The next phase of AI will be shaped by how intelligence scales across the billions of devices people use every day. In this podcast episode of Inside Tek, MediaTek’s Adam King and TIRIAS Research’s Francis Sideco discuss how AI is now embedded across a wide range of products, including smartphones, tablets, Chromebooks, smart home devices, and vehicles.
This shift is powered by scalable AI hardware, such as MediaTek’s neural processing units (NPUs), designed to handle everything from simple tasks to more advanced on-device AI workloads, making experiences faster and more efficient.
This is also driving the growth of edge AI, which works alongside the cloud. While the cloud remains important for running large-scale AI models, running AI locally allows for quicker responses, better performance, and the ability to work without an internet connection. These advantages are especially important for emerging applications like augmented reality and autonomous systems that depend on real-time reactions. As a result, AI is moving toward a hybrid model, with workloads intelligently shared between the cloud and the edge.
Looking ahead, continued advancements in physical AI and ecosystem collaboration will help shape the next phase of innovation. Partnerships with industry leaders NVIDIA and Google are helping extend AI capabilities across platforms, while support for common developer tools make it easier to build across devices.
While more advanced AI like artificial general intelligence (AGI) is still further away, the direction is clear: AI will become more widespread, more efficient, and more integrated into everyday life, with edge computing playing a central role.
