Alibaba announced on August 23 its plan to place 710 million new shares to non-U.S. investors outside the United States at HK$112.70 per share, targeting approximately HK$80 billion in gross proceeds. The company stated 100% of the raised capital will be allocated to AI infrastructure buildout. This marks the first new share placement since Alibaba's Hong Kong listing in 2019 and ranks among the largest equity offerings globally this year.

Following the announcement, Alibaba's U.S.-listed shares plunged over 8% in pre-market trading, while the Hong Kong-listed stock tumbled as much as 10% at today's open. Most market commentary frames this move as Alibaba's decisive all-in commitment to AI leadership. However, when examined alongside the company's recently released earnings report, the narrative becomes considerably more complex.

With billions in cash sitting on its balance sheet, the critical question emerges: why would Alibaba avoid deploying its own capital for AI spending, instead diluting existing shareholders and seeking HK$80 billion from the market? The answer may reveal more about the company's strategic constraints than its ambitions.

Alibaba's latest quarterly results show revenue of RMB 268.95 billion, up 9% year-over-year. Yet the profitability picture tells a starkly different story. Net profit attributable to ordinary shareholders plummeted approximately 76% to just RMB 10.54 billion, while capital expenditures surged 75% to RMB 67.68 billion. Free cash flow swung to a net outflow of roughly RMB 44.67 billion during the same period.

This divergence—profits collapsing over 70% while spending balloons over 70%—is fundamentally driven by AI investments. The massive capital demands of AI infrastructure are rapidly consuming the majority of profits generated by Alibaba's traditional e-commerce operations. While Alibaba Cloud maintains strong growth with quarterly revenue reaching RMB 48.44 billion, up 45% year-over-year, and AI-related product revenue continues climbing, the core question persists: can AI revenue growth outpace the escalating AI cost structure? Based on current financial data, the outlook appears challenging.

Historically, Alibaba's e-commerce foundation supported its entire ecosystem—retail, local services, logistics, and cloud computing all relied on robust cash flow from the core business. That dynamic has now inverted. The main business faces earnings pressure while AI operations demand sustained heavy investment with accelerating cost growth. Free cash flow has turned negative, and the company's self-generated capital is increasingly insufficient to cover its extensive capital expenditure program.

Large-scale computing power procurement, continuous data center construction, and iterative chip and model development have pushed AI operations into a burn cycle characterized by high revenue, thin margins, and heavy investment. Despite AI's appearance as a lightweight software revolution, its reality is an expensive infrastructure arms race. Everyone recognizes AI's strategic importance, but strategic significance does not automatically translate into profitability.

Many investors question why Alibaba, with ample cash reserves, would seek equity financing rather than utilizing credit facilities, bond issuance, or its own funds. Equity placement stands as the most expensive financing option, carrying the most significant dilution impact on existing shareholders. Debt financing merely requires periodic interest payments and principal repayment at maturity; equity financing creates permanent dilution, requiring future profits, dividends, and valuation gains to be shared with new shareholders indefinitely.

The true cost of this placement to existing shareholders has been understated in market discussions. The placement price of HK$112.70 represents an 8.3% discount to the Hong Kong closing price and a 3.6% discount to the U.S. ADS price, effectively offering new investors preferential terms. This new issuance will permanently dilute existing shareholders by approximately 3.8%.

By choosing to sacrifice existing shareholder interests and absorb negative capital market sentiment rather than deploying its own substantial cash reserves or modestly increasing leverage, Alibaba sends a clear signal: the AI competition is not a short-term battle but a prolonged capital-intensive war requiring continuous investment. With AI returns remaining uncertain in timing and magnitude, the company is effectively distributing this long-term risk across secondary market investors.

Some industry observers argue this move should not be simplistically equated with harming existing shareholder interests. Equity placements represent routine capital operations, and companies raising funds for long-term growth initiatives is legitimate. The real question requiring scrutiny: can this capital generate returns exceeding the cost of dilution? If the HK$80 billion deployed into AI yields profits that cover this capital cost, the current dilution holds value. Conversely, if AI commercialization underperforms expectations and industry competition intensifies, extending the profitability timeline, Alibaba may initiate multiple additional rounds of dilution—leaving existing shareholders to continuously fund this long-term AI wager.

Notably, renowned investor Michael Burry, the inspiration for the film "The Big Short," has publicly disclosed liquidating his Alibaba holdings and repositioning into e-commerce competitor JD.com. He expressed skepticism about Alibaba's new share placement and believes the current valuation is already stretched.

Alibaba's predicament reflects the broader challenge facing major internet companies in their AI transformations: everyone must invest aggressively, no one dares to pause, yet no one has cracked the profitability model. Competitor Tencent faces a similar situation. Capital markets can tolerate short-term losses, strategic spending, and periodic profit declines from technology giants—but this tolerance has limits: markets demand a clear path to profitability.

Alibaba's current dilemma is evident: AI business growth metrics remain impressive, strategic narratives grow increasingly ambitious, but the segment has yet to contribute positively to group profits. Instead, it continues eroding core business earnings and weighing on free cash flow. Whether this HK$80 billion converts into substantial commercial returns remains undetermined. One fact, however, is already clear: previously, AI-related risks were borne primarily by Alibaba itself; following this placement, part of that risk transfers to new secondary market investors, while existing shareholders also absorb dilution losses.

Looking ahead, the market's core question for Alibaba remains singular: after continuous hundred-billion-scale investments and repeated equity dilution, when will the AI business transition from losses to profitability? If profit realization remains distant, each strategic financing round may ultimately become an expensive bill that drags on valuation and overextends long-term development prospects.