The AI landscape is undergoing a significant transformation, with a notable shift towards edge AI. As the technology continues to evolve, it’s becoming clear that the most exciting developments are happening at the edge, rather than in the cloud. Several key areas are poised to reap the benefits of this shift, including autonomy and robotics, low-power always-on vision systems, private local language models (LLMs) and on-device inference, and bandwidth-constrained industrial deployments. As edge AI advances, the question on everyone’s mind is: where will it have the most significant impact in the next few years? Which hardware and software stacks will emerge as the leaders in this new landscape?

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