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China Telecom

China's telecom operators have humanoid robots in service centres, a home robot on the market, robot platforms sold as a service and a dedicated network for an international humanoid robot competition. This article explains what Chinese operators are doing in physical AI, the five forces behind their lead, how Hong Kong's HKT applies a similar approach and what operators elsewhere can learn.
TeckNexus reviewed public physical AI evidence at 40 telecom operators. Most are entering the market as connectivity and compute suppliers, while about a dozen show a hands-on role in the robot application. This article defines physical AI for telecoms, maps the six roles operators are taking, explains where the margin sits and sets out the three routes operators are using to move closer to the machine.
September 2026's roundup: Verizon, T-Mobile US and Telstra run AI across national networks, AI-RAN moves into national contracts and field results, the economics and portability of AI agents come into focus, and agent safety moves from principles to working controls.
August 2026's roundup: operators from SK Telecom to Ooredoo built or monetized AI infrastructure directly, AI-RAN validation reached the device and per-user level, agentic AI moved deeper into live network operations, and governance caught up with a watermarking mandate, an incident-reporting coalition, and a hard look at why AI inference costs keep rising even as token prices fall.
China Telecom, China Mobile, and China Unicom have each unveiled token-based service plans, ecosystem alliances, and commercial pricing structures that reframe what it means to be a telecom provider in the AI era. This is not a pilot program or a speculative roadmap. It is a structural shift in how network operators intend to generate revenue, compete for enterprise customers, and position themselves at the center of the AI economy — driven by a greater than 1,000-fold surge in daily token consumption across China between early 2024 and March 2026.
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