Generative artificial intelligence (genAI) like ChatGPT has to date mostly made its home in the massive data centers of service providers and enterprises. One problem with a cloud-based system is that the underlying large language models (LLMs) running in data centers consume massive GPU cycles and electricity, not only to power applications but to train genAI models on big data and proprietary corporate data. The answer, according to Gold and others, is to put genAI processing on edge devices. That's why, over the next several years, silicon makers are turning their attention to PCs, tablets, smartphones, even cars, which will allow them to essentially offload processing from data centers.