A new Hugging Face analysis identifies simulation as the primary bottleneck for physical AI. The report highlights a critical gap between digital training and real-world deployment, known as the sim-to-real gap. Researchers must prioritize high-fidelity physics engines to reduce hardware failures. This framework provides a roadmap for scaling embodied AI agents safely.