For frontline-intensive sectors such as retail, logistics and manufacturing, on-device AI is emerging as a practical way to reduce latency, manage costs, strengthen data security and support workers in high-volume operational environments. Interview ExcerptsWhy is on-device AI emerging as a more sustainable approach to scaling AI adoption? How are advances in AI models, processors and edge devices making real-time, on-device AI practical for industries such as retail, logistics and manufacturing? AI models and agents on-device are surrounded by exceptional data capture sensors for multimodal AI. Looking ahead, how do you see the balance between cloud-based AI and on-device AI evolving and what should enterprise leaders prioritise as they shape their AI strategies?