EconPapers    
Economics at your fingertips  
 

Development and Prospects of AIGC’s Localisation Substitution

Liangzi Wu and Jiawei Leng ()
Additional contact information
Liangzi Wu: Southeast University, School of Architecture
Jiawei Leng: Southeast University, School of Architecture

A chapter in Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), 2025, pp 736-748 from Springer

Abstract: 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.

Keywords: AIGC; domestication; substitution (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-676-5_71

Ordering information: This item can be ordered from
http://www.springer.com/9789464636765

DOI: 10.2991/978-94-6463-676-5_71

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-27
Handle: RePEc:spr:advbcp:978-94-6463-676-5_71