Alibaba Group is restructuring its artificial intelligence operations by creating a dedicated unit aimed at bringing together its AI research, products, and services, as per news reports.
The move signals a stronger push towards generating revenue from AI while improving coordination across its growing portfolio.
The company has formed a new division called Alibaba Token Hub, which will combine its core AI assets under one structure. This includes the Qwen model research team, consumer-facing applications and a range of AI-driven products.
The unit will also oversee platforms such as DingTalk and hardware offerings under the Quark brand, including smart devices.
Chief Executive Officer Eddie Wu will directly lead the division, with a mandate to align different teams and accelerate execution. In an internal communication, Wu highlighted that the initiative is built around creating, delivering and applying “tokens”, reflecting a shift towards usage-based AI monetisation.
The restructuring also comes at a time when the company is addressing internal changes, including the recent exit of a key figure behind its Qwen models, which had raised concerns around continuity in its AI strategy.
Alongside the organisational changes, Alibaba has introduced a new enterprise-focused AI product called Wukong, an agent-based system designed to help businesses automate tasks. Built on the Qwen model, the service includes data protection features and can be accessed through web interfaces and the DingTalk platform.
The system is expected to integrate with tools such as Slack, Microsoft Teams and WeChat, while also connecting with Alibaba’s own ecosystem including Taobao and Alipay.
The platform is positioned to support a wide range of professional use cases, enabling individuals and businesses to manage operations with the help of AI-driven automation.
Despite earlier investments to grow its consumer AI presence, including updates to its Qwen app, the company has seen stronger traction in enterprise-facing solutions and is now redirecting focus toward that segment.
Alibaba has committed more than $53 billion towards AI development, covering both software and hardware capabilities as part of a full-stack strategy. Its overall goal is to leverage its broad ecosystem to scale adoption and improve commercial returns from AI.
However, monetisation remains a challenge for Chinese AI firms, as users are less inclined to pay for software compared to global markets. Many domestic AI models are also open-source, limiting revenue potential when compared with international competitors.
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Alibaba’s decision to consolidate its AI operations under a unified structure highlights its intent to streamline execution and strengthen revenue generation from artificial intelligence. With a renewed focus on enterprise solutions and integrated offerings, the company is positioning itself to better compete in an increasingly competitive global AI landscape.
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Published on: Mar 17, 2026, 1:22 PM IST
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