This document discusses how machine learning can be used to scale human judgment in understanding influence and telling stories. It argues that the definition of influence is expanding from words to objects, and that machine learning can help identify visual patterns and objects that influence behavior, even without words. The ability to understand influence at a micro-segmentation level will allow for more targeted and effective storytelling, advertising, and influence. As algorithms continue advancing, the advertising era is ending and the new "Storytizing" era is beginning, driven by real-time audience insights and agile content.