It can fail because the physical system cannot reliably execute what the model decided. A recent article from the Association for Advancing Automation highlights an important point about reliable robot manipulation: better models are only part of the equation. Physical AI also needs: → Adaptability to real-world variation → Reliable execution of AI-generated actions → Physical feedback beyond vision and simulation → Flexible tooling that expands what the system can actually d

China is advancing fast in physical AI — not only with humanoid robots, but by connecting AI with factories, transport, farms, hospitals, and city infrastructure. Its advantage is not just AI models. It is manufacturing scale, deployment speed, and the ability to learn from real-world operations. China accounted for 54% of global industrial robot installations in 2024 and operates more than two million industrial robots. At the same time, the U.S. has restricted new Chinese h