This chapter examines the cognitive modes that shape how leaders interpret information, make sense of ambiguity, and sustain effective reframing in human-AI environments. It identifies four essential modes—Knowledge Uptake, Grounded Insight, Recognizing Causality, and Accurate Assumptions—each representing a distinct way of processing, clarifying, and applying knowledge. These modes are organized along two dimensions: the locus of cognitive focus (internal or external) and the function being performed (absorbing or distinguishing information). Through examples from national security, business, and healthcare, the chapter shows how each mode can either enhance or hinder reframing depending on contextual fit. High knowledge uptake enables rapid adaptation to new information; grounded insight distinguishes evidence from assumption; recognizing causality prevents misattributing effects; and accurate assumptions keep abstract models tethered to real-world experience. Leaders are urged to cultivate awareness of their cognitive tendencies and deliberately balance these modes to avoid overconfidence, bias, or premature closure. Cognition, therefore, is not merely analytical skill but the reflective practice of questioning what we know, how we know it, and when to shift perspective. By sharpening these mental lenses, organizations strengthen their capacity to interpret complexity and sustain reframing amid uncertainty.