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Alibaba targets 5-10 trillion-parameter AI model, new chip, 20GW data centers

Alibaba targets 5-10 trillion-parameter AI model, new chip, 20GW data centers
Tech · 2026
Photo · Eleanor Whitfield for Daily Digest Invest
By Eleanor Whitfield Markets Editor-in-Chief Sep 22, 2026 4 min read

Alibaba is making a bold bet on artificial intelligence, announcing plans to build a massive new AI model, develop its own chip, and dramatically expand its cloud data center capacity. The moves, revealed at the company's Apsara Conference in Hangzhou, signal that the Chinese tech giant is doubling down on AI as a core growth engine.

What Alibaba announced

CEO Eddie Wu said the next version of Alibaba's Qwen AI model would be two to four times larger than its current flagship, which has 2.4 trillion parameters. That would put the new model in the range of 5 to 10 trillion parameters. For context, parameters are the adjustable parts of an AI model that it learns from data; more parameters generally allow a model to handle more complex tasks, but they also require far more computing power and energy to train and run.

Alongside the model expansion, Alibaba rolled out a new AI chip from its semiconductor unit T-Head. The company also laid out a plan to push Alibaba Cloud's data center capacity past 20 gigawatts by 2032. A gigawatt is a billion watts—enough to power roughly 750,000 homes—so 20 gigawatts represents a massive infrastructure build-out.

Wu described this as a “full-stack” AI strategy, covering everything from the underlying chips to the models and the cloud services that deliver them to customers.

Why this matters

Alibaba's announcement is the latest sign of an intensifying global race to dominate AI. The company is competing not only with other Chinese firms but also with U.S. tech giants like OpenAI, Anthropic, and Google, all of which are pouring billions into ever-larger models and the data centers to support them. The push also comes as open-weight AI models are pulling enterprise spending away from proprietary rivals, a trend that could benefit Alibaba's Qwen family, which is open-source.

Building a 5-10 trillion-parameter model is a monumental technical and financial challenge. Training such a model requires vast clusters of specialized chips, enormous amounts of electricity, and sophisticated cooling systems. Alibaba's plan to build its own chip is partly a response to U.S. export controls that limit China's access to advanced Nvidia processors. By developing in-house hardware, Alibaba aims to reduce its dependence on foreign suppliers and secure its AI supply chain.

The 20-gigawatt data center target is equally ambitious. For comparison, the world's largest data center campuses today are measured in hundreds of megawatts. Reaching 20 gigawatts would require building dozens of massive facilities over the next decade, a capital-intensive undertaking that will test Alibaba's financial resources.

What it means for investors

For everyday investors, Alibaba's announcement is a reminder that AI is not just about software—it's also a hardware and infrastructure story. Companies that build chips, data centers, and cooling systems stand to benefit from this spending wave. AMD's recent surge past a $1 trillion valuation on AI systems demand illustrates how much investors are rewarding companies in this space.

Alibaba's move also highlights the growing importance of data centers as an asset class. Nippon Life's $12.75 billion push into U.S. data center loans shows that institutional investors see these facilities as a lucrative, long-term investment. As Alibaba expands its own capacity, it will likely need to raise significant capital, which could come from debt markets or partnerships.

For Alibaba shareholders, the plan is a double-edged sword. On one hand, a successful AI push could open new revenue streams and strengthen its cloud business, which is already a key growth driver. On the other, the enormous capital expenditures required could weigh on profits for years. Investors will be watching Alibaba's spending discipline and whether the AI investments translate into actual customer demand.

The company is also facing a competitive landscape where Anthropic is weighing the timing of its next AI model and OpenAI's GPT-6 Astra is gaining enterprise ground. Alibaba will need to execute flawlessly to keep pace.

For now, the announcement is a clear signal that Alibaba intends to be a major player in AI, not just in China but globally. Whether it can deliver on these ambitious plans remains to be seen, but the company is putting its money where its mouth is.

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