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Alibaba restructures to accelerate global AI and Infrastructure expansion

อาลีบาบาปรับทัพครึ่งปีหลัง 2569 ขยายโครงสร้างพื้นฐานและโมเดล AI ทั่วโลก

Alibaba has reported its operational milestones for the first half of 2026, detailing advancements in its artificial intelligence (AI) strategy and foundational infrastructure to support long-term growth.

As enterprise demand shifts from early-stage experimentation to large-scale AI adoption, Alibaba has streamlined its core AI operations, updated its model offerings, and expanded its international infrastructure. Alibaba Cloud now operates 105 availability zones across 32 regions globally. The company maintains a full-stack architecture comprising proprietary chips, cloud infrastructure, foundation models, and applications.

Organizational Restructuring: Establishment of Alibaba Token Hub

In March, Alibaba established the Alibaba Token Hub (ATH) Business Group under Chief Executive Officer Eddie Wu, unifying its Tongyi Laboratory, MaaS (Model-as-a-Service) Business Line, Qwen Business Unit, Wukong Business Unit and AI Innovation Business Unit.

As a move to bring its core AI teams and products together under one umbrella, ATH is organized around a single organizing mission: to create, deliver, and apply tokens.

Mid-Year AI Model Updates

Alibaba introduced and updated several AI models during the first half of the year:

  • Qwen3.7-Max (May 2026): A next-generation large language model (LLM) featuring advanced agentic coding, complex reasoning, and long-horizon task execution. Data from Artificial Analysis indicates that its performance matches top global systems and outperforms leading Chinese models.
  • HappyHorse 1.1 (June 2026): A video generation model updating the April version (HappyHorse 1.0) with improved motion realism, consistency, and visual quality. It is currently utilized in short-form content, advertising, brand marketing, and gaming cinematics.
  • HappyOyster 1.0 (June 2026): An interactive world model featuring environmental interaction, expanded controls, and rewindable storylines, designed to accelerate the production of interactive films, games, and visual experiences.

Qwen Ecosystem and Enterprise Platform Expansion

  • Qwen App: Upgraded in January 2026, this consumer AI assistant integrates Taobao, Alipay, Fliggy, and Amap into a single conversational interface to manage shopping, payments, travel, and navigation.
  • Qwen Glasses: Unveiled at MWC Barcelona, these smart glasses feature real-time translation, HD capture, transcription, visual recognition, and payments. In China, the hardware supports voice-activated food ordering and ride-hailing.
  • Wukong Platform: Launched in March 2026, this enterprise-grade agentic platform manages complex, multi-step workflows to automate autonomous enterprise operations.

US$53 billion Global Infrastructure Expansion

As part of a US$53 billion commitment to AI infrastructure, Alibaba Cloud expanded its footprint by opening new data centers in Japan, Malaysia, France, and Mexico, bringing its total to 105 availability zones across 32 regions.

These facilities offer a suite of enterprise-grade cloud computing and AI services. The infrastructure complies with local regulatory frameworks and standards concerning cybersecurity, resilience, data privacy, and data sovereignty.

Applications in Healthcare and Agriculture

  • Healthcare: In early 2026, the Alibaba DAMO Academy launched two AI-powered screening tools: MAOSS for the early detection of fatty liver disease, and COCA for colorectal cancer screening, both reporting high diagnostic accuracy.
  • Agriculture: Alibaba Cloud partnered with Muyuan Group, a livestock farming company, to develop an intelligent swine-farming AI model. Utilizing Alibaba’s Qwen LLM and computing infrastructure, the partnership automates operational areas including feed nutrition, breeding stock improvement, and livestock management.

Moving forward, Alibaba plans to build on its first-half momentum to drive industry-wide AI applications, expand its global reach, and continue AI-driven growth.

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