Research indicates that over 80% of artificial intelligence (AI) projects fail, resulting in significant financial losses for companies. A report from Tom's Hardware highlights that this failure rate is notably higher than that of non-AI technology startups, with the RAND Corporation providing insights into the issue. The disconnect between leadership expectations and the actual capabilities of AI technology has been identified as a contributing factor to these failures. Additionally, the roles of chief data, analytics, and AI officers are becoming increasingly unstable as many companies reassess their leadership structures in response to these challenges. Experts suggest that many projects labeled as AI should have been categorized as machine learning initiatives, indicating a misalignment in project goals and expectations.