Physical AI represents one of the most tangible evolutions of artificial intelligence: a shift in which systems move beyond simply analyzing information or suggesting decisions and begin to perceive their environment, interpret it, and act in the real world. In this episode of DGS On AIr, Francesco Di Bianco, Physical AI Offering Leader at DGS, and Elena Dalle Cort, Solution Consultant at DGS, guide listeners through a paradigm that is already reshaping the way processes, operations, and the interaction between technology and people are designed.

The conversation explores the leap beyond traditional automation, highlighting what makes Physical AI more flexible, adaptive, and capable of managing processes that evolve over time. From autonomous mobile robots for logistics and systems for inspection and predictive maintenance to 3D quality control and advanced manipulation, the episode brings to light scenarios where artificial intelligence is already creating tangible value.

Alongside these use cases, the episode also looks at the core mechanism behind this model: a continuous cycle of perception, cognition, and action, fueled by simulation, learning, and constant contextual updates. It also offers a reflection on the human role, increasingly centered on judgment, responsibility, and collaboration with intelligent systems.

The episode closes with a look ahead at the future trajectories of Physical AI: co-creation with clients, integration into industrial processes, intelligent ecosystems, and new models of autonomy set to redefine the relationship between AI and the physical world.