Europe’s production base is at a tactical inflection point. Climbing power costs, fragile supply chains, and heightening worldwide competitors collide with a once-in-a-generation technical leap: Physical AI — robots and systems that perceive, discover, and adjust in genuine time (Globe Financial Online Forum, 2025 a). Unlike inflexible, rule-based automation, these makers integrate assumption, multimodal AI models, and contextual thinking, allowing versatility, durability, and efficiency in atmospheres that are progressively intricate and unforeseeable (Globe Economic Online Forum, 2025 b; 2025 c).
From Automation to Physical Knowledge
The shift from conventional automation to Physical AI is no longer academic. The Financial Times lately reported on “RoboBallet,” a system created by UCL, Google DeepMind, and Intrinsic that choreographs multi-robot production cells in seconds as opposed to days (Peel,2025 By reducing crashes and enhancing throughput, RoboBallet demonstrates exactly how adaptive coordination could transform European vehicle and advanced setting up industries. While these applications continue to be in pilot stages, they direct toward a future in which industrial robots operate less like preprogrammed …