Abstract: This paper deals with the job impact and research strategy for its economic influence by the text-to-image function of ChatGPT (TAG-AI: Text to Art Generative AI), which gives a total impact in many areas because we can implement image and design with ease normal editing works and speak including code development by using huge data and just simple text. Currently, young generations will have a big impact on their job selection because ChatGPT can do as well as humans can design it everywhere.

Therefore, education methods and resulting economic impact factors should be rearranged as new curriculums and strategies. Especially, artists, video, photographers, designers, and fashion designers will be impacted by the text-to-image function of ChatGPT. However, the government and officers do not understand well how it is serious in education. This paper provides preparation materials and education methods including ChatGPT through analysing many papers and reports, and experiences about image generations of ChatGPT.

Keywords: ChatGPT, Generative AI, Education, Job replacement, Art creation.

Cite:
Dong Hwa Kim,"Impact on Job Replacement and Economy by TAG-AI", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 1, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11101.

| DOI: 10.17148/IARJSET.2024.11101