Trend Physical AI moves from digital space into industrial sites

Summary

The report describes physical AI as a new paradigm in which AI leaves digital space and is applied directly to solving problems in the real world. Its progress centres on vision-language-action models that learn from visual, linguistic and motion data together and can reason, plan and act without separate programming. AI that integrates information and operational technology is expected to expand autonomous manufacturing, judging and running the whole process from production planning to quality control. In logistics warehouses, robots trained by reinforcement learning are taking on picking, sorting and packing, strengthening supply chain efficiency and stability. Global ageing and labour shortages are making physical AI a key means of assisting or replacing human work across industries.