Summary of Key Points
Alibaba has been quite active recently:
1. It announced the issuance of 8 billion Hong Kong dollars in new shares, with all the funds to be invested in AI.
2. The group's chairman, Jack Ma, and CEO, Daniel Wu, collectively increased their stake by 120 million Hong Kong dollars, providing market reassurance.
3. Alibaba's stock price in the US market rebounded due to these positive developments.
Behind these moves is Alibaba's substantial bet on the AI sector: its capital expenditure has been soaring year after year (reaching 67.6 billion in a single quarter), and while AI cloud revenue has increased by 45%, it is still in the loss-making phase (with AI labs incurring a loss of 1.38 billion). Experts believe that the share issuance is not a sign of financial distress but rather an indication of investing "long-term capital" in AI projects. Although Alibaba is in the first tier of AI companies, it does not have an absolute advantage. The market now focuses more on whether the investments will yield returns, and the future challenge lies in whether AI revenue can continue to grow significantly and when the investments will pay off.
1. The 8-Billion Hong Kong Dollar Share Issuance: Not a Sign of Financial Strain, but a Smart Strategy for Long-Term Investment
Many people might think, "Does Alibaba need money?" However, that's not the case:
- Enough Cash on the Books, but Not Enough for AI Expenses: Alibaba still has 22.9 billion in operating cash flow, but AI infrastructure (such as purchasing GPUs and building data centers) is a capital-intensive area. The quarterly capital expenditure of 67.6 billion far exceeds this amount, and using all of its own cash would weaken its ability to withstand risks in its core business.
- Equity Financing Is More Cost-Effective than Borrowing: Borrowing comes with interest and a shorter term, while issuing new shares allows the company to exchange equity for funds without the need for repayment, and it also attracts long-term investors to share the risks. Moreover, investing all the funds in AI aligns with the characteristic of AI projects, which are long-term and have slow returns—this is what's meant by "using long-term capital for long-term goals," not a forced need for financing.
- Experts' Views: Angel investor Guo Tao views this as a proactive move in the AI arms race; Dean Tian Feng states that using equity to match long-term assets like data centers (which can last for 10 years) is a fundamental financial practice and does not indicate a lack of funds.
2. Surging AI Investment: Fast Business Growth, but Still in a Loss-Making Phase
Alibaba's investment in AI is evident:
- Capital Expenditure Tripling in Three Years: From 12 billion in Q1 2025 to 38.6 billion in Q1 2026 to 67.6 billion in Q1 2027, a year-on-year increase of 75%, all of which is directed towards AI infrastructure.
- Fast-Growing AI Business, but No Profit: AI cloud revenue amounted to 48.4 billion (a 45% increase year-on-year), and AI-related product revenue was 12.3 billion (a three-digit increase for 12 consecutive quarters), yet AI labs incurred a loss of 1.38 billion (compared to a loss of 3.2 billion in the same period last year), with a net outflow of 44.6 billion in free cash flow (compared to 18.8 billion last year).
- Payback Expectations: CEO Daniel Wu suggests that once product gross margins improve and self-developed chips are adopted, the payback period could be reduced to 2.5 years, with the goal of maintaining a 40% growth rate and positive cash flow.
3. Alibaba in the First Tier of AI, but Without an Absolute Advantage
Alibaba has a solid foundation in AI, but it has not yet established an "absolute dominance":
- Strengths: It has a full-stack capability (from chips to computing power to large models to applications); for example, Alibaba Cloud provides computing power, Tongyi Qianwen is a large model, and its e-commerce and office services use AI for recommendations and assistance.
- Weaknesses: There is still a gap compared to top competitors (such as Baidu Wenxin Yiyuan and ByteDance DouBao) in terms of general large models; its consumer-facing products (like the Qianwen App) have not become popular, and user acceptance has not been established; overall profitability is still in its early stages, and the competitive landscape is evolving.
- Experts' Comments: AiMedia's Zhang Yi notes that Alibaba is in the first tier, but it has not yet built an insurmountable barrier and needs to continue investing to capture medium to long-term benefits.
4. The Market Is More Critical: Capital Expenditure Must Be Justified, Not Just by "AI Stories"
The market used to be receptive to AI-related claims, but now it is more discerning:
- Tencent's Example: Tencent's capital expenditure increased by 176% in Q2 (for AI investments), but its stock price fell by 4.46% the next day—indicating that the market is questioning whether the investments will yield returns.
- Comparison of Google and Microsoft: Both companies have increased their AI investments, but their stock prices reacted differently; Microsoft was able to show that its investments led to revenue growth, while Google did not, so the market made its decision based on actual results.
- Market Expectations: A research report by Zhongtai Securities states that the market now requires "verifiable revenue growth for each capital expenditure." In the past, investors bought into the potential of AI, but now they expect tangible returns, and their tolerance for AI investments is declining.
5. The Future Challenge: Can AI Revenue Continue to Grow Significantly, and When Will the Investments Pay Off?
Alibaba's 8-billion Hong Kong dollar share issuance is just the beginning; the real challenges lie ahead:
- Key Metrics:
- Can AI cloud revenue maintain a growth rate of over 45%?
- Can the capital expenditure pay back within 2.5 years?
- Can the losses from AI labs be reduced?
- Risks: If the growth in cloud business slows down and AI losses continue to expand, the negative free cash flow could become a serious issue, potentially turning into a liquidity crisis.
- Market Pricing Logic: Alibaba's stock price in the future will depend on its ability to provide real revenue growth and financial data to address market concerns about the justification of its investments—no matter how appealing the stories are, the results speak for themselves.
In summary, Alibaba's move is a bet on the long-term future of AI, but whether it will be successful depends on its execution and market feedback. For ordinary investors, it's important to focus on its revenue growth, cash flow, and profitability, rather than just the AI concept.
(Note: This article does not constitute investment advice, and any actions taken based on it are at the investor's own risk.)