Key take-aways: “16th Smart City and Intelligent Economy Expo” for Huawei, Alibaba & China’s three state backed carriers
Disclaimer: Perplexity.ai was used to research this article and generate the table below.
The 16th Smart City and Intelligent Economy Expo was held from September 11 to 13, 2026 in Ningbo, China. It was heavily backed by Huawei and China’s three state-backed carriers: China Telecom, China Mobile, and China Unicom. It covered more than 30,000 square meters in five halls, included more than 380 enterprises and institutions, and ran over 20 associated activities.
China’s three state backed carriers actively demonstrated next-generation network connectivity and Edge-AI integration. A major focus was “Human-Machine Symbiosis,” showcasing how 5G/6G network architectures and localized intelligent computing hubs handle full-chain robotic applications across commercial retail and public service systems.
Under the theme “AI Transformation for a Brighter Future,” the three-day event featured more than 380 enterprises displaying industrial robotics, consumer AI technologies, and smart city infrastructure. The municipal government of Ningbo, Zhejiang’s Department of Economy and Information Technology, the China Academy of Information and Communications Technology (CAICT), the China Electronics Industry Federation, China Telecom, China Mobile, and China Unicom co-hosted the event.

A Few Highlights:
- Huawei presented its latest-generation AI inference server equipped with the 950DT processor;
- Alibaba Cloud displayed its five-layer full-stack architecture “chip-cloud-model-inference-application” for the agent era;
- Kingdee released the Lingji AI-native platform;
- China Telecom exhibited the Stellar Super Agent (TeleAgent), China Mobile showcased the AI multi-model aggregation platform MoMA and 6G space-air-ground communication achievements, and China Unicom presented the Forbidden City digital twin platform and other integrated scenarios.
- Domestic GPUs from Xiwang, high-bandwidth memory from Liji Storage, RF filters from Xingyao Semiconductor, and other core chips in critical technology areas were on display.
- The National Manufacturing Digital Transformation Promotion Center premieres the AI-empowered direct-drive high-end industrial machine tool system developed by Academician Tan Jianrong’s team. Multiple academicians all attended this event.
The telecommunications narrative centered on an evolution from conventional network supply to intelligent-service infrastructure—combining AI platforms, next-generation access and transport, cloud resources, and sector-specific applications.
Digging Deeper:
The show also featured Alibaba Cloud’s five-layer “chip-cloud-model-inference-application” architecture for the agent era. Taken together with Huawei’s inference hardware and the operator platforms, the expo’s implicit architecture was a localized, vertically integrated AI stack: domestic chips and memory at the bottom; distributed cloud and compute in the middle; foundation and domain models above that; and agents, robots, digital twins, industrial systems, and public-service applications at the top.markets.financialcontent
“Human-Machine Symbiosis” and robotics:
The most visible new exhibit was the inaugural “Human-Machine Symbiosis” area. Nearly 10 leading companies showcased the full robotics chain, including a physical exploded-view presentation of humanoid-robot components and more than 30 robots demonstrating use cases in commercial retail, public services, and other environments.markets.financialcontent
The significance is less the robot count than the framing. Rather than isolating humanoid robots as a hardware novelty, the expo connected them to:
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Component supply chains and embodied-AI systems.
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On-site operational use cases in retail and public-service environments.
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AI models and agent platforms.
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Industrial automation and multi-robot coordination.
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Communications and compute infrastructure capable of supporting distributed sensing, inference, command, and operations.
That linkage was strengthened by the new “Embodied Intelligence in Factories” section, which brought four working production lines into the exhibition venue. Junpu Intelligence showed a multi-robot collaborative precision-assembly line for battery-management systems. This shifts the conversation from humanoid-robot demonstrations toward production-grade orchestration: multiple machines, shared spatial awareness, task allocation, machine vision, industrial control, and quality processes.markets.financialcontent
Network and edge-AI implications:
The Ningbo event did not establish that commercial 6G is available today; rather, it used 6G achievements and space-air-ground concepts to signal the network requirements anticipated for AI-driven physical systems. For nearer-term deployment, the relevant foundations are 5G/5G-Advanced, private cellular, cloud-edge orchestration, AI-native core evolution, and localized inference.
The technical logic is straightforward:
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Robots need local response. Safety, manipulation, navigation, machine vision, and multi-robot collaboration can require low and predictable latency, so inference and control cannot always reside in a distant centralized cloud.
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Local compute hubs become operational nodes. Edge or on-premises AI infrastructure can host vision-language-action models, smaller specialized models, digital-twin data, real-time analytics, and orchestration functions close to factories, stores, campuses, or municipal sites.
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Networks must coordinate, not simply connect. A physical-AI application needs reliable device connectivity, traffic prioritization, security, device management, data transport, service exposure, and integration between local and centralized computing domains.
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The network itself becomes AI-enabled. Huawei has articulated a three-layer approach spanning network-element intelligence, network intelligence, and business intelligence. The stated objective includes better equipment efficiency, full-domain operations and maintenance, and agentic AI functions embedded into the core-network environment.
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Space-air-ground integration expands the operational domain. China Mobile’s 6G space-air-ground showcase aligns with a broader Chinese operator narrative around supporting drones, vehicles, remote assets, low-altitude networks, and eventually wider-area AI services. Huawei likewise links future AI-enabled services to 3GPP non-terrestrial-network integration, although this remains a developing standards and deployment agenda rather than a near-term replacement for terrestrial 5G infrastructure.
The event’s central significance is that China’s state-backed operators are increasingly presenting themselves as AI infrastructure companies with communications assets, rather than communications companies adding isolated AI features. This has several implications:
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Operators are moving up the stack. China Telecom’s agent and token-facing model, China Mobile’s multi-model platform, and China Unicom’s digital-twin applications all extend beyond access, transport, and traditional cloud resale.
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Embodied AI creates a new justification for edge networks. Robotics, industrial automation, public-service machines, and mixed physical/digital workflows can make distributed compute and managed connectivity commercially relevant in ways that generic enterprise AI has not always done.
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Domestic technology self-sufficiency is a material theme. The presence of domestic GPUs, high-bandwidth memory, RF filters, server platforms, and Chinese cloud/model providers shows that the event was as much about indigenous AI infrastructure as end-user applications.
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Smart-city deployment is becoming a proving ground. Retail, public services, manufacturing, digital twins, education, healthcare, mobility, and city operations offer live environments in which operators can bundle connectivity, AI, cloud, security, integration, and managed services.
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The most immediate opportunity is 5G-A plus edge AI, not 6G. The expo’s 6G language is strategic positioning. Deployable value over the next few years is more likely to come from 5G-Advanced/private wireless, cloud-edge compute, AI agents, computer vision, and integrated management platforms.
Conclusions:
More broadly, the Ningbo expo fits the national telecom-industry message visible at MWC Shanghai 2026: China Mobile, China Telecom, and China Unicom are already associating advanced mobile networks with humanoid robotics, drones, autonomous vehicles, and AI-enabled services. Huawei, meanwhile, is promoting AI-native network evolution and future 6G/NTN integration as the longer-horizon foundation for an “intelligent world.”
After 16 years of dedication to the digital intelligence track, the Smart City and Intelligent Economy Expo has become an important platform for showcasing city image and promoting industrial cooperation. Ningbo has fully implemented the “AI+” initiative, with the city’s digital economy added value exceeding one trillion yuan for the first time in 2025, reaching 1,059.15 billion yuan and accounting for 56.6% of GDP.
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References:
Analysis & Economic Implications of AI adoption in China
China vs U.S.: Race to Generate Power for AI Data Centers as Electricity Demand Soars
China’s open source AI models to capture a larger share of 2026 global AI market
China’s telecom industry rapid growth in 2025 eludes Nokia and Ericsson as sales collapse
China ITU filing to put ~200K satellites in low earth orbit while FCC authorizes 7.5K additional Starlink LEO satellites
China gaining on U.S. in AI technology arms race- silicon, models and research
U.S. export controls on Nvidia H20 AI chips enables Huawei’s 910C GPU to be favored by AI tech giants in China
China’s state owned telcos slash CAPEX to the lowest in decades!
Goldman Sachs: Big 3 China telecom operators are the biggest beneficiaries of China’s AI boom via DeepSeek models; China Mobile’s ‘AI+NETWORK’ strategy
Omdia: Huawei increases global RAN market share due to China hegemony
China Telecom’s 2025 priorities: cloud based AI smartphones (?), 5G new calling (GSMA), and satellite-to-phone services
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