ARTIFICIAL INTELLIGENCE: INVESTMENT PATTERNS AND ECONOMIC IMPLICATIONS IN LEADING COUNTRIES

Jelena Dimovski, Vladimir Radivojević, Diana Kopeva

DOI Number
https://doi.org/10.22190/TEME241111023D
First page
341
Last page
355

Abstract


Artificial intelligence (AI) has become one of the paramount driving forces, structurally influencing contemporary economy. Its notable potential is reshaping investment landscapes and economic growth in leading countries worldwide, and boosting their economic expansion. AI significantly contributes to the improvement of business efficiency, the decision-making process, and the creation of high quality and personalised products and services, thus contributing to consumer demand uplift and generating higher income. Global competition to obtain AI-driven benefits is strong, and leading countries dominate this competitive battle. Although all countries experience benefits from AI, economies at the forefront of AI investment, including the United States, China, and Europe, are leveraging AI to drive advancements in key industries. As an engine of economic prosperity and societal wellbeing, the economic impact of investments in AI is discussed in the paper, with a particular focus on generative AI, as well as AI’s impact on productivity, economic growth, innovations, workforce, labour market, etc. Given the certain concerns related to the potential disruptive effects on the economy and society reflected in the creation of monopoly and super firms, the growing gap in countries’ development, labour market volatility, etc., carefully designed public policy would encourage advantages in AI implementation and diffusion, and keep negative effects under control. The paper aims to assess and discuss investments in AI due to its unique capacity to accelerate innovations and productivity, and its multidimensional implications on economic performance, along with the accompanying potential challenges and risks.


Keywords

artificial intelligence, leading countries, investment, innovations, economic growth.

Full Text:

PDF

References


Acemoglu, D., & Restrepo, P. (2018). The race between man and machine: Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488-1542. https://doi.org/10.1257/aer.20160696

Deloitte (2023). Impact and opportunities: Canada’s AI ecosystem – 2023. https://www2.deloitte.com/content/dam/Deloitte/ca/Documents/press-releases/ca-national-ai-report-2023-aoda-en.pdf

Dell’Acqua, F. et al. (2023). Navigating the jagged technological frontier: Field experimental evidence of the effects of AI on knowledge worker productivity and quality. Harvard Business School Technology & Operations Mgt. Unit Working Paper, 24-013. https://doi.org/10.2139/ssrn.4573321

French Government (2024). AI: Our ambition for France. Paris: French Artificial Intelligence Commission. https://www.info.gouv.fr/upload/media/content/0001/10/54eefd62c084d66c373a8db1eefaeed88a21b010.pdf

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. Cambridge: MIT Press.

Gonzales, T.J. (2023). Implications of AI innovation on economic growth: a panel data study, Journal of Economic Structures, 12:13, https://doi.org/10.1186/s40008-023-00307-w

IDC (2024). Worldwide Spending on Artificial Intelligence Forecast to Reach $632 Billion in 2028, according to a New IDC Spending Guide. https://www.idc.com/getdoc.jsp?containerId=prUS52530724

Javaid, M., Haleem, A., & Singh, R.P. (2023). A study on ChatGPT for Industry 4.0: Background, potentials, challenges, and eventualities. Journal of Economy and Technology, 1, 127-143. https://doi.org/10.1016/j.ject.2023.08.001

Johansson, A. (2022). China’s AI ecosystem. Stockholm: Center for Asian Studies – Stockholm School of Economics. https://www.hhs.se/contentassets/bc962221471a415ba8ac01fbbf160277/chinas-ai-ecosystem-nov-2022.pdf

Krstić, B., Radivojević, V., & Stanišić, T. (2016a). Measuring and analysis of competition intensity in the sugar market in Serbia. Ekonomika poljoprivrede. 63(2), 389-406. https://doi.org/10.5937/ekoPolj1602389K

Krstić, B., Radivojević, V., & Stanišić, T. (2016b). Measuring market concentration in mobile telecommunications market in Serbia. Facta Universitatis - Series: Economics and Organization, 13(3), 247-260. https://casopisi.junis.ni.ac.rs/index.php/FUEconOrg/article/view/1916/1372

Krstić, B., Stanišić, T., & Radivojević, V. (2016c). The impact of innovativeness’ factors on the EU countries competitiveness. Industrija, 44(2), 101-116. https://doi.org/10.5937/industrija44-10674

Krstić, B., Stanojević, J. & Stanišić, T. (2016). Innovations as a determinant of competitiveness of Serbia: A comparative analysis with Western Balkan countries and the European Union. Teme, XL(3), 1035-1050. https://teme2.junis.ni.ac.rs/index.php/TEME/article/view/252/160

Lee, C.M. (2024). The Future of K-Power: What South Korea Must Do After Peaking. Washington: Carnegie Endowment for International Peace. https://carnegie-production-assets.s3.amazonaws.com/static/files/Chung%20Min%20Lee_Future%20of%20K-Power-2.pdf

Lv, Z. (2023). Generative artificial intelligence in the metaverse era. Cognitive Robotics, 3, 208-217. https://doi.org/10.1016/j.cogr.2023.06.001

McKinsey (2023). The economic potential of generative AI: The next productivity frontier. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier

McKinsey (2024). The state of AI in early 2024: Gen AI adoption spikes and starts to generate value. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai

McKinsey Global Institute (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy, https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy#/

Nchake MA, Shuaibu M (2022). Investment in ICT infrastructure and inclusive Growth in Africa. Scientific African, 17:1–16., https:// doi.org/10.1016/j.sciaf.2022.e01293

OECD.AI (2024). Top generative AI start-ups per country and industry. Live data. https://oecd.ai/en/data?selectedArea=investments-in-ai-and-data&selectedVisualization=top-generative-ai-start-ups-per-country-and-industry

PwC (2024). 2024 AI Business Predictions. https://www.pwc.com/us/en/tech-effect/ai-analytics/ai-predictions.html

PwC (2020). Sizing the Prize. What’s the Real Value of AI for Your Business and How Can You Capitalise? https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf

PwC (2018). The macroeconomic impact of artificial intelligence, https://www.pwc.co.uk/economic-services/assets/macroeconomic-impact-of-ai-technical-report-feb-18.pdf

Radivojević, V., Kahrović, E., & Krstić, M. (2019). Population skills as an indicator of European countries competitiveness in the modern economy. Vojno delo, 71(5), 105-116. https://doi.org/10.5937/vojdelo1905105R

Rashid, A.B., & Kausik, A.K. (2024). AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications. Hybrid Advances, 7, 100277. https://doi.org/10.1016/j.hybadv.2024.100277

Scheer, S. (2019). The state of artificial intelligence in Israel. Ministry of Foreign Affairs of Denmark – Innovation Centre Denmark. https://israel.um.dk/en/-/media/country-sites/israel-en/innovation-centre/state-of-ai-in-israel-2019-icdk-outlook.ashx

Stanford University (2024). AI Index Report 2024. Retrieved from: https://aiindex.stanford.edu/wp-content/uploads/2024/04/HAI_2024_AI-Index-Report.pdf

Statista (2024). Artificial intelligence (AI) market size worldwide from 2020 to 2030. https://www.statista.com/forecasts/1474143/global-ai-market-size

Trabelsi, M.A. (2024). The impact of artificial intelligence on economic development, Journal of Electronic Business & Digital Economics, Vol. 3 No. 2, pp. 142-155, https://doi.org/10.1108/JEBDE-10-2023-0022

Todorović, M., & Kalinović, M. (2022). The contribution of development factors to economic growth on various gdp levels – the middle-income trap. Teme, Volume 46, No 4, pp. 1029-1049, https://doi.org/10.22190/TEME220520054T

UK Government (2021). National AI strategy. London: Office for Artificial Intelligence. https://assets.publishing.service.gov.uk/media/614db4d1e90e077a2cbdf3c4/National_AI_Strategy_-_PDF_version.pdf

Vinnova (2018). Artificial Intelligence in Swedish Business and Society – Analysis of Development and Potential. Final report. Ref. no. 2017-05616. Stockholm: Vinnova – Sweden’s Innovation Agency. https://www.vinnova.se/contentassets/72ddc02d541141258d10d60a752677df/vr-18_12.pdf

Wang L, Zhan J, Shi W, Liang Yi (2011). In cloud, can scientific communities benefit from the economies of scale? IEEE Transactions on Parallel and Distributed Systems, 23(2):296–303. https://doi.org/10.1109/TPDS.2011.144

Zeira J (1998). Workers, machines, and economic growth. The Quarterly Journal of Economics, 113(4):1091–1117, https://doi.org/10.1162/00335 5398555847




DOI: https://doi.org/10.22190/TEME241111023D

Refbacks

  • There are currently no refbacks.


© University of Niš, Serbia
Creative Commons licence CC BY-NC-ND
Print ISSN: 0353-7919
Online ISSN: 1820-7804