2026-08-25

Alibaba (BABA) Sinks 8.6% on $10.2 Billion AI Share Sale - Third Big Tech Name to Fund AI Through Equity After Alphabet, Intel

Written & reviewed by the TradeSmrt editorial team · 2026-08-25

In this article

What Happened
Why This Matters for US Markets: The Third Big Tech Name to Fund AI With Equity
What to Take Away From This
FAQ
Sources

What Happened

Alibaba Group's US-listed American Depositary Receipts (NYSE: BABA) fell 8.6% on Monday, August 24, closing at $119.34, down sharply from Friday's $130.57 close. The Hong Kong-listed shares fell a similar 8.5% on heavier volume, and the Hang Seng Tech Index, which is dominated by mainland Chinese tech names, dropped 3.86% on the day.

The selloff was triggered by a capital raise Alibaba unveiled after Friday's close: a HK$80 billion (roughly $10.2 billion) share placement in Hong Kong, priced at HK$112.70 per share for 710 million new shares - a 3.6% discount to Friday's closing price. It stands as the largest primary follow-on share offering ever completed by a Hong Kong-listed company, and Bloomberg reported that institutional demand ran roughly three times the shares on offer. Alibaba said it intends to funnel 100% of the net proceeds into what it calls "full-stack" AI capabilities - spanning chips, data center infrastructure, and AI model development.

Timing made the announcement land harder than it otherwise might have. It arrived only days after Alibaba reported a 75% year-over-year drop in net income for its June-quarter results, driven largely by AI-related spending. Capital expenditure in that same quarter jumped 75% to 67.7 billion yuan. There were genuine bright spots buried in those numbers - AI Cloud and Compute Services revenue rose 45% year-over-year to $7.1 billion, and adjusted cloud EBITA surged 133% to $830 million - but the market's read was that a company already burning heavily through AI capex was now asking shareholders to underwrite even more of it through dilution, rather than funding it from operating cash flow.

Adding to the unease: Michael Burry, the investor made famous by his subprime-mortgage short before the 2008 financial crisis, disclosed through his fund Scion Asset Management that he had liquidated his entire Alibaba position, and reportedly voiced specific skepticism about the HK$80 billion raise itself. A prominent short-seller publicly exiting a stock right after it announces a record capital raise is the kind of detail that tends to amplify an already-nervous market reaction, even though 13F-style disclosures are backward-looking and don't necessarily reflect a fund's current positioning.

Why This Matters for US Markets: The Third Big Tech Name to Fund AI With Equity

Alibaba is a Chinese company, but BABA trades as a US-listed ADR that American retail and institutional investors buy and sell directly on the NYSE - and this story fits into a pattern that has become increasingly visible across US-listed Big Tech in the second half of 2026.

Alphabet (NASDAQ: GOOGL) went first. Back in June, Alphabet unveiled a large equity capital program to fund AI infrastructure expansion, anchored by a $10 billion private placement from Berkshire Hathaway alongside a separate $40 billion at-the-market offering facility - and paired it with a hike in 2026 capex guidance to a range of roughly $195-205 billion, up from $180-190 billion. Intel (NASDAQ: INTC) came next: as covered on this site on August 20, Intel raised $20 billion in its first major equity offering since going public in 1971, and the deal was oversubscribed. Alibaba's $10.2 billion raise this week makes it the third major global primary follow-on offering of 2026 explicitly justified by the need to fund AI infrastructure.

The pattern carries a clear signal for anyone watching US markets: the scale of AI infrastructure spending has now grown large enough that even the biggest tech companies increasingly can't fund it purely out of operating cash flow. Broadly, a company has three ways to pay for a capital-intensive buildout - reinvest cash it's already generating, borrow through debt, or issue new equity. Debt carries fixed obligations: interest payments and maturity dates that become dangerous if the payoff from AI investment arrives slower than expected. Equity carries no such fixed schedule, but it comes at the cost of diluting existing shareholders' claim on future profits every time new shares hit the market. That Alphabet, Intel, and now Alibaba have all reached for equity rather than debt to fund AI buildouts suggests these companies see debt-financed AI capex as carrying more risk than the dilution cost of issuing stock - a read on how confident (or not) management teams are about the near-term predictability of AI returns.

The timing is also notable: Alibaba's raise landed just ahead of Intuit's earnings today, August 25, and Nvidia's earnings tomorrow, August 26 - a week already being watched closely for signs of whether AI infrastructure demand justifies the spending being poured into it. If Nvidia's results and guidance beat expectations meaningfully, that tends to validate the broader AI capex story that Alphabet, Intel, and Alibaba are all betting on. A disappointing print, by contrast, would give more weight to the skepticism Michael Burry and others have voiced about funding AI expansion through repeated share dilution.

What to Take Away From This

A large capital raise tends to hit a stock in the short run regardless of the stated purpose. Even when the proceeds are earmarked for a credible growth story like AI infrastructure, new share issuance immediately dilutes existing holders, so markets react first to the size of the deal and the discount at which it priced. Alibaba's 3.6% pricing discount was modest on its own, but combined with a 75% profit decline reported days earlier, the stock took a much larger hit.
Reading single-company news alongside sector-wide financing trends adds context. Alphabet, Intel, and Alibaba all turning to large equity raises in the same year is a useful signal that AI infrastructure costs are becoming structurally too large for even mega-cap operating cash flow to fully cover - not just an isolated decision by one company.
A high-profile investor's exit is a data point, not a signal on its own. Michael Burry's full exit from Alibaba generated headlines, but position disclosures are often backward-looking and may not reflect a fund's current stance. What's more useful here is that a well-known investor publicly criticized the specific financing method - repeated equity dilution - which offers a read on market sentiment rather than a standalone buy or sell signal.
When more companies choose equity over debt to fund growth, track free cash flow, not just revenue growth. Repeated equity raises can indicate that operating cash flow isn't keeping pace with capital needs, so checking the cash flow statement alongside top-line growth numbers is worth the extra step.

FAQ

Alibaba is a Chinese company - why did its US-listed stock react so strongly?

Alibaba is dual-listed in Hong Kong and New York, and US investors trade the company directly through its NYSE-listed American Depositary Receipt, BABA. Because the Hong Kong share placement dilutes the underlying shares that each ADR represents, the news flowed through to the New York-listed stock just as directly as it did to the Hong Kong-listed shares.

Why are Alphabet, Intel, and Alibaba all choosing equity instead of debt to fund AI spending?

Equity financing avoids the fixed interest payments and maturity deadlines that come with debt, which matters when the payoff timeline for AI investment is still uncertain. Many companies view that flexibility as worth the tradeoff of diluting existing shareholders, especially when they're not fully confident AI returns will materialize on a predictable schedule.

Does this have any direct effect on Nvidia's earnings or other US AI stocks?

There's no direct mechanical link, but the broader pattern - Big Tech increasingly funding AI buildouts through share dilution rather than cash flow - adds to investor scrutiny of the overall AI investment cycle. Against that backdrop, Nvidia's August 26 earnings report is being watched as an important test of whether real AI demand is strong enough to justify the scale of spending these equity raises are funding.

Sources

This article is an original synthesis and analysis based on the reporting below, not a reproduction of the original articles. Please check the source articles directly for the most current figures.

⚠️ This article is for informational purposes only and is not investment advice. Market conditions change constantly - always verify the latest data before making investment decisions.