Digital Economy and Industrial Transformation: The Implications of AI in Manufacturing and Services

Abstract

In the context of the digital economy, artificial intelligence (AI) is increasingly being integrated into the decision-making process, providing powerful support for enterprises. Through data analysis and machine learning technologies, AI can process large amounts of information, providing a foundation for predictive analysis. This ability not only improves the accuracy of decisions, but also enables enterprises to respond quickly to market changes. Furthermore, AI can also automate various operational tasks, such as inventory management, customer service, and production scheduling, significantly improving work efficiency. With the introduction of AI, the internal structure of organizations has undergone profound changes. This study uses a case study approach to conduct a thorough discussion of Xiaomi as a representative example. Xiaomi has widely applied AI technology in product design, marketing strategies, and after-sales services, and its successful experience provides valuable lessons for other enterprises. At the same time, this thesis will examine the impact of artificial intelligence on employment dynamics and social structures. In some areas, while AI may lead to the reduction of certain jobs, it also creates new job opportunities, generating complex effects on the labor market. Therefore, it is necessary to comprehensively evaluate these changes and provide corresponding recommendations to help all parties better adapt to this transformation process. Finally, this study emphasizes the critical role of artificial intelligence in the contemporary economic landscape and proposes a series of recommendations for its popularization and application.