The rise of artificial intelligence, particularly tools like OpenAI's ChatGPT, has introduced capabilities that allow for the generation, debugging, and editing of SQL queries, posing questions about the future roles of SQL analysts. While AI can efficiently translate natural language into SQL code and even offer explanations to aid learning, it struggles with understanding complex company-specific data schemas and business logic, often necessitating human oversight to ensure accuracy and contextual relevance. Despite its current limitations, AI can significantly enhance the efficiency of SQL analysts by speeding up query generation and allowing professionals to focus on interpreting results and making informed decisions. Overall, AI serves more as a powerful assistant rather than a replacement for human analysts, helping to streamline their existing workflows without fully replacing the nuanced understanding and decision-making capabilities that professionals bring to the table.