Alibaba targets small businesses with AI agent platform


Alibaba is pushing further into the global race for AI agents. Its international commerce unit has launched Accio Work, a plug-and-play “AI taskforce.” According to the company, it can handle complex business tasks on its own for small and medium-sized businesses.

The launch comes as interest in AI agents is booming in China. The trend was sparked by OpenClaw, with people from students to retirees joining the so-called “lobster raising” craze. Companies are now rushing to release OpenClaw-based tools, raising growing security concerns.

Accio Work marks a contrast with the consumer-driven frenzy, with the company saying it deploys cross‑functional AI teams requiring no coding or setup.

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"We distinguish ourselves by being a specialized B2B tool rather than a generalist platform," Alibaba International Vice President Kuo Zhang said.

Kuo Zhang, young asian man, talks with hands up, green background, pink and blue stage elements
Kuo Zhang, President, Alibaba.com. Shauna Clinton/Sportsfile for Web Summit/Getty

"We draw a very clear line at high-stakes operations ... any action involving financial transactions, payment execution, or access to private files requires explicit, granular permission from the user."

The launch comes less than a week after another Alibaba division introduced Wukong, an enterprise-focused agentic AI platform that can coordinate multiple AI agents. They are created to perform complex business tasks, including document editing, spreadsheet updates, meeting transcription and research, within a single interface.

Alibaba also said last week it would separate its AI businesses from its cloud computing arm.

The newly formed Alibaba Token Hub business group, led by Chief Executive Eddie Wu, is the clearest indication yet that the company is shifting its focus to digital assistants powered by AI models. These systems use more data, known as tokens, than traditional question-and-answer chatbots.

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Zhang said the high-stakes global push to define agentic AI carries inherent risks that can only be mitigated with controlled, specialised models that balance automation with security.

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"We believe the greatest risk lies in using horizontal, generalist models for vertical business tasks. By focusing on specialized B2B agents and implementing AI alongside human approval layers, we can deliver the benefits of an autonomous workforce without the traditional risks associated with unconstrained AI," he said.


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