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Economics of Artificial Intelligence: Implications for the Future of Work
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The current wave of technological change based on advancements in artificial intelligence (AI) has created widespread fear of job loss and further rises in inequality. This paper discusses the rationale for these fears, highlighting the specific nature of AI and comparing previous waves of automation and robotization with the current advancements made possible by a widespread adoption of AI. It argues that large opportunities in terms of increases in productivity can ensue, including for developing countries, given the vastly reduced costs of capital that some applications have demonstrated and the potential for productivity increases, especially among the low skilled. At the same time, risks in the form of further increases in inequality need to be addressed if the benefits from AI-based technological progress are to be broadly shared. For this, skills policies are necessary but not sufficient. In addition, new forms of regulating the digital economy are called for that prevent further rises in market concentration, ensure proper data protection and privacy, and help share the benefits of productivity growth through the combination of profit sharing, (digital) capital taxation, and a reduction in working time. The paper calls for a moderately optimistic outlook on the opportunities and risks from AI, provided that policymakers and social partners take the particular characteristics of these new technologies into account.
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“In an important review of the literature, which combines a historical approach with a task-focused one, Ernst et al. (2019) conclude that AI in fact is likely to play out in ways different from previous waves, by increasing productivity and potentially creating more inclusive growth, provided correct educational measures are taken in countries that are part of globalised labour chains.”
From Artificial intelligence and work: a critical review of recent research from the social sciences (2024) · cites this paper as Ernst et al. 2019
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“In low- and middle-income countries (LMICs), the risk of job loss due to AI is even higher than in advanced economies, with risks being 69 % in India, 72 % in Thailand, 77 % in China, and 85 % in Ethiopia (Ernst et al., 2019).”
From Impacts of generative artificial intelligence on the future of labor market: a systematic review (2025) · cites this paper as Ernst et al., 2019
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Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290 · cited 1×
“Turing (1950) later argued that there might be a time when humans would no longer be able to distinguish between interacting with another human or a digital machine, passing the so-called “Turing test”.”
The future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727
The Theory of Industrial Organization
Jean Tirole, Z. (1988) · MIT Press Books · Cited by 8,651
The Skill Content of Recent Technological Change: An Empirical Exploration
Autor, D. H., Levy, F., & Murnane, R. J. (2003) · The Quarterly Journal of Economics · doi:10.1162/003355303322552801 · Cited by 6,205
Computing Machinery and Intelligence (1950)
Turing, A. M. (2004) · doi:10.1093/oso/9780198250791.003.0017 · Cited by 6,120
Braverman, H. (1974) · Monthly Review · doi:10.14452/mr-026-03-1974-07_1 · Cited by 5,505
Skills, Tasks and Technologies: Implications for Employment and Earnings
Acemoglu, D., & Autor, D. (2011) · Handbook of Labor Economics · doi:10.1016/s0169-7218(11)02410-5 · Cited by 3,799
Hershauer, J. C., & Simon, H. A. (1978) · Academy of Management Review · doi:10.2307/257591 · Cited by 3,209
Labor and Monopoly Capital: The Degradation of Work in the Twentieth Century.
Tomich, D., & Braverman, H. (1976) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063071 · Cited by 2,999
The Skill Content of Recent Technological Change: An Empirical Exploration
Autor, D., Levy, F. S., & Murnane, R. J. (2001) · National Bureau of Economic Research · doi:10.3386/w8337 · Cited by 2,633
Research works printed but not linked: 6
- Agrawal, A. K.; (2018b): Economic Policy for Artificial Intelligence. NBER Working Paper No. 24690. Cambridge, MA: National Bureau of Economic Research.
- Bessen, J.; (2015b): Learning by Doing: The Real Connection Between Innovation, Wages, and Wealth. New Haven: Yale University Press.
- Culey, S. (2012): Transformers: Supply Chain 3.0 and how Automation will Transform the Rules of the Global Supply Chain. The European Business Review (Online).
- Ernst, E.; Chentouf, L. (2014): Work Organisation and Incentives. Global and Local Economies Review 18(1), 103-135.
- Logg, J. M.; J. A. Minson; D. A. Moore (2018): Algorithm Appreciation: People Prefer Algorithmic to Human Judgment. Harvard Business School Working Paper No. 17-086. Cambridge, MA: Harvard University.
- UNCTAD. (2016): Robots and Industrialization in Developing Countries. Policy Brief No. 50. Geneva: United Nations Conference on Trade and Development.
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Hussain, B., Du, Q., Sun, B., & Han, Z. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.2974520 · Cited by 247
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Ivanov, S. H., Webster, C., Stoilova, E., & Slobodskoy, D. (2020) · Tourism Economics · doi:10.1177/1354816620946541 · Cited by 148
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Bickley, S. J., Macintyre, A., & Torgler, B. (2024) · Journal of Economic Surveys · doi:10.1111/joes.12611 · Cited by 171
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Mutascu, M. I. (2021) · Economic Analysis and Policy · doi:10.1016/j.eap.2021.01.012 · Cited by 95
Owolabi, K. A., Adenekan, F. N., Adeleke, O. A., Ajayi, T. B., & Adesina, A. O. (2021) · Journal of Interlibrary Loan Document Delivery & Electronic Reserve · doi:10.1080/1072303x.2021.1918602 · Cited by 108
x=(tourism_work) y=(sdg8) while y=true: automate(x)
Tuomi, A., Tussyadiah, I. P., Ling, E. C., Miller, G. A., & Lee, G. (2020) · Annals of Tourism Research · doi:10.1016/j.annals.2020.102978 · Cited by 99
Is automation stealing manufacturing jobs? Evidence from South Africa’s apparel industry
Parschau, C., & Hauge, J. (2020) · Geoforum · doi:10.1016/j.geoforum.2020.07.002 · Cited by 82
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Boute, R. N., & Udenio, M. (2022) · Springer eBooks · doi:10.1007/978-3-030-95764-3_3 · Cited by 79
Guliyev, H. (2023) · Research in Globalization · doi:10.1016/j.resglo.2023.100140 · Cited by 99
Nor, A. K. M., Pedapati, S. R., Muhammad, M. B., & Leiva, V. (2021) · Sensors · doi:10.3390/s21238020 · Cited by 86
Diminished diversity-of-thought in a standard large language model
Park, P. S., Schoenegger, P., & Zhu, C. (2024) · Behavior Research Methods · doi:10.3758/s13428-023-02307-x · Cited by 83
Artificial intelligence and the future of work – lessons from the sociology of expectations
Vicsek, L. (2020) · International Journal of Sociology and Social Policy · doi:10.1108/ijssp-05-2020-0174 · Cited by 81
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Duch-Brown, N., Gomez-Herrera, E., Mueller-Langer, F., & Tolan, S. (2022) · Research Policy · doi:10.1016/j.respol.2021.104446 · Cited by 53
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Fukumura, Y. E., Gray, J. M., Lucas, G., Becerik-Gerber, B., & Roll, S. C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041690 · Cited by 76
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Gmyrek, P., Berg, J., & Bescond, D. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4584219 · Cited by 66
Omotayo, A. O., Omotoso, A. B., Daud, S. A., Omotayo, O. P., & Adeniyi, B. A. (2022) · Agriculture · doi:10.3390/agriculture12030363 · Cited by 54
Jejeniwa, T. O., Mhlongo, N. Z., & Jejeniwa, T. O. (2024) · International Journal of Advanced Economics · doi:10.51594/ijae.v6i4.1073 · Cited by 53
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Soomro, S., Fan, M., Sohu, J. M., Soomro, S., & Shaikh, S. N. (2024) · Kybernetes · doi:10.1108/k-07-2024-1889 · Cited by 72
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Metadata
- Authors
- Ernst, E., Merola, R., & Samaan, D.
- Affiliations
- Research Department, International Labour Organisation , Route des Morillons 4, 1211 Geneva , Switzerland
- International Labour Organization (CH)
- ORCID
- Samaan, Daniel
- Venue
- IZA Journal of Labor Policy
- Publisher
- Walter de Gruyter GmbH
- Published
- 2019-06-01
- Volume
- 9
- Issue
- 1
- ISSN
- 2193-9004 (ISSN-L)
- OpenAlex
- W2969615692
- Cited by
- 405
- References
- 77
- Citations by year
- 2026: 39 · 2025: 84 · 2024: 96 · 2023: 61 · 2022: 52 · 2021: 36 · 2020: 30 · 2019: 7
- FWCI
- 39.01
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- IZA Journal of Labor Policy (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Econstor (Econstor) (submittedVersion, cc-by)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence, future of work, job displacement, inequality, productivity growth, automation, robotization, low-skilled workers, skills policy, digital economy regulation, market concentration, data protection, profit sharing, working time reduction, developing countries, technological change
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