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AI-Driven Economic Transformation: Strategy Analysis of Multi-industry

In: Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026)

Author

Listed:
  • Jiahang Li

    (Shanghai International High School of BANZ)

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.

Suggested Citation

  • Jiahang Li, 2026. "AI-Driven Economic Transformation: Strategy Analysis of Multi-industry," Advances in Economics, Business and Management Research, in: Xiongfeng Pan & Huaping Sun & Abdul Rauf & Md Rabiul Islam & Liew Chee Yoong (ed.), Proceedings of the 2026 11th International Conference on Financial Innovation and Economic Development (ICFIED 2026), pages 734-742, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-642-5_74
    DOI: 10.2991/978-94-6239-642-5_74
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