Agents: from buzzword to the core product of cloud vendors
At Yunqi 2026 the word "Agent" was everywhere: Agentic Cloud, AgentCore, Agent Studio, Agent Sandbox, Agent Context, Agent Native OS. Alibaba Cloud is repositioning nearly every product line around agents. The industry's center of gravity is shifting from selling VMs, storage and model APIs to selling agent runtime and managed agent services: long-running task management, failure recovery, tool invocation, permission control and context memory — all hosted by the platform.
Manufacturing cases: AI has already entered the factory floor
- Toyota FAW (一汽丰田): end-to-end AI across R&D, manufacturing and sales;
- Fanhai Group (泛海): an industrial AI platform with CNC process agents built on Qwen, encoding engineer experience and part cases;
- TCL: a "Star Intelligence" large model for semiconductor displays built on Qwen;
- Muyuan (牧原): Qwen-powered smart veterinary Q&A and BI analysis.
Manufacturing has high knowledge density but uneven digitization. A veteran engineer's decades of experience lives in their head; companies spend decades accumulating it. Agents are turning that experience into structured, reusable digital assets — the core value of industrial AI.
Source: EET-China: Yunqi 2026 review
Lingyang's "AI Employee 7-Day Plan": make AI accountable for KPIs
At Yunqi, Alibaba Cloud's Lingyang unit launched an "AI Employee 7-Day Go-Live Plan": a free one-day FDE diagnosis and a credit package worth CNY 150,000. Enterprises start from one concrete business problem and let an AI employee be tested on real data and real tasks. After seven days, they receive an "AI Employee Onboarding Report" covering whether the scenario is worth scaling, which data needs governance, and which KPIs the AI employee should own.
Enterprise AI has shifted from tool to role: Unilever salespeople rehearse restaurant pitches with an AI sales colleague; AI employees at Voyah, Bright Dairy and Pechoin now sit inside real business flows, owning marketing, sales and planning tasks with explicit conversion and retention metrics.
Source: 36Kr (Chinese): AI's real battle is being accountable for growth
Why now is the time to move agents to the cloud
| Dimension | Self-built | Agentic Cloud |
|---|---|---|
| Long-running tasks | Custom orchestration & retries | Managed agent runtime |
| Tool invocation | Per-tool integration & auth | Standard Skill/MCP interfaces |
| Security & audit | Manual review | Least-privilege RAM + audit trail |
| Time to production | Months | Weeks |
For manufacturers, energy and retail, running agents on the cloud is a "deterministic migration": start with read-only or recommendation workflows, validate accuracy, security and ownership, then progressively allow low-risk actions.
Start your industrial AI agent journey today
New-user credits for Alibaba Cloud International — run agents in production, globally.
Claim Alibaba Cloud new-user offers →FAQ
What is the difference between Agentic Cloud and regular cloud?
Regular cloud provides compute and platforms; Agentic Cloud provides a hosted environment for running agents — long tasks, failure recovery, tools, permissions and memory are handled by the platform, so teams focus on the business scenario.
Does manufacturing AI require full digital transformation first?
No. Pick one measurable business outcome (quality inspection, process suggestions, equipment operations), validate it on real data using the cloud platform, then expand scope progressively.
Can Qwen models be deployed privately?
Yes. Qwen supports cloud APIs, enterprise private deployment and local inference, letting enterprises choose the deployment model that matches their data-security requirements.