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Published Jun 30, 2022

Wein K. Solos

Joel Leonard  

Abstract

Rapid advancements in artificial intelligence (AI) will have a dramatic impact on the global economy. This paper provides a systematic review of the economic impact of AI, focusing on the promotion of AI on productivity and economic growth; the impact of AI on labor employment; and the question of whether AI will increase income inequality. On this basis, a summary of how to implement public policies to reduce the potential negative impacts of AI on the employment structure and income inequality is provided. Finally, a summary and prospective research directions are provided.

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Keywords

Artificial Intelligence, Economic Growth, Employment, Inequality of Income

References
1. Anyoha R. The history of artificial intelligence. August 28, 2017. Last access: June 3, 2022. Available at: https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/

2. Bernstein A, Raman A. The great decoupling: an interview with Erik Brynjolfsson and Andrew McAfee. Last access: June 6, 2022. Available at: https://hbr.org/2015/06/the-great-decoupling

3. Branon O. Artificial intelligence poised to double annual economic growth rate in 12 developed economies and boost labor productivity by up to 40 percent by 2035, according to new research by Accenture. Last access: June 6, 2022. Available at: https://newsroom.accenture.com/subjects/technology/artificial-intelligence-poised-to-double-annual-economic-growth-rate-in-12-developed-economies-and-boost-labor-productivity-by-up-to-40-percent-by-2035-according-to-new-research-by-accenture.htm

4. Hanson R. Economic growth given machine intelligence. J Artif Intellig Res 2001; 2001: 1-13.

5. Acemoglu D, Restrepo P. Automation and new tasks: How technology displaces and reinstates labor. NBER Working Paper No. 25684, March 2019 JEL No. J23, J24. Available at: http://www.nber.org/papers/w25684

6. Acemoglu D, Restrepo P. The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment. Am Econ Rev 2018; 108 (6):1488-1542. DOI: https://doi.org/10.1257/aer.20160696

7. Brynjolfsson E, Hitt L. Computing productivity: Firm-level evidence. The Review of Economics and Statistics. 2003; 85:793-808. DOI: https://doi.org/10.2139/ssrn.290325

8. Brynjolfsson E, Hitt L, Kim H. Strength in numbers: How does data-driven decisionmaking affect firm performance? SSRN Elect J 2011; 1. DOI: https://doi.org/10.2139/ssrn.1819486

9. Kromann L, Malchow-MMller N, Skaksen J, Sørensen A. Automation and Productivity A CrosssCountry, CrosssIndustry Comparison. SSRN Electr J 2016; DOI: https://doi.org/10.2139/ssrn.3096432

10. Graetz G, Michaels G. Robots at work. Rev Econ Stat 2018; 100. DOI: https://doi.org/10.1162/rest_a_00754

11. Reedy C. Kurzweil claims that the singularity will happen by 2045: Get ready for humanity 2.0. Last access: June 6, 2022. Available at: https://futurism.com/kurzweil-claims-that-the-singularity-will-happen-by-2045

12. Aghion P, Jones BJ, Jones CI. Chapter 9: Artificial intelligence and economic growth. Ed. Agrawal A, Gans J, Goldfarb A. The Economics of Artificial Intelligence: An Agenda. National Bureau of Economic Research. May 22, 2019. ISBN: 978-0-226-61333-8. 2019; pp.237-282.

13. Nordhaus WD. Are we approaching an economic singularity? Information technology and the future of economic growth. NBER Working Papers 21547, National Bureau of Economic Research, Inc. 2015. Last access: June 6, 2022. Available at: https://ideas.repec.org/p/nbr/nberwo/21547.html

14. Upchurch M. Robots and AI at work: the prospects for singularity. New Technol Work Empl 2018; 33:205-218. DOI: https://doi.org/10.1111/ntwe.12124

15. Boianovsky M, Trautwein HM. Schumpeter on unemployment. ANPEC – Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting]. 2008; 20. DOI: https://doi.org/10.1007/s00191-009-0154-8

16. Frey CB, Osborne MA. The future of employment: How susceptible are jobs to computerisation? September 17, 2013. Last access: June 6, 2022. Available at: https://www.oxfordmartin.ox.ac.uk/downloads/academic/The_Future_of_Employment.pdf

17. Arntz M, Gregory T, Zierahn U. The risk of automation for jobs in OECD countries: A comparative analysis. OECD Social, Employment and Migration Working Papers, No 189, OECD Publishing, Paris. 2016. DOI: https://doi.org/10.1787/5jlz9h56dvq7-en

18. Acemoglu D, Restrepo P. Robots and jobs: Evidence from US labor markets, NBER Working Paper No. 23285 March 2017 JEL No. J23, J24. 2017; Last access: June 6, 2022. Available at: https://www.nber.org/system/files/working_papers/w23285/w23285.pdf

19. Nunes A. Automation doesn’t just create or destroy jobs: It transforms them. November 02, 2021. Last access: June 6, 2022. Available at: https://hbr.org/2021/11/automation-doesnt-just-create-or-destroy-jobs-it-transforms-them

20. Graetz G. How much do robots affect jobs and productivity? World Economic Forum 2015; Last access: June 6, 2022. Available at: https://www.weforum.org/agenda/2015/03/how-much-do-robots-affect-jobs-and-productivity/

21. Dauth W, Findeisen S, Südekum J, Woessner N. German robots: The impact of industrial robots on workers (September 2017). CEPR Discussion Paper No. DP12306. Available at: https://ssrn.com/abstract=3039031

22. Thomas MK. The rise of technology and its influence on labor market outcomes. Gettysburg Econ Rev 2017; 10:3. Available at: https://cupola.gettysburg.edu/ger/vol10/iss1/3

23. Hoedemakers L. The Changing Nature of Employment: How Technological Progress and Robotics Shape the Future of Work. Master programme in Economic Growth, Innovation and Spatial Dynamics. Lund University, 2017. Available at: https://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8916714&fileOId=8916715

24. Autor DH, Katz LF, Kearney MS. The polarization of the U.S. labor market. Measuring and Interpreting Trends in Economic Inequality. AEA Paper Proceed 2006; 96(2):189-194.

25. Feng A, Graetz G. Rise of the Machines: The effects of labor-saving innovations on jobs and wages. IZA Discussion Papers 8836, Institute of Labor Economics (IZA). 2015; Last access: June 7, 2022. Available at: https://ideas.repec.org/p/iza/izadps/dp8836.html

26. Berg A, Buffie EF, Zanna LF. Robots, growth, and inequality. Finan Develop 2016; 53(3):10-13. Last access: June 7, 2022. Available at: https://www.imf.org/external/pubs/ft/fandd/2016/09/berg.htm

27. Hansen CW. Health and development: A neoclassical perspective. J Hum Cap 2013; 7(3):274-295. DOI: https://doi.org/10.1086/674076

28. DeCanio SJ. Robots and humans – complements or substitutes? J Macroecon 2016; 49:280-291. DOI: https://doi.org/10.1016/j.jmacro.2016.08.003

29. Benzell SG, Kotlikoff LJ, LaGarda G, Sachs JD. Robots are us: Some economics of human replacement. NBER Working Paper 20941. 2017. Last access: June 7, 2022. Available at: http://www.nber.org/papers/w20941

30. Brynjolfsson E, Rock D, Syverson C. Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics. NBER Working Paper 24001. 2017. Last access: June 7, 2022. Available at: http://www.nber.org/papers/w24001

31. Lankisch C, Prettner K, Prskawetz A. Robots and the skill premium: An automation-based explanation of wage inequality. Hohenheim Discussion Papers in Business, Economics and Social Sciences, No. 29-2017, Universität Hohenheim, Fakultät Wirtschafts- und Sozialwissenschaften, Stuttgart. 2017. Last access: June 7, 2022. Available at: https://nbn-resolving.de/urn:nbn:de:bsz:100-opus-14134

32. Acemoglu D, Autor D. Chapter 12: Skills, Tasks and Technologies: Implications for Employment and Earnings. Editor(s): David Card, Orley Ashenfelter. Handbook of Labor Economics. By Elsevier, 2011; 4: Part B. pp.1043-1171. ISBN 978-0-444-534-52-1. DOI: https://doi.org/10.1016/S0169-7218(11)02410-5.

33. Dauth W, Findeisen S, Südekum J, Wößner N. German robots: The impact of industrial robots on workers, IAB-Discussion Paper, No. 30/2017, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg. 2017. Last access: June 7, 2022. Available at: http://hdl.handle.net/10419/172894

34. Acemoglu D, Restrepo P. Low-skill and high-skill automation. J Hum Cap 2018; 12(2):204-232.

35. Hémous D, Olsen M. Directed technical change in labor and environmental economics. Ann Rev Econ 2021; 13:571-597. DOI: https://doi.org/10.1146/annurev-economics-092120-044327

36. Berger T, Frey C. Did the computer revolution shift the fortunes of U.S. cities? Technology shocks and the geography of new jobs. Reg Sci Urb Econ 2015; 57.DOI: https://doi.org/10.1016/j.regsciurbeco.2015.11.003

37. Alonso C, Berg A, Kothari S, Papageorgiou C, Rehman S. Will the AI revolution cause a great divergence? IMF Working Papers 2020; 184:A001. Available at: https://www.elibrary.imf.org/view/journals/001/2020/184/article-A001-en.xml

38. The World Bank. Trouble in the making? The future of manufacturing-led development. 2017. Last access: June 7, 2022. Available at: https://www.worldbank.org/en/topic/competitiveness/publication/trouble-in-the-making-the-future-of-manufacturing-led-development

39. Bourguignon F. Spreading the wealth. Last access: June 7, 2022. Available at: https://www.imf.org/en/Publications/fandd/issues/2018/03/bourguignon

40. Korinek A, Stiglitz JE. Artificial intelligence and its implications for income distribution and unemployment. Economics of Artificial Intelligence: An Agenda, Agrawal, Gans, and Goldfarb. 2019. Working paper 24174. DOI: https://doi.org/10.3386/w24174

41. Glaeser EL, Laibson D, Sacerdote B. An economic approach to social capital. Econ J 2002; 112(483):437-458. DOI: https://doi.org/10.3386/w7728

42. Thierer A, O’Sullivan AC, Russell R. Artificial intelligence and public policy. Mercatus Research, Mercatus Center at George Mason University. August 23, 2017. Last access: June 7, 2022. Available at: https://www.mercatus.org/publications/artificial-intelligence-public-policy

43. Global Business Policy Council (GBPC). Competing in an age of multi-localism. Kearney. 2018. Last access: June 7, 2022. Available at: https://www.kearney.com/web/global-business-policy-council/article/-/insights/competing-in-an-age-of-multi-localism

44. Arntz M, Gregory T, Zierahn U. The risk of automation for jobs in OECD countries: A comparative analysis. OECD Social, Employment and Migration Working Papers, 2016; No. 189, OECD Publishing, Paris. DOI: https://doi.org/10.1787/5jlz9h56dvq7-en

45. Bessen J. Toil and technology. Finan Develop 2015; 52(1):16-19.

46. Friedman M. Capitalism and freedom. Last access: June 7, 2022. Available at: https://press.uchicago.edu/ucp/books/book/chicago/C/bo68666099.html

47. Hoynes H, Rothstein J. Universal basic income in the united states and advanced countries. Ann Rev Econ 2019; 11:929-958. DOI: https://doi.org/10.1146/annurev-economics-080218-030237

48. Abbott R, Bogenschneider B. Should Robots Pay Taxes? Tax Policy in the Age of Automation, 12 HARV. L. & POL. REV. 145 (2018). SSRN Elect J 2017; DOI: https://doi.org/10.2139/ssrn.2932483

49. Guerreiro J, Rebelo S, Teles P. Should Robots be taxed? NBER Working Paper No. 23806 September 2017, Revised December 2020 JEL No. H21, O33. Last access: June 7, 2022. Available at: https://www.nber.org/system/files/working_papers/w23806/w23806.pdf

50. Gasteiger E, Prettner K. automation, stagnation, and the implications of a robot tax. Macroecon Dynam 2020; 1-32. DOI: https://doi.org/10.1017/S1365100520000139

51. Atkinson RD. The case against taxing robots. Inf Technol Innov Found 2019; 1-27. Last access: June 7, 2022. Available at: https://cdn.sanity.io/files/03hnmfyj/production/2e19721f7861f0d8dc59e8b49afbcd532b46e5b3.pdf
How to Cite
Solos, W. K., & Leonard, J. (2022). On the Impact of Artificial Intelligence on Economy. Science Insights, 41(1), 551–560. https://doi.org/10.15354/si.22.re066
Section
Review