As of end-2025, offline AI is underserved yet scaling rapidly, with the global AI market projected to grow from USD 233.46 billion in 2024. Challenges include hardware-software gaps, where models grow faster than device capabilities, but solutions like NPUs in laptops address this by enabling local runs of large language models (LLMs). Decentralized infrastructure and open-source fine-tuning are key trends, fostering specialized models for edge use.