What's left for analysts when agents do everything?

As AI agents increasingly automate traditional data analysis tasks like writing SQL queries and compiling reports, the role of the analyst is evolving to focus more on the human-centric aspects of data work, such as curating context and crafting compelling narratives. While AI can efficiently handle large volumes of data and basic tasks, it lacks the ability to capture nuances, address exceptions, and understand the deeper implications of data within specific business contexts. Analysts are now empowered to leverage their domain-specific expertise and storytelling skills to drive actionable insights, transforming data into decisions that resonate with stakeholders. This shift allows analysts to move away from repetitive and commoditized tasks, emphasizing their unique value in translating complex data into meaningful stories that can influence and inspire action.