This article examines the reliability issues of large language models (LLMs) used in AI, highlighting their tendency to hallucinate and produce incorrect information. New research indicates that these problems stem from the models' inherent design, raising concerns about their suitability for high-stakes applications like law and accounting. Investors may need to reconsider the viability of AI business models given these risks.