Alibaba is turning to the stock market to finance an artificial intelligence expansion that is already reshaping the company’s finances. The Chinese technology group has launched an HK$80 billion share placement, worth about US$10.2 billion, with all net proceeds earmarked for its artificial intelligence capabilities. The move is significant not simply because of its size, but because it shows how quickly the economics of artificial intelligence are forcing established technology companies to redirect capital toward computing infrastructure, chips and advanced models.

The share sale comes only days after Alibaba reported a sharp fall in quarterly profit as capital expenditure surged. Revenue continued to grow, and its cloud business benefited strongly from demand for artificial intelligence computing and services, but the cost of building the infrastructure needed to capture that demand is rising rapidly. Alibaba is therefore attempting to solve a fundamental problem facing technology companies globally: artificial intelligence may represent a huge future market, but capturing that market requires enormous spending before the eventual returns are fully visible.

The proposed placement is the largest primary follow-on share offering by a Hong Kong-listed company, according to the reported transaction details. Alibaba plans to issue 710 million ordinary shares at HK$112.70 each, representing a discount to the company’s previous closing price. Strong investor demand reportedly allowed the company to increase the size of the offering, indicating that investors remain willing to finance its artificial intelligence strategy despite the immediate pressure on earnings.

Alibaba Is Raising Capital Because AI Has Become Capital Intensive

Alibaba’s decision needs to be viewed against the scale of its existing artificial intelligence programme. The company announced in February 2025 that it planned to invest at least 380 billion yuan, or about US$53 billion at the time, over three years in artificial intelligence and cloud infrastructure. That commitment was larger than the company’s total spending on those areas during the previous decade.

The spending is not limited to training artificial intelligence models. Alibaba is pursuing what it calls a full stack strategy that covers computing infrastructure, proprietary chips, foundation models and applications. This approach requires capital at several levels simultaneously. Data centres require land, power, cooling systems and networking equipment, while advanced models require computing capacity and continuous research and development. Proprietary chips add another layer of investment but can potentially reduce dependence on external suppliers over time.

The latest fund raising suggests that Alibaba wants to accelerate this programme rather than rely entirely on internally generated cash. That is an important distinction because the company has historically generated substantial cash from its established commerce businesses. The decision to issue new shares indicates that management sees the opportunity cost of moving more slowly in artificial intelligence as potentially greater than the dilution associated with raising external capital.

Alibaba’s recent results explain the urgency. Capital expenditure rose sharply in the latest quarter, while net profit fell about 75 percent from a year earlier. At the same time, revenue increased and artificial intelligence and cloud computing became increasingly important contributors to growth. The company has said the expected payback period on its artificial intelligence investments is improving as demand accelerates, suggesting that management believes the current spending surge can eventually produce strong returns.

Cloud Growth Is Providing Evidence For The Strategy

The strongest argument supporting Alibaba’s spending is the performance of its cloud business. Alibaba Cloud’s revenue increased 45 percent in the latest quarter, its strongest growth in more than five years, while artificial intelligence related revenue has recorded rapid growth for twelve consecutive quarters. The company says artificial intelligence and cloud computing are becoming a central growth engine rather than remaining an experimental investment.

That distinction matters because artificial intelligence spending is often criticised when companies invest heavily without generating corresponding revenue. Alibaba has at least begun demonstrating a direct commercial relationship between investment and demand. Enterprises need computing capacity to train and operate models, and businesses adopting artificial intelligence applications require cloud infrastructure to deploy them. Alibaba can therefore potentially earn revenue from several stages of the artificial intelligence value chain rather than relying solely on the success of one model.

The company’s full stack strategy is designed around this opportunity. Its proprietary chips can support its own cloud infrastructure, its foundation models can generate demand for computing services, and its cloud platform can distribute those models to enterprise customers. If the different layers reinforce each other, Alibaba can capture revenue even when the competitive position of individual artificial intelligence models changes.

The strategy also reflects a broader shift in the economics of artificial intelligence. As models become more widely used, inference, or the computing required to respond to users, becomes a major source of demand. Alibaba executives have said that demand for computing is continuing to exceed available supply, making additional infrastructure a potentially productive investment rather than simply an expense required to develop future products.

The Funding Push Also Reveals The Risks

The strongest criticism of Alibaba’s strategy is not that artificial intelligence lacks commercial potential. It is that the industry is becoming extraordinarily expensive before the long-term economics are fully established. Building data centres, buying advanced processors and developing competitive models requires enormous capital, while technology cycles remain extremely short.

Alibaba is therefore making a large bet that demand for artificial intelligence computing will continue to grow rapidly enough to justify the infrastructure being built today. If demand expands as expected, additional capacity could become a valuable productive asset. If model efficiency improves dramatically or computing requirements grow more slowly than anticipated, some of that investment could generate weaker returns.

The risk is particularly important because artificial intelligence hardware can become obsolete quickly. Data centres have long useful lives, but the processors and networking technologies inside them evolve rapidly. Companies must therefore balance the need to build capacity today against the possibility that newer and more efficient technology could change the economics of computing within a few years.

Alibaba’s own financial results show the immediate cost of this transition. Its latest quarterly profit declined sharply even though revenue increased, largely because the company is spending heavily on infrastructure and technology. That means investors are being asked to accept lower near-term profitability in exchange for the possibility of substantially larger future revenue from artificial intelligence and cloud services.

China’s AI Race Makes Slower Spending Difficult

Alibaba’s spending decisions also cannot be separated from China’s broader artificial intelligence competition. Chinese technology companies are investing heavily in models, chips and computing infrastructure as the country attempts to build a more self-reliant artificial intelligence ecosystem.

The strategic importance of domestic computing has increased because American export controls have restricted China’s access to some advanced semiconductor technologies. This has encouraged Chinese companies to develop domestic alternatives and integrate their own hardware more closely with software and cloud platforms. Alibaba’s investment in proprietary artificial intelligence chips is therefore partly a commercial strategy and partly a response to a technology environment in which access to foreign hardware cannot be taken for granted.

The company has already moved further toward domestic computing infrastructure. Alibaba Cloud recently introduced a high-performance artificial intelligence computing service based on its own Zhenwu processors, demonstrating an attempt to provide large-scale computing using Chinese-developed hardware. Such developments could reduce reliance on imported technology, although the performance and economic competitiveness of domestic systems remain important variables.

This competitive environment creates pressure on Alibaba to spend even when the immediate financial returns are uncertain. If rivals build computing capacity faster, develop stronger models or secure more enterprise customers, Alibaba risks losing market share that could be difficult to recover later.

The Share Sale Transfers Part Of The Risk To Investors

The Hong Kong placement changes how Alibaba finances that competition. Instead of funding the entire expansion through operating cash flow, the company is bringing in additional equity capital from investors. That gives Alibaba more financial flexibility but also increases the number of shares outstanding, meaning existing shareholders bear some dilution.

The willingness of investors to absorb the offering is significant. Reports that the transaction was oversubscribed suggest that institutional investors remain confident in Alibaba’s long-term artificial intelligence strategy despite the immediate decline in profitability. The share sale therefore represents a market judgment as much as a financing decision: investors are effectively being asked to finance the next stage of Alibaba’s transformation.

The placement is also structured offshore and is not being registered for participation by American investors. That reflects the increasingly complicated financial environment surrounding Chinese technology companies. Alibaba can still access international capital through Hong Kong, but geopolitical tensions and American technology restrictions limit some of the channels available to Chinese firms.

The broader significance of the transaction lies in what it says about the next phase of the artificial intelligence boom. The first phase was dominated by model development and competition to demonstrate technological capability. The next phase is increasingly about infrastructure: who can secure computing power, build data centres, develop chips and convert that capacity into recurring commercial revenue.

Alibaba is betting heavily that it can compete across all those layers. Its recent cloud growth provides evidence that customers are already paying for artificial intelligence related services, while its established commerce business provides a large base from which to finance expansion. But the latest share placement also shows that the scale of investment required is becoming too large to treat artificial intelligence as a side project funded entirely from existing operations.

The critical test will therefore be whether Alibaba can turn capital expenditure into durable cash generation. A 45 percent increase in cloud revenue is encouraging, but investors will ultimately judge the strategy by whether that growth produces returns that justify billions of dollars in additional infrastructure spending.

The share placement gives Alibaba more money to pursue that objective. It does not guarantee success. It simply gives the company greater capacity to compete in a technology race where falling behind may be more expensive than spending aggressively today. For Alibaba, the central financial question has shifted from whether it can afford to invest in artificial intelligence to whether it can afford not to.

(Adapted from TradingView.com)