Artificial Intelligence And Economic Growth

By Shigeyuki Hamori, Takahiro Kume. 2018

92 citations recorded by the source corpus.

Subfields: Economics & Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics & Operations Research

1. Tyna Eloundou
2. Pamela Mishkin
3. Sam Manning
4. Daniel Rock

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 Its Implications for Income Distribution and Unemployment (2017, unknown): “A similar point is also made in Aghion et al. (2017). 22 Berg et al.”
• Advanced Technologies Adoption and Use by U.S. Firms: Evidence from the Annual Business Survey (2020, unknown): “whether they will lead to mass joblessness and wage stagnation (Brynjolfsson and McAfee, 2014; Aghion et al. 2017).”