Are AI Agents becoming the new abstraction layer over software?

One thing I’ve been thinking about lately is that a lot of AI discussion focuses on replacing software, but agents feel different. Traditional software usually means: open app → navigate UI → execute steps → get result. With AI agents, the interaction seems to shift more toward describing an outcome and letting the system decide parts of the workflow. Not fully autonomous in most cases, but enough to change how people interact with tools. A simple example is using runable to take scattered notes, ideas, or requirements and help convert them into a structured checklist or action plan. The useful part isn’t the text generation itself — it’s reducing the effort of turning intent into something executable. That makes me wonder if agents are less about replacing apps and more about becoming a layer that coordinates existing software and reduces friction. Curious how people here see it: are agents becoming a new category of software, or just another interface on top of existing tools?