Abstract: This paper deals with studying strategy about impact of generative AI (Artificial Intelligence) on the factor of Korean economy growth. To study classification of impact factors Korean economy growth, we suggest dynamic equation of microeconomy and study methods on economy growth impact of generative AI.  Next step is to suggest deep learning model to dynamic equation with Korean economy data with growth related factors to classify what factor is import and dominant factors to build policy and education. Generative AI give an influence in many areas because it can be implemented with ease as just normal editing works and speak including code development by using huge data. Currently, young generations will take a big impact on their job selection because generative AI can do well as much as humans can do it everywhere. Therefore, policy and education methods should be rearranged as new paradigm. However, government and officers do not understand well how it is serious in policy and education. This paper provides method of policy and education for AI education including generative AI through analysing many papers and reports, and experience.

Keywords: ChatGPT, Generative AI, Korean economy growth, Economic growth factors, Deep learning.

Works Cited:

Dong Hwa Kim " A Study on the Impact of Generative AI on Korean Economy Growth ", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 10, no. 9, pp. 251-270, 2023. Crossref https://doi.org/10.17148/IARJSET.2023.10933

| DOI: 10.17148/IARJSET.2023.10933