As artificial intelligence continues to evolve, the focus is steadily shifting towards faster, more private, and accessible solutions that do not depend entirely on the cloud. Recent industry research supports this transition. A 2025 report by Gartner estimates that a significant share of generative AI workloads will move to edge and on-device environments over the next few years, driven by concerns around latency, cost, and data sovereignty. 

Experts believe that the rise of on-device AI is enabling users to run powerful applications directly on their personal systems, ensuring better data security and real-time performance. 

CoRover.ai, the company behind India’s Sovereign AI language model BharatGPT, showcased a fully offline AI-powered personal computing experience at the Intel AI PC Innovation Event. The demo featured a BharatGPT-mini powered conversational AI agent running completely on-device using Intel Core Ultra Series 3 processors, marking an important step in the AI-on-device journey. 

“While cloud technology made AI widely accessible, real adoption will come from on-device intelligence. This allows individuals not just to use AI, but to build, test, and scale AI agents,” Ankush Sabharwal, Founder & CEO, CoRover.ai said.

Built on CoRover’s Conversational Agentic AI Platform, the company claims that the solution works smoothly without internet access. According to CoRover, this is especially useful for different regions and data-sensitive environments. The AI PC is fully offline, private, and secure, and supports text, image, voice, and video interactions in multiple Indian and global languages, delivering fast performance directly on the device. This approach also reflects growing regulatory and enterprise concerns around data localisation and compliance, particularly in markets like India and the European Union.

“The goal is not just to create AI users, but to enable everyone to become an AI developer,” “With AI PCs powered by Intel Core Ultra Processors, this shift becomes real – enabling privacy, speed, and scale directly on the PC/Edge,” Sabharwal added.

The broader shift towards on-device AI is also being reinforced by advances in hardware and software optimisation.