Large language models (LLMs) excel at probabilistic logic but struggle with deterministic logic, making them less effective for financial applications. Contrary to expectations from three years ago, LLMs have proven inadequate in finance, where precision is critical. In comparison, AI agents in law firms perform better than those in accounting, highlighting the importance of accuracy in financial contexts.