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China’s State Grid Plans Massive Deployment of AI-Powered Robots
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SCMP Economy4/24/2026Business1 min readChina

China’s State Grid Plans Massive Deployment of AI-Powered Robots

Utility giants to invest over 10 billion yuan in embodied intelligence for infrastructure maintenance

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China's State Grid plans to deploy 8,500 AI-powered robots this year to maintain infrastructure, contributing to a sector-wide investment expected to exceed 10 billion yuan by 2026.

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Why It Matters

China is aggressively integrating AI and robotics into its utility sector to improve efficiency and safety in managing critical infrastructure.

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China’s industrial giants are rapidly scaling up the use of AI-powered robots to operate vital infrastructure, with the country’s main grid operator unveiling a blockbuster plan to deploy thousands of bots to handle a range of roles – from inspecting remote substations to performing maintenance on ultra-high-voltage power lines.

The firm intends to purchase around 8,500 robots this year, according to an internal company development plan seen by Jiemian.

When similar plans by other Chinese utility firms including China Southern Power Grid are taken into account, industry insiders expect total investment on embodied intelligence in the sector to surpass 10 billion yuan in 2026, according to the report.

The firm will also deploy an army of humanoid and dual-arm robots to perform more high-stakes tasks, including maintaining the country’s rapidly expanding ultra-high-voltage power grid.

About 5.8 billion yuan of State Grid’s investment will go towards procuring hardware, with the remainder allocated to research and development and staff training, according to the report.

What to Watch

AI outlook — possibilities, not facts

  • Increased stock valuation for Chinese robotics and AI automation firms.

    Likely · Within months

Open Questions

  • Which specific robotics manufacturers will supply the 8,500 units?
  • What is the expected timeline for the full integration of these robots into the grid?

Related Topics

This article was originally published by SCMP Economy.

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