Technology, AI and Productivity
DOI:
https://doi.org/10.17821/srels/2024/v61i5/171586Keywords:
Artificial Intelligence, Generative AI, Productivity, WorkforceAbstract
Information Technology (IT) has been identified as a driver of productivity. Despite tremendous advances in IT and its extensive adoption, productivity gains in developed economies have fluctuated. One area of IT that has received much attention recently is Artificial Intelligence (AI). Artificial intelligence as a recognized discipline is almost seventy years old and we are now at the point where forty per cent of the global workforce is exposed to artificial intelligence. Much of this artificial intelligence is not meant to perform cognitive tasks, rather it is meant to augment the task of the user. We now stand on the edge of possibly huge increases in productivity due to the impact of Generative AI. Generative AI’s capabilities are engineered to perform cognitive tasks. As such, Generative AI is meant to complement the user. While much has been written about the anticipated growth in productivity due to Generative AI, not as much has been written about the potential impact on global employment. This paper reviews the relationship between IT and productivity and the potential impact of Generative AI on employment. While Generative AI has the potential to complement knowledge workers with higher education and skills, there is a danger of displacing some workers without such education and skills.
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Alderucci, D., Branstetter, L., Hovy, E., Runge, A., & Zolas, N. (2019). Quantifying the impact of AI on productivity and labor demand: Evidence from U.S. Census Microdata.
American Economic Association. https://www.aeaweb.org/ conference/2020/preliminary/paper/Tz2HdRna Boussour, L. (2024). The productivity impact of GenAI. EY Parthenon. 22 January 2024. https://www.ey.com/en_us/insights/ai/productivity-potential-gen-ai
Cazzaniga, M., Jaumotte, F., Li, L., Melina, G., Panton, A. J., Pizzinelli, C., … Tavares, M. M. (2024). Gen-AI: Artificial intelligence and the future of work. International Monetary Fund. https://doi.org/10.5089/9798400262548.006
Chui, M., Hazan, E., Roberts, R., Singla, A., Smaje, K., Sukharevsky, A., … Zemmel, R. (2023). The economic potential of generative AI. McKinsey and Company.
Chumir Foundation for Ethics in Leadership and Brookings Institution. (2019). Productive equity: The twin challenges of reviving productivity and reducing inequality. https://www.brookings.edu/wp-content/uploads/2019/05/productive_ equity_190522.pdf
Goldman Sachs. (2023). Generative AI could raise global GDP by 7%. https://www.goldmansachs.com/insights/articles/generative-ai-could-raise-global-gdp-by-7-percent
Keary, T. (2024). Top 10 countries leading in AI research and technology in 2024. Techopedia. https://www.techopedia.com/top-10-countries-leading-in-ai-research-technology
McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (1956). A proposal for the Dartmouth Summer Research Project on Artificial Intelligence. Dartmouth. https://home.dartmouth.edu/about/artificial-intelligence-ai-coineddartmouth
Microsoft. (2019). Extending the value of AI to knowledge workers. A Forrester Consulting Thought Leadership Paper.
Nielsen, J. (2023). AI Improves employee productivity by 66%. Nielsen Norman Group.
Pardue, L. (2024). In brief: The recent rise in US labor productivity. Aspen Economic Strategy Group.
Wikipedia. (2024a). Productivity paradox. https://en.wikipedia.org/wiki/Productivity_paradox. Accessed 19 September 2024.
Wikipedia. (2024b). Turing award. https://en.wikipedia.org/ wiki/Turing_Award.
Williams, D. (2022). Canada’s productivity performance over the past 20 years. Business Council of British Columbia.
Yan, L., Boy, H. C., Khurana, S., & Sinha, A. (2023). Artificial intelligence: Revolutionary potential and huge uncertainties. Digital Progress and Trends Report 2023 (pp. 85-106). World Bank Group. https://openknowledge.worldbank.org/server/api/core/bitstreams/9040dbbb-8594-4083-a399-24592313f907/content
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