Huawei Cloud has introduced CloudRobo, a comprehensive platform for developing embodied artificial intelligence. This platform covers the entire workflow: from data creation and model development to robot simulation and deployment. With this move, the company has declared its position as a provider of the intelligent 'brain' for robots, rather than a direct manufacturer.
This strategy mirrors Huawei's approach in the smart car sector, which led to the success of SERES/Ask. Instead of creating the final product independently, Huawei provides the intelligent core, ecosystem, and development platform, allowing other companies to create competitive products. More than twenty companies, including Youibot and Huayan Robotics, have joined CloudRobo as initial partners.
The architecture of the CloudRobo platform is based on three main elements. First, a PB-level data foundation provides access to millions of ready-made datasets. Second, a cloud engine for model production utilizes a series of Pangu models running on Ascend AI chips. Third, an internal Real-Sim evaluation system allows for realistic virtual testing.
Developers gain access to over 20 models optimized for Ascend and can connect a robot to the cloud in mere hours, while deploying a model takes minutes. The platform covers the entire process of embodied AI development: data collection, model training, simulation evaluation, hardware integration, and operation.
The logic of this strategic decision replicates Huawei's proven model. In the smart vehicle segment, Huawei supplied intelligent driving systems, cockpits, and electric drive technology, while partners handled manufacturing. This model allowed SERES to transform from an unknown manufacturer into a premium electric vehicle brand, and the M9 model became a bestseller in the segment above 500,000 yuan. Now, Huawei is applying the same division of labor concept to embodied AI: the company provides the intelligent operating system, cloud platform, and basic AI models, while robot manufacturers focus on hardware development, production, and vertical application scenarios where they possess expertise.
The high gross profit margin of controllers at 79.8% compared to the equipment margin of 38.4% confirms the priority of the strategic focus on software-defined value.
The current time reflects industry maturity. Robot motion control capabilities are largely standardized among major manufacturers, making the intelligent processor the primary differentiator. The fragmented robotics landscape, encompassing industrial manipulators, service robots, quadrupeds, and humanoids, requires a unified development infrastructure to avoid every team recreating everything from scratch. Huawei CloudRobo solves the problem of manual development, where individual groups wasted excessive resources on creating custom data pipelines, model training, simulation environments, and hardware integration instead of innovating in applications.
Although it remains unclear whether Huawei can replicate its smart vehicle ecosystem strategy in embodied AI, given that cars feature high standardization and uniformity, whereas robots have extremely diverse requirements, Huawei already possesses the M-Robots OS based on OpenHarmony and over 15 embodied AI startups founded on talent nurtured by Huawei, indicating the company's influence extends far beyond the CloudRobo platform itself.
At the WAIC 2026 event, Huawei Cloud CEO Zhou Yu Feng introduced the AgentArts platform and the openJiuwen framework. These developments aim to implement enterprise-level agents, ensuring stability, security, and the ability to coordinate multiple agents.
Zhou Yu Feng outlined the company's strategy in enterprise AI at WAIC 2026. He emphasized that transitioning from demonstration agent models to full production systems requires three interconnected achievements: the adoption of open protocols, the utilization of reusable industry resources, and the application of a platform approach that raises both the upper and lower thresholds of agent capabilities. The central element is AgentArts—a full lifecycle platform that includes AgentStudio for flexible development, AgentRun for reliable operation, and AgentOps for continuous functioning, with openJiuwen serving as the open-source core framework.
The primary problem Huawei Cloud addresses is the gap in stability between demonstration and production agent environments. Zhou noted that agents are gradually transforming the traditional SaaS ecosystem. However, enterprises require agents capable of 24/7 operation, self-optimization, defense against AI-inherent threats, and providing constant observability of task execution chains. AgentArts solves this by introducing multi-level controllers, self-evolution capabilities, Agent Identity, session-level isolation, dynamic tokens, and detailed permission control to minimize agent errors during complex operations.
OpenJiuwen, an open-source framework for enterprise agents, shares over 90% of its code with AgentArts. It introduces two engineering paradigms: Coordination Engineering for the collaboration of multiple agents and Symbiosis Engineering for long-term human-agent cooperation. The framework treats large language models, memory stores, and agent protocols as new computational, storage, and network resources, respectively, which are managed through a unified corporate agent operating system (AgentOS). CLI and MCP serve as standard interfaces for calling external tools and services.
Several financial institutions have already begun using these technologies. China Postal Savings Bank developed an agent execution mechanism using the Huawei Cloud and openJiuwen stack, achieving automated 24/7 operation with minute-level data collection, analysis, and multi-channel distribution. Tianyancha integrated 160 MCP capabilities and converted six risk control scenarios into reusable Skills. Furthermore, Huawei Cloud, in collaboration with ICBC, China UnionPay, and over ten other financial institutions, launched the 'AI Dream Industrial Factory' initiative in the Smart Finance Zone to create and exchange industry-specific agent assets covering mobile banking, intelligent marketing, risk control, and remote banking scenarios.
The China Academy of Information and Communications Technology (CAICT) forecasts that agent penetration will reach 70% by 2027 and 90% by 2030. Nevertheless, CAICT Director Wei Kai pointed out that individual efficiency does not equal organizational efficiency. Enterprises cannot deploy agents in isolation; they require engineering methodologies for goal setting, roadmaps, evaluation systems, and continuous iteration. Simultaneously, issues such as business integration, data governance, multi-agent interaction, end-to-end security, and responsibility distribution between humans and machines must be addressed. Huawei Cloud's platform approach aims to provide the infrastructural layer necessary to achieve this systematic transformation of agents within enterprises, moving them from simple Q&A responses to executing real business tasks in banking, energy, manufacturing, and other key industries.
As part of the World Artificial Intelligence Conference held in Shanghai, China, Minister of Digital Technologies Sherzod Shermatov held a meeting with the management of one of the world's leading technology companies—Alibaba Cloud.
The negotiations covered topics such as artificial intelligence, cloud technologies, Data Centers, the development of modern digital infrastructure, and the training of highly qualified IT specialists.
Representatives from Alibaba Cloud shared information about the company's latest developments in artificial intelligence, advanced AI models, cloud services, and experience in implementing these technologies across various aspects of life. They highly appreciated the potential of Uzbekistan's youth, the rapidly developing digital market, and the reforms being implemented in the country to advance artificial intelligence.
Sherzod Shermatov emphasized the growing number of local companies utilizing open-source models and artificial intelligence technologies from Alibaba Cloud in Uzbekistan. He noted that it is crucial to develop human capital, improve the qualifications of local specialists, and expand practical cooperation in the field of artificial intelligence.
Information was also provided regarding the favorable investment environment for developing data centers in Uzbekistan, including infrastructure opportunities based on 'green' energy.
The parties discussed the phased development of artificial intelligence infrastructure in the country, expanding the capabilities of modern AI platforms for local programmers and enterprises, and training a new generation of specialists in collaboration with the engineering teams of UZINFOCOM and UNICON-SOFT.
Particular attention was paid to forming engineering teams capable of developing and implementing AI-based solutions in vital sectors such as healthcare and education. Furthermore, the agenda included strengthening partnerships with higher educational institutions and creating AI solutions tailored to the needs of government agencies and businesses.
Following the meeting, it was planned to advance projects to the practical stage under the coordination of the Artificial Intelligence Development Center, launch cooperation between technical teams, and demonstrate initial results during ICT Week Uzbekistan, which will take place in September of this year. Further expansion of cooperation on implementing artificial intelligence agents and practical AI solutions in various sectors of the economy was also discussed.
