Research on the Application of Artificial Intelligence in the Audit Field-Taking Ernst&Young as an Example

This research further delves into how EY's AI - based audit model impacts the overall audit market landscape. By analyzing market share changes and competitive dynamics, it becomes evident that EY's innovative approach has spurred other firms to accelerate their digital transformation efforts. This has led to a more competitive yet dynamic audit market, ultimately benefiting clients through improved services and more accurate risk assessments.Moreover, the study explores the long - term implications of AI in auditing. As AI technology continues to evolve, there is a possibility of new audit services emerging. For example, predictive auditing, where AI can forecast future financial risks and business trends based on historical data, could become a standard offering. However, this also raises questions about the future role of auditors. While AI can handle a significant portion of data - processing tasks, the need for human judgment in complex audit situations remains crucial.In conclusion, this research not only provides a detailed analysis of EY's AI - based audit practices but also offers a forward - looking perspective on the future of the audit industry. It serves as a call to action for audit firms to embrace AI technology while being mindful of the associated challenges, in order to stay competitive.