The Rise of AI-Augmented Leadership Teams For most of modern organizational history, leadership effectiveness has been constrained not by authority or intent, but by cognition. Even the most capable executive teams operate under hard limits: bounded rationality, finite attention, delayed information, and structural bias. Herbert Simon’s seminal work on bounded rationality demonstrated decades ago that leaders do not optimize—they satisfice, relying on simplified models of rea

Introduction: The Hidden Cost of What Leaders Cannot See Strategic failure rarely originates from poor intent or inadequate resources. More often, it emerges from blind spots—systematic absences in perception that distort judgment long before decisions are made. Decades of research in strategic management and cognitive science demonstrate that leaders do not fail because they lack intelligence, but because complex environments exceed the limits of human sensemaking. As Herber

Strategy at the Edge of Human Capacity Modern strategy is colliding with a hard constraint: the limits of human cognition. As environments grow more complex, interconnected, and fast-moving, leaders are asked to process volumes of information, anticipate nonlinear dynamics, and make high-stakes decisions under deep uncertainty—often in compressed timeframes. This is not a failure of leadership talent or experience; it is a structural mismatch between the demands of the enviro

Introduction: The Misunderstanding at the Top Artificial intelligence has entered the executive agenda, but largely under a false premise. For many CEOs, AI remains framed as a productivity enhancer: faster content generation, improved reporting, automated customer support, marginal efficiency gains in knowledge work. This framing is dangerously incomplete. It treats AI as a tool  rather than as a strategic capability , and in doing so, it obscures the profound shift AI is dr