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The impact of artificial intelligence on economic growth and welfare

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  • Lu, Chia-Hui

Abstract

Focusing on the self-accumulation ability and the nonrival characteristic of artificial intelligence (AI), this paper develops a three-sector endogenous growth model and investigates the impact of the development of AI along the transitional dynamics path and the balanced growth path. The development of AI can increase economic growth along the transitional dynamics path, and can increase household short-run utility if an increase in the accumulation of AI is due to the rising productivity in the goods or AI sector, but can be detrimental to household short-run utility if an increase in the accumulation of AI is because firms use more AI to replace human labor. In addition, the development of AI is not necessarily beneficial to household welfare in the long run. The main results are unaffected when considering the case where AI can improve the accumulation of human capital, the traditional research and development model, and different kinds of physical capital.

Suggested Citation

  • Lu, Chia-Hui, 2021. "The impact of artificial intelligence on economic growth and welfare," Journal of Macroeconomics, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:jmacro:v:69:y:2021:i:c:s0164070421000458
    DOI: 10.1016/j.jmacro.2021.103342
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    Cited by:

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    2. Lei Wang & Provash Sarker & Kausar Alam & Shahneoaj Sumon, 2021. "Artificial Intelligence and Economic Growth: A Theoretical Framework," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 68(4), pages 421-443, November.
    3. Julius Tan Gonzales, 2023. "Implications of AI innovation on economic growth: a panel data study," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-37, December.
    4. Qian, Cheng & Zhu, Chun & Huang, Duen-Huang & Zhang, Shangfeng, 2023. "Examining the influence mechanism of artificial intelligence development on labor income share through numerical simulations," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

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    More about this item

    Keywords

    Artificial intelligence; Human capital; Economic growth; Welfare;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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