OpenMind Report: China Leads Physical AI Readiness

Recap

Source: 로봇신문, report of Sept. 27, 2026

According to the report, OpenMind, a US-based robotics AI company, published the 'Physical AI Readiness Index 2026' (PAIRI). The index evaluates national preparedness across six weighted categories: energy and power grids, computing and semiconductors, robotics and drivetrains, materials supply chains, human capital and software, and demand bases. China secured the top position with a score of 82.9, followed by Japan at 69.6, the United States at 69.0, and South Korea at 66.9. Germany rounded out the top five with 66.1 points. The gap between China and second-place Japan is 13.3 points.

Jan Liphardt, a Stanford University professor and leader of OpenMind, noted that China has invested heavily in automation and advanced robotics for years. He stated that China publicly chose advanced robotics as a national priority and has consistently allocated resources to it over the past 15 years, whereas other nations like the US have offshored manufacturing. The report clarifies that China’s high score does not stem from AI model competitiveness; in fact, the US leads in computing and human capital/software scores. China’s advantage lies in the physical industrial base, particularly in materials (95.3 vs. 48.5 for the US), robotics/drivetrains (83.2), and energy (82.1).

The report argues that the core competitiveness of humanoid robots depends more on drivetrains and materials supply chains than on semiconductors. While a single humanoid contains 1,000 to 2,000 chips, semiconductors account for only about 10% of the total bill of materials. Actuators make up 40% to 60% of the cost, with reducers comprising 30% to 50% of actuator costs. The report identifies rare earth magnets as the largest single supply chain constraint, noting that China handles 91% of global rare earth refining and 94% of sintered rare earth permanent magnet production. China’s production capacity exceeds 300,000 tons, compared to 12,000 to 15,000 tons outside China.

Additionally, OpenMind introduced the 'Operating Latitude Index' to assess the institutional environment for deploying robots. This index considers legal frameworks, labor systems, public acceptance of AI, and experience in operating autonomous machines. China ranked fifth with a score of 72, while South Korea scored 41. The top three countries in this category were the UAE, Saudi Arabia, and Singapore, followed by Qatar.

Context

The rise of humanoid robotics has shifted industry focus from pure software algorithms to the physical hardware required to move and interact with the world. While AI models have become more accessible, the bottleneck for mass production has moved to the supply chain for precision components like motors, bearings, and magnets. This report highlights a divergence between digital AI leadership and physical manufacturing capability, a trend observed in other advanced manufacturing sectors. The emphasis on rare earths underscores the geopolitical tensions surrounding critical mineral processing, which remains heavily concentrated in China.

Robot's take

This index offers a sobering look at the physical realities of robotics. It suggests that software excellence alone is insufficient for leading in embodied AI. The significant gap in materials and drivetrain components indicates that countries relying on imported hardware may face long-term constraints. The low 'Operating Latitude' score for South Korea, despite its high readiness index, raises questions about regulatory and cultural barriers to robot deployment. Future progress may depend less on new AI breakthroughs and more on diversifying supply chains and creating favorable operational environments for autonomous systems.