsch
- T. Babina
- S. Carter
- Kun Yang
Citations in the corpus
- GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models (2023, background): “The connection between productivity growth in the past decade and overall LLM exposure appears weak, suggesting a potential optimistic case that future productivity gains from LLMs may not exacerbate possible cost disease effects (Baumol, 2012; Aghion et al., 2018).”
- Artificial Intelligence and Entrepreneurship: Implications for Venture Creation in the Fourth Industrial Revolution (2020, background): “…or disappear, the structure of many entrepreneurial organizations will necessarily reform around the AI system and new tasks and job roles will service this new engine of the firm, leading to higher paid jobs that are increasingly outsourced to skilled self-employed agents ( Aghion et al., 2017).”
- Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform (2018, background): “While so far much of the work on the economic effects of AI has been theoretical (Acemoglu and Restrepo (2018), Aghion et al. (2017), Korinek and Stiglitz (2017), Sachs and Kotlikoff (2012)), and notably Goldfarb and Trefler (2018) in the case of global trade, the introduction of improved MT on eBay…”
- Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel (2021, background): “The impact of AI has been heatedly discussed in recent years from different perspectives, including the points of view of economic growth (productivity) (Bard, 1986; Dirican, 2015; Purdy and Daugherty, 2017; Aghion et al., 2017; Brynjolfsson et al., 2017; Graetz and Michaels, 2018; Kromann et al., 2”
- The Windfall Clause: Distributing the Benefits of AI for the Common Good (2019, background): “One general consideration that supports these concerns is the strong consensus among AI researchers that most, if not all, human work can in theory be automated [1, 26, 46].”
- Artificial intelligence and big data in entrepreneurship: a new era has begun (2019, background): “Other AI programs are obviously able to help creating pieces of “real” art (Cohen 2018), and economists stress the great potential of AI for discovery and inventions (Aghion et al. 2017; Cockburn et al. 2018).”
- Artificial intelligence, firm growth, and product innovation (2024, background): “As such, AI can be a general purpose technology that generates growth through increased productivity and product innovation (Aghion et al., 2017; Cockburn et al., 2018).”