Alibaba Group Holding (BABA) reported fiscal fourth-quarter earnings Wednesday morning, and while the company continued showing strong momentum in cloud computing and artificial intelligence, investors focused instead on the collapse in profitability and mounting expenses tied to its aggressive AI and quick-commerce spending push. Shares initially traded higher following the report before reversing sharply lower in premarket trading, falling roughly 2% to 4% as investors questioned whether Alibaba’s massive investments are translating into enough near-term monetization to justify the pressure on margins, free cash flow, and earnings. The report reinforced the central debate surrounding Alibaba today: the company is increasingly becoming one of China’s leading AI infrastructure and cloud computing players, but investors remain uncertain about how quickly that opportunity can turn into sustainable profit growth.

Revenue for the March quarter came in at RMB243.38 billion ($35.28 billion), rising 3% year-over-year but missing Wall Street expectations of roughly RMB246.97 billion. On a like-for-like basis excluding disposed assets such as Sun Art and Intime, Alibaba said revenue growth would have been closer to 11%, but markets largely ignored that adjustment and instead focused on the profitability deterioration. Non-GAAP diluted earnings per ADS collapsed 95% year-over-year to just RMB0.62 ($0.09), dramatically below prior-year levels and well below what investors had become accustomed to seeing from Alibaba historically. Adjusted EBITA plunged 84% year-over-year to RMB5.1 billion ($740 million), while the company swung to an operating loss of RMB848 million compared to operating income of RMB28.5 billion a year ago.

The reason for the sharp earnings deterioration was not difficult to identify. Alibaba is spending aggressively across virtually every AI-related initiative it can find. Management specifically cited investments in AI infrastructure, cloud computing, model development, quick commerce, customer acquisition for the Qwen app, and broader user-experience initiatives as the primary drivers behind the collapse in profitability. The company’s free cash flow also turned sharply negative, posting an outflow of RMB17.3 billion compared to a positive inflow of RMB3.7 billion during the same quarter last year. Net cash provided by operating activities declined 66% year-over-year.

Still, beneath the ugly profitability numbers, there were signs that Alibaba’s AI strategy may finally be starting to show real commercial traction.

The biggest bright spot in the report was Alibaba Cloud, which has increasingly become the centerpiece of the company’s long-term AI ambitions. Cloud Intelligence Group revenue surged 38% year-over-year to RMB41.63 billion ($6.04 billion), accelerating from prior quarters and coming in only slightly below consensus expectations near 39.5% growth. More importantly, external cloud revenue accelerated 40% year-over-year, driven primarily by public cloud demand and AI-related services. Alibaba said AI-related product revenue grew for the eleventh consecutive quarter at a triple-digit rate and now represents roughly 30% of Cloud Intelligence Group revenue.

CEO Eddie Wu attempted to frame the quarter as an important turning point where Alibaba’s AI investments are transitioning “from incubation to commercialization at scale.” Management highlighted strong growth across cloud infrastructure, large language models, AI agents, multimodal AI systems, and enterprise AI applications. The company’s Qwen family of AI models remains central to the strategy. Alibaba emphasized improvements in reasoning, coding, multimodal functionality, and long-context processing while continuing to integrate AI throughout its e-commerce ecosystem.

The market, however, appears unconvinced that monetization is arriving quickly enough.

One of the biggest concerns is that Alibaba’s core China e-commerce business continues seeing heavy margin pressure from the company’s quick-commerce war with rivals JD.com and Meituan. China e-commerce adjusted EBITA fell 40% year-over-year during the quarter despite revenue growth of 6%, as Alibaba poured money into subsidies, food delivery, logistics, and customer incentives. Customer management revenue — one of Alibaba’s most important profitability metrics — rose only 1% year-over-year, though management said it would have increased 8% on a normalized basis excluding subsidy accounting adjustments.

Quick commerce itself remains one of the most controversial parts of the Alibaba story. The business grew revenue 57% year-over-year and management said unit economics and average order value continue improving, but investors remain worried about the profitability profile of competing in China’s ultra-competitive instant-delivery market. Right now, Alibaba appears willing to sacrifice margins aggressively in order to defend market share and integrate AI capabilities deeper into its commerce ecosystem.

Investors also focused heavily on the company’s expense trajectory. CapEx spending tied to AI infrastructure, data centers, semiconductors, and cloud expansion continues ramping aggressively. Alibaba reiterated its massive three-year RMB380 billion AI and cloud investment plan, while analysts noted that the spending surge is now clearly showing up in the financial statements. Several analysts acknowledged the investments could ultimately prove strategically valuable but questioned whether the current pace of spending is sustainable without significantly stronger near-term monetization.

Still, Alibaba attempted to reassure investors that the AI investments are beginning to scale meaningfully. Management noted that annualized recurring revenue from AI model and application services is expected to surpass RMB10 billion during the June quarter and potentially exceed RMB30 billion by year-end. The company also highlighted that Model Studio — its AI model platform — expanded its customer base eight-fold year-over-year as enterprises increasingly adopt Alibaba’s AI infrastructure and large language models.

One area investors are watching closely is Alibaba’s growing vertical integration across chips, cloud, and AI software. Management argued that Alibaba’s internally developed AI chips provide a strategic advantage in an environment where compute capacity remains constrained globally. The company believes control over its own infrastructure stack could eventually support stronger revenue growth and gross-margin expansion as AI adoption accelerates across China.

Alibaba’s AI Spending Spree Crushes Profits Despite Explosive Cloud Growth

Options markets had been bracing for significant volatility heading into the report. May 15 monthly options were pricing roughly a 6.5% post-earnings move, implying a trading range between approximately $127 and $145 by Friday expiration. The 135 to 137 area represented the immediate battleground heading into earnings, with upside call positioning concentrated heavily at the 145 and 150 strikes. Put protection was layered below the market at 135, 130, 125, and 120, signaling traders viewed the report as a high-risk event.

From a broader market perspective, Alibaba’s report likely reinforces the growing divide investors are seeing across global AI spending. Demand for AI infrastructure, cloud services, compute, and models clearly remains extremely strong, but monetization timelines remain uncertain and increasingly expensive. Alibaba’s cloud growth numbers showed the AI race in China is accelerating rapidly, but the earnings collapse demonstrated just how costly it is becoming for companies to compete at scale.

Ultimately, the quarter did little to resolve the core Alibaba debate. Bulls will point to accelerating cloud growth, exploding AI demand, improving quick-commerce metrics, and Alibaba’s increasingly dominant AI ecosystem positioning. Bears will focus on collapsing margins, negative free cash flow, rising CapEx intensity, and the reality that much of the AI monetization story still appears several years away. For now, the market appears more focused on the costs of becoming China’s AI leader than the eventual rewards.