In this article, we discuss the growing tendency to apply AI to problems that don’t necessarily require it, and the strategic implications of doing so. While AI is a powerful enabler of scale, efficiency, and new business models, its value is not universal. We explore how over-automation can introduce unnecessary complexity, hidden costs, and misaligned incentives, and argue that the real shift now is toward disciplined, ROI-driven deployment. The focus is not on what AI can do, but on where it truly makes sense.