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Alibaba consolidates AI teams into new Token Foundry unit

Alibaba consolidates AI teams into new Token Foundry unit
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๐Ÿ‡ญ๐Ÿ‡ฐRead original on SCMP Technology

๐Ÿ’กAlibaba's major AI restructuring signals a push for faster commercialization of its proprietary models.

โšก 30-Second TL;DR

What Changed

Token Foundry consolidates key model-development teams including Tongyi Lab and Future Life Lab.

Why It Matters

This restructuring suggests Alibaba is shifting from experimental AI research to a more aggressive, unified product-focused commercialization phase. Expect faster integration of proprietary models into Alibaba's core e-commerce and cloud ecosystems.

What To Do Next

Monitor the Alibaba Cloud platform for new API releases or SDK updates emerging from the newly formed Token Foundry division.

Who should care:Enterprise & Security Teams

Key Points

  • โ€ขToken Foundry consolidates key model-development teams including Tongyi Lab and Future Life Lab.
  • โ€ขThe new unit is designed to streamline AI commercialization and unify Alibaba's internal AI strategy.
  • โ€ขCEO Eddie Wu will take direct control of the division, signaling its strategic importance to the company.

๐Ÿง  Deep Insight

Web-grounded analysis with 24 cited sources.

๐Ÿ”‘ Enhanced Key Takeaways

  • โ€ขThe establishment of Token Foundry is a further evolution of Alibaba's AI restructuring, following the creation of the Alibaba Token Hub (ATH) business group in March 2026, which also aimed to consolidate AI capabilities under CEO Eddie Wu.
  • โ€ขThe 'Token' in Token Foundry represents a strategic shift towards encapsulating AI capabilities, data permissions, compute orchestration, and user feedback into 'digital tokens' that are transferable, verifiable, and composable.
  • โ€ขFuture Life Lab, now integrated into Token Foundry, previously developed consumer-facing projects such as Happy Horse, a video-generation model, and Happy Oyster, an open-world AI model.
  • โ€ขAs part of this restructuring, Zhou Jingren has been appointed Alibaba's Chief Scientist and will lead a newly established Alibaba AI Future Research Institute, focusing on frontier AI research and next-generation technological breakthroughs.
  • โ€ขAlibaba's AI business has transitioned from an initial investment phase into full-scale commercialization, with a projected AI revenue of 30 billion yuan (US$4.41 billion) in 2026, and AI agents expected to contribute over half of cloud sales.

๐Ÿ› ๏ธ Technical Deep Dive

  • Alibaba's Qwen large language models are a cornerstone of its open-source AI strategy, having surpassed 1 billion cumulative downloads.
  • The Qwen family includes various model sizes optimized for different use cases, supporting multiple languages (with particular strength in Chinese and English), and encompassing language, multimodal, mathematical, and code models.
  • Specific models include Qwen-7B (the first open-source LLM released in August 2023), Qwen-VL (a vision-language model), Qwen3-Omni (a fully multimodal model accepting text, images, video, and audio inputs, and generating text and speech), Qwen-Audio, Qwen3-TTS (text-to-speech), and Qwen3-Coder (a code-specialized variant).
  • Alibaba has also introduced Qwen3.5-Omni and Qwen3.6-Plus, advanced AI models capable of real-time understanding across multiple data types and languages.
  • The Tongyi DeepResearch project, developed by Tongyi Lab, utilizes a 30.5B Mixture-of-Experts (MoE) architecture with approximately 3.3B parameters active per token ('A3B'), balancing efficiency with a large expert pool for reasoning, and features a context length of 128k.
  • Alibaba's chip design subsidiary, T-Head, develops proprietary GPUs that support end-to-end AI workloads, from training and fine-tuning to inference, contributing to Alibaba's full-stack AI ecosystem.

๐Ÿ”ฎ Future ImplicationsAI analysis grounded in cited sources

Alibaba will intensify its focus on enterprise AI solutions and AI agents.
The consolidation under Token Foundry, the emphasis on 'creating, delivering, and applying tokens,' and the launch of platforms like Wukong (an enterprise AI agent platform) indicate a strong push towards commercializing AI for business workflows.
Alibaba's significant AI investments will continue to impact its short-term profitability while aiming for substantial long-term revenue growth.
The company has stated it is prioritizing long-term growth over near-term margins, with increased spending on AI and cloud infrastructure weighing on profitability, but forecasting significant AI revenue by 2026.
Alibaba aims to establish itself as China's leading full-stack AI provider, encompassing hardware, infrastructure, models, and applications.
The company's ecosystem spans proprietary T-Head chips, cloud infrastructure, model-as-a-service platforms, and Qwen foundation models, with executives explicitly stating the goal to be a full-stack AI provider.

โณ Timeline

2014
Alibaba Group founded the Institute of Data Science & Technologies (iDST), initiating core AI technology R&D.
2017-10
DAMO Academy was officially established, committing over US$15 billion in R&D and opening seven global research labs.
2022
Tongyi Lab was officially established, and the Qwen project was launched.
2023-04
The Tongyi Qwen large language model was officially released.
2023-08
Qwen-7B, the first open-source model in the Qwen series, was released.
2026-03
Alibaba established the Alibaba Token Hub (ATH) Business Group, consolidating AI capabilities under CEO Eddie Wu.
2026-04
Alibaba formed a group-level AI technology committee led by CEO Eddie Wu, and Tongyi Lab was upgraded to the Tongyi Large Model Business Unit.
2026-06
Alibaba launched 'Token Foundry,' merging the Tongyi Large Model Business Unit and Future Life Lab, directly led by CEO Eddie Wu.
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Original source: SCMP Technology โ†—