Chinese tech giant Alibaba has announced a massive placement of 710 million new shares on the Hong Kong Stock Exchange. The total amount raised will be HK$80 billion, equivalent to $10.2 billion. This is not just another round of financing — the corporation has clearly outlined its strategic direction: all proceeds will be directed toward the development of artificial intelligence, covering the full spectrum — from computing infrastructure and the development of its own chips to building models and applied solutions.
The placement price is set at HK$112.70 per share, implying a discount of 8.4% to the closing price on August 21. The deal is expected to close on August 26, subject to standard conditions. It is important to emphasize the scale of the operation: this is the largest secondary offering among all public companies in Hong Kong in 2026 and the third largest in the world — after similar moves by Alphabet and Intel.
Demand exceeded supply threefold
The market showed exceptional interest in the placement. Total demand reached approximately $28 billion, nearly three times the size of the offering. Particularly telling is that about $6 billion came from long-term and sovereign investors. Among the participants, according to my data, are the Qatar Investment Authority, Norway's Norges fund, and Hillhouse Capital, although no official confirmation from these organizations has been received yet.
The new shares will correspond to approximately 3.6% of the company's increased share capital. This inevitably led to dilution of existing stakes, which triggered a negative market reaction: on August 24, Alibaba's shares in Hong Kong fell by 10.5%, although losses later narrowed to roughly the size of the placement discount.
Financial realities: costs rise, profits fall
The key question currently on investors' minds is the return on rapidly growing AI spending. The numbers are striking: for April-June, Alibaba's capital expenditures grew by 75% year-on-year, reaching 67.68 billion yuan (about $10 billion). The main driver is the development of AI infrastructure and the purchase of processors. At the same time, net profit for the same period fell by 75%.
However, there are also encouraging signals. Revenue from the AI Cloud and Compute Services division jumped by 45% — to 48.44 billion yuan ($7.1 billion). Revenue directly from AI products exceeded $1.8 billion, demonstrating triple-digit growth rates for the twelfth consecutive quarter. This confirms that monetization of the AI segment is progressing at an active pace, although it does not yet offset overall investment costs.
Strategy: proprietary chips and long-term payback
The new placement complements the previously announced investment program in AI and cloud infrastructure of at least 380 billion yuan ($56.5 billion) over three years. By August, the company had already utilized nearly half of this budget. Corporation head Eddie Wu explains the acceleration of spending by the need to build computing capacity in advance to meet future demand.
"To benefit from future growth, we first need to make these capital investments and build the necessary computing capacity," he said during the quarterly conference call.
Alibaba expects a return on investment in about three years, and with improved margins — in two and a half. The key tool for reducing costs should be the transition to its own T-Head processors, whose share in data centers will grow. This should increase gross margin and overall profitability of the AI segment.
Global context: China still lags behind
Despite the scale of the placement, Chinese tech giants significantly trail their American competitors in terms of AI investment volume. Combined capital expenditures of Microsoft, Amazon, Alphabet, Meta, and Oracle by the end of July reached $791 billion, while those of ByteDance, Alibaba, Tencent, and Baidu — only $118 billion. The reason for the gap is US export restrictions on advanced Nvidia accelerators, which forces Chinese developers to more actively create their own solutions and optimize models for smaller computing resources.
Alibaba is betting on a multi-layered strategy: its own T-Head chips, cloud infrastructure, the Qwen family of open models (over 3 billion downloads), and consumer AI products. An additional step was the sale of its gaming division Lingxi Games to Trustar Capital fund for at least $1.5 billion — a clear signal of business restructuring in favor of AI.
My assessment: Alibaba's placement is not just capital raising, but a strategic maneuver in the context of the global AI race. Investors should closely monitor the dynamics of AI segment profitability: if the company can confirm its stated payback timelines and the effectiveness of its own chips, the current share dilution may prove to be a justified price for future leadership. However, high cost levels and pressure on profits will keep stock volatility elevated in the medium term.