Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)

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Development and Prospects of AIGC’s Localisation Substitution

Authors
Liangzi Wu1, 2, 3, Jiawei Leng1, *
1School of Architecture, Southeast University, Nanjing, China
2Senior Architect, Glodon Group, Beijing, China
3Design Research and Development, Gemdale Group, Shenzhen, China
*Corresponding author. Email: jw_leng@seu.edu.cn
Corresponding Author
Jiawei Leng
Available Online 15 April 2025.
DOI
10.2991/978-94-6463-676-5_71How to use a DOI?
Keywords
AIGC; domestication; substitution
Abstract

AIGC (Artificial Intelligence Generated Content) refers to the generation of text, images, sound and other forms of content based on input data such as text or images through deep learning, computer vision and other technologies, which is rich in content, low cost of creation and high efficiency. In the era of digital economy, AIGC is an emerging productivity tool that is widely used to automatically generate text, images and so on. Because AIGC can generate high-quality content, it has become a direction that has attracted much attention in the field of AI in recent years. China started late in the field of AI, but has developed very quickly and has become the second largest AI market in the world. At present, China has formed a relatively complete industrial chain system covering the basic layer, technology layer and application layer, and a number of AI unicorn enterprises represented by Shangtang Technology have also appeared. However, at present, China’s core technology in the field of AIGC is still restricted by others, which needs to be paid attention to. In this paper, we will analyse the development history and current situation of AIGC, the development of domestic AIGC industry, the future development trend of AIGC and the direction of domestication substitution for related personnel’s reference.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
15 April 2025
ISBN
978-94-6463-676-5
ISSN
2352-5428
DOI
10.2991/978-94-6463-676-5_71How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Liangzi Wu
AU  - Jiawei Leng
PY  - 2025
DA  - 2025/04/15
TI  - Development and Prospects of AIGC’s Localisation Substitution
BT  - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)
PB  - Atlantis Press
SP  - 736
EP  - 748
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-676-5_71
DO  - 10.2991/978-94-6463-676-5_71
ID  - Wu2025
ER  -