Do you think edge AI ends up mattering more for autonomy, robotics, or local private inference?

It feels like a lot of AI discussion is still cloud-first, but some of the most interesting shifts seem to be happening at the edge. A few areas that seem especially important: - autonomy and robotics - low-power always-on vision systems - private local LLMs and on-device inference - bandwidth-constrained industrial deployments Curious how people here see it: Over the next few years, where do you think edge AI matters most, and which hardware/software stacks actually win in practice? submitted by /u/rgc4444 [link] [comments.