Alibaba Bets Big on AI Despite Profit Plunge as Cloud Growth Accelerates

Alibaba's cloud revenue surged 38% in its latest quarter on AI demand, driving a 7% share jump despite an 84% drop in adjusted EBITA and negative free cash flow. Executives forecast accelerating returns over three to five years and plan to exceed prior AI spending targets. The results highlight a sharp contrast between heavy infrastructure investment and enterprise adoption that is already lifting external revenue growth to 40%.
Alibaba Bets Big on AI Despite Profit Plunge as Cloud Growth Accelerates
Written by Ava Callegari

Alibaba Group posted mixed fiscal fourth-quarter results this week. Revenue rose a modest 3% to 243 billion yuan. Yet its U.S.-listed shares jumped as much as 7.5% in early trading. Investors looked past an 84% drop in adjusted EBITA and focused instead on surging demand for artificial intelligence services.

The numbers tell two stories. One of heavy spending that erased near-term profits. Another of accelerating momentum in cloud computing that executives say will define the company’s next phase. Cloud Intelligence Group revenue climbed 38% to 41.63 billion yuan. That pace beat the previous quarter’s 36% growth. External customer revenue grew even faster at 40%. And AI-related products now make up 30% of that external revenue.

Triple-digit growth. For the eleventh straight quarter. AI product revenue hit about 9 billion yuan in the period. CNBC reported the details alongside comments from Chief Financial Officer Toby Xu. “Our strategic investments continued to translate into business growth,” Xu said. “Cloud Intelligence Group’s revenue continued to accelerate, with AI-related product revenue achieving triple-digit growth for the eleventh consecutive quarter.”

CEO Eddie Wu struck an even more confident tone on the earnings call. Returns on investments in AI, cloud and e-commerce “are increasingly clear,” he told analysts. “Our technology investments are beginning to pay off commercially.” Wu added that Alibaba would exceed its earlier commitment to invest up to 380 billion yuan in AI over three years. He gave no new ceiling. Margin, he said, remains secondary to gaining market share and cementing leadership.

But the costs showed up immediately. Adjusted earnings per American depositary share came in at 0.62 yuan. Analysts had expected far more. Group adjusted EBITA fell 84% to 5.1 billion yuan. Free cash flow swung deeply negative. The company pointed to spending on AI infrastructure, data centers, chips and its quick-commerce operations. China e-commerce revenue grew 6%. International commerce added another 6%. Quick commerce revenue jumped 57% while its losses narrowed sharply.

Still, the market bought the AI narrative. Yahoo Finance captured the share reaction and broke down the cloud unit’s performance. Adjusted EBITA there rose 57% to $550 million even as the company poured capital into capacity. Wu told investors he expects cloud margins to expand in the next one or two quarters. Current spending, he said, will lift profitability over time.

Forward guidance carried particular weight. Wu forecast annualized recurring revenue from AI model and application services to top 10 billion yuan in the current June quarter. He sees that figure reaching 30 billion yuan by the end of the year. AI-related revenue, he predicted, will become the main driver in cloud and exceed 50% of that business within about a year. The company has separated its AI efforts from the core cloud unit. Wu now oversees the “Alibaba Token Hub” group charged with making the segment profitable.

Alibaba isn’t alone in this race. Chinese rivals such as Tencent also chase AI opportunities. Yet Alibaba claims a structural edge. As the only domestic provider able to deliver self-developed AI chips at scale, it controls more of its compute supply chain. “In an environment of compute scarcity, this structural advantage is favorable to our revenue growth and gross margin improvement,” Wu said according to Yahoo Finance coverage of the call. The company has upgraded its Qwen chatbot. Users can now shop on Taobao and Tmall by conversing with an AI agent rather than browsing listings. That feature helped drive the app to 166 million monthly active users even as the company subsidized usage.

Analysts and recent coverage highlight both the opportunity and the risks. AP News noted the cloud acceleration outpaced recent quarters while overall revenue growth remained tepid. Operating loss swung to 848 million yuan from a year-earlier gain. Many technology companies now wrestle with the same question. How do you spend aggressively on AI while proving the economics work?

Alibaba’s cash position offers breathing room. It closed the quarter with $75.5 billion in cash and liquid investments. The board approved an annual dividend of $1.05 per ADS for a total payout around $2.5 billion. That signal of confidence came even as free cash flow turned negative at $2.51 billion for the period.

Executives described the next two years as a critical window. They plan to stay aggressive. “We’ve been very resolute in making those investments over the past year and looking forward to the next two years, we intend to be equally resolute in continuing these investments because we see this as a critical window of opportunity,” one executive said on the call. ROI over three to five years looks “extremely clear” to management.

Whether that timeline satisfies investors will unfold over coming quarters. So far the market has given the benefit of the doubt. Shares reversed early pre-market losses and climbed on the AI momentum. Cloud growth at 38% with external acceleration to 40% stands out against slowing e-commerce trends in a challenging Chinese consumer environment.

Public cloud services led the way. Enterprise adoption of AI tools deepened. Some customers faced price increases of up to 34% on certain compute instances amid tight supply. That pricing power, combined with self-developed chips, underpins management’s margin optimism. Yet the subsidies extended to consumer-facing AI apps such as Qianwen echo tactics from the mobile era. They drive usage. They also pressure cash flow.

The contrast between B2C subsidies and B2B strength appears clearly in the results. Consumer AI grabs headlines and users. Enterprise cloud delivers the revenue acceleration and the path to better unit economics. Alibaba’s bet rests on infrastructure. It positions itself as the picks-and-shovels provider in China’s AI buildout rather than solely competing on model performance.

Recent commentary on X reflected similar themes. Investors noted that even with executive departures or open-source model releases, the company’s moat lies in cloud capacity, chips and data-center scale. One post highlighted how the 38% cloud surge and 30% AI contribution to external revenue demonstrate real enterprise demand despite consumer subsidies pushing free cash flow negative.

Alibaba now targets market leadership above all. Faster-than-average growth. Larger share. AI as the primary growth engine inside cloud. Those goals take priority over short-term margins. The strategy carries echoes of past tech infrastructure races where heavy upfront spending eventually yielded dominant positions and expanding profitability.

Success is far from guaranteed. Competition remains fierce. Geopolitical tensions could constrain chip access despite domestic alternatives. Consumer spending in China shows uneven recovery. But this week’s market reaction suggests many investors believe the AI and cloud story outweighs the current profit compression. They see a company willing to spend more than originally planned because early returns have begun to appear.

Wu and his team have drawn a clear line. They will not ease off the accelerator. The next several quarters will test whether those investments deliver the margin expansion and revenue scale they project. For now the market has responded with renewed optimism. Alibaba’s cloud business is no longer just a supporting act. It has become the central growth driver in a story increasingly written in silicon and algorithms.

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