Credit: Robert Triggs / Android AuthorityAI is fast approaching a fork in the road. The spiraling cost of memory for both personal and cloud platforms, rising compute costs for training next-gen models, and high user demand for cloud platforms have made AI quite expensive to both provide and use. Then there’s the growing privacy concerns — just how much sensitive personal information are we giving away to chatbots?The solution to all these problems increasingly looks like running models on your own devices. Whether that’s Gemini’s Nano models summarizing your emails on your phone or tweaking your LoRAs to generate images on your PC’s GPU, running AI locally is already a powerful tool that, in theory, can do even more without an internet connection.