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SWOT Analysis of AI Empowerment in Leading Enterprises Driving Industry Innovation

Author(s)

Qiongqiong Wei, Yang Wang, Yanhong Xu, Lei Zhou*, Yongneng Tan

Affiliation(s)

Qingdao University of Science and Technology, Qingdao, Shandong, China *Corresponding Author.

Abstract

Under the backdrop of rapid advancements in artificial intelligence (AI), the role of leading enterprises is shifting from a traditional resource-driven approach to a technology-driven and ecosystem-oriented model. Through AI empowerment, these enterprises not only enhance their core competitiveness but also foster innovation and upgrading across the entire industry through technology diffusion and value collaboration. However, in driving industry innovation, leading enterprises face multiple challenges in both internal technology management and external ecosystem collaboration. This study uses SWOT analysis as its core framework to systematically evaluate the impact of AI empowerment on leading industry innovation from four perspectives: Strengths, Weaknesses, Opportunities, and Threats. The findings reveal that AI technology plays a critical role in advancing industry standard-setting, optimizing resource allocation, and enhancing the efficiency of technology diffusion across industries, but it also faces challenges such as ethical issues in technology, international competition, and regulatory uncertainty. Based on the results of the SWOT analysis, this paper proposes an integration strategy to maintain a long-term leadership position in the industry. This research not only enriches the theoretical framework for AI's role in enabling leading enterprises to drive industry innovation but also offers practical insights for leading enterprises and decision-makers.

Keywords

Artificial Intelligence; Leading Leadership; Industry Innovation; SWOT Analysis; Strategic Optimization

References

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