Recently, Tesla’s robotics team traveled to Ningbo to carry out factory inspections at key automotive supply chain companies, including Tuopu Group, Sanhua Intelligent Controls, and Joyson Electronic—all of which have already secured humanoid robot orders from Tesla. The primary objective of these audits is to evaluate production line quality and regulatory compliance, with successful evaluations paving the way for swift production ramp-up. This development underscores how the automotive supply chain is leveraging its existing strengths—such as technological overlap and reusable supply chain infrastructure—to transition into the field of embodied artificial intelligence (AI). Suppliers are achieving this through a combination of in-house R&D, spin-off ventures, mergers and acquisitions, and other strategic approaches, while also tapping into vast industrial use cases to generate data and application support for embodied AI technologies.

At present, the industrialization of humanoid robots faces several hurdles, including inconsistent production processes, high costs, and a lack of standardized industry benchmarks. Industry leaders are addressing these challenges by pursuing technological innovation aimed at transitioning products from “functional” to “consistently high-performing.” Given Tesla’s ambitious goal of producing tens of millions of humanoid robot units, automotive suppliers are well-positioned to capitalize on the 60–70% overlap in production capabilities between vehicle manufacturing and robotics. This overlap will enable them to replicate the cost-reduction strategies that proved successful during the automotive electrification boom, setting the stage for sustained competition in the emerging robotics sector.