| Issue |
SHS Web Conf.
Volume 208, 2024
2024 International Workshop on Digital Strategic Management (DSM 2024)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 7 | |
| Section | Chapter 1: Digital Transformation Research | |
| DOI | https://doi.org/10.1051/shsconf/202420801017 | |
| Published online | 12 December 2024 | |
Artificial Intelligence and the Transformation of China’s Industrial Structure: Opportunities, Challenges, and Implications
King’s College London, WC2R 2LS, England, United Kingdom
* Corresponding author: k21134893@kcl.ac.uk
In the context of rapid global economic development, artificial intelligence (AI) is significantly influencing the industrial structure of nations worldwide, particularly in China, the world’s second-largest economy. This research aims to explore the impact of AI on China’s industrial structure, focusing on how AI contributes to industrial upgrading, economic transformation, and the challenges it presents. The study also analyses the current issues in China’s industrial structure, such as imbalances and energy constraints, and examines how AI can optimize these areas. Furthermore, it investigates the limitations of AI applications, including regional disparities and talent shortages. The findings suggest that while AI offers substantial potential for enhancing China’s industrial structure, its effectiveness is hindered by uneven technological diffusion and a lack of high-end talent. The study concludes by emphasizing the need for targeted policies to harness AI’s potential fully and mitigate its challenges, ensuring sustainable and balanced industrial development in China.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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