A major focus of the visit was the role of intelligent robots, particularly humanoid robots and embodied AI systems being developed by startups at the Beijing innovation center.
Li described intelligent robots as a key carrier for combining AI with advanced manufacturing, stressing the importance of advancing:
By strengthening these areas, China aims to accelerate the deployment of robots in real industrial settings, particularly in manufacturing environments where automation can improve efficiency and consistency.
Beyond robotics, Li urged companies to deploy AI across every stage of the manufacturing lifecycle, including:
Applying AI at this scale is intended to transform factories into data‑driven production systems capable of faster innovation cycles and improved productivity.
China’s push for AI‑powered manufacturing is closely tied to broader economic strategy. Officials view advanced manufacturing and robotics as new sources of growth at a time when the economy faces weaker domestic demand and external economic pressures.
According to policymakers, integrating AI into industry could help:
These outcomes are expected to generate “new growth momentum and competitive advantages” for China’s economy.
Li also pointed to structural advantages that China believes will help scale AI‑driven manufacturing more quickly than many competitors. These include:
He encouraged government agencies and state‑owned enterprises to open more real‑world testing environments and support early adoption through equipment‑upgrade programs and other policy incentives.
The inspection tour highlighted how China is positioning AI‑enabled factories and intelligent robots as core pillars of future industrial development. By embedding AI deeply into manufacturing, policymakers hope to upgrade traditional industries, expand new technology sectors, and maintain global competitiveness in advanced production.
The visits to Xiaomi’s EV factory and the Humanoid Robot Innovation Centre offered a preview of that strategy in practice—factories where AI systems, robotics, and industrial data converge to shape the next generation of manufacturing.
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