Open Access

Economics of Artificial Intelligence: Implications for the Future of Work

Ekkehardt Ernst

Ekkehardt Ernst

Research Department, International Labour OrganisationGeneva, Switzerland
Search for this author on
Sciendo|Google Scholar
Ernst, Ekkehardt
, 
Rossana Merola

Rossana Merola

Research Department, International Labour OrganisationGeneva, Switzerland
Search for this author on
Sciendo|Google Scholar
Merola, Rossana
 and 
Daniel Samaan

Daniel Samaan

Research Department, International Labour OrganisationGeneva, Switzerland
Search for this author on
Sciendo|Google Scholar
Samaan, Daniel
  
Aug 14, 2019
Economics of Artificial Intelligence: Implications for the Future of Work's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Published Online: Aug 14, 2019
DOI: https://doi.org/10.2478/izajolp-2019-0004
Keywords
© 2019 Ekkehardt Ernst, Rossana Merola and Daniel Samaan, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 Public License.

Figure 1

Number of AI patents granted by countrySource: Fujii and Managi, 2018. AI, artificial intelligence; EPO, European Patent Office; JPO, Japan Patent Office; PCT, Patent Cooperation Treaty; SIPO, State Intellectual Property Office of the People’s Republic of China; USPTO, United States Patent and Trademark Office.
Number of AI patents granted by countrySource: Fujii and Managi, 2018. AI, artificial intelligence; EPO, European Patent Office; JPO, Japan Patent Office; PCT, Patent Cooperation Treaty; SIPO, State Intellectual Property Office of the People’s Republic of China; USPTO, United States Patent and Trademark Office.

Figure 2

Hourly productivity growth rates in Group of Seven (G7) countries, decade averagesSource: Penn World Tables version 9, available at: https://www.rug.nl/ggdc/productivity/pwt/; authors’ calculations.
Hourly productivity growth rates in Group of Seven (G7) countries, decade averagesSource: Penn World Tables version 9, available at: https://www.rug.nl/ggdc/productivity/pwt/; authors’ calculations.

Figure 3

Job polarization around the world, 2000–2021Note: Change in employment shares, in percentage points; forecasts after 2016.Source: ILO, Trends Econometric Models, Nov. 2016.
Job polarization around the world, 2000–2021Note: Change in employment shares, in percentage points; forecasts after 2016.Source: ILO, Trends Econometric Models, Nov. 2016.

Figure 4

Predicted shifts in skill sets, United States vs. Western Europe, 2016–2030Source: MGI, 2018b.
Predicted shifts in skill sets, United States vs. Western Europe, 2016–2030Source: MGI, 2018b.
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Business and Economics, Political Economics, Microeconomics, Macroecomics, Economic Policy, Mathematics and Statistics for Economists, Econometrics
Journal RSS Feed