Alibaba Raises $10.2B for AI Expansion
By Business Desk
Alibaba Group plans to raise $10.2 billion via a share sale to boost its global AI capabilities and infrastructure, marking Hong Kong’s largest follow-on offering.
Alibaba Group Holding Ltd. will raise approximately HK$80 billion ($10.2 billion) through a significant share sale, aiming to strengthen its position within the global artificial intelligence sector. The company is offering 710 million shares at HK$112.7 each, reflecting a 3.6% discount compared to the closing price of its American depositary receipts on Friday.
This transaction marks Hong Kong’s largest follow-on offering by a company on record, and the most substantial share sale in the city since 2021. The proceeds are specifically intended for investment in full-stack AI capabilities, including the expansion and enhancement of its infrastructure.
Key Financial Details
- Total Funds Raised: HK$80 billion ($10.2 billion)
- Shares Offered: 710 million
- Price Per Share: HK$112.7
- Discount to ADR Close: 3.6%
- Quarterly Capital Spending: approaching $10 billion
- June Quarter Profit Decline: over 75% to 10.5 billion yuan ($1.6 billion)
- Free-Cash Outflow: $6.6 billion
Alibaba’s quarterly capital spending is nearing $10 billion, a direct consequence of its aggressive AI initiatives. The company’s profit for the June quarter saw a steep decline of over 75%, settling at 10.5 billion yuan ($1.6 billion).
This profit reduction, alongside a $6.6 billion free-cash outflow, is largely attributed to the increasing costs associated with AI projects and computing infrastructure. The deal, arranged by China International Capital Corp., HSBC Holdings Plc, Morgan Stanley, and UBS Group AG, includes a 90-day lockup period for Alibaba.
Alibaba has emerged as a global leader in AI, with its flagship Qwen offering recognized as the most popular model family worldwide. As a dominant player in China’s cloud computing market, Alibaba is directing substantial capital towards chips, data centers, and the development of large-language models.