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The discounted equity sale funds a larger AI buildout, but it also raises the return threshold for a company already spending more heavily while profit has fallen.
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Alibaba is financing an AI spending ramp with equity rather than debt, offering 710 million Hong Kong-listed shares at a discount for about $10.2 billion. The decision immediately pressured the stock, with shares dropping as much as 10%, while existing holders face dilution. The raise follows a 75% increase in capital expenditure and a 75% drop in June-quarter profit.
The shares are priced at HK$112.70, an 8.4% discount to the preceding Friday close.
One estimate put the market-value loss from the selloff at roughly $20 billion; Alibaba did not disclose that figure.
June-quarter revenue rose 9%, but net profit fell 75% as capital expenditure approached $10 billion.
Alibaba plans to raise HK$80 billion, about $10.2 billion, by selling 710 million new shares for artificial-intelligence capabilities and infrastructure. Its Hong Kong shares fell as much as 10% after the offering was announced, putting the cost of that funding choice in immediate view.
The shares are priced at HK$112.70 each, an 8.4% discount to Alibaba’s preceding Friday close. Alibaba said all net proceeds will be used to expand its AI capabilities and infrastructure.
The financing gives Alibaba cash without adding debt, according to one account. But issuing new shares increases the number outstanding, which can reduce each existing shareholder’s ownership percentage and claim on future earnings. The offering price sits below the prior market close, making that trade-off concrete.
The market reaction measures neither the eventual value of the AI program nor the performance of its models. It does show that investors immediately priced the funding structure alongside the planned use of proceeds. One account estimated that the Hong Kong decline removed roughly $20 billion of Alibaba market value within hours; that figure is an estimate, not a company disclosure.
Alibaba is developing the Tongyi Qianwen large language model to compete with Baidu’s Ernie Bot and other Chinese AI companies. One source describes Alibaba’s cloud division as the expected base for AI infrastructure investment, while saying it remains unprofitable amid competition for market share.
Michael Burry’s response illustrates the split between confidence in the technology and confidence in the financing. He disclosed that he moved his entire Alibaba position into JD.com, even while calling Alibaba an impressive disruptive force and saying it was making serious inroads in low-cost large language models in the U.S. “I cannot bless share issuances,” Burry wrote.
Burry said he had initially planned to move most of the position back after a month or two but changed course after the offering. He said Alibaba would need to fall by half before he would consider buying again and predicted that its return on invested capital would continue to decline. Those are Burry’s judgments, not forecasts from Alibaba, but they sharpen the distinction between backing a company’s AI products and backing its shares at a given financing cost.
The share sale follows sharply higher spending. Alibaba’s June-quarter revenue rose 9%, while net profit fell 75% as spending accelerated. Capital expenditure rose 75% to nearly $10 billion, according to the source article.
The latest financing also arrives after a difficult stretch for the stock. Alibaba’s U.S.-listed shares fell 9% to $119.34 following its latest results, according to the account that detailed the offer, and remained more than 60% below their 2020 peak. Another account characterized the placement as one of the largest secondary offerings by a Chinese technology company since the 2021–2022 regulatory crackdown, underscoring its unusual scale.
The market move does not determine whether Alibaba’s AI strategy will succeed. It does leave a clear test: the additional capital must strengthen its AI position and eventually generate returns sufficient to justify both the heavier spending and the added equity.
Editorial analysis
Our view: Alibaba’s financing choice turns the AI buildout into a capital-allocation test as much as a technology test. The company is adding equity after capital expenditure rose 75% to nearly $10 billion and net profit fell sharply. That does not establish that the AI strategy will fail; it establishes a higher burden of proof for the returns it must produce. The next useful evidence is whether future results connect this spending to durable revenue and improved profitability, rather than simply to a larger infrastructure bill. That distinction matters across the AI infrastructure cycle, where large funding commitments are increasingly concentrated below the application layer.
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