In the rapidly evolving field of analytics, the primary challenge has shifted from data access to managing human attention, as AI systems generate a plethora of insights that require discernment to determine their relevance and actionability. While AI can surface patterns and anomalies at unprecedented speeds, the true bottleneck lies in the ability to exercise judgment, deciding which insights warrant focus and which are merely noise. Analysts are now tasked with effectively allocating their attention, transforming from operators to allocators who strategically invest their focus to propel business outcomes. A practical framework known as RATE—risk, alignment, time-to-value, and evidence—has been proposed to help analysts prioritize AI-generated insights. Platforms like Dataiku support this transition by automating mundane tasks and allowing analysts to concentrate on insights that drive meaningful impact. The future of analytics will be defined by those who treat attention as a valuable resource, using it to orchestrate data into actionable direction rather than just accumulating more information.