Alibaba Cloud

And then there is the physical infrastructure.

Alibaba Cloud wants its global data center capacity to exceed 20 gigawatts by 2032.

So is Alibaba looking like China's answer to the vertically integrated AI giants in the US? Does owning more of the AI stack create a competitive advantage or does this mean Alibaba has committed itself to an enormously expensive arms race? I think a lot of people are going to be looking closely at Alibaba's new strategy.

We're already seeing their shares respond rapidly.

It's called Chenwu V900.

That's the one I've been talking about.

The company also has plans to expand their Alibaba Cloud Global Data Center capacity to more than 20 gigawatts by 2032.

It's all part of this roadmap, spanning chips, cloud, and AI models.

The Chinese technology giant will also expand data center operations in Germany, France, the United Arab Emirates, Malaysia and Hong Kong.

The expansion is intended to increase Alibaba Cloud's global computing capacity as demand for artificial intelligence continues to grow.

Chief Executive Eddie Wu said machine-based thinking currently represents less than 3% of all human thinking.

Alibaba aims to operate more than 20 gigawatts of global data center capacity by 2032.

Payment infrastructure for agents is taking shape in China.

At Alibaba Cloud's 2026 Yunxi Conference, Payment companies Zinxafu and Huladian showed an agent payment service.

It connects merchants, acquirers, and card networks for agent-initiated transactions.

The companies also showed a merchant AI agent called Lubon.

Welcome to Fresh AI Workforce Wednesday.

Today, we're looking at Alibaba Cloud's latest push into enterprise AI.

On September twenty-third, the company announced a mid-cycle global expansion alongside three new AI-focused products designed to accelerate enterprise adoption.

What stands out here is the scale of the infrastructure commitment.

The announcement came via an EQS press release, so we'll be watching for follow-up disclosures on adoption rates and revenue contribution.

For enterprises in health, finance, and logistics, the combination of lower inference costs and regional data residency could be compelling, but it all depends on execution.

That's the story from Alibaba Cloud: infrastructure expansion, new AI tools, and a bet on enterprise adoption.

As we continue tracking how this plays out across sectors, let's shift our focus to Fresh AI Workforce Wednesday, where today we're covering Alteryx's latest push at the Gartner Data and Analytics Summit twenty twenty-six in India, showcasing how enterprises can actually operationalize AI by embedding transparent, auditable business logic into governed workflows, marking a significant shift from experimentation to production grade AI.

What was the topic was sandboxing of AI agents.

topic which that community tries to understand what does it mean to define it better and looks like there are also efforts to come out with a specification around this because there is at the moment there is no specification about what sandboxing means There is one proposal which has been published by Ali Cloud.

So this is a public proposal which is in the Agendic AI Foundation.

So you can look into this.