This talk explores the current state and future developments of AI in SQL and data analytics. It highlights how AI techniques enhance SQL-based data analytics, enabling faster and more accurate insights. Challenges of data quality, interpretability, and privacy are discussed along with ongoing research efforts in explainable AI and privacy-preserving techniques. Future developments include automated query optimization, intelligent data visualization, and integration with emerging database architectures. Attendees gain insights to leverage AI for enhanced data analysis and decision-making.