This explores the profound influence of Generative Artificial Intelligence (AI) and Large Language Models (LLMs) on organizational decision-making, proposing three main avenues of impact: replacement, augmentation, and disruption. For routine operational tasks, AI is expected to replace human workers due to its superior efficiency, while more complex tactical and strategic decisions will involve AI augmenting humans as a collaborative "thought-partner" to achieve less biased and more robust outcomes. However, the authors also discuss the potential for AI to produce disruptive, breakthrough ideas that are often opaque to human reasoning, which introduces an inferential trilemma: determining if an AI-generated novel idea is a true innovation, a hallucination, or a result of system misalignment. Organizations that successfully navigate the boundary between replacement and augmentation, and that develop protocols to resolve this trilemma and leverage "cascading improvements" from breakthroughs, will be the most successful in the future.