In the article 'From Models to Machines: Why Physical AI Is the Next Frontier' by Andrew Maywah, the author presents that artificial intelligence is rapidly expanding beyond screens and software to interact directly with tangible environments, a progression known as Physical AI. This emerging field integrates advanced neural networks with hardware components such as sensors, edge processors, and actuators to enable machines to safely perceive and navigate the material world. While traditional automation has existed for years, recent technological convergence has made these smart systems significantly more affordable, capable, and practical for commercial deployment. The resulting investment opportunity extends far beyond building finished robots, encompassing the vital infrastructure layer of batteries, microchips, and precision controls.
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