How Alibaba Quietly Became a Leader in AI

Key Concepts

• AI Race: The global competition among companies and nations to develop and deploy advanced artificial intelligence technologies.
• Foundational Models: Large-scale AI models trained on vast amounts of data, capable of performing a wide range of tasks.
• Open-Source: Software or models that are freely available for modification, distribution, and commercial use.
• Closed Models: Proprietary AI models where access is restricted and typically sold as a service.
• Large Language Models (LLMs): AI models designed to understand, generate, and process human language.
• AI Infrastructure: The underlying hardware, software, and networking systems required to develop and run AI applications.
• Capital Expenditure: Funds used by a company to acquire, upgrade, and maintain physical assets such as property, buildings, and equipment.
• Ecosystem: A network of interconnected components, including developers, users, and applications, that support a particular technology or platform.
• AI Distribution Hub: A platform that facilitates the deployment and accessibility of AI models and tools.

Alibaba's Strategic Investment in AI

Alibaba has significantly accelerated its investment in Artificial Intelligence (AI) and its supporting infrastructure. In September 2025, the company announced a new wave of investment, building upon a prior pledge of $53 billion earlier in the year. This marks a substantial strategic shift, with Alibaba now "all in AI" at a time when AI is widely recognized as the next major technological frontier.

Alibaba's AI Journey and Evolution

Alibaba's engagement with AI began in 2016 with the establishment of its first AI lab. This initial phase of experimentation led to more fundamental research and development, culminating in the creation of the DAMO Academy in 2017-2018, an important research institute. The pace of development accelerated during the COVID-19 pandemic years (2019-2021), during which Alibaba focused on building its own foundational models and proprietary chips.

The launch of ChatGPT in late 2022, which rapidly gained one million users in under a week, served as a significant catalyst, intensifying the global AI race. In response, Alibaba established a world-class AI research lab and began investing in startups aimed at fostering China's AI capabilities.

The appointment of Eddie Wu as CEO less than a year prior to the transcript's context solidified Alibaba's commitment to its AI-centric reinvention. Wu's initial communication to employees emphasized a return to a startup mindset with two core strategic priorities: "user first" and "AI-driven." Following his appointment, Alibaba's quarterly capital expenditure more than doubled over the subsequent 15 months, reflecting a ramp-up in investments in AI infrastructure and cloud services. Concurrently, the company divested non-critical businesses to reallocate resources towards its new AI initiatives.

Key AI Products and Platforms

Alibaba has developed a suite of successful AI products and platforms:

• Qwen: This is Alibaba's family of large language models (LLMs) capable of understanding text, answering questions, translating languages, and processing images. Qwen is positioned as comparable to the models underpinning OpenAI's ChatGPT. A key differentiator is that Qwen is open-source, allowing developers to modify, redistribute, and use the models for commercial purposes without charge. This contrasts with the predominantly closed-model approach in the US, which often involves selling access. The open-source nature of Qwen fosters a broader ecosystem of adoption and development.
• Qwen 2.5 and Qwen3: Following the release of DeepSeek's R1 model in early 2025, Alibaba's Qwen team rapidly developed and released Qwen 2.5 by January 28, 2025, matching DeepSeek's capabilities. In April 2025, Alibaba launched Qwen3, its most advanced model to date.
• Quark: This AI assistant app is powered by Qwen and boasts nearly 150 million monthly active users. Quark functions as an "AI toolbox" for business use, described as an "operating system for life" driven by intelligent algorithms, acting as a virtual assistant to help users accomplish tasks.
• ModelScope: Alibaba's equivalent of an AI app store, ModelScope provides developers and researchers with access to hundreds of pre-trained models that can be customized. This platform aims to simplify the integration of AI into businesses without requiring them to build from scratch. ModelScope hosts 16 million developers and thousands of models, underscoring Alibaba's commitment to the open-source approach for rapid ecosystem expansion.
• Aliyun (Alibaba Cloud): Alibaba's cloud platform has been transformed into an AI distribution hub. Businesses can leverage Aliyun to run Qwen and other models, powering applications like chatbots. Alibaba is actively positioning Aliyun as a significant competitor to Amazon Web Services (AWS) and Microsoft Azure.

Competitive Landscape and Market Position

Alibaba is recognized as a serious contender in the global AI race, though its rise has received less public attention than rivals like OpenAI or DeepSeek. The transcript notes that DeepSeek has shifted perceptions of Chinese AI development, moving away from viewing them as inferior versions of Western models.

In terms of model performance, Alibaba is considered closer to Amazon than to OpenAI or Microsoft. However, the transcript emphasizes that success in AI is not solely determined by model performance but by scale, adoption, and the ability to solve real-world problems. Chinese companies, and Alibaba in particular, are highlighted as being adept at these aspects.

Financial Performance and Investment Outlook

A Morgan Stanley report from May 2025 projected that AI investments in China could yield returns of 52% by 2030. Alibaba is already experiencing positive financial outcomes from its AI investments. In August 2025, its Cloud Intelligence Group reported a 26% year-on-year revenue increase, with AI-related projects achieving triple-digit growth for eight consecutive quarters.

Strategic Advantages and Future Outlook

Alibaba's significant AI investment is occurring at a strategic juncture, leveraging its strong existing foundation, a popular open-source model (Qwen), successful on-the-ground applications across China, and ongoing collaborations with local governments and universities to establish AI labs.

A key challenge for Alibaba's cloud business outside of China is the intense competition. The substantial investment in AI is intended to accelerate growth in this area.

Industry Partnerships and Real-World Applications

Alibaba's credibility in the AI space is being bolstered by industry partnerships. Notably:

• BMW: An agreement to integrate Qwen LLMs into BMW's intelligent vehicles, with launches expected in 2026. These partnerships are crucial for developing deep expertise and highly specialized models for complex industries like automotive.
• Apple: A potential deal that could bring Alibaba's AI capabilities to iPhones within China.

These collaborations are vital for securing market share and ensuring that Alibaba's AI solutions are integrated into global organizations, preventing them from falling solely into the hands of competitors.

Conclusion

Alibaba is actively participating and emerging as an important player in the global AI race, aligning with China's vision of dominating AI by 2030. The company's strategic investments, open-source approach, robust product ecosystem, and growing industry partnerships position it as a significant force in the evolving AI landscape.