While incredibly promising, Edge AI still faces some hurdles. Security and privacy concerns regarding data stored and processed on local devices must be addressed through robust security protocols and user-centric data governance practices. Additionally, power consumption can be challenging for battery-powered devices, requiring the development of energy-efficient AI algorithms and hardware components. Despite these challenges, investigators and innovators actively perform on solutions, and the field is constantly growing.