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Preface

The year 2026 marks the dawn of a new era in Physical AI, driven by the resonance of carbon and silicon. Globally, artificial intelligence has officially navigated into the deep-water zone of Embodied AI, ushering in the inaugural year of mass commercialization. For a long time, AI has relied heavily on "data-driven" statistical pattern matching, achieving brilliant successes within virtual domains such as text and imagery. However, as intelligent agents attempt to cross the digital divide into the dissipative, non-linear physical world, traditional "black-box" models have revealed a glaring lack of physical intuition and a tendency for generalization collapse when confronted with extreme physical phenomena like non-rigid deformations, multiphase fluids, and contact non-linearities.

Market data indicates that global humanoid robot shipments will reach approximately 50,000 units in 2026 (synthesized from GGII and CCID Consulting data), representing a 178% year-over-year surge from about 18,000 units in 2025. Chinese manufacturers continue to dominate the global supply side, capturing a market share of roughly 84–87% (varying slightly across different statistical metrics). The overall scale of the global embodied AI value chain continues to expand. The hardware Bill of Materials (BOM) cost has dropped to a range of 20,000 to 35,000 – a nearly 65% reduction compared to 2023 – hitting the critical threshold for large-scale commercial deployment.

This report has been compiled by the World Laureates Association (WLA), bringing together the collective wisdom of the global vanguard across academia and industry. Adopting a globalized, first-principles panoramic perspective, we will deeply dissect the dynamic evolution of three core technical routes: traditional numerical simulation, neural physics, and generative world models. We will systematically analyze the trinity value of world models as "training grounds, predictors, and constrainers", while directly confronting foundational bottlenecks such as unmodeled real-world dynamics, computational latency, and data scarcity. By focusing on four critical dimensions – technical evolution, market landscape, application deployment, and regulatory policy – this report aims to provide a comprehensive reference framework for industry leaders, academia, and policymakers alike.