AI-Driven Economic Transformation: Strategy Analysis of Multi-industry
- DOI
- 10.2991/978-94-6239-642-5_74How to use a DOI?
- Keywords
- Artificial Intelligence; Economic Impact; Global Competition; Enterprise Transformation; Commercial Strategy
- Abstract
This paper explores the ongoing structural changes in business from formerly manual modality to currently artificial intelligence’s modality in different industries. The research in this study showed how businesses try to adapt the growing AI environment and develop their strategy to earn more profits. Additionally, some drawbacks of using the AI to expend cooperate scale will also be shown and explained in the evaluation part as well. The various causes about why the AI is becoming dominant in many industries and countries will be listed and analyzed as follows, including the reduction in cost of labor force and the high efficiency in productivity. The paper shows several specific instances and scenarios about some major cooperations and platforms which have developed or are developing new commercial structures and tactics for facing the coming AI era in worldwide scope. At the end of the paper, some prospects will be proposed and put forward, which can illuminate the main idea of the article.
- Copyright
- © 2026 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
TY - CONF AU - Jiahang Li PY - 2026 DA - 2026/04/29 TI - AI-Driven Economic Transformation: Strategy Analysis of Multi-industry BT - Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026) PB - Atlantis Press SP - 734 EP - 742 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-642-5_74 DO - 10.2991/978-94-6239-642-5_74 ID - Li2026 ER -