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America's robotics industry sees a familiar 'Made in China' problem

Physical Intelligence cofounder Sergey Levine said US robotics research relies on outsourcing cheap but reliable parts from China.

The United States' robotics industry faces a familiar challenge of being dependent on foreign manufacturing, specifically China, for crucial components, according to industry leaders and policymakers. Physical Intelligence cofounder Sergey Levine emphasized that access to affordable hardware is vital for the US robotics sector's growth, as a significant portion of the hardware used in robotics research currently originates from China.

While the brains of robots may be developed in the US, the body of these machines is often sourced from China, leading to concerns about the country's competitiveness in this emerging industry. Evan Beard, CEO of Standard Bots, highlighted that sourcing hardware from China is generally 5 to 10 times cheaper compared to manufacturing it domestically.

McKinsey's June analysis revealed that China holds a significant share of the market for robotics parts, including 90% of permanent-magnet processing. This dominance is partly attributed to China's electric vehicle ecosystem, which shares many components needed in robots. US policymakers and executives are increasingly worried about China's rapid progress in robotics and AI, coupled with its strong manufacturing base, potentially hampering America's ability to compete effectively in this critical field.

A recent FCC decision effectively blocked advanced robots and humanoids made in foreign countries from entering the US market, citing national security concerns, but some researchers and startups argue that this ban hinders access to affordable hardware. Levine stressed the importance of fostering a holistic approach to the robotics industry, emphasizing that different sectors contributing to it must be healthy individually, and outsourcing should not be the sole solution.

Written by urgent.news from Business Insider's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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